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Getting Started with Generative Design for Inventor Users

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Description

Generative Design is changing the way we design, engineer, and manufacture the products of tomorrow. By leveraging cloud technology - 100’s or 1000’s of higher performing design options can be generated based on objectives, allowing users to make tradeoffs for different materials, performance, and production options. The benefits of Generative Design are also not restricted to just the world of Additive Manufacturing, but can also be leveraged with Subtractive Manufacturing, and even as design inspiration for traditional techniques. What you might not be aware of, is that Generative Design technology is now available to any user of the Manufacturing collections. This allows you to seamlessly go from your CAD workflows within Inventor, to generating a design in Fusion 360, back to having the generated design into the context of your original assembly with Inventor. Join us to learn how to get started with Generative Design in Fusion 360, hands-on, alongside Inventor.

Key Learnings

  • Understand the benefits and workflow of Generative Design
  • Leverage Generative Design in Fusion 360 alongside Inventor
  • Understand how to implement Fusion Team and AnyCAD to associatively connect data between Inventor and Fusion
  • Post-process and validate an exported Generative Design

Speakers

  • Avatar for Matt Lemay
    Matt Lemay
    Matt Lemay is a part of Autodesk’s Fusion Adoption team – focused on ensuring customer success in the adoption of Generative Design & Additive Manufacturing. Before joining Autodesk 3.5 years ago, Matt was an applications engineer in the Aerospace Composites industry and a design engineer for Additively Manufactured surgical implant technology. At Autodesk, Matt has also been involved with the Autodesk Pro Bono program, specifically around projects related to Additive Manufacturing and non-profit medical projects - Granta, low-cost Cranial Implant Manufacturing in Mexico & Nia Technologies, 3D Printed prosthetics in Uganda. Matt’s professional passion is helping designers and engineers leverage next generation technology like Generative Design & Additive Manufacturing to create competitive separation.
  • Avatar for Alessandro Gasso
    Alessandro Gasso
    Alessandro Gasso is currently employed as Fusion 360 Adoption Specialist within the Customer Success Organization at Autodesk, Inc. Over the past 22 years with Autodesk, Ale has worked in various roles including product support specialist for Inventor, the lead for the EMEA Inventor Product Support Team, EMEA technical lead of Inventor software, premium support specialist leading the PSS Manufacturing Team, manufacturing industry technical lead, and Enterprise Solutions leads manager. Ale was the co-author of the Being Inventive Inventor blog, and he has spoken at Autodesk University from 2012 to 2022. Before Autodesk, Ale worked for 7 years as a mechanical designer for a company in the defense industry. Ale is a native of Italy who speaks English, Italian, French, Spanish, and Portuguese, and he holds a master's degree in electromechanical engineering from the University of Naples (Napoli).
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Transcript

MATT LEMAY: My name is Matt Lemay, and I'm part of the Generative Adoption team here at Autodesk. I work in the Americas. And my colleague Alessandro works in EMEA.

ALESSANDRO GASSO: Yeah, Alessandro Gasso, counterpart of Matt for Europe, for the Generative Design Adoption.

MATT LEMAY: Excellent. So I've been working at Autodesk now for four years. My prior focus was on additive manufacturing. But with the launch of generative, that's really been my focus now for the last year and a half or two years. So to get started, we're going to quickly walk through what we hope to provide you today.

So first and foremost, we hope to really cover the why of generative. So how many people have seen a generative presentation so far this week? Pretty much everybody? So the first thing we really want to cover is that, generative is not just applicable to those extremely high-end additive manufacturing parts. But you can also apply generative to traditionally manufactured components today.

We hope to show you the workflows, starting off within Inventor, moving to Fusion to connect generative. And then moving that generative part right back to Inventor. So again, the agenda, about 20 minutes, we're just going to have a brief presentation that kind of covers some points that you might not have seen within other generative classes so far this week. Then we'll start with the workflow hands-on within Inventor. So we'll really walk you through the entire process.

So starting off with the assembly within Inventor, we'll create our preserve and obstacle geometries for generative. We'll extract that geometry and we'll send that over to Fusion 360, where we'll run through the entire generative process from start to finish. We'll then generate a component, send it right back to Inventor.

So just to quickly try and start here, how many people have used Inventor in the past? So great to see, pretty much everyone, that's really what we needed. How many people have used Fusion 360 in the past? So less, but still a pretty good amount. And how many people have used Generative in the past? So significantly less, OK.

So when we're talking about generative, I think one of the most important things to think about, for all of those that are new to generative technology, as I'm sure you've heard with a few of the other sessions, is that generative is free for the next six weeks. So if you have access to Fusion through PDMC, if you're subscribed to Fusion, if you have access to Fusion, you can try generative as much as you want for the next six weeks for free. So this is really a tremendous opportunity to really get in there and try to learn as much as you can on where it might fit for you and your company.

So in a lot of the generative presentations that you might see, you'll see these very organic, almost alien-looking components coming out of generative. And while generative can certainly produce those kind of outcomes, the ones that we're honestly more excited about are the ones that are easy to manufacture and apply a real return on investment for you and your company. So when we think about generative, why is this process so important to the things that you might make? So a quick quote here that kind of frames it well, and I won't say, this because Ale's Italian voice is a lot better than mine.

ALESSANDRO GASSO: Yeah, that's a free translation. So basically, Leonardo da Vinci was saying that, a problem as a solution when it's well-framed. Since centuries, we jump directly to the solution and then try to adjust it a little bit, while the approach with generative design is completely the opposite. We need to be good in framing the problem. And let's say, in generative we do the CAD work [INAUDIBLE].

MATT LEMAY: Thank you. So when we look at these major transformations that have happened throughout the CAD industry, just to see the impact that we think generative will have, the first major shift was moving people from drafting boards to 2D CAD. So now, as the engineer had the ability to work electronically with their models, the value that they had significantly increased.

We saw the same thing with 3D CAD. So now that we can look at the assembly context of our model, we can look at parametric modeling, again, the value that the engineer has drastically jumped from 2D to 3D. We saw the same thing with finite element analysis. When we can simulate a prior to actually producing it, again, the value of the engineer drastically increased.

So we see this same sort of transformational leap as we move to generative technology. And as Ale said, the thing that's unique about generative is that, for the first time, we're actually framing the problem, we're framing the objectives, and we're allowing the computer to be a co-creator with us in that process, generating hundreds of options that we probably wouldn't have thought of completely on our own.

So when we look at this traditional process that we're really trying to effect, when our customers have told us they're trying to bring a product to market, they typically will look at a small handful of outcomes. So maybe four or five products, they'll look at the manufacturability, they'll look at the structure, they'll make trade-offs. And in the end, they're bringing a product to market, while maybe it took longer than what they would have liked, worse than that, it's probably very similar to the other parts that they may have brought to market in the past.

So what we'd really like to change within generative is, right at that first phase within bringing a product to market, rather than coming up with some of our own ideas, we're again leading with our objectives. So we're saying, I need a part that can hold a certain amount of mass. I need a part that can hold a certain amount of pressure.

I know these are the manufacturing types and the material types that I'd like to explore. And then generative will allow us to generate and quickly explore hundreds or thousands of viable options that we probably would have never thought of. So while this allows us to potentially bring a product to market quicker, much more valuable than that is, it's allowing us to explore geometry and product options that we would have never thought of in the past.

So when we think about the main value propositions of generative technology today, the first one, again, is really exploring a range of options. So we're not just optimizing for a single material or a single manufacturing type. We're allowing generative to explore the entire range of options, and then we can make the right trade-off choices on our own.

Next would be, we're applying real manufacturing intelligence. So I said at the beginning, many people are familiar with those very organic, alien-looking components coming out of generative. But what you might not be used to is that we can do things like traditional manufacturing-- two axis cutting, CNC, and even casting-- within generative today. And then finally, since we do want to be the front end of that product cycle, what comes out of generative is actually solid, editable CAD geometry that you can continue to adjust, validate, and then move forward through that process.

So to quickly highlight an example that shows a lot of those things, I'm sure many people have seen the project that we did with General Motors about a year and a half ago. And it took that eight-part assembly to the top left and generated a single-part replacement. So that replacement was lighter. It was stronger. But probably more importantly than that, it allowed GM to look at 150 viable options and compare across material and manufacturing options.

So when we look at what generative is going to do, generative will take the entire volume that a part could fill, and it will either add or subtract material from the functional requirements that we set-- so things like loading-- and also the manufacturing requirements that we've set-- so things like CNC, additive, casting, whatever it might be. It will then generate the range of options for us. And then we can start making the correct trade-offs to figure out the right one to move forward with.

So when setting up a generative project, it's actually really simple. There's only a couple of things that we need to keep in mind. We need to think about our current assembly context. So what are the things that we need to keep in and what are the things that we need to keep out? And right from there, we can start working through this process.

So many people are probably familiar, again, with examples like General Motors, on using generative for things like additive. But a lot's changed, even within the last six months, that makes generative a lot more applicable to traditional manufacturing. So the first one being, as I mentioned before, generative applies to things that are not just additive manufacturing today. We have a number of components, I think, in the back, if we could hand those out. These show an entire range of options, everything from additive to subtractive to casting, on a range of options.

And then second would be, just recently, we've partnered with a company called aPriori Technologies to put in costing analysis within generative. So now as we're generating all of those options, we're looking at the high-performing additive and the CNC and the casting. We can now have an idea about how much each one of those is cost, so we can actually do a cost versus performance trade-off on each.

So to the first point on, generative is now applicable to things much more than just additive, take a look at these three examples on the screen. So one of these is entirely modeled through a human. One of these is entirely generative. And one of these is a combination of both human and generative.

So how many people think the generative component was number 1? A few people. How many think generative was number 2? OK, a few more. And how many people think generative was number 3? OK, so a pretty good mix of results there.

So when we look at these options, when we're applying generative today, again, we can apply traditional manufacturing techniques. So within this process, we applied 2 and 1/2 axis CNC constraints to make something through generative that's not just higher performing and created through the generative process, but it's also easy to manufacture. And the manufacturing constraints have gotten to the point where they're so good, when we had people raise their hands in the audience, it was pretty much an even split between all of these parts. So that's how close generative is to making things that are not just higher performing, but also easy to manufacture.

So to quickly walk through that workflow, as we're setting up a generative project today, of course we can do the additive. We can do the unrestricted. But what you might not know is we can do the CNC, the two-axis cutting, the casting solutions. And we can compare them all side by side.

So maybe for one project, the appropriate solution would be the extremely high-performing additive component. But more likely than not, for the majority of your projects, things like CNC and casting would actually be the more appropriate solution. But you can compare all of these side by side, and even generate things as prismatic as this two-axis cut part that we see on the screen.

So just to quickly highlight that again, so we look at that same triple clamp. So on the top left, you have the human-created geometry. Everything else on that row is completely generative. So we have a 2 and 1/2 axis part, higher-performing than the human geometry, but also easy to manufacture. You have slightly higher performing 3 and 5 axis CNC, and then additive. But again, this is all happening at the same time within one project.

So it's great to compare all these different performance options. But that doesn't really mean anything to us unless we truly understand the cost of each one. So as I mentioned, we partnered with a company called aPriori Technologies. So with each one of our generative outputs, we can also view exactly how much that part would cost to manufacture.

So what aPriori looks at in the backend is, it looks at the geometry of the part, it looks at the material, the manufacturing type, the production volume. And it comes up with a cost estimate for each one of those. Now, comparing that with the performance trade-offs allows us to do some really powerful things early on. So here we can start looking at the correct manufacturing type for the right performance options.

So with that, I think we should start kicking off the workflow within Inventor, just to quickly talk about the workflow that we'll be showing today. So generative design is a part of Fusion 360. Pretty much everyone here in the room is more comfortable with Inventor. So the workflow that will actually show is setting up all of your generative geometry within Inventor, and then moving that to Fusion to run generative, and then bringing that geometry right back into Inventor. So we're not trying to replace Inventor with anything. We're essentially adding Fusion 360 and generative within that workflow.

So with that, I'll hand it off to my colleague, Ale, who will start us off with the Inventor workflow.

ALESSANDRO GASSO: OK, so now, stop listening. Now we should start working a little bit. So I hope that you have Fusion 360 and Inventor up and running on your machine. Can you confirm that? Great. OK, so please open Fusion 360. And then click here on the name of the user. And then you go on Switch Team. And you should see that the active team is the Ale Sub. You all have that? Someone has it, no one? Oh, OK.

MATT LEMAY: If anyone needs any help, we have probably six people in the back row too. So just kind of raise your hand if there's anything that you get caught on.

ALESSANDRO GASSO: So you click on the name, Switch Team. And you should see here, Ale Sub as the active. Yeah, sign in. There a lot that cannot sign in in Fusion.

AUDIENCE: [INAUDIBLE] sign in.

AUDIENCE: If anyone can't sign in on Fusion, go to Explorer. You'll see an F drive. And in that, there's a script called Login [INAUDIBLE] log you in. You should be able to login under [INAUDIBLE].

MATT LEMAY: How many people are seeing those problems logging in? A pretty good amount of people here.

AUDIENCE: It's not [INAUDIBLE]. It's actually [INAUDIBLE]

MATT LEMAY: OK, so it's just the command now. OK, got it.

[INTERPOSING VOICES]

ALESSANDRO GASSO: Sorry for that. I hope we will manage to--

MATT LEMAY: It's easier from here.

ALESSANDRO GASSO: This is the trickiest part because, I mean, it didn't depend on us.

MATT LEMAY: OK, so has everyone found Ale's team name? Good? OK.

ALESSANDRO GASSO: OK? OK. So if you open the Fusion 360 data panel, you should see a project called AU2019 GD for Inventor. So double-click on this project. And then click on New Folder. Yeah, problem?

AUDIENCE: [INAUDIBLE]

ALESSANDRO GASSO: Yeah, yeah, sorry. So I have a lot of projects here. But you should see just AU2019 GD for Inventor. Can you see it? OK, double-click on it. OK, don't create a folder named New Folder, please. So create folder with your name because everybody is going to create a folder here. So for instance, in my case, I create a folder called Ale Gasso. And then press Enter. [INAUDIBLE]

And then once you have created a folder with your name, double-click on the folder for opening it. Are you all there? Almost?

AUDIENCE: [INAUDIBLE]

ALESSANDRO GASSO: Almost there? So let's see how many folders do we have. Yeah, OK, your name or anything that is unique to you. Good. So double-click on the folder with your name. Open the folder with your name. And then click on Upload. Then select File. And you should browse on a folder that should be on the desktop that is the name of this class, something like, IM, numbers, and then L, getting started with generative. So again, you should double-click on your folder. You should have the name of your folder here.

AUDIENCE: [INAUDIBLE]

ALESSANDRO GASSO: Ah, you cannot double-click on your folder. OK, so let's wait a few minutes. All the folders are there? Yeah, because everyone is creating the folder and keep on refresh. OK, have you managed to double-click on your folder and open it? Everybody has opened his own folder?

So click on Upload. Then select File. Then you should have a folder on the desktop with a subfolder with the name of this session, IM whatever, L, getting started with generative, design for Inventor. And then you have the data set. And then you have the Fusion 360 files. You select the file. You click Open. And then you upload the Fusion 360 file under your folder. The file should be located-- there should be a folder on the desktop, right? No? Sorry, where are the files located?

AUDIENCE: C [INAUDIBLE]

ALESSANDRO GASSO: C?

AUDIENCE: C [INAUDIBLE]

ALESSANDRO GASSO: Has anyone found the file?

MATT LEMAY: Oh, go to C. And then go to Data Sets. And then if you scroll down, you're going to look for Inventor in generative, the class name, getting started in generative. And then if you click on that one-- no, just open the folder at that level.

ALESSANDRO GASSO: OK, did you upload the file? OK, very good. OK, so now we can close this and move back to something that should be more familiar with you, Inventor. So first thing you should do in Inventor, you should set the right project. So you click on Project. And then you browse to the location where you have the Fusion 360 file. There is another folder called Inventor. That is it. Can you see it?

Inventor data set, and then you select the project Front Loader. And make sure that the front loader is the active project. So the same location where you have the Fusion file, you have another folder with the Inventor data set. Under this folder, there is a project called Front Loader. Of course, you need to select this project and make this project the active project in Inventor.

We are in Inventor now, eh? Good. OK, so you open the Main Assembly Front Loader. And basically, what we are going to do, we are going to design with generative design the middle linkage for this front loader, basically starting from scratch and doing all the CAD work in Inventor. So if you are an Inventor user, this should be really simple for you.

So Inventor is open in the main assembly, as I hope this is the same for you. So we need to design the middle linkage that is missing here. So please select this subassembly and open it. And then you should see that in this subassembly, I have created a level of details. So please activate the level of details that contains just the component that I need as reference for creating the entities that I'm going to use for doing the setup in generative design.

OK, now, one of the most interesting parts-- so I create a new part in Inventor, so a new part in Inventor. And I'm going to save this part. So if you click on Save, don't save the part in the project. But if you click here and if this top connector is working on your machine, you should Fusion 360 that displays like if it was a drive. Can you see it when you save the part?

AUDIENCE: It was also loading forever. [INAUDIBLE]

AUDIENCE: Yeah, I heard some people say [INAUDIBLE].

ALESSANDRO GASSO: It's still loading the main assembly?

AUDIENCE: [INAUDIBLE]

ALESSANDRO GASSO: OK, no problem. I'll wait. Are we all here? Are we here? OK, good. That's already a good start. OK, now, just select this subassembly, right-click, and open it. OK, this subassembly contains a level of detail called GD. Activate the level of detail, and you get this. So this contains the component from the original assembly that I'm going to use as a reference for generating the geometry for the generative design setup. Are you all here? Perfect.

Now, create a new part in Inventor. So a new part, OK, good. Now save this new part, but don't save it in the project. So click here, and you should see Fusion 360 as if it was a drive. Can you see it? Good.

No.

ALESSANDRO GASSO: Yes, no, maybe? If you don't see it, it means that this [INAUDIBLE] connect [INAUDIBLE]. OK, if you click on Fusion 360, you should see Ale Sub. Double-click on Ale Sub. And then you should see the project. You should see the project. You should see less projects than I see. You should see the project AU2019 GD for Inventor. Can you see it?

Double-click on it. And then double-click on the folder with your name. OK, give a name that makes sense to the part. So for instance, I call it Ale Inventor Part. And then save the Inventor file under the folder with your name. Click Yes, because we are saving this outside the Inventor project. Are we good? Good, perfect.

Now, if we move back to Fusion 360, under your folder, in a few seconds, hopefully, you should see the Inventor file, the Inventor part that we have just saved listed in the Fusion 360 Data panel. In general, it takes a few seconds. Of course, for the [INAUDIBLE] this time [INAUDIBLE].

Or it won't work at all. Ah, OK, so can you see the Inventor file in the Fusion 360 data panel? Can you see it? OK, this is 100% an Inventor part file that I can save directly from Inventor to Fusion 360.

OK, now we go back to Inventor and we start. So what we are going to do now, so we are going to create the obstacle geometry. So we are going to create in Inventor some entities that then, when we do the generative design setup we are going to define as the obstacle, so the keep out zone.

OK, so now in Inventor, the new part, Manage, Derive. Double-click on this AC chassis front. Then select this subassembly, AC chassis front 001. So you select it, and then go to the option, and make sure that we are going to basically derive this assembly with the option, the GD level of detail. We can also disable the associativity because we don't need it. So we click OK, and we open. So we derive this assembly.

Now, don't click OK. So first up, bodies-- we need just a single body because this would be just a big obstacle. Then on the other tab, click on the root assembly and disable the import of all the working geometry. OK, representation, just check that we are using the level of data.

OK, the option, I'm going to patch all the holes, because I don't need the holes. This is an obstacle. Reduce memory, and then I remove all the internal voids because I don't need them. And click OK. And you should get something like that.

AUDIENCE: Could you share the options again? Could you share the options to derive?

ALESSANDRO GASSO: Yes. So bodies, single solid body, then other tab, click here. And then click to exclude everything. And then the option here, patch all the holes, reduce memory, and remove all internal voids. Yes, questions, problem?

AUDIENCE: One more time.

ALESSANDRO GASSO: One more time, OK.

AUDIENCE: [INAUDIBLE]

ALESSANDRO GASSO: Should I import the assembly from scratch? OK, redo. Replay. OK, Manage tab, Derive. Then open this folder, AC Chassis Front. Then select this assembly AC Chassis Front 001. Option, make sure that you are using the level of detail GD. Open. Just click OK on this message. Then, Bodies tab, first option, so the single body. Then Other tab, select this, exclude everything. Option, I patch all the holes, reduce memory, and I remove all the internal voids. Too fast?

OK, and you should get something like that. Now very, very important-- if you get something like that, select the derived assembly in the browser and break link with base component. Because now we are going to save this, and everything will be sent to Fusion 360. If we don't break the link, basically, we will have to wait three, four hours that all the references move from Inventor to Fusion 360.

OK, so you have this? Did you break the link? Fantastic. OK, now just save, save the file. And then move back to Fusion. And in a few seconds, we should see a message under your folder. We should see a message, an update. And when we see that, hopefully in the next few seconds--

MATT LEMAY: So just a note, if someone's completely lost in the workflow that we've done so far, that's completely fine. Because when we get to the generative portion, we have a generative ready file that you can just continue on with. So we know there were problems with some of the accounts, so don't worry about it too much if you're looking at a blank screen. We can really catch everyone up at that point.

ALESSANDRO GASSO: So just relax and enjoy your flight. Of course it's a little bit slow. Now you should see something like that. So I got the update from Inventor to Fusion 360. So now right-click on the Inventor part in the Fusion 360 data panel and open it. Are you opening it?

AUDIENCE: [INAUDIBLE]

ALESSANDRO GASSO: Did you get something like that?

MATT LEMAY: So it's not opening? Yeah, you shouldn't have to save the--

ALESSANDRO GASSO: Not yet because it's still opening? So this is an Inventor file that we can open in Fusion 360, native file, nothing to convert. You see here, there is this icon that tells us that the file is associative. So in theory, if I change something in Inventor, I get the update in Fusion 360. Are you almost all here?

OK, so now click on Design and move from the design environment to the generative design environment. Now, all those entities are supposed to be obstacles. So click on this icon, Obstacle Geometry. And window select everything that you have on the screen. And then click OK. And you should see all red.

MATT LEMAY: So just to quickly highlight what we're really trying to do here, so when we're generating the new middle linkage component for the front loader, we know that we have existing components within our assembly that we need generative to avoid. So what we've done is, we've brought that subassembly from Inventor into Fusion so we could call out all those objects as obstacle geometries, which means, keep out. Does that make sense for everyone?

ALESSANDRO GASSO: OK, so now we have the obstacle. So basically, we have done that. Now, still in Inventor, we are going to create other entities in Inventor that then we are going to define as the preserve geometry. So now back to Inventor, and now in this case, I trust on your Inventor skills for following what I'm going to do.

I'm going to do something really basic. But if you are not proficient with Inventor, I don't think you can follow what I'm going to do. I think, as Matt said, we have the almost final part in the folder. But if you're proficient with Inventor, please try to follow what I'm going to do.

So I'm going to create other entities still in Inventor. So I'm not doing nothing so far, no CAD work in Fusion 360 so far. But then, as I have defined those entities as obstacles, I'm going to define the other entities as preserve geometry. So the first thing that I'm going to ask you-- I know that in the US this is almost a crime. But you should go here-- Tools, Document and Setting, Units.

I live in Europe, so I work in millimeters. So please change from inch to millimeters. It works the same way in inches, but what I'm going to do is millimeters. So sorry for that, but you should have millimeter there. OK, once you have done these things that I'm really ashamed to have asked to you-- OK, so first thing that we are going to do, we are going to define a mid-plane between this face and this other face.

And you should get something like that. So basically, I'm going to create a master sketch. And using this master sketch, I'm going to just create a simple extrusion that then I'm going to define as preserve geometry.

OK, if you have this plan, then we are going to start a sketch, selecting this plane. And for a better visibility, we are going to activate the slice graphic mode. OK, very simple, very simple step in Inventor, but if you cannot follow it, there is the final file.

OK, we are going to project this geometry, then this geometry, and this joint. Then we are going to offset the geometry. It doesn't matter how much because then we are going to apply the dimensions. OK, then let's apply the dimension.

So this is 210 millimeters. You cannot see it because I need to update the graphic driver. But this is 210 millimeter. This is 180 millimeters. And then I apply a constraint, so this is equal to this one.

Then I'm going to create a construction line that basically is going to pass through the center. So first center here, second center here, and the third center here. OK, now, no more construction line, so normal line, I'm going to draw a line here. And then this line must be perpendicular to the construction line and must be tangent to this circle.

Then I'm going to draw a line from here to here. Then this line must be perpendicular to here and must be tangent to here. And then I'm going to mirror this line using the construction line as mirror line. Then I trim those lines. And then I create a three-point rectangle here, here, and then 50 millimeters.

OK, now I'm going to do basically the same things the other side. Sorry, this is a little boring part, but just to show you that I can do all the CAD work in Inventor and then move to generative design. So again, this line perpendicular to the construction line, and then tangent to this line. Then a line from here to here that must be perpendicular here. It doesn't look right. Again I mirror this line using the construction line. I trim this. And then I create the same rectangle, 50 millimeter.

OK, so now I have my master sketch. Now, from this master sketch, I'm going to create simple extrusion that then I'm going to define in generative design mainly as preserve geometry. But I will create also some entities that should be added to the obstacle. But I will show you an option in Inventor that will, basically, using that option, the entity that I create in Inventor is going to be added to the obstacle in Fusion automatically.

OK, so I finished the sketch. Now, for facilitating the view of the sketch that I'm going to extrude, I'm going to use an off section view. So I'm going to do things that, in general, are not necessary in Inventor. But so off section view using this plan are not necessary in Inventor, but just so that you can see better the sketch that I'm going to extrude.

OK, for the first the extrusion, I'm going to select, basically, all those profiles. I will start from this plane. And I will do an extrusion of 20 millimeters. Now, very important-- this is an entity that I'm going to define as preserve geometry, so I need to create a new solid. OK, so now I make the sketch visible again.

And I will extrude this profile to this face. And again, this is a preserve geometry, so new solid again. OK, now I need to mirror those two solids. Normally, I don't need to do that. But in this way, it's easier to see the profile that I'm selecting. So I'm going to mirror the solid, so this one and this one. And of course, this is the mirror of the plane.

MATT LEMAY: So just a note again, for those that are a little bit behind, that's completely OK. In about five minutes, we'll show the workflow of having the setup generative part within Fusion, and then we can continue from that step.

ALESSANDRO GASSO: Thank you. OK, now I'm going to do another extrusion. So I'm going to extrude this profile to this face. But in this case, this is something that is supposed to be added to the obstacle. Because you see, I cannot have material there because this part is going to move. In this case, instead of creating a new solid, I will use the Join option. And as you will see, in Fusion 360, this will be automatically added to the obstacle that I have already defined.

In this case, this is just a feature, so I just mirror this feature to this plane. Now I'm going to do the same boring stuff on the other side. So I extrude this, this, this, and this, starting from this plane, 20 millimeters. New solid, new solid because this is preserve geometry.

Then again, I extrude this face here. Again new solid because this is a preserve geometry. Then I mirror the two solids using this mirror plane. I did something wrong. Solid, this solid, this solid, and this is the mirror of plane.

OK, now, another extrusion, so I'm going to extrude this profile to this face. But this is an obstacle, so not new solid but join. And then I mirror this feature as well to this mirror plane.

OK, and now the last boring stuff-- so I extrude this face to this plane. But new solid because this is a preserve geometry. And then a mirror this solid, of course still using the plane.

OK, and now I can go in a normal view. I can hide the plane. I can hide the sketch. And you should see something like that. How many of you could follow me-- no one? No problem.

OK, but if now I save this file in Inventor-- no worries, huh? You have the file in your folder so that we can-- if I see this file in Inventor and I go in Fusion, I switch momentarily to the design workspace, after a few seconds, I should see the update coming from Inventor, in a few seconds, hopefully.

MATT LEMAY: So what we're showing here, so again, within generative, you can create the preserves and obstacles in any CAD package that you're really most comfortable with. So the workflow we're showing here is, you're within your Inventor assembly, you're creating the preserves and obstacles there and then sending that to Fusion. But you can also use all of the modeling tools within Fusion to do that as well. It's really whatever you're more comfortable with.

ALESSANDRO GASSO: I should see the update, but apparently the connection is a little bit slow. OK, what's going on here?

AUDIENCE: [INAUDIBLE]

MATT LEMAY: No, it should automatically update the version.

AUDIENCE: [INAUDIBLE]

ALESSANDRO GASSO: Let me see it again just to be sure. I go to the [INAUDIBLE] here, hopefully. OK, for some reason I'm not getting the update. OK, finally, thanks to the fantastic network speed we have here.

OK, so you get this notification that, basically, there was an update in Inventor, and you can consume this update. You click on it. And hopefully, in a reasonable time, you should download the app. And we got that.

Now, if we switch back to the generative design environment, maybe you can notice that some of the entities that I've just created in Inventor are red. So they have been added automatically to the op cycle that we had already defined. And this is because in Inventor I have used the Join option. I can hide, momentarily, the obstacle. And all the other entities that I've created in Inventor, I can define them as preserve geometry and they will display green.

Now since, because of me, you could not follow all the steps, in your folder, you should have a file called From Inventor. So if you open this file, you should have exactly what I have here. So if you have this, if you open this file from Inventor, and then you switch to generative design, you have the obstacle and the preserve geometry that we have created in Inventor. And now from here, we have done all the CAD job in Inventor. From here, we can start doing the setup for doing a study in generative design. And now I hope you can follow me.

OK, so we have already our design space defined, so obstacle and preserve geometry. Now we should apply load and constraints. So for doing that, we can hide the obstacle. Because obstacle is just material that won't be there, so it doesn't make sense to apply load and constraints there, so we just need to see the preserve geometry. And then we start creating the first load case.

So for the first load case, we fix the preserve geometry here. So we click on [INAUDIBLE] constraint, fixed constraint, and then we select those two faces. So this is the fixed. And then we apply a load to the other two faces below. So we select those two faces. Then we go into Vectors.

You see? So in the vector, we want a force of 1,600 newton that goes in the positive y direction. So we have selected those two faces. We go in the Vector Visibility mode. And then for the y, we put a magnitude of 1,600 newton. OK, so this is one load case. But we need to create multiple load cases that basically simulate the different cases during the operation.

So I need to create new load cases. In this case, I select the first load case, and I clone it. Then I activate it. I don't change the constraint. The constraints remain the same. I just added the load. And in this case, I want a force that goes in the opposite direction. So I just put a minus in front of the value. And I have the second load case.

Then I select the first load case again and I clone it. I activate it. Now, I'm going to change the constraints. So the constraint is no more applied to those two faces, so I click. I unselect the two faces. But I select now this face. So this is my constraint.

And for the loads, in this case, we are going to have a much bigger one, so something like 11,000, something like that. OK, now I clone the third case. I activate the new one. And as I've done before, I don't touch the constraint. I just change the direction of the load.

OK, and then finally, I add one last load case. So I create a new load case. And then I apply. I fix those two faces. And then I apply one load to those two faces-- in this case, minus 1,600, minus y direction. OK, so I have now all the load cases. Now I should specify the objectives of my study.

So here we have two options. We can decide to minimize the mass and we need to specify a safety factor. Or we can maximize the stiffness. In this case, we still have to define a safety factor. But we should also specify a mass target. In this case, we are going to minimize the mass with, let's say, safety factor of 4.

Then we have a couple of glimpses in the future. So we have two options for the model frequencies and for controlling the maximum displacement, but we are not going to use it now. And then very important, we need to specify what manufacturing type we want to use. Because, as Matt said, the outcome that we are going to get are manufacturing aware. So the shape that we are going to get depends on how we want to produce our part.

So in this case, we have an unrestricted. So unrestricted is no specific manufacturing constraint. Then we have an additive, where we should specify a minimum thickness, the overhang angle, so the maximum angle that we can have without using the support. Then we have, in this case, a three-axis middling. For instance, due to the orientation of the part, I can have the two z direction.

I can also change the value for the tool. I can have an option for five-axis, for instance. I can also have an option for a 2.5 axis, which we are not going to use this for this case. We have also option for two-axis, but also we are not going to use this in this case. And then we have die casting. So in this case, also consider the orientation, we can specify the z direction. Also in this case, we can change the parameters.

And then we need to select the material that we want to test with our study. And we can select up to seven materials in the same study. So for instance, if I change this to Fusion 360 Material Library, I can select, as I said, up to six materials. OK, I'm not going to do that now for the sake of time, but you can select up to six materials.

And then you are good to go. Those warnings are related-- do you want to explain why we get this warning [INAUDIBLE]?

MATT LEMAY: Yeah, so what we talked about at the beginning, with generative and then the costing analysis, so there's certain materials that don't make sense to mapping cost. So you can imagine, if you put stone and casting, the costing analysis has no idea what that would actually do. So we'll warn you here and say that that's not something that we would provide the costing for.

ALESSANDRO GASSO: Now, before generating the outcome, it's always good to generate a preview. So the preview gives you a very rough preview of what we are going to get. Very, very rough, but good enough, for instance, for checking if we have forgotten an obstacle. For instance, so we have material where we can not have material, so it's always good to start the preview. And then you can have an idea.

If you are happy with the preview, you can start the generation, if I can manage to stop the preview. OK, you click on Generate. In general, generating the outcomes costs 25 cloud credits. That is about $25. But until the 31st of December at midnight, this is for free. And I can start generating my outcome.

Now, for a project like that, this will take about 45 minutes for generating the outcome. Of course, we don't have the time for doing that. But if you go back in the Data panel, and then you go back under the domain-- so something also to mention, so we have sent the calculation to the cloud. Now at this point, I can close everything. I can close the machine. I can go home. The calculation will just run on the cloud.

If you go back to the main project-- fantastic. OK, now we can go. OK, if you go back to the main project, so under AU2019 GD for Inventor, there is a folder called Outcomes. So under this folder, there is a file, GP Part, something like that, where I have already generated the outcomes that are mainly the same outcomes that we were going to see if we had the time to wait for the calculation.

MATT LEMAY: So if you were lost at all throughout that workflow, now is the time you can catch up. So if you just go to that file that Ale's talking about, that has the setup generated.

ALESSANDRO GASSO: Yeah, under the main project, there is a folder called Outcomes. Under this folder, you open this file, GD Part. This is basically exactly the same file. But after a few seconds, you will see the Explore icon that will become active.

And then, if you click on Explore, you can see how you can basically doing the trade-off once you get your outcomes. So for instance, you can start filtering. So for instance, we said that we want a safety factor of 4, so we can just have a look to the outcome that have this safety factor. You have a different way for displaying the outcome.

This is the one that I like most with the plot. So for instance, if I want to narrow down my filtering to something that has a low max displacement and a low mass, I can do I can do this. So I can start doing a window select and just focusing on a few components. Then I can open one of these components. Here you can see also the way generative works, basically starting from the big volume generative start, melting down the material where I don't have the stress.

So you can play a little bit with that. You can also compare different outcomes. But if you are happy with one of those outcomes, for instance, you can open it, you can go here, and you can export. You can export the mesh, but you can export-- and I recommend-- a solid. So you can export the solid that you like.

And I will show you when you export a part. So for instance, if I export this part-- so in general, the export costs 100 cloud credits, but also in this case, it's for free. So this is an unrestricted outcome. But you can also export a more traditional outcome for casting, for three-axis middling.

And basically, when you open the outcome-- so what you get in the timeline is this. Basically, if you remember, the preserve geometry that we have created in Inventor, those are the obstacles that we have created in Inventor. And then in this case, this is a restricted outcome. You have an organic shape that can be edited very easily with the display line functionalities in Fusion 360 that are very similar to the freeform in Inventor.

And then, if you make some modifications and you want to validate your modifications-- so for instance, you had a safety factor of 4, you have done some modifications, you want to be sure that your modification didn't screw up, still in Fusion-- of course, you can open this file in Inventor and do your simulation in Inventor. But if you want to stay in Fusion 360, you move just to the simulation environment.

And you get this message that ask you, if you want to inherit the load and the constraints that you have used for setting up your generative design style. And if you say yes, basically, you get all the load and the constraint, and you've just written it to run the simulation, so you are good to go. You just click here and you say, solve.

MATT LEMAY: So is everyone still in the Explore environment looking through the objects? So a pretty good amount. So look through those and look at all the different manufacturing types that we talked about and find one that you'd like to send out. So it could either be the one that Ale sent out, which was very organic and probably extremely costly. But you can also look at some of the casting ones, which might be a little bit easier to take out and actually manufacture.

The Explore environment is where we actually start making those trade-offs that we talked about the entire time. So we set up the generative solve, all those materials, all those manufacturing types. So for this project, there's not really a right answer to it. Just find the outcome that you're the most excited about and then create a new file from that. Yes.

AUDIENCE: [INAUDIBLE]

ALESSANDRO GASSO: OK, by the way, you can export. But in general, for getting the solid, it takes 10 minutes. So if you want, we can end the story, going back to Inventor, and placing and positioning the model created with generative design in the Inventor assembly, and position it. So for instance, if you don't want to wait for the generation of the model that probably you are exporting, you can go back in Inventor in the main assembly. And then you could place.

And then again, instead of selecting a component from the project, you go to Fusion 360, and then Ale Sub. And then you should see just this project. And then in this case, inside your folder, there is an outcome for casting. So you can use that if you like. It's more traditional.

Otherwise, if you want to use the outcome that I was showing before, you go under the Outcomes folder. And the file is called Unrestricted Outcome. And this is 100% a Fusion 360 file. Now, there's something to pay attention. So I'm going to insert and use the native Fusion 360 file in Inventor and position it. You cannot do exactly what I'm going to do because for doing that, basically, we leverage the capabilities of Desktop Connector.

But you are using a virtual machine. And unfortunately, Desktop Connector has a problem on virtual machine. But a real machine, it works as I'm going to show you. So I select, in my case, the Unrestricted Outcome from my Fusion project. I open it. And now I show you what you have to do differently if you want to do the same.

So I'm going to use these as a reference model. So I'm not going to convert anything. I'm just using the Fusion file. If you do that on your machine, you will get an error. So if you want to follow my step, unfortunately, you should convert it. But this is just because you are using virtual machine. But in my case, I use the native Fusion 360 file that remains also associative. So if I change something in Fusion, I'll get the update in Inventor. I insert it. So it's downloading from the cloud.

And then using a couple of constraints, I would put this in the position that I like, something really easy. And basically, this is the end of the story. I can also move this if I want. So again, starting from Inventor, I have created a few simple entities, very easy to create, of course not that easy if you need to follow me, as we have done today. So a few entities, few CAD entities created in Inventor, and then generative design based on the requirement that we have communicated to the solver has generated, in this case, an organic body.

But for instance, you can also have, let's say, a more traditional outcome, like this one, for instance. So CAD job in Inventor, then generative design, create a product that is better, it's light, it's stronger, because the material is just where it needs to be. And then you do your trade-off. And then you go back to Inventor, inserting the generated part.

So this was a very organic part. But I can also use a more traditional part, like the part for forecasting that I'm inserting. And with that, yeah, that's the end of the story. We start within Inventor, and we ended back to Inventor.

MATT LEMAY: OK, so we have about 10 minutes left just to kind of review everything we did, I think really focus on the workflow. So setting up generative design, again, as Ale mentioned, it's really only a couple of things we need to think about. It's the preserve and obstacle geometries, the loading, the manufacturing types. Then we can solve from there.

So how you actually create the geometry, like we did for the preserves and obstacles, is completely up to you. If you'd like to do that within Inventor and then use Fusion team to send that to Fusion, that's OK. Or you can do that all with Fusion, or other CAD packages, which we won't name. Are there any questions on that workflow? Does everything make sense on how we set that up? Yes.

AUDIENCE: When you use the previewer for Fusion 360, is there something specifically you're looking for? Because it doesn't seem like it takes into account the manufacturing of the [INAUDIBLE].

MATT LEMAY: Yeah, that's a good point. So the previewer is just meant to give you a very early, coarse approximation of what generative is going to do. So when we run preview, really all we're looking for is that geometry starts, and then it's probably generating down. So in that case, we're really only looking for, do we have obstacles in the wrong place, are we missing preserves completely? But if it shows something on the screen that starts to generate, then that's probably enough in that case.

ALESSANDRO GASSO: The story is that, the first casting that we were using generative, it didn't mind about the [INAUDIBLE] cloud credits for exporting because they were seeing what they were exporting. But sometimes, they were starting to study, 25 cloud credits, oh, I forgot an obstacle, I forgot this, I forgot that. So with the preview, it's very rough. It's a rough preview of an unrestricted outcome, but you can see if you have missed something really important so you can go back and fix.

MATT LEMAY: Yes.

AUDIENCE: [INAUDIBLE]

MATT LEMAY: OK, yeah, so the preserves itself will always be a part of the generative outcome. If you didn't need, let's say, the flat faces on the side, you could put obstacles on those sides. And then the preview wouldn't have it, and then the generated outcomes wouldn't either.

Well, I think that's really what the next six weeks are really about, when we offer generative for free. It's exactly to try those kind of things out. So if you set it up once, you noticed you might not get the clean edges on the side. But if you added the obstacles, then it would avoid that. Yes.

AUDIENCE: Once you get your generative [INAUDIBLE]

MATT LEMAY: So I'd typically say within Fusion, because there's some added capability there. Within Fusion, when you have the generated component and you also have the T-spline component of it, you can modify T-spline elements, like struts and holes and things like that, automatically. And then also within Fusion, after you've made those adjustments, it brings in all those load cases to the simulation environment so you can check those changes that you made really quickly.

AUDIENCE: [INAUDIBLE]

MATT LEMAY: That's correct. But we did announce yesterday, if anyone in here uses ANSYS Mechanical, you can setup the generative solve the same way, export the generative outcome. And then you can bring the simulation setup to the ANSYS Mechanical solution as well.

AUDIENCE: [INAUDIBLE]

MATT LEMAY: Yes. To download is 100 cloud credits. Once again, the next six weeks, it's nothing, so it's a really, really good opportunity.

ALESSANDRO GASSO: Any other questions?

MATT LEMAY: OK, thank you, everyone, so much for joining us today. Sorry for some of the account issues on some of the computers. If you have any questions on how to get started using generative, just let us know. We're happy to help. And I hope we were able to show you the workflow from Inventor to Fusion today. Thank you.

ALESSANDRO GASSO: Thank you.

[APPLAUSE]

______
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We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

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Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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