In engineering, generative models often face two main issues: obtaining diverse, high-performing datasets and ensuring generated designs meet precise constraints. This paper proposes an innovative approach for architectural design that combines optimization, constraint satisfaction, and language models. Autodesk Research used a method called Quality-Diversity (QD) to create a varied, high-performing dataset. Researchers then fine-tuned a language model with this dataset to create high-level designs, which are refined using the Wave Function Collapse algorithm to create detailed layouts that meet design constraints. Learn more here: https://bit.ly/45xuv6J
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Are you looking to supercharge your CAD engineering productivity and accelerate your time-to-market? Don't miss Creo Chapter on-demand session, "Improve engineering productivity and time-to-market with AI-driven Generative Design." In this session, you'll learn how to: ✅ Rapidly explore innovative, manufacturable solutions. ✅ Challenge your own assumptions and deliver high-quality, lower-cost designs. ✅ Leverage the power of Creo Generative Design within the familiar Creo environment. Join Darrsan Raveendran and discover how Generative Design can help you deliver your best designs in less time. 📌 Watch on-demand now! #AI #Creo #CAD #Engineering
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📃Scientific paper: Real-time generative design of diverse, "truly" optimized structures with controllable structural complexities Abstract: Compared with traditional design methods, generative design significantly attracts engineers in various disciplines. In thiswork, howto achieve the real-time generative design of optimized structures with various diversities and controllable structural complexities is investigated. To this end, a modified Moving Morphable Component (MMC) method together with novel strategies are adopted to generate high-quality dataset. The complexity level of optimized structures is categorized by the topological invariant. By improving the cost function, the WGAN is trained to produce optimized designs with the input of loading position and complexity level in real time. It is found that, diverse designs with a clear load transmission path and crisp boundary, even not requiring further optimization and different from any reference in the dataset, can be generated by the proposed model. This method holds great potential for future applications of machine learning enhanced intelligent design. Continued on ES/IODE ➡️ https://etcse.fr/2Q1qU ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.
Real-time generative design of diverse, "truly" optimized structures with controllable structural complexities
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In this post, we will explain some design considerations and best practices for engineers who are getting started in surface modeling. https://hubs.li/Q02bDVBG0
Design Principles and Best Practices for Surface Modeling
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Just finished "Fusion 360: Generative Design" by Thom Tremblay! Generative design is a design exploration process that leverages algorithms to generate a wide range of design solutions based on specified constraints and goals. Its importance lies in several key areas: Innovation: It pushes the boundaries of traditional design by creating novel and optimized solutions that might not be conceived through conventional methods. Efficiency: It enhances material efficiency and performance by analyzing and optimizing designs for specific criteria, such as weight reduction or structural integrity. Speed: It accelerates the design process by automating iterative design exploration, reducing the time required to develop and test multiple design alternatives. Customization: It allows for highly customized solutions tailored to specific needs or constraints, which is particularly useful in fields like architecture, automotive, and aerospace. Cost Reduction: By optimizing designs for material use and performance, generative design can reduce production costs and waste, leading to more sustainable manufacturing practices. Overall, generative design is crucial for advancing product development, fostering creativity, and improving efficiency and sustainability in various industries. Check it out: https://lnkd.in/dvFjytSm #autodeskfusion360, #generativedesign.
Certificate of Completion
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We’re thrilled to announce the official release of Cognitive Design, the first-of-its-kind manufacturing-driven design software. Cognitive Design marks an exciting milestone in our vision to create a next-generation product design platform that generates performant, manufacturable, cost-effective, and sustainable products. Key Features: 1. Manufacturing-Driven Design: Automatically transform any part into a manufacturable component with our unique capability. Fine-tune feature sizes, redesign hole shapes, improve thermal concentration, or add stiffness to thin walls—all in under a minute. 2. Simulation-Driven Design: Optimize parts locally using your simulation data. With full control over your geometry, our cleabox environment allows you to drive geometry adjustments directly from your simulation results. 3. Lightweighting: Reduce weight efficiently with variable ribbing, TPMS, and lattice structures. Make your parts lighter without sacrificing performance. 4. Accelerate Design Process: Leverage Cognitive Design’s algorithmic approach to create customized workflows and iterate designs at lightning speed. Our preset workflows—like Lightweighting and Simulation-Driven Design—make advanced engineering accessible, even without a PhD in computational design. 5. Unbreakable Geometry: Simplify complex geometric operations with our high-performance geometric engine, ensuring your designs are robust and manufacturable. Want to explore Cognitive Design capabilities? Sign up for a 60-day #FREE trial and experience all that Cognitive Design has to offer 👉 https://lnkd.in/egDhTrUx Read more about Cognitive Design 👉 https://lnkd.in/e69TmzsS #Design #product #CAD #generativedesign #computationaldesign #CDFAM #geometry
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Driving value-centric digital transformation for customers through top-tier partners as a Sr. Partner Manager
Join Darrsan Raveendran and discover how Generative Design can help you deliver your best designs in less time. 📌 Watch on-demand now! In this session, you'll learn how to: ✅ Rapidly explore innovative, manufacturable solutions. ✅ Challenge your own assumptions and deliver high-quality, lower-cost designs. ✅ Leverage the power of Creo Generative Design within the familiar Creo environment. #AI #Creo #CAD #Engineering
Improve engineering productivity and time-to-market with AI-driven Generative Design | PTC
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🚀 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗻𝗲𝘄𝘀 𝗳𝗼𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀! 🚀 🔧 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝘀𝗶𝗴𝗻: 𝗧𝗵𝗲 𝗟𝗮𝘁𝗲𝘀𝘁 𝗧𝗼𝗼𝗹 𝗶𝗻 𝘁𝗵𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿'𝘀 𝗧𝗼𝗼𝗹𝗯𝗼𝘅 🔧 In today's fast-paced world, every engineer strives to deliver top-notch solutions in record time. But how can we achieve this ambitious goal? Enter generative design – a game-changer in the field of engineering. 🎨 What can you do with generative design? Save time by automating basic shape design. Maximize lightweight without compromising performance. Innovate with new and unexpected solutions. 📚 In this latest paper, we debunk common misconceptions about generative design, highlighting its versatility and accessibility for engineers of all skill levels. 💡 What exactly is generative design? It's like having a seasoned engineer and expert stress analyst at your fingertips, turbocharged by machine learning. When it comes to designing, generative design and topology optimization are often confused. However, generative design creates many design options based on input criteria, while topology optimization optimizes the shape of a single design based on the desired outcome. 🔄 Generative design vs. topology optimization: While often confused, these are distinct technologies. Generative design automatically creates designs that meet specifications, whereas topology optimization finds the ideal shape through iterative analysis. 👩💻 Embracing generative design means embracing innovation and efficiency. By leveraging its power, engineers can unlock groundbreaking solutions that traditional methods might overlook. Ready to revolutionize your design process? Dive into generative design and unleash your creativity! #GenerativeDesign #EngineeringInnovation #FutureTech #CAD #Automation #EngineeringSolutions
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🦴Did you know that as you grew up, an optimisation process naturally occurred within your body to make your bones more efficient? This might sound like science fiction, but it's exactly what Julius Wolff discovered in 1892. As we grow, our bones are obviously affected by various self-weight loads. Remarkably, the micro-structure and local stiffness of bones tend to adapt to these external loads. During this process, the structure tries to become as mechanically efficient as possible while minimizing mass. The same principles are applied in topology optimisation studies. The simulation solver attempts to reduce the mass of the component while maintaining the part's appropriate stiffness, enabling it to carry loads. This is the primary workflow in such optimisation studies, although other factors like stress, displacement, and natural frequency can also be minimized or maximized. As you've probably figured out by now, I'm explaining what topology optimisation is because, in a recent poll I conducted, some of you mentioned not knowing what it is... Well, now you know! 😉 The majority also voted for using the topology optimisation solver merely as a 'CAD idea generator.' The outcome is either used as inspiration or exported as an STL file. So, today, I'll show you how easy it is to convert topology-optimised results on 3DExperience into CAD form. In the attached video, the 'Concept Generation' window appears, and it's literally a matter of clicking the 'Generate' button. And why do this? Well, there are multiple advantages, but the main one is that we're dealing with a proper geometry definition that can be further edited, either natively on the platform or using some CAD package. Can your topology optimisation tool go from idea to native geometry in one click? 𝗙𝗼𝗹𝗹𝗼𝘄 𝗳𝗼𝗿 𝗶𝗱𝗲𝗮𝘀. 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗳𝗼𝗿 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 #Abaqus #Simulia #Optimisation #FiniteElementAnalysis #Biomechanics #ScienceAndTechnology #Engineering
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Are you looking to supercharge your CAD engineering productivity and accelerate your time-to-market? Don't miss Creo Chapter on-demand session, "Improve engineering productivity and time-to-market with AI-driven Generative Design." In this session, you'll learn how to: ✅ Rapidly explore innovative, manufacturable solutions. ✅ Challenge your own assumptions and deliver high-quality, lower-cost designs. ✅ Leverage the power of Creo Generative Design within the familiar Creo environment. Join Darrsan Raveendran and discover how Generative Design can help you deliver your best designs in less time. 📌 Watch on-demand now! #AI #Creo #CAD #Engineering
Improve engineering productivity and time-to-market with AI-driven Generative Design | PTC
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Working at the intersection of: 🤖 Graph ML/Deep Learning || 👀 Computer Vision || 🏛 Built Environment/Heritage || 🏗️ Construction Management (with BIM)
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