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.