Generative Design uses AI to come up with multiple design variations for products or parts. This leads to faster generation of design options than would be developed through manual design, which leads to faster product development times and more creative choices to select from
Generated Outcomes can take different forms, including: Additive, Subtractive, or Casting. Give designers significant parts of their time back to innovate, by taking a lot of the mundane work (e.g. compliance, safety) and let it automated by the machine
Understand the Use-case under 5 minutes
Video (3 minutes)
Hear from Autodesk Product Managers, Racel Williams and Sol Amour, on the future of design and how AI-based Generative Design can help free designers to innovate more
WatchArticle (10 minutes)
Discusses how Generative Design meets Machine Learning to save both time and money—all while making out-of-this-world creations. Talks about how AutoDesk used AWS to create ML models to guide the designer towards designs that share certain common characteristics
ReadGet to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
Article (8 minutes)
The problems of traditional design cycles and how AI-based generative design provides shorter design cycles, by automating many of the tedious processes that create bottlenecks. Includes 2 case studies
VisitArticle (12 minutes)
In this comprehensive guide, find out how generative design works, learn about its benefits, applications, and the important role 3D printing plays in bringing its incredible design to life. Explore real-life case studies & practical tips
VisitArticle (14 minutes)
A deeper introduction to AI-based Generative Design, featuring examples from Airbus, NASA, Hyundai, and others. Expands on areas where GM would excel most, and if it will replace designers
ReadCase studies, Organizational Aspects, Return on Investment examples
Case Study + Video
GM used Generative Design to create 150 new design ideas for a seat bracket, an important part used to ensure seat belts are fastened. The selected new part turned out to be 40% lighter and 20% stronger than the original part
ReadCase Study + Video
Under Armour combined generative design technology with advanced additive manufacturing to create a “superhybrid” trainer. A shoe that is flexible yet stable, with cushioning and support for all types of athletic training
ReadCase Study + Video
Lightning is now aiming to make the LS-218 even faster by deploying new generative design methods. Output matched its original counterpart in 4 of the 5 load cases, with the 5th outperforming by as much as 55%
ReadMore details on the technical aspects of the use-case
Article (12 minutes)
How Autodesk designed, trained, and debugged a Machine Learning model with SageMaker to support its Visual Similarity Search feature of the Generative Design solution
VisitTechnical resources that will help you implement the use-case (notebooks, tutorials..)
Article (12 minutes)
Provides a technical description of how to use a text encoder to extract features from a textual description and a 3D decoder to produce designs
VisitGithub Repo
Github code for this article. Generates 3D models from text input to increase the speed and efficacy of the design process
VisitGithub Repo
Exercice to design a metal-fdm printed join for a space frame, aimed at a table, using AutoEncoder and visualizing latent variables
VisitCourse
The sequence of three courses provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach.
VisitData Sets you can use to build Demos, POCs, or test Algorithms
Stay tuned!
Off-the-Shelf Products using AI for Generative Design
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This is simply phenomenal!
Thank you