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A Look Behind the Curtain of the New Fusion 360 Injection Molding

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Description

During this class, you’ll get a first impression of the new Fusion 360 Injection Moldflow software. This new application in Fusion 360 software is developed from the ground up, and with a few new concepts and ideas.

Key Learnings

  • Learn about the new injection molding simulation capabilities in Fusion 360
  • Discover how various cloud services form the core of the new Fusion 360 Injection Molding functionality
  • Find out what is similar and what is different between Fusion 360 Injection Molding versus Moldflow Adviser and Moldflow Insight
  • Learn about who is a good candidate user for this new technology

Speakers

  • Avatar for Hanno Van Raalte
    Hanno Van Raalte
    I have been involved in injection molding simulation since 1997 and am currently product manager for Autodesk Injection Molding simulation solutions.
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Transcript

HANNO VAN RAALT: Hello. My name is Hanno van Raalt and I'm here, together, with Tim VanAst. So we're going to talk to you today about a new technology we have built in Fusion that is involving Injection Molding Simulation. Give you a bit of a peek behind the curtain of what we've been up to in the last couple of years. And who we are trying to address and the problems we are trying to solve and what the problems are we're not trying to solve.

So, again, my name is Hanno van Raalt. I'm one of the product managers for the injection molding technology in Autodesk. I've been around the injection molding industry and the injection molding simulation industry for over 20 years now. I started in the Netherlands as an application engineer, then became part of QA, the QA department for me also in the early 2000s. The new product manager since 2007.

And as a product manager my responsibility is to, basically, just talk to customers, understand what their needs are. And help direct the development team in terms of what is this product we need to build and what are the functionalities that we have to build in. And how it should work. So, basically giving direction in prioritization to the development team. So Tim, over to you.

TIM VANAST: Thanks Hanno. As you said, my name is Tim VanAst. My background is in plastics. My career started and, I hope at some point will end, in plastics. I was a customer of Autodesk and Moldflow software for more than 20 years before joining Autodesk. Here I do training and consulting, specifically to Moldflow, although I also dabble a bit with the Fusion Generative Design.

So today we're going to look at injection molding simulation in Fusion. We're going to do a little bit of just overview of injection molding for those who aren't aware of what it is or why we use that. We're going to talk a bit about the persona and the focus, basically who is this for, who is this intended for. And we're going to look at the software. We get to actually see what is, at this point now, a preview available within Fusion software.

So if we just take a moment to kind of step back and say, well what is injection molding. It is the predominant process to make plastic parts in the industry today. And these parts could be anything from garbage cans you see here, to parts in your car, to things that go in your phone, to parts that get sent out into space. It is truly across all industries and there's really so many uses for plastics available out there today.

Just to be clear, injection molding is what we're focused on here. So it's not blow molding, it's not extrusion, it's not carbon fiber composite tapes that are molded. We just want to kind of keep that focus. There are other methods of producing plastic parts, but injection molding is what we are focusing on here.

So I just want to just start with the basics. We've got an injection molding machine here. And what we're going to do, we're going to start with the little plastic pellets. We're going to put them into the machine where they are going to be melted. Once they are melted and completely liquid-- in fact, a side note on that. When we melt plastic pellets, they actually expand slightly by volume.

So once they are melted, we're going to then inject them into the mold. And then as the part solidifies, and I mentioned that they expand slightly while melting, they shrink slightly as you freeze them. But once they are in a frozen state-- or a solid state, I should say-- the part is then ejected and we basically repeat that for as many parts as you need.

I want to just talk through this one more time as we animate this. Again, as we're injecting the molten plastic into the tool in there it's going to solidify once it's cool enough. At that point, we're going to pack, which is sort of helping to deal with that shrinkage. The part ejects and then we repeat.

Again, just one more time here. Again, we're injecting the molten plastic into the tool. It cools down. At some point then, we're going to go to the compensation phase to pack a little more material in. Once it's full it will cool down till it's completely frozen. The part is ejected and we repeat this process.

With all manufacturing processes there are advantages to them. And so, with injection molding there's a lot of energy lost, that goes into producing the mold itself. But once that mold is created, we're able to produce parts very quickly. I would say the typical cycle time for injection molding parts is about a minute a part. And those parts come out very repeatedly, just shot after shot after shot.

And that can be a simple part, that can be highly complex parts. And that's just one of the beauties of injection molding. In the end it produces very low cost for all of the complexity and quality that you can get out.

The other thing that's really great about the plastics industry is the great number of different material properties that are available. And so when we produce parts, we're basically really honing in on what are the exact properties we need out of the specific material we're going to choose. And so that way we can sort of almost like custom make the material properties for each and every part that we're going to produce.

While there are definitely advantages with all processes, there are some problems too. These are some of the things we want to look at is, what happens if we cannot completely fill the mold? Are there visual defects? Are there any problems dimensionally? And of course, structurally, will the part perform?

So we want to look at that more and this is what we want to see as we're looking at simulating this process. We want to know, will they be a problem to fill that molten material into the mold to produce a full part? If not, we call it a short shot, because it's not complete. And it can be caused by a number of things. Is the material, or is the part wall thickness just too thin? Is the flow length too long from where we inject the plastic to the end of the part? Is the material, really stiff material, hard to push? There are other factors. But these are a few of the main ones that we end up dealing with.

Surface defects or visual effects. Here are a couple mugs from my trip a few years back with the family to Harry Potter World. We had a great time and, of course, we ordered some butter beer. And of course, being in the plastics industry, when we're done I'm staring at these mugs and I'm like, wow, look at the one on the left.

I mean, the surface of this is just not very consistent. It's just kind of-- it's deep here, it's shallow here. It doesn't look overly good. And if we look at the handout over here, we see sort of these pit marks or what we would call a sink mark. And this ultimately is showing a not very good quality produced part.

Now, if we look at the part on the right, on the other hand, we see very uniform in that surface display or the surface finish there. It looks so much cleaner and a higher quality part. It is interesting in this handle there is a small section that's not a sink mark. It's actually what we would call a void, where instead of the material sinking from the outside, it basically sort of created a sink on the inside or a void on the inside.

And these are for a Butterbeer mug, who cares right, I'm enjoying the Butterbeer, I'm not worried about the looks of this. But on most parts that consumers will see, feel, touch. People, if they have a poor surface appearance, they're going to see that and assume your part is poor quality or potentially not even purchase that part.

And then, finally, dimensional problems. I mentioned that as the molten plastic cools, it shrinks just a little bit. And if we do things that are not very uniform throughout our part, we end up with non-uniform shrinkage. Which basically creates what we call warpage, where our parts are not really the shape that we intended them to be. Some parts, that might not be a big deal. But most parts, there's an effect because with plastic parts, we design the features in, we design the function that we need.

This example here would be a 5 gallon paint lid. And if it doesn't really fit on top very well, if you accidentally knock the pail over, well that's a bad day for your carpet. Because the paint is going to leak out, because the lid wasn't in the shape we intended and which allowed a leak.

The last thing I'll mention too, is, some of those issues I've already talked about, as well as some other things, actually have the potential to cause structural performance problems. Where the part just doesn't perform as it's intended to. Sometimes that's from things like a weld line, where the flow front, as it flows, comes together. Sometimes, those end up being very weak. Sometimes, it has to do with the material properties or the fiberglass that's in the material and the orientation, so sort of the direction that it flowed as it filled. And these end up, potentially, having structural problems for your part that would cause them to fail prematurely.

And this is something that is for sure on our radar. We're not exploring that within Fusion injection molding at the moment. But that is definitely something we are looking to in the future.

HANNO VAN RAALT: I think, actually, another thing we have to talk about is the industry itself. When you go from, let's say, a part design to something involving an injection molding machine, there's many different people involved in many different companies involved with different skill sets.

So a designer maybe designs the exterior of a part, but then hands it over to a supplier, who maybe designed the ribbing behind it. And then it goes to a tool maker, who maybe designs the mold. And maybe that goes to a person that actually knows the mold itself. And then it goes to another company, who is going to do the actual molding.

This is a very disconnected workflow and very disconnected domain expertises if you will. So, they all are responsible for delivering a good quality final product, but the molder may not be able to actually create good quality parts. Not because he is a bad molder, but maybe because there were design problems in the beginning that were overlooked. And because of disconnects in people working and not always working at the same data, or not reusing information that's been created before, there's a lot of inefficiency in the process of getting from a design to an actual plastic product.

To give you an example. For instance, one of the things we see quite often is that a design gets created, and maybe it's a design version one or five, being sent over to somebody who runs an injection molding simulation on it. The injection molding simulations guy thinks, great, this will work, this is great. Gives a thumbs up to the designer, but the designer may have moved on to design version 10 by this time. And that can maybe get sent to a mold designer, mold gets created, and that gets basically molded. But, that part now will may be completely different from the initial design that was evaluated by the injection molding simulation expert.

And we see this kind of disconnects quite often in the industry. And if everybody would be working off the same data and be aware of what's been done before and be able to consume and contribute to that, that'd be really, really, a big benefit for the industry itself.

Next slide, please.

One of the things I'm actually personally really interested in building technology on top of Fusion is that Fusion is basically has a mission to connect design worlds to the manufacturing world, the make world if you will. And one of the big, big advantages of this platform is that once the design is created, it can be sent over to somebody that does a simulation on it. The simulation can be run and the design can actually continue to work and be updated. And once that update actually gets submitted, you don't actually have to start the whole simulation from the ground up. You can actually start with just rerunning the analysis with the updated model. And so there's a lot more efficiency in this place.

And down the line we hope to also be able to take information that the Moldflow or injection molding simulation expert, created in terms of, let's say, process, that can be transferred to somebody running a molding process. And take the molding process that injection molding simulation expert run on as a starting point for setting up a mold. Data gets reused and not lost or has to be recreated. And the people along the entire chain that can be contributing to this data and also consuming data to it. I think there's a lot of efficiency that can come with working on this type of platform.

Next slide, please.

TIM VANAST: So, Hanno, I have a question for you. I've been a Moldflow user for years and years. Is injection molding simulation in Fusion intended for me? Or who is this really intended for?

HANNO VAN RAALT: That's a really good question there, Tim. So, you in our view of the world, you are a simulation expert. You have spent your entire professional life in injection molding. Moldflow is a tool you use on a day to day basis. This is the tool that you've grown up with. And for the foreseeable future, that actually is still going to be the right tool.

With the technology we put into injection and in Fusion, we're actually trying to address a different persona that's much more of a generalist, let's say a mechanical engineer, that's probably spent more time doing structural engineer work. Somebody has to do a lot of communication with the designer, maybe spend some time negotiating with a tool maker, doesn't project management, but is not a plastics or injection molding expert by any stretch. Has no ambition to be that. But, he has to make some informed decision on it. Is this design even feasible for manufacturing in injection molding? And building some confidence and having a way to start a good discussion with a tool maker on exploring options in, let's say, where to put an injection location.

So this is a different persona. To answer your question directly, Tim, you as a Moldflow expert, will not have all the tools that you, today, in the technology we have today, in Fusion. We intend to build towards that, but not today.

Like you said, we have built our-- as a Moldflow product community, we've always addressed our injection molding simulation analyst, specialist. For the foreseeable future, that actually is still going to be the right tool for this. What we're trying to do with the fuel injection molding technology, we're trying to address a different persona that can work in parallel or in collaboration with the injection experts.

Imagine that-- I think when we talk to our users, we typically see quite a bit of time being spent on very trivial issues like, where is the momentum going to be. And things that are really not that challenging, that shouldn't take the attention, maybe, of the expert. An expert who actually probably should be spending more time on things like warpage that are, really, just, much more meatier problems to solve.

And if, let's say, an engineer can take care of a lot of the trivial work up front and actually get to a point where there's consent that this can be injection molded, then it can be handed over to an injection molding specialist or mold designer who can figure out how to manufacture this thing efficiently.

If you have consent that the design is OK to be manufactured, then the specialist can actually look at a different problem. How do we actually create a efficiently running mold that is going to do the job well?

Next slide.

To take a step back again. When we talk about an engineer persona, a generalist engineer, like I said, we have a bit of a profile for this person. And this person actually will get involved in a lot of sort of technical or semi technical discussions. And will get involved in material choice and maybe evaluate some great locations. But nothing super deep into the weeds of injection molding.

He will look at things like structural integrity of the parts. So if this thing is molded, will it actually be able to perform the job that it's intended to do. Because he works very closely with the designers, we expect this person to also have to answer some questions around position of alpines and defects like sink marks on the parts. Whether or not they exist and what to do about them.

And like I said, we expect this person to be involved in sort of sitting between the designer, as well as the tool maker, and have a lot of interaction with this side of the industry as well.

So Tim, maybe this is a good point to go into the software and just see what it does today.

TIM VANAST: Sounds good, Hanno. Excellent. So, let's see. I read this filing indirectly just a minute ago here. So let's take a look. If I want to look at the new injection molding in Fusion. We're going to come over here to design. And we're going to change over to our simulation workspace here.

Here we do have again, it shows preview at the very bottom there, for our plastic injection molding simulation.

HANNO VAN RAALT: It's going to read in.

TIM VANAST: Read in. One of the first things I noticed when this comes up is it says target body. Which sort of makes sense, because I don't want to simulate this entire thing. Not all of this is going to be injection molded. So I am just going to select one of the parts here and click OK. And that's pretty cool, because it actually got rid of everything else for me, to just show that I'm focused on just this part.

HANNO VAN RAALT: So Tim it is actually worth pointing out that the Technology Preview, for now, is a single part only analysis. So, yes you can simulate multiple components in the entire assembly, but they would be separate studies, if you will.

TIM VANAST: Excellent. So I see my part here. And I see my setup summary. Target body, I see, is on top and I already selected that. Material. Right from here, it looks like I can select a material. And so this database, when I look at this, I see a whole lot of generic materials. And so, if I know it's going to be an ABS I could select this. But are there other materials just then generic in there?

HANNO VAN RAALT: Yeah. If you look at the top, all results, there's more than 11,000 materials in this database. This is effectively full database runs behind Moldflow that's characterized for injection molding simulation. So not only the mechanical properties for the particular materials, but also the radiological, the viscosity behavior, understanding how these plastics solidify, and all that stuff that you need for injection molding simulation.

And it's a big database with many different material suppliers. Many different grades, different families. And there's different ways to actually search this, the database. To either-- if you were to say ABS on the top part in a search bar. It's going to give you a couple of suggestions, but you might be searching for. You want to search for things with ABS in the name. ABS it is a family trade name, or as a family itself.

If you know, what you do now, basically creating an entire list of ABS materials. The different ways to search for the database, but it's a topic on its own.

TIM VANAST: Excellent. OK, so we'll pick a generic ABS for now. Next, is the injection locations. So again, if you're not familiar with injection molding, the injection location is where we entering the molten material into this part in order to fill this out. It looks like there is already one here, even though I have not set one yet.

If I rotate the part around, I see this cone back here that's sort of just highlighting that this is somewhere to start. So it's interesting, because I don't know that, again after lots of years in the industry, I would exactly put the gate there. But, I also sort of like that it just put one there right away. Just to give me a feel, right, even if I don't know where I'm going to put the gate. At least I could start with that to see, overall, boy is my part going to fill. And if I do know a little bit better I, of course, could take this and I could move this somewhere else on the part. Or I could add a second or a third injection location if I so desire.

But I do like it just starts out with something because I could again if I don't know better. Well, let's just see what happens from here.

Next up here I see things that I would consider to be process settings. Injection time, melt temp, mold temp. Is this something that I would often change or are these default settings pretty good here?

HANNO VAN RAALT: These are default settings for the material that you're using. So if you were to say, pick a different material family, for instance, change your generic ABS to a polystyrene, we'd be changing the different-- melt temperature and the mold surface temperature to a different value, because that's sort of the recommendations for this particular material at that point.

The automatic injection time is another thing. We don't expect most users, even experienced Moldflow users, to have a really great sense for what the best injection time is going to be. So we have some algorithm running in the back to take care of that for you.

We're trying to make the setup as intuitive and easy as possible for you to get to a simulation. If you look at the top bar, toolbar, next to the Solve button there, there's a checkbox, a pre-check. And you really see that we have even, since the beginning, we basically put everything in place for you to actually start running an analysis immediately. So we picked a default material for you, which may not be the right material that you're using. In many cases, we don't even know exactly what material you're going to use, or where the injection point is going to be. But, we trying to get you to a point where you can already discover some limitations with the design, that might be occurring in the design, that do not require things to be 100% accurate at this point.

Like you said, when you do know better, you have a better injection location, or you know what materials you're going to be using, you can actually make those changes pretty easily.

[INTERPOSING VOICES]

TIM VANAST: I say, the next thing I see here is it says Aesthetic Faces, and it says zero. So in this case, I do know that there is going to be some surface area here that people will see when they're using this. I see I can select that. What does that really get for me? Because I'm not changing anything here, I'm just selecting those.

HANNO VAN RAALT: So that's a really good question. This is actually one of the things we're trying to do with injection molding in Fusion. We're trying to create more-- allow you to set more information into the system that we can help. That is going to be helpful for us to direct you in the right direction. So if we know that there are certain aesthetic faces on this particular part, where visual appearance is important for you. There are two things we actually do with this at the moment.

One, is in the injection point, if you specify injection point location on an area that you designate as an aesthetic defect, we're going to highlight that for you. If you move the injection point now to something on the aesthetic face and apply it. Yep. OK.

So now, the check box in the top, in the pre-check, now is giving you a warning. Because now, you put a injection point on an aesthetic face. And it always leaves a visual mark. So now you have a choice, to either unselect a particular face-- OK, I'm going to allow the injection point on that particular face, because that particular area may not be super important, I'm going to put a sticker on this-- or, you basically move the injection location to an area that actually is going to be a less visual appearance. There, for instance. Cool.

TIM VANAST: Very good. So at this point, I can hit Solve right?

HANNO VAN RAALT: Correct.

TIM VANAST: In fact, I could have hit Solve right away, but here I've modified a few things, and we could hit solve. To save time during this presentation, I have already solved this. So let's hop over to one that has some results.

OK, so now that we've jumped into the model that's got the results. I just clicked on results. And here we come up-- to start with, it just shows up with some results. And it's got a few different messages here on the left saying, with this study settings, the part will not fill completely, result in a short shot. And use the guidance below to address the problem. So

Here's the thing. Some areas won't fill at all. So, if we turn this around. Oh yeah, here we see this. And if I look carefully here, I see this rib is actually awfully thin. Thinner than all the others. So it's saying, that won't even fill. Some of this is unlikely to fill. A portion is no problem, and a big chunk is, we can fill that. But I do like here, it's saying next step short shots, it's got some recommendations. Things we can look at.

And here. Oh, it's even got the links. Things we could do to reduce the pressure required. I could edit an injection location. I could add a new one. And if I click this, it'll take me directly to there.

It doesn't stop just there though. It kind of says, we could change the thickness of my part. That's definitely, probably the largest factor as far as parts being able to fill in the amount of pressure required to fill them is the wall thickness. Or we could change it to a material that flows easier. So I like that it's got all of these descriptions of, hey, here's things that we think are going to be a problem, here are possible solutions that you can consider.

HANNO VAN RAALT: And these are actually direct recommendations that an injection molding expert actually would be going for first. If they see a problem, like a short shot or a problems fitting a part. What do I do? Let's move the injection location to a different place. Maybe move-- make the design changes to the part. And all those recommendations actually are part of that, the feedback we're providing to you.

So not only show you the problems that are occurring, but also give you suggestions what to do about it. Nicely tied together.

And actually one of the things that's worth pointing out. In the Fusion injecting molding we have a guided view area that answers three basic questions for the designer. And we talked about these three things earlier in the presentation. Where, will the mold part fill? Will it have filling issues, yes or no? Will it have visual defects? Will it have things that are appearing on the part that are of a cosmetic concern? As well as, will my part have massive warpage or have some deformation issues. And we'll go through this right now, over here. Maybe start with the visual defects. Yes.

TIM VANAST: So here I see a message saying four faces will have sync--

[AUDIO OUT]

Oh, and it even calls out the 19 of these faces will be-- or, 19 of the weld lines will be on aesthetic faces. Again, now I see why we were calling those out earlier, just sort of show that. In fact, I've noticed this too, if I just put my mouse over that, I can kind of see which one's, which are those surfaces that will have some visual defect. And with that, which ones aren't. Which ones are green from a visual standpoint, that are the aesthetic faces. Those are good to go. So, if I need to focus somewhere on what or how to fix things, this is going to give me a great guide towards hey, you know, you better explore looking at this surface and what's happening there.

So, very cool. And then--

HANNO VAN RAALT: On the toolbar, on the right hand side, you actually have a tolerance that you can manipulate. So if you are a company you have, maybe, a maximum allowable depth for a sink mark you can actually-- we made a assumption of what it actually is. But, if you have your own guidelines in your company for what's a maximum allowable sink mark, you can actually make the threshold value for what's allowable or not actually visible.

TIM VANAST: I like that. So again, we have the next steps here. Things we can do to reduce it. Different, just, suggestions on hey, if this is going to be an actual problem for you, these are the things that you should look at to try to fix that problem.

If we go to the Warpage tab here, will my part warp. Again, this is sort of just highlighting based on the default value here of the tolerance of what is excessive warp. But you just talked about this. If we need, we can shift this tolerance. Maybe the tolerance is no more than a millimeter of movement. Well, now we can see how much of the part's not going to fall within that.

And conversely, what if it's one and one half. What does that mean? If it's just this, what does that mean to me? I can then make a good decision. Do I believe that might be OK if it's outside of tolerance or there's no way. And again, we've got sort of these guides here to kind of say, hey, in order to reduce this, you might consider looking at these specific things to change this.

HANNO VAN RAALT: There's actually two things I want to mention in this particular part. First, if you go to the gear-- the gear next to the plot properties. Yes. There's a magnification slider. So, we can magnify the amount of deformation we were applying. You have a much better sense for how it actually deform. So there's going to be a good amount of actual sort of shrinkage.

But also, if you look at the red in the corner, in the left. Actually, there's a lot of out of plane deformation. And actually, that could be a bit of a problem. One of the things you can do now, if you go back to maximum deformation, zero. We have now a property for flatness.

Yep, activate that. If you turn the part around. So this is a part where you have two mating surfaces. If you can select a face. Now we can see how much out of plane deformation there is. And that's going to be very important for you. If you have two mating face-- mating parts have to fit together, this could be a tolerance that you have to hit for this to be a functional part. And this thing has to be assembled.

We're trying to give you some ideas, like how much autoplane warpage there's going to be, and whether or not that's going to be acceptable for you.

So it really localized interpretation of data. So one of the-- the warpage is a very important part of the injection molding simulation industry itself. But, get it making sense for all the data actually, in some cases, not that trivial. We're trying to recontextualize what the problem is we're trying to solve and see if we can provide different ways to look at the same data and have even non-experts extract value out of this.

And this is just beginning. There are other things we can think about like, around circularity of holes, position of bosses as a sort of requirements up front. Like I said, this is the first step. There's many things we can do in this particular area based on this concept over here.

TIM VANAST: So, I see these are the guided results. We also have just a Results tab here. And here, we get this overview, or summary log. And this is-- I showed this earlier. We can animate this. And I really love how it sort of calls out this is the filling phase. Then we get the pack and cooling phase. And then we get to the final part shape. And even within this, we've got these sort of messages to say, hey, you might have problems here. These are something to look out for. This is going to exceed, whatever.

And so, even just this is great. I love the animation, that it sort of follows the part filling here in the machine. I think this is extremely useful. Not only for your own understanding, but can be very useful even to explain to somebody else what's happening when you get into discussions about your part.

Besides that, I do see things, some of the standard ones that look more familiar to me. Filling animations, where I can see, just, what is the pattern? How is this filling? Do I like the way that fills? Based on this, I might simply move one of my gate locations this way or the other way.

Feel confident. Again, we get back to what was in the guided results here. Injection pressure. Again, I always want to make sure that it's not going to exceed the machine maximum. And a whole bunch of other results here. Let's see. Oh yeah, we get back here to deflection.

So, the previous one we looked at was the warp tolerance, which again, I can kind of change that to see-- just highlight the important parts. But here I see the full view of this, with all of the colors. And one of the things that's a really nice feature, as well, is the Inspect button. I can of course say, well you know, what happens here? And I can click other areas too if I wish.

And then those will actually move as I move my part around as well. If I have specific questions on an area, I can get sort of an exact value right there.

HANNO VAN RAALT: I think another thing I was going to point out. In terms of the time to reach injection temperature. That, I think, is a very useful result. If you would rotate your part? Because I saw this earlier when we built them up.

On the bottom left, we do see an area, it's red. And actually, that's an area that is really, really thick. And one of the problems here we have is that, this thick area is going to take a long time to cool down. And that's going to dictate your, almost your, entire cycle time. So, as a designer you may not actually have been aware of it. But, this is actually an area to make your process more efficient, to reduce the cost of the part.

Making that area thinner will make it take a lot less time to cool down and to reduce your cycle time and reduce your cost. Those are the insights that, actually, you could provide a designer. Or as a designer, you can get an understanding what you can do to improve the efficiency of the model.

So these are pretty good guides I would say for to look at.

TIM VANAST: Yeah, I like that. I mean, here we're 23. Our peak value is 26. I mean, even the ones that are not quite, more in the mid-range. That's a 10 second difference between the higher other areas and the thick sections. If I can save 10 seconds off my cycle--

HANNO VAN RAALT: It's really thick.

TIM VANAST: That's money. Exactly. So, that's pretty big. Very cool. I love this. I love that it's a bit more guided. I love the way the results display in this. Just some really great tools here.

HANNO VAN RAALT: You will see some traditional things in this technology preview that are going to be recognizable for people who use Adviser and Insight in the past. Or maybe have consumed some reports created by other experts. But, we also have a way to run the software without actually you needing to be all that super familiar with the injection molding process, even simulation itself.

And you can get the insight that are helpful, as well as make modifications to it. Or address some of the things that before involving an expert, before you send it over to a tool maker for analysis or for making the part.

We're trying to reinvent some of the things we've been doing for a long time. We've built experience of what are sort of the barriers, where are people struggling over the years. And we've take a step back and see, what can we do to improve on that, rather than just make it a straightly implementation of what we've done for a long time. With that said, I think we are I think ready to take some answers, questions and answers. So, even if you want to talk to us outside of this, our email addresses below.

Thank you for your attention.

______
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Qualtrics
We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
Akamai mPulse
We use Akamai mPulse 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. Akamai mPulse Privacy Policy
Digital River
We use Digital River 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. Digital River Privacy Policy
Dynatrace
We use Dynatrace 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. Dynatrace Privacy Policy
Khoros
We use Khoros 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. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly 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. Launch Darkly Privacy Policy
New Relic
We use New Relic 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. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent 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. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia 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. Wistia Privacy Policy
Tealium
We use Tealium 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. Tealium Privacy Policy
Upsellit
We use Upsellit 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. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates 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. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory 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. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) 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. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats 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. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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Google Optimize
We use Google Optimize 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. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal 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 OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely 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. Optimizely Privacy Policy
Amplitude
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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Customize your advertising – permits us to offer targeted advertising to you

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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