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Autodesk Fusion 360 CAM: From Design to Multistage Machining Technical Documents

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说明

In this session, we'll look at a workflow that goes from a drawing to the output of technical documentation for high-volume production using multiple setups and machines. It starts with raw material and the use of parametric modeling and model states to break up the individual operations. From there we can use Inventor Tolerance Analysis to determine stackups and points of high risk during machining. The model is then translated to Autodesk Fusion 360 software for its machining capabilities. It quickly shows the machine library and tooling library capabilities. The Fusion 360 CAM validates cycle times and interference checks. Fusion 360 CAM data is then exported. With Inventor, the part is then made into technical drawings. Tooling and inspection documents are then populated with all the necessary data. Any part updates can be driven parametrically, validated, and updated on demand.

主要学习内容

  • Discover the high risk in time lost due to iterative changes for a long workflow.
  • Evaluate how it was identified as a high-risk workflow, with regards to design updates, process changes, and document control.
  • Learn about quantifying time savings in the iterations and necessary upfront work.
  • Discover value added by quick and agile iterative design.

讲师

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Transcript

JOE KAWKA: Hello. My name is Joe Kawka. I'm a digital engineer at Toyota Motor North America Production Engineering inside the Powertrain Division specifically. And my class today is Fusion 360 CAM from Design to Multi-stage Machining Technical Documentations. And here's the safe harbor statement.

And to start off, I kind of want to preface this lesson or this class that there is a lot of development still going on with this, but also a lot of progress that we have made. And it's something I feel very passionate about to share. So if you have any questions, feel free to reach out to me. But to start, there was a situation where we had a very substantial bottleneck of creating technical documentation that we would then hand over to the plant side, the people who actually making our parts.

And the documentation is probably one of our primary outputs. And so if we're spending mass amounts of time on documents that are very required and it's something that we definitely needed to kaizen and improve, and so my first approach was to look at the bottleneck and kind look at what's all the data that's going into. So we'll take a deeper dive into how I kind of came to this conclusion and where I went with it.

So overall, I went through a project cycle and kind of listed out all of the tasks that my group and I have during every project. And you'll see, there's many phases to the project. And with every phase, there's a design release. And with every design release, these documents, the technical documents, have a potential to update and to highlight the points. Like I said before, our documents, at one point, took us three-plus months to just make a few sets, which I feel is very unacceptable for such a fast-moving pace of the industry, something that we definitely needed to capitalize on and improve on internally.

And you can see the map that I've made. And I'll point out here, every phase of the project, there's data that's released and also per the legend, I have what's-- as a digital engineer, we have some scan data that we utilize. For instance, fixtures-- there's static data of the actual machines that's never going to change throughout the whole project or the whole lifetime. There's also dynamic data. While we're studying, we're going to make new layouts-- also simulate how the production is actually going to happen. Also validate-- so running simulations to validate our assumptions, making documentations, and also just other general support roles.

The most critical part is probably this red arrow, and I apologize it's a little bit small to see. And I keep repeating this because it is an essential part every time there is a design release, a new design or a modification design, we have to update our operation drawings. And that is a big time soak for us. And you can see the "key takeaway--" that same exact verbiage. And we need some time to do other studies within our project.

So the data flow for our technical drawings-- I dug a little deeper, and I was really trying to figure out what kind of CAM software, in addition to modeling-- we all know Inventor and Fusion 360, as far as product modeling, are two that are the best at that 3D space. And then what really drove us to go to Fusion 360 is the integration of models that we can bring into that Fusion 360 space, so we're able to view the machine itself, where that is the big no-good situation for Inventor, where we couldn't see the machine geometry within the state.

But Inventor still has its place with model states quite recently, and also iLogic being a little bit more intuitive to utilize. The Fusion 360 does have some connection API capabilities. And then, lastly, we use Vault as our primary data management system, whereas Fusion 360 is not fully supported in the Vault, it's possible to use it. But I think to get the best out of the functionality, an Inventor file is best.

As you can see in my diagram to the right here, our old way that really explains the reasoning to why it took so long is that we, one, had uncontrolled data. So it was all on a shared drive. Two, we were utilizing AutoCAD not to its fullest potential but to really make fine edits, which is very manual and tedious. And then that would output our technical drawings. So when there was a new release of data, we would update the numbers in our blocks, in our dimensions, and whatnot. But the visual was never really there. It's was very difficult and tedious, again, to update the 3D or the model view in AutoCAD.

And so we wanted to bring in 3D. The industry's going to 3D, obviously. And so first, like I said, we're going to use Inventor for 3D modeling. We have the Vault. We're going to store it in there. And then, so we have a raw material and also our CNC machine, our asset-- from there, we're able to bring both the products and the machine into Fusion 360 CAM as opposed to Inventor CAM-- we're unable to bring in that CNC machine. With the Fusion 360 CAM, we can evaluate, make sure all of our toolpaths are good, we're good to go, and all of the data that we've inputted into it is correct.

From there, we have different sets of technical documentation. And so I'll explain a little bit further in the following slides about how it can now be distributed. And so, again, the data flow for technical drawings continued this-- more written-out of the same process. But we're receiving design updates for different design releases, typically if not more working. In my previous experience with machine shops, it could be very much more with different variations especially, and then update the 3D model.

So we're looking-- for the driver of the manufacturing changes would come from a spreadsheet, while the raw material is driven from a linked-- linked to another 3D model. This is because we want to really specify what's going on in the manufacturing space while we're not so concerned with the raw material. We'll bring it into Fusion 360, and we'll connect it using the native connector between Inventor and CAM, and then we'll output the technical drawings, either through Inventor or Fusion 360 depending on the capabilities and the preference, really. And so how do we set these connections? How do we make the data flow?

And so driving through the data, this is really similar to the data flow that I've kind of expected, that I've set up to expect from the output of this project of mine. And so with starting out inputting all the data, it is a requirement, from my end, that we use a more universal input so that more people have access to weigh in or even edit or if they don't need to have that intricate CAD skillset, so you can share this out with a broader audience. So I chose Excel. Spreadsheets are very common-- most universally accepted, especially for inputting a lot of data. Or really, you can use other datasets per part.

And within this dataset, we're specifying everything about the process per operation. So in our case, because we're running multiple machines in a line, and every operation has its very specific job to do-- essentially, rough mill a surface, drill or predrill holes, tap holes for the next machine, and so on. And so this is how we're splitting up all of our inputs. Every machine-- we're specifying the machine. We're going to specify the dimensional tolerances, and we're going to go beyond that every intricate detail within-- in that case, we have that master input of all the data.

From there, we use the iLogic API within Inventor to pull the data from the spreadsheets. And the data then is able to really drive the parameters with Inventor. And I'll go into a little bit more detail later on on how exactly we're achieving this. But this really enables, again, the engineers that are not skilled in 3D modeling, or anybody else really that's not skilled in 3D modeling, to be able to make changes and see it reflect in the 3D, so parametrically-driven. And then we would move the model into Fusion 360 CAM.

From there, they're synced both ways. You're able to update the Inventor file from the Fusion 360 file. But most of the time, in our case, we're going to be uploading the Inventor file into Fusion 360, again, for its CAM capabilities. We'll make every setup of every operation and run simulations for every one of them to get a go/no-go evaluation, or if it's a cycle time evaluation for each set or what have you. So we start getting more data about our specific operations.

And again, really key point is enabling those people to change the parameters within CAM. Even though they have no idea how to work CAM, they can update numbers within an Excel sheet and run this program, and it will spit out what exactly they're-- the results that they're looking for.

And then, finally, generating the documents-- we have three standard documents that we output, operation drawings, tool layouts, and precision measurement lists, which is an inspection sheet essentially. And these three are pretty common with everybody, I feel. And this can be accomplished in both Inventor and in Fusion. But ideally, in my case, drawings are driven by the 3D model, the CAM sim, and the spreadsheet.

So the visual is updated constantly without having to manually go in, update it in the very tedious 2D world. We're able to output CAM data into our tooling layouts, so we know what exactly we're dealing with, how many cycles we can run, and also the spreadsheets to really fill in all the metadata that we are packing into our technical documentation.

And so the next steps-- I kind of alluded to before, there are still some items that are missing, but there is a lot of progress going on. So I'll start going into the missing details. So currently, Toyota and Autodesk have a EBA, which is an Enterprise Business Agreement. And with that, we are able to raise our hand and ask for help when we need.

And this is a case where I definitely need the help from the-- this is a copy flow of what we've seen before, so the input data, the driven 3D models, driven CAM, checks and simulations, and then the outputs themselves. I was able to, with every green arrow, make links to wherever I needed to create the links as far as whether it's the 3D model itself going in just a universal 3D model, going into the Inventor space, and then creating model states from it, or taking the spreadsheet from our manufacturing list and putting it into the Inventor parameters.

That is all set-- obviously, able to move Inventor products into Fusion 360, and then also bring in our asset library, so our machines, geometry, and then our tooling library, into Fusion 360, with the a few snags. But we can get that done for the most part.

But the big issue that I've had is being able to populate all the tools used and the setups used within the Fusion 360 CAM and output technical documentation that is driven by said documents. And so that's where our relationship really came to an advantage to the both of us because this is giving light to maybe a gap in their software, but also helping us out in filling in these issues that we're having.

And so, like I said, we're leveraging this Autodesk service, and that's the EBA. And we're able to interface with them. They're able to quickly understand and start developing the workflow for these connections and these gaps because they're so knowledgeable in the Fusion 360 space or their own software space, really. And they were also able to not only just develop but also point me into the right resources because, sometimes, resources can be hard to find when it comes to such niche subject matter.

And so you can see here, I got a workflow from one of the Autodesk employees. And really mapping out what's going to happen next helps me understand what exactly is going on, what I need to do, and also lets me validate what's going on in my project. And so you can see we're starting with the tool specifications that I already have. P21 is a newer format that's coming out as a standard for everyone. And there are some insights on other partners using this P21 format.

From there, they're able to really expedite this Fusion automation portion of it. We're able to import the files, map data to drawings, and format the drawings, and then, ultimately, exporting the drawings. And when I say drawings, I mean the tooling layout, and not just what is there in a standard way, but more of a very customized proprietary tool layout output for Toyota to use that we've used for forever.

And then we're able to do a proof of concept. Their [INAUDIBLE] was really able to break out what is the flow for this proof of concept. So we want to make sure we're going to open up the files, make it very clear. We're going to make subprograms to reformat the Excel file into a Fusion tool library import, verify the import, and then create the drawing in an automatic way, and then, also, making sure that all the information, the metadata, is copied from the Excel file into the drawing fields appropriately. So this is very well-spelled out. It's very helpful and great to see.

I think some things to note that also could potentially need some improvement, but able to get around, is the connecting Inventor parameters to an Excel sheet, although it is really possible. And you can see here, this is my flow of how I've done it. It was also kind of a little bit difficult to get to. but once it's set up, it's set up, so it's very nice now.

What I did is I started with the Inventor parameters. I made sure to label them within the parameter sheet or spreadsheet within Inventor itself, just so it's easy to identify and link later on if need be. But I had to create an automatic iLogic export. So every time I save the Inventor file, I'm going to have iLogic prompt and export the XVL file out to a specific area, or if I need to-- if I have both a spreadsheet of parameters open and the file open, have a quick button to export out these parameters to make sure both my files are updated at the same time or are in sync.

From there, we have the raw XML file, and the best way that we found to edit this is to get it into an Excel format, so a spreadsheet Excel format. Again, we're going to have to-- we had to develop in-house a VBA or a macro to convert the XML format into an Excel format. Although Excel is able to import an XML, it's not as straightforward to export. But that was a whole thing.

And so once we get the XML imported into an Excel file, we're able to edit it. We're able to bring in the engineers' input spreadsheets, so that main master data sheet, we're able to bring that in and link the appropriate parameters in, save it out. Again, a macro will have to convert it back out to an XML format, how Inventor is able to read it. And then, again, every time I open up Inventor with this specific model, it'll pull that data automatically and update the model according to these new parameters-- again, needing to sync if I have both open at the same time.

So that is Inventor parameters and how to make them driven by Excel sheets. The reason I went with the XML import and export as opposed to the more simplified spreadsheet export and import is because of the capability that the XML has over the spreadsheets. I believe I'm able to specify tolerances a little bit more in XML as opposed to just the spreadsheet with just the main parameter.

Also, another note of mine is that there is some opportunity for linkage between the Inventor and Fusion 360. Although it's possible today, and it works great, and it's wonderful, the issue that I've found in my particular case is the use of model states, and I believe this is because it's fairly new. And unfortunately, every model state will have to render a new Fusion 360 file if that's the route you want to go. I am opting to match my setups with my model states, but break that link between and just start with the raw material and evaluate it from there. But if you do go on the route of needing every model state into Fusion 360, that could be a potential barrier of needing multiple Fusion files for every one Inventor file.

And then, lastly, our standard method of our precision measurement lists-- and that's essentially our inspection sheet-- is to bubble the dimensions. After many, many Google searches, I was not able to find a native feature within Inventor or Fusion 360 to bubble just numbers along with the dimensions, as you would a measurement list. And there is an add-in for Inventor that's quite recently come out. I have to try that, but an option nonetheless. But I think with the interactions I've had with Autodesk, I'm able to raise this flag and see if there's a possibility for some development, which is very nice. And I'm hopeful to see this soon.

Other than that, I think this about wraps us up. I appreciate your time. Please reach out for any questions. I know it was a lot more connecting Inventor/Fusion 360 and less CAM but I feel this subject, though being developed, is very important to our work to really shorten and bring down the amount of time it takes for us to study and output our technical documentations out to people that will need it. If there's an update to a drawing, if there's a change, a slight change, that needs to be done, this is the best system to use, in my opinion, to quickly and effectively output these changes to the people who need it the most. Other than that, have a good day. Thank you.

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我们通过 Typepad Stats 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Typepad Stats 隐私政策
Geo Targetly
我们使用 Geo Targetly 将网站访问者引导至最合适的网页并/或根据他们的位置提供量身定制的内容。 Geo Targetly 使用网站访问者的 IP 地址确定访问者设备的大致位置。 这有助于确保访问者以其(最有可能的)本地语言浏览内容。Geo Targetly 隐私政策
SpeedCurve
我们使用 SpeedCurve 来监控和衡量您的网站体验的性能,具体因素为网页加载时间以及后续元素(如图像、脚本和文本)的响应能力。SpeedCurve 隐私政策
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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改善您的体验 – 使我们能够为您展示与您相关的内容

Google Optimize
我们通过 Google Optimize 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Google Optimize 隐私政策
ClickTale
我们通过 ClickTale 更好地了解您可能会在站点的哪些方面遇到困难。我们通过会话记录来帮助了解您与站点的交互方式,包括页面上的各种元素。将隐藏可能会识别个人身份的信息,而不会收集此信息。. ClickTale 隐私政策
OneSignal
我们通过 OneSignal 在 OneSignal 提供支持的站点上投放数字广告。根据 OneSignal 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 OneSignal 收集的与您相关的数据相整合。我们利用发送给 OneSignal 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. OneSignal 隐私政策
Optimizely
我们通过 Optimizely 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Optimizely 隐私政策
Amplitude
我们通过 Amplitude 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Amplitude 隐私政策
Snowplow
我们通过 Snowplow 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Snowplow 隐私政策
UserVoice
我们通过 UserVoice 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. UserVoice 隐私政策
Clearbit
Clearbit 允许实时数据扩充,为客户提供个性化且相关的体验。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。Clearbit 隐私政策
YouTube
YouTube 是一个视频共享平台,允许用户在我们的网站上查看和共享嵌入视频。YouTube 提供关于视频性能的观看指标。 YouTube 隐私政策

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定制您的广告 – 允许我们为您提供针对性的广告

Adobe Analytics
我们通过 Adobe Analytics 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Adobe Analytics 隐私政策
Google Analytics (Web Analytics)
我们通过 Google Analytics (Web Analytics) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Web Analytics) 隐私政策
AdWords
我们通过 AdWords 在 AdWords 提供支持的站点上投放数字广告。根据 AdWords 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AdWords 收集的与您相关的数据相整合。我们利用发送给 AdWords 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AdWords 隐私政策
Marketo
我们通过 Marketo 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。我们可能会将此数据与从其他信息源收集的数据相整合,以根据高级分析处理方法向您提供改进的销售体验或客户服务体验以及更相关的内容。. Marketo 隐私政策
Doubleclick
我们通过 Doubleclick 在 Doubleclick 提供支持的站点上投放数字广告。根据 Doubleclick 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Doubleclick 收集的与您相关的数据相整合。我们利用发送给 Doubleclick 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Doubleclick 隐私政策
HubSpot
我们通过 HubSpot 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。. HubSpot 隐私政策
Twitter
我们通过 Twitter 在 Twitter 提供支持的站点上投放数字广告。根据 Twitter 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Twitter 收集的与您相关的数据相整合。我们利用发送给 Twitter 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Twitter 隐私政策
Facebook
我们通过 Facebook 在 Facebook 提供支持的站点上投放数字广告。根据 Facebook 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Facebook 收集的与您相关的数据相整合。我们利用发送给 Facebook 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Facebook 隐私政策
LinkedIn
我们通过 LinkedIn 在 LinkedIn 提供支持的站点上投放数字广告。根据 LinkedIn 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 LinkedIn 收集的与您相关的数据相整合。我们利用发送给 LinkedIn 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. LinkedIn 隐私政策
Yahoo! Japan
我们通过 Yahoo! Japan 在 Yahoo! Japan 提供支持的站点上投放数字广告。根据 Yahoo! Japan 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Yahoo! Japan 收集的与您相关的数据相整合。我们利用发送给 Yahoo! Japan 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Yahoo! Japan 隐私政策
Naver
我们通过 Naver 在 Naver 提供支持的站点上投放数字广告。根据 Naver 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Naver 收集的与您相关的数据相整合。我们利用发送给 Naver 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Naver 隐私政策
Quantcast
我们通过 Quantcast 在 Quantcast 提供支持的站点上投放数字广告。根据 Quantcast 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Quantcast 收集的与您相关的数据相整合。我们利用发送给 Quantcast 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Quantcast 隐私政策
Call Tracking
我们通过 Call Tracking 为推广活动提供专属的电话号码。从而,使您可以更快地联系我们的支持人员并帮助我们更精确地评估我们的表现。我们可能会通过提供的电话号码收集与您在站点中的活动相关的数据。. Call Tracking 隐私政策
Wunderkind
我们通过 Wunderkind 在 Wunderkind 提供支持的站点上投放数字广告。根据 Wunderkind 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Wunderkind 收集的与您相关的数据相整合。我们利用发送给 Wunderkind 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Wunderkind 隐私政策
ADC Media
我们通过 ADC Media 在 ADC Media 提供支持的站点上投放数字广告。根据 ADC Media 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 ADC Media 收集的与您相关的数据相整合。我们利用发送给 ADC Media 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. ADC Media 隐私政策
AgrantSEM
我们通过 AgrantSEM 在 AgrantSEM 提供支持的站点上投放数字广告。根据 AgrantSEM 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AgrantSEM 收集的与您相关的数据相整合。我们利用发送给 AgrantSEM 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AgrantSEM 隐私政策
Bidtellect
我们通过 Bidtellect 在 Bidtellect 提供支持的站点上投放数字广告。根据 Bidtellect 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bidtellect 收集的与您相关的数据相整合。我们利用发送给 Bidtellect 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bidtellect 隐私政策
Bing
我们通过 Bing 在 Bing 提供支持的站点上投放数字广告。根据 Bing 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bing 收集的与您相关的数据相整合。我们利用发送给 Bing 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bing 隐私政策
G2Crowd
我们通过 G2Crowd 在 G2Crowd 提供支持的站点上投放数字广告。根据 G2Crowd 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 G2Crowd 收集的与您相关的数据相整合。我们利用发送给 G2Crowd 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. G2Crowd 隐私政策
NMPI Display
我们通过 NMPI Display 在 NMPI Display 提供支持的站点上投放数字广告。根据 NMPI Display 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 NMPI Display 收集的与您相关的数据相整合。我们利用发送给 NMPI Display 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. NMPI Display 隐私政策
VK
我们通过 VK 在 VK 提供支持的站点上投放数字广告。根据 VK 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 VK 收集的与您相关的数据相整合。我们利用发送给 VK 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. VK 隐私政策
Adobe Target
我们通过 Adobe Target 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Adobe Target 隐私政策
Google Analytics (Advertising)
我们通过 Google Analytics (Advertising) 在 Google Analytics (Advertising) 提供支持的站点上投放数字广告。根据 Google Analytics (Advertising) 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Google Analytics (Advertising) 收集的与您相关的数据相整合。我们利用发送给 Google Analytics (Advertising) 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Google Analytics (Advertising) 隐私政策
Trendkite
我们通过 Trendkite 在 Trendkite 提供支持的站点上投放数字广告。根据 Trendkite 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Trendkite 收集的与您相关的数据相整合。我们利用发送给 Trendkite 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Trendkite 隐私政策
Hotjar
我们通过 Hotjar 在 Hotjar 提供支持的站点上投放数字广告。根据 Hotjar 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Hotjar 收集的与您相关的数据相整合。我们利用发送给 Hotjar 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Hotjar 隐私政策
6 Sense
我们通过 6 Sense 在 6 Sense 提供支持的站点上投放数字广告。根据 6 Sense 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 6 Sense 收集的与您相关的数据相整合。我们利用发送给 6 Sense 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. 6 Sense 隐私政策
Terminus
我们通过 Terminus 在 Terminus 提供支持的站点上投放数字广告。根据 Terminus 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Terminus 收集的与您相关的数据相整合。我们利用发送给 Terminus 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Terminus 隐私政策
StackAdapt
我们通过 StackAdapt 在 StackAdapt 提供支持的站点上投放数字广告。根据 StackAdapt 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 StackAdapt 收集的与您相关的数据相整合。我们利用发送给 StackAdapt 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. StackAdapt 隐私政策
The Trade Desk
我们通过 The Trade Desk 在 The Trade Desk 提供支持的站点上投放数字广告。根据 The Trade Desk 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 The Trade Desk 收集的与您相关的数据相整合。我们利用发送给 The Trade Desk 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. The Trade Desk 隐私政策
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

是否确定要简化联机体验?

我们希望您能够从我们这里获得良好体验。对于上一屏幕中的类别,如果选择“是”,我们将收集并使用您的数据以自定义您的体验并为您构建更好的应用程序。您可以访问我们的“隐私声明”,根据需要更改您的设置。

个性化您的体验,选择由您来做。

我们重视隐私权。我们收集的数据可以帮助我们了解您对我们产品的使用情况、您可能感兴趣的信息以及我们可以在哪些方面做出改善以使您与 Autodesk 的沟通更为顺畅。

我们是否可以收集并使用您的数据,从而为您打造个性化的体验?

通过管理您在此站点的隐私设置来了解个性化体验的好处,或访问我们的隐私声明详细了解您的可用选项。