How can I improve generative design in product prototyping using Generative AI models for structural engineering applications

Question

Can you tell me How can I improve generative design in product prototyping using Generative AI models for structural engineering applications?

Answer 1

To improve generative design in product prototyping for structural engineering, integrate topology optimization, physics-informed neural networks (PINNs), and AI-driven multi-objective optimization to enhance structural efficiency and manufacturability.

Here is the code snippet you can refer to:

In the above, we are using the following key points:

• Topology Optimization: Uses the Solid Isotropic Material with Penalization (SIMP) method for optimizing material distribution.
• Structural Efficiency: Iteratively adjusts the density field to improve structural performance.
• Volume Constraint Maintenance: Ensures the material remains within the allowable volume fraction.
• Visualization: Displays the optimized material layout to analyze load distribution.
• AI-Driven Refinement: Can be extended with neural networks for adaptive learning-based design generation.

Hence, by integrating AI-driven topology optimization and multi-objective structural analysis, we enhance generative design in product prototyping, ensuring optimal material distribution and improved manufacturability.