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The Czinger 21C hypercar concept features a revolutionary braking node, combining a braking system and an upright suspension, using Divergent 3D's DAPS system. DAPS uses Metal Additive Manufacturing and generative design, powered by AI, to create highly optimized structures. Generative design explores numerous solutions based on defined parameters, creating innovative designs. It can optimize components considering different constraints and objectives.
Generative design methods include cellular automata, genetic algorithms, shape grammars, 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 develop solutions in iterative generations. Shape Grammar uses a vocabulary of basic shapes and rules to create various designs. L-Systems models growth and complex structures using symbols and iterative rules. Agent-based models simulate interactions of autonomous agents and produce emergent patterns and dynamics at the system level.
These generative design methods find application in various industries, including architecture, automotive and aesthetics. They help optimize components, such as connecting rods, trellis patterns, taillights and suspension systems, improving performance and reducing weight. However, the use of generative design is still evolving, with the capabilities of AI and computational modeling continually expanding.
In the future, AI-driven generative design could revolutionize engineering and design processes, surpassing human capabilities and quickly 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 areas.
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AutoDesk – @Autodesk
Softology – @Softology
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