Generative Design in Aerospace and Automotive Structures

EPR2024016

07/23/2024

Authors Abstract
Content
Semi-automated computational design methods involving physics-based simulation, optimization, machine learning, and generative artificial intelligence (AI) already allow greatly enhanced performance alongside reduced cost in both design and manufacturing. As we progress, developments in user interfaces, AI integration, and automation of workflows will increasingly reduce the human inputs required to achieve this. With this, engineering teams must change their mindset from designing products to specifying requirements, focusing their efforts on testing and analysis to provide accurate specifications.
Generative Design in Aerospace and Automotive Structures discusses generative design in its broadest sense, including the challenges and recommendations regarding multi-stage optimizations.
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DOI
https://doi.org/10.4271/EPR2024016
Pages
26
Citation
Muelaner, J., "Generative Design in Aerospace and Automotive Structures," SAE Research Report EPR2024016, 2024, https://doi.org/10.4271/EPR2024016.
Additional Details
Publisher
Published
Jul 23
Product Code
EPR2024016
Content Type
Research Report
Language
English