The Future of Auto Manufacturing: AI Driven Design

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Published 2023-07-22
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The Czinger 21C hypercar concept incorporates a revolutionary brake node, a combination of braking system and suspension upright, using Divergent 3D's DAPS system. DAPS utilizes Metal Additive Manufacturing and generative design powered by AI to create highly optimized structures. Generative design explores numerous solutions based on defined parameters, producing innovative designs. It can optimize parts while considering various constraints and objectives.

Generative design methods include Cellular Automata, Genetic Algorithms, Shape Grammar, L-Systems, and Agent-Based Models. Cellular Automata use mathematical models with discrete cells and predefined rules to create emergent patterns. Genetic Algorithms simulate natural selection to evolve solutions in iterative generations. Shape Grammar employs a vocabulary of basic shapes and rules to create diverse designs. L-Systems model growth and complex structures using symbols and iterative rules. Agent-Based Models simulate interactions of autonomous agents, producing emergent patterns and system-level dynamics.

These generative design methods find application in various industries, including architecture, automotive, and aesthetics. They help optimize components, such as connecting rods, lattice patterns, taillights, and suspension systems, improving performance while reducing weight. However, the use of generative design is still developing, with advancements in AI and computational models continually expanding its capabilities.

In the future, AI-driven generative design could revolutionize engineering and design processes, surpassing human capabilities and rapidly producing highly efficient and complex designs. It has the potential to redefine the roles of engineers and designers, leading to more innovative and optimized products in various fields.

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AutoDesk - @Autodesk
Softology - @Softology

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All Comments (21)
  • We're about to finally have the weird organo-metallic futuristic stuff we always wanted,
  • @ToyotaKTM
    This reminds me of my workshop. Every time I get a new hand tool or power tool, I wonder how I ever, did without it. Each new tool, either improves my projects or reduces their fabrication time. AI is going to add many, new and use full tools, to a designers toolbox.
  • @Rawi888
    Dude, the amount of hard work and passion that goes into your work is noticed and HIGHLY appreciated.
  • As a designer, working in civil jet engine devellopement, i can tell you this is future. And by future, i mean FAR future. Like a whole generation, may be two. But it's a thing we already look at....
  • 16:22 Nurburgring suspension tuning at home. If you have a simulator with some form of AI driving like Assetto Corsa and an accurate enough aero/weight transfer model you could build the ultimate suspension geometry, spring rate, shock setup, and alignment. Do the tests with varying seat and trunk loads in various weather conditions. Tire wear, grip, and air pressure could also be randomized to test stability in un optimal conditions.
  • Love this video so muchhh! I'll re watch to make notes from this video lecture:) Mind opening, FULLY contextual, well build arguments and reasoning is put in this video without which content like this becomes news! I hope more creators put efforts like him...
  • I can see the work that went into making this stuff look quasi-simple. Really nice. I work as a computational design architect, and it takes sooooo long to make visual explainations that convey these techniques in an interesting, non technical way that goes juuust deep enough to get the point across. Generative design solutions take a lot of investment for research on the front end, and so having a clear explaination of what you're trying to accomplish with the fancy new computer algorithms is really powerful. Thanks again! keep it up.
  • @DigitalJedi
    Generative design is awesome when it can be used correctly. If you look at a close-up die shot of modern computer chips, you'll see branching structures in some areas connecting blocks of logic. These are connections and logic made by generative algorithms. The most obvious example I can think of is the cache structure of Zen4C's tiny cores.
  • This is just the old but gold Topology optimization. AI can just be used to speed up the process, but AI is the hot thing this days, so...
  • Very well done. It gave me a more clear sense of how generative functions are designed and what results can occur.
  • @IllIl
    Very cool! Apart from anything else, the aesthetics of those organic looking parts is just delicious.
  • @NomenNescio99
    I did a little bit of genetic algorithms as well as cellular automata when I studied CS at uni, I can understand why these has not been widely used until know due to large computing requirements associated with their use.
  • @ab8jeh
    Nice vid as always. However, this is known as topology optimization and has been around for at least 30 years+. See Bendsøe and Sigmund's book from 2003 that summarises the techniques. It isn't really AI, unless you employ a very broad usage of the term much like conpanies like Autodesk have done to jump on the buzzword bandwagon.
  • @CaseyJScalf
    This Hass to be one of my favorite videos I've seen in quite some time! So many great topics covered in the visual representations are top-notch.
  • Really gorgious presentation and well documented. The amount of effort and the choice of subject is a marvell piece..
  • @4bangerlove
    Notice how the parts look like muscular structures
  • @Zale370
    00:00 The Zinger 21C hypercar concept represents a milestone in Divergent 3D's goal to mass-produce vehicles with limited or no direct tooling in a fully digital end-to-end integrated system called the Divergent adaptive production system (dapps). 01:10 Divergent 3D uses AI-driven generative design to rapidly create complex and highly optimized structures for their vehicles. 02:32 Designers still play a critical role in defining design goals, interpreting the generated results, and incorporating their creativity and domain expertise into the final design. 03:41 Generative design allows for the production of optimized part designs more rapidly than traditional design processes. 05:16 Generative design can be implemented using different computational approaches, including cellular automata, genetic algorithms, shape grammar, L-systems, and agent-based models. 09:30 Genetic algorithms are effective for optimizing part designs by evaluating fitness based on weight reduction, structural integrity, and manufacturability. 12:04 Shape grammar is well-suited for aesthetic design exploration and repeated structure designs. 13:12 L-systems are used to model the growth and development of complex structures and can be applied to various design domains. 15:45 Agent-based models simulate the behavior and interactions of autonomous agents within a system, allowing for the generation of unique and creative designs. 17:25 Generative design technology is still in its infancy, with various computational models being explored, including neural network-based models and swarm intelligence-based models. 18:23 AI has the potential to completely revamp how entire industries operate, particularly in the world of design, by bringing about once unimaginable capabilities and redefining the roles of engineers and designers.
  • It might be interesting to incorporate the growth patterns of small polyp Stoney corals into the generative models. Acropora and Montipora species can be both plating and branching in the same species especially when building a base foundation level. A basing growth pattern will be preferable in early growth stages to produce enough support before branching is prioritised. It is interesting because basing phases have less overall external surface area limiting the ability to intake mineral and nutrients from the water column when compared to the branches which have many more surfaces for polyps to receive the minerals and nutrients they need. Corals are also interesting as they are fauna that incorporate flora for additional energy and nutrient production. Could it be possible to grow buildings in the future that have both solar and water utilisation that can work to more effectively and efficiently become homes for humans? Even have some kind of computational system built into its own pattern of creation so as the structure grows the computational system grows in conjunction with the habitable space.
  • @chris_hisss
    This is absolute poetry. Well done. These concepts are so exciting as to the potential.