Generative Design in Aerospace and Automotive Structures

<div class="section abstract"><div class="htmlview paragraph">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.</div><div class="htmlview paragraph"><b>Generative Design in Aerospace and Automotive Structures</b> discusses generative design in its broadest sense, including the challenges and recommendations regarding multi-stage optimizations.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a>^TM<a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>