AU Class
AU Class
class - AU

Realizing the Circular Economy in Tool Making with Hybrid Manufacturing

共享此课程
在视频、演示文稿幻灯片和讲义中搜索关键字:

说明

In this talk, we’ll explore the application of hybrid manufacturing to injection mold tools for both modification and repair, demonstrating a circular economy where tools can be modular, reusable, and rapidly modified. Hybrid manufacturing uses machine tools that combine additive and subtractive operations, and provide particular value to the modification and life extension of mold tools. We'll demonstrate a workflow using Autodesk software to (a) identify unwanted features or damage on a mold, (b) capture physical geometric data, (c) program processes to remove and repair features and damage, (d) redeposit material, and (e) machine new features. We'll demonstrate both the digital and physical aspects of the workflow, and aim to present the final physical output—a brand-new injection-molded component, made in the Autodesk Moldflow Laboratory in Kilsyth, Australia. This project is a collaboration between the Manufacturing Demonstration Facility at Oak Ridge National Laboratory and Autodesk.

主要学习内容

  • Learn how to use hybrid manufacturing to extend the life of and modify injection molding tools
  • Learn how to create additive and subtractive toolpaths
  • Learn how to assess the manufacturing feasibility of injection molded designs with Fusion 360 Simulation
  • Learn about the benefits and limitations of hybrid manufacturing

讲师

  • Daniel Noviello 的头像
    Daniel Noviello
    Dan has a background in mechanical design and analysis with experience in several industries including aerospace, space, automotive, consumer products, and heavy industry. With over 10 years of experience with Autodesk Software across the entire portfolio, he now works in the Informed Design team helping customers and users get value from this powerful new offering.
  • Paul Brincat
    Paul is the Manager of the Autodesk Materials Lab, responsible for polymer characterization services for Autodesk's injection molding simulation products, as well as various material research projects. Paul joined Autodesk through the Moldflow acquisition in 2008, having a 25+ year career in the fields of injection molding simulation, validation and material testing. Paul first presented at AU2012, so this will be his second presentation at AU.
  • Desmond Ho 的头像
    Desmond Ho
    Desmond is a Research Project Manager with Autodesk Research Industry Futures - Strategic Engagements team, based in Singapore. Specializing in Aerospace design and manufacturing, he implemented advance engineering design-to-manufacturing workflow and factory automation system in the region. More recently he got involved in projects from other industries including automotive, construction and the marine sector developing innovative manufacturing workflow such as adaptive, additive and hybrid manufacturing using advance engineering material.
Video Player is loading.
Current Time 0:00
Duration 29:15
Loaded: 0%
Stream Type LIVE
Remaining Time 29:15
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
    Transcript

    DANIEL NOVEIELLO: Hello, and welcome to Autodesk University 2021. My name is Dan Noviello, and I'm joined here by my colleagues, Paul, Kyle, and Desmond to present to you our industry talk, Realizing the Circular Economy in Tool Making with Hybrid Manufacturing.

    With that, I'll pass it over to Desmond to start our introductions.

    DESMOND HO: Hi, everyone. I'm Desmond, I'm a project manager with the Industry Futures Strategy Engagement team based in Singapore. So specializing in aerospace design and manufacturing, I work on the implementation of advanced engineering design to manufacturing workflow and factory automation system in this region. Leveraging on the experience I have in aerospace industry, translate them, the know how into other industries, including the automotive construction and the marine sector, developing innovative manufacturing workflow, such as adaptive, additive, and hybrid manufacturing with advanced engineering material.

    PAUL BRINCAT: Hi I'm Paul Brincat. I'm a Senior Research Manager at Autodesk Australia, located in Melbourne. I joined Autodesk through the Moldflow acquisition, so I have a long career in the fields of injection molding, simulation, and material testing. I'm now responsible for the Autodesk materials lab. We provide all the testing services for Autodesk injection molding simulation products, as well as contributing to various material research and collaboration projects, such as this. And I'll just hand it over to Kyle.

    KYLE SALEEBY: Hello, everyone. My name is Kyle Saleeby and I'm a research staff member with the Manufacturing Automation and Controls Group at Oak Ridge National Lab. My main focus is working with the manufacturing demonstration facility on connected processes with manufacturing machines and industry 4.0 technologies. My current focus centers on applications of data science, and particularly closed loop control of hybrid manufacturing processes. Dan, I'll turn it back over to you.

    DANIEL NOVEIELLO: Thanks, Kyle. And finally, as I mentioned, I'm Dan Noviello, I'm a manager in the Industry Futures Group, which is part of Autodesk research. Like Paul, I'm also based in Melbourne, Australia. And I've got a background in aerospace and space engineering with a focus on structural design and simulation. At Autodesk I lead a team that collaborates with our industrial and academic partners to deliver research and innovations across all of our industry verticals, which are AEC, architecture engineering construction, manufacturing, and media and entertainment.

    OK so moving on, before we get into this, I'd just like to make a few acknowledgments. I'd like to acknowledge the many people who have contributed to the work that we're presenting to you today. We've been working with the team at the manufacturing demonstration facility at Oak Ridge National Labs for about two years now. And in that time, we've developed a great partnership in which we've researched and co-developed a range of digital manufacturing technologies. And these are in various areas, like CNC cutting forces and dynamics, circular and sustainable manufacturing, and of course, large scale additive and hybrid manufacturing.

    I want to stress that this presentation here is but a small part of the research that we've been doing into hybrid manufacturing and its applications, so please feel free to explore this topic further with us at the end in the Q&A, we really look forward to having that discussion with you.

    OK, so I'm just going to run through the contents of today's talk. First of all, we're going to get started with some goals of the project itself and re-introduce you to the learning objectives. We'll then dive into the industry context to give you a bit of a background as to why this is relevant in the injection molding industry and just a quick refresher about hybrid manufacturing. We'll then go on and introduce our demonstration component which we've used for the project. We'll talk about some of the facilities that we've had at our disposal and the hardware and software used to carry out the project.

    And then, we'll dive into the process of actually modifying the tool with hybrid manufacturing, and we'll go through the entire workflow of that with you. Well then have a look at the results and discuss the conclusions towards the end of the presentation.

    OK, so to dive into the goals and the learning objectives. Now the goal of this specific project, for us, was to digitize and streamline the process of modifying injection mold tools with hybrid manufacturing technologies. Within this goal, we wanted to be able to demonstrate the circular economy principles with tool reuse in the injection molding industry, as opposed to building brand new tools and re-machining from block.

    And we also wanted to demonstrate the concept of flexible manufacturing, which is something that you might see in high mix and low volume factories, by using the same tool to produce successive versions of a product. So we're taking that digital paradigm and moving it into the physical space.

    Now for your learning objectives in this, we'd love you to go away having learned how to use hybrid manufacturing to extend the life of and modify injection molding tools, give you an idea about how to create additive and subtractive toolpaths. And also, help you learn how to assess the manufacturing feasibility of injection molded designs with Fusion 360 Simulation, so we'll provide an introduction there. Finally, we want to make sure that you learn a bit about the benefits and limitations of hybrid manufacturing.

    With that, I'll pass it over to Desmond to talk a little bit about the industry context of our project.

    DESMOND HO: Thank you, Dan. The common repair process in the motor industry includes milling away of damaged area and insert a pre-finished feature into the cavity, or simply by welding the cracks and machine it back to its normal geometry. This is usually limited to large and expensive models, for the simple reason of scale of economy, and smaller tools and inserts are usually just replaced.

    Our goal is to digitize, automate, and streamline the modification process with relatively simple hybrid manufacturing workflows. We see this as an example of circular manufacturing, as it encourages the reuse of tools and inserts, regardless of size, and provides significant reduction in lead time. This is also very useful for a manufacturer who requires modification to model for successive versions of products or new material trials.

    So talk a bit about hybrid manufacturing. So what is hybrid manufacturing? It is a combination of two processes in one platform. You are able to add and subtract material in an integrated machine tool. So having both manufacturing methods in one machine can be extremely useful and productive with far less machine setups required. This gives you the ability to build things to a unit shape and then machine them afterwards to a finished quality.

    So now, I will talk a bit about the demonstration component. To conduct the demonstration, we thought about how we could best illustrate circular manufacturing with model damage repair or modification. Eventually, we derive on a handheld diameter measuring tool, which we can give out as a souvenir during events. These components are usually event specific, which means it will need regular updates to design on selective area of the mold insert.

    So instead of making a whole new insert, the lead time can be significantly reduced by modifying the current insert with hybrid manufacturing. And since we all love giving presentations and souvenirs at conferences, this part can be branded differently for many conferences to come.

    So with this, I'll now pass on to Kyle to talk about Oak Ridge National Labs manufacturing demonstration facility.

    KYLE SALEEBY: Thank you, Desmond. So the manufacturing demonstration facility is a user facility located in Oak Ridge National Lab. Our facility has three programmatic focuses. One, to develop cutting edge manufacturing technology. Two, to work with our partners and immediately deploy these technologies to the shop floor. And three, to contribute to the next generation workforce who can leverage these advanced manufacturing technologies for a diverse range of national challenges.

    We are currently partnered with Autodesk for some of this development, particularly with hybrid manufacturing, simulation, and circular economy. And honestly, we tremendously enjoy this collaboration. Together, with our two teams combined, we get to form a community of people working for a better manufacturing industry. I'd encourage you to reach out to us if you'd like to work together in the future.

    Paul, I'll pass it over to you to talk about the Autodesk Materials Lab.

    PAUL BRINCAT: Thanks, Kyle. For this project, the Autodesk Materials Lab acted as a typical molding shop, where we used our machining and molding equipment to firstly, produce the insert and then conduct the molding trials. The main function of the lab is to offer polymer testing to generate material data files for injection molding products that Autodesk has such, as Moldflow. And now, with the recent update, Fusion injection molding.

    With over 30 years of polymer testing history, we've developed test methods that provide accurate representations of the materials, specifically for injection mold and simulation. So while we do have scientific equipment for measuring specific material properties, we have injection molding machines to measure material behavior as they're used in the industry. The result of which is help to create a database of over 11,000 materials, which is available in Moldflow and Fusion injection modeling.

    As with this project, we were also involved in various research and collaboration projects with third parties.

    With respect to hardware available, the original insert and molding, we had to work with the equipment at the lab. With much of our models being relatively simple geometry, such as flat blocks and extrusion dyes, we have a three axis Tormach machine available, which was used for the new insert. Also, given the time available, we elected to use existing configurable mold bases. This allowed us to choose from various gating designs and swap out the essential insert for this new insert, saving us time to generate the entire mold.

    But when working with the existing mold, that meant accommodating through existing cooling lines and ejection systems, which you see on the right. Where we needed to make sure where the ejectors would land on the part. So the inset rework at Oak Ridge, the Okuma MU8000V was used, which Kyle will be showing later on in the presentation.

    Obviously, on the Autodesk side, we wanted to utilize the benefits of Fusion 360 environment, particularly with the timeframe of this project, we didn't want to waste time transferring files and models between different environments. Also, having errors creep into just by having out-of-date models.

    So by simply creating a common Fusion project, we had a product designer, tooling designer, injection molding simulation, and all this all working in the same environment. So straight away, impacts the design decisions, we reviewed the tooling and injection molding processing issues. So it just enabled collaboration, rather than sequential design, tool, simulation. We just have injection molding machines can sometimes become too light to address.

    So shown here, all the members of the team can see the latest part design. Then by switching to the manufacturing environment, the tooling part design and simulation could be developed. Then again, by switching over to the simulation environment, the new plastic injection molding option is available for preview to assess prices and issues. And now, I'll hand it over to Desmond.

    DESMOND HO: Thank you, Paul. Now I give an overview of the workflow. So on the image itself, you can see the overview of Fusion 360 hybrid workflow for the component. We started off with the component design, look for suitable more tool for reuse, and ran a simulation with material shrinkage properties, characterized by the Autodesk material apps, to check on the mold flow. From the simulation results, we would check if we need to refine the design or not.

    Once we are happy with the design, we generate milling tool path on the insert block and manufacture it. We proceed to run a small batch to look out for areas of concern and refine the original mold insert. We then update the component design to suit the next even and start with milling off at areas to be modified. We proceed to add material on the area we just machined and complete the insert modification by milling it to the updated CAD model.

    So with this, I'll pass to Paul to give a more in-depth presentation on the design simulation and make aspect.

    PAUL BRINCAT: Thanks, Desmond. Firstly to enable the Fusion injection molding building preview, you will need to make sure that the preview has been selected in the Fusion preferences, which you see on the right. The simulation uses the same 3D solvers available within the Moldflow inside products, though the process has been simplified with all the machining done internally and automatically.

    Once you enter the preview, the browser will, essentially, show you guide on key requirements. Firstly, being the material database, so you'll need to select the material through the over 11,000 materials available on the database. And these are using their actually measured properties, so it just enhances the simulation results.

    Then, you'll need to select the processing details, if they're known, so things like injection speeds. And then it's simply a matter of clicking solve and waiting for the results to become available.

    Here, we see some of the filling results obtained with Fusion. On the left, you'll see this animation of the filling of the part as the polymer enters the mold.

    Here, we've conducted some short shots during the mold trial, where we prematurely stopped the injection process so it can do a comparison with the simulation results are predicted and where the actual part melt followed to. And here's the end of filling. Also, what's not shown here is that it also predicts the shrinkage of the part, which is roughly, for this part, about 0.7%. And this was allowed for in part design.

    Build tool and manufactured injection molding component. For the machining of the mold, we took advantage of Fusion 360's CAD features, such as inductive and pocket for the basic shapes, steep and shallow for more complex 3D geometries, trace for sharp lines and engraving text and numbers.

    And here's the insert in our Tormach machine. And here is the newly manufactured part insert. This is just the one side. There's obviously a moving side, as well, which reflects this and has a deeper recess.

    The thing to focus here is on the AU 2021 text in the middle, which will be reworked during the hybrid manufacturing process.

    And here's how the Insert performed in our molding trial. And see the part being ejected.

    Like to say everything went perfectly as designed, but like many mold trials, you always discover new problems. While we were able to mold several different materials, there was always areas for improvement. With this part, because of the gate design and the relatively long tab but often broke off in the moving half, and that blocked the subsequent shot, so there was ejection issues for the next shot.

    Also, you can see here on the top right, the part often stuck into the fixed half, which is not as by design, but needs to fix into the moving half so it can be injected successfully. So obviously, there were some areas for improvement. And this is one area that, perhaps, the hybrid machining method could be used to address these types of molding issues. Instead of throwing out the Insert, it could be reworked and addressed. And now, I'll hand over to Desmond.

    DESMOND HO: Thank you, Paul. Now I will talk a bit about the implementation of the design update. So in just days before finishing off our hybrid modify inserts to be ready for the next event, IMTS 2022, we were informed of the Autodesk logo change, which means our original Autodesk logo will not be relevant for any coming events. So we then thought to ourselves, isn't this the best way to show the benefits of having manufacturing for model modification and repair? So an immediate update on the CAD model with Fusion 360, followed by additive and subtractive to path regeneration, prepared us for a really, really quick turnaround time for physical modification of the insert.

    So with this, I'll pass on to Kyle how we make this possible with the heavy process he undertook, Kyle?

    KYLE SALEEBY: Yeah, thank you, Desmond. And I totally agree, right when you guys came to us with not only the text redesign for IMTS 2022 but also the new Autodesk logo, it's a perfect opportunity to show the benefits of hybrid.

    So there were three main steps that we took to refresh this mold. First, we had to program the tool paths to prepare the existing geometry of the used mold inserts. This helps just to prepare the surfaces, make sure that everything is in a known location and where we think it is prior to the hybrid operations. The mold preparation process involved aligning the new mold in our Okuma MU8000 Laser EX hybrid machine. We made the part, revised the whole new system to align some of the existing features with a common work origin. And I'll talk a little bit later about some of the things that the Okuma particularly has that assisted with that.

    Next, we needed to program the tool paths, so we programmed a quick facing pass to remove the AU 2021 engraved text and that's where the new text will be placed. So just facing off the surface, giving it a nice, known location from where to start. It's a very simple tool path to start with that blank surface.

    Finally, we programmed a tool path to machine a small pocket that you see on the right hand side of your screen. This is where that new material will be deposited. The pocket was designed to be as small as possible to require the most efficient amount of material for the additive change. It also provided a controlled location to help contain some of the blown powder material. This same process was duplicated for the new Autodesk logo that you see on the bottom of the mold.

    So on the next slide, one of the benefits of Fusion 360, clearly, is the ability to change rapidly between workspaces and manufacturing operations. This capability became extremely powerful when we needed to switch back between subtractive machining, additive DED, and even the redesign changes to make these tool parts. After programming and completing the preparation steps, we heavily leveraged that ability to switch to program a DED feature construction strategy to rebuild both the logo text and the new Autodesk logo. You can see on the right hand side of your screen a simulation with that final tool path for filling in the old Autodesk logo and preparing it for final machining.

    On the next slide, we'll talk a little bit about how we erased and rebuilt that updated feature. So this video shows exactly what happened during some of the additive fill operations. As you can see, delving a little bit deeper into the additive process, we used the tool path on our DED machine, the Okuma MU8000 Laser EX. After that was done, we then re-machined it, just with our program tool paths, as we programmed before. And I believe on this timelapse, you can see us coming in to inspect the mold, making sure the surfaces appeared as we saw.

    Continuing on with the re-machining operations, working down the surfaces to those known heights. And finally, finishing up the mold with a couple of finishing passes to regenerate those final surface features for the fixed mold insert. We then duplicated this on the moving mold insert, as well.

    So there's a couple of considerations that I'd like everyone to keep in mind when we work with hybrid manufacturing technologies. First, we were careful to ensure proper material dilution and adhesion of the new material to the mold surface. You can see right there on the left hand side of your screen, the pocket that was filled in, as well as the Autodesk logo the, old logo that was filled in. We had to carefully tune our additive process parameters to make sure that, basically, the materials stuck to the underlying substrate. We also set strategic tool path limits. And at times, even physically masked other features on the mold to prevent damage from weld spatter or slag. You saw in the video, one of our technicians looking at the mold to make sure that surface was still good after the DED process.

    We also leveraged a series of process monitoring techniques to capture, record, and analyze the mold repair process. As I mentioned before, when we were aligning it, one of the key technologies we used was the Okuma hybrid machine's coaxial weld pool monitoring camera. This allows a operator to directly view the weld pool in real time and gain an understanding of the material dilution and adhesion quality, basically checking that we made a good weld in repairing this process.

    So finally, on the next slide, throughout this process, we learned a great deal about repairing the existing mold by leveraging the Fusion 360 environment. There were a couple of tool path considerations, in terms of giving extra feed height than the roughing operations to bring that preform down to size. We heavily relied on that design workspace to make sketches, boundaries, and other geometric features that helped us guide and control the subtractive tool paths. This can also now be done with the new manufacturing model process, as well.

    And finally, we leveraged a few of the advanced tool path modifications, as well, to trim and edit the tool paths that were generated. This allows us to generate a tool path using, for example, the adaptive strategy to further roughing operations, but then go in and rework it and limit it to one specific area on the tool. It was very useful to leverage all these in the integrated Fusion 360 environment.

    On the next slide, Desmond, the final inserts are shown. You can see the revamped Autodesk logo, the IMTS 2022, and also the text that was added in there on the bottom mold. Overall, the reworked project was a big success and required multiple components, parts, tool paths, and setups to be coordinated throughout both the Autodesk shop and as well as the manufacturing demonstration facility.

    So all that's left is the last stage in the process, of course, using the newly repaired mold in Paul's materials shop. You can see the new inserts performing at the Autodesk injection molding machine. Just as the mold breaks open, the ejection pins fire and our part is successfully pushed out of the mold inserts.

    So with that, Desmond, I'll turn it back over to you.

    DESMOND HO: Thank you, Kyle. So here is the images for before and after of the part produced with our hybrid mold to insert modification. On the left is the original mold to insert, and on the right it's the one after the hybrid manufacturing mold to insert modification update. So you can see on the bottom area, we have the logo changed and also the events changed from AU 2021 to IMTS 2022.

    So unifying our workflow within a single Fusion 360 project allows very rapid change and update to the design and to path, like what Paul and Kyle shared. So initial molding issue was resolved swiftly with problem identification and refinement of the insert with additional milling tool path. Also the 11th hour logo change was very quickly resolved with each team updating respective design, milling, and additive tool paths concurrently. So what makes Fusion 360 very valuable to us is the ability to collaborate very remotely. So the team consists of members from four different countries, four different time zones, and physical work spread between two different labs.

    Coming to the conclusion, the unified hybrid manufacturing workflow in Fusion 360 create opportunity for more maker and manufacturer to reuse their mold tool. And at the same time, enjoy a shorter [INAUDIBLE] time, reducing waste, and eventually reducing their cost. It also provides a very good platform for research into new engineering material characterization, which often requires successive changes in model design, to achieve the desired results.

    So although we know the potential and benefits hybrid manufacturing can bring to the industry, there are also barriers to the technology adoption. Firstly, it's the cost of the hybrid manufacturing machine tool now, which may not be economically viable for smaller companies to purchase. Another barrier will be the size, weight, or the surface area of the model to be repaired or modified. So they are usually restricted by the load and envelope the hybrid machine tool can handle. So if it's too large, if it's larger than the hybrid machine tool envelope, it will not be able to work on it.

    So thus, we are exploring the possibility to bring down the entry barrier, transferring this know-how onto less costly hybrid machine hardware set up with a single, easy to use software application like Fusion 360, which we have already approved the single workflow to cover the whole process. We are also scaling up the process to cater to bigger and more complex to repair or modification. And also for manufacturer that has a very high mix and low-volume injection molding components to produce.

    So with this, we have come to the end of our presentation. And on behalf of the team, I would like to thank everyone for attending our presentation and we look forward to answering your questions in the Q&A section next. Thank you. Thank you.

    ______
    icon-svg-close-thick

    Cookie 首选项

    您的隐私对我们非常重要,为您提供出色的体验是我们的责任。为了帮助自定义信息和构建应用程序,我们会收集有关您如何使用此站点的数据。

    我们是否可以收集并使用您的数据?

    详细了解我们使用的第三方服务以及我们的隐私声明

    绝对必要 – 我们的网站正常运行并为您提供服务所必需的

    通过这些 Cookie,我们可以记录您的偏好或登录信息,响应您的请求或完成购物车中物品或服务的订购。

    改善您的体验 – 使我们能够为您展示与您相关的内容

    通过这些 Cookie,我们可以提供增强的功能和个性化服务。可能由我们或第三方提供商进行设置,我们会利用其服务为您提供定制的信息和体验。如果您不允许使用这些 Cookie,可能会无法使用某些或全部服务。

    定制您的广告 – 允许我们为您提供针对性的广告

    这些 Cookie 会根据您的活动和兴趣收集有关您的数据,以便向您显示相关广告并跟踪其效果。通过收集这些数据,我们可以更有针对性地向您显示与您的兴趣相关的广告。如果您不允许使用这些 Cookie,您看到的广告将缺乏针对性。

    icon-svg-close-thick

    第三方服务

    详细了解每个类别中我们所用的第三方服务,以及我们如何使用所收集的与您的网络活动相关的数据。

    icon-svg-hide-thick

    icon-svg-show-thick

    绝对必要 – 我们的网站正常运行并为您提供服务所必需的

    Qualtrics
    我们通过 Qualtrics 借助调查或联机表单获得您的反馈。您可能会被随机选定参与某项调查,或者您可以主动向我们提供反馈。填写调查之前,我们将收集数据以更好地了解您所执行的操作。这有助于我们解决您可能遇到的问题。. Qualtrics 隐私政策
    Akamai mPulse
    我们通过 Akamai mPulse 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。. Akamai mPulse 隐私政策
    Digital River
    我们通过 Digital River 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。. Digital River 隐私政策
    Dynatrace
    我们通过 Dynatrace 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。. Dynatrace 隐私政策
    Khoros
    我们通过 Khoros 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。. Khoros 隐私政策
    Launch Darkly
    我们通过 Launch Darkly 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。. Launch Darkly 隐私政策
    New Relic
    我们通过 New Relic 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。. New Relic 隐私政策
    Salesforce Live Agent
    我们通过 Salesforce Live Agent 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。. Salesforce Live Agent 隐私政策
    Wistia
    我们通过 Wistia 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。. Wistia 隐私政策
    Tealium
    我们通过 Tealium 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。. Tealium 隐私政策
    Upsellit
    我们通过 Upsellit 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。. Upsellit 隐私政策
    CJ Affiliates
    我们通过 CJ Affiliates 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。. CJ Affiliates 隐私政策
    Commission Factory
    我们通过 Commission Factory 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。. Commission Factory 隐私政策
    Google Analytics (Strictly Necessary)
    我们通过 Google Analytics (Strictly Necessary) 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。. Google Analytics (Strictly Necessary) 隐私政策
    Typepad Stats
    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

    icon-svg-hide-thick

    icon-svg-show-thick

    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

    icon-svg-hide-thick

    icon-svg-show-thick

    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。