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Deep Generative Models in Engineering Design: A Review
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Automated design synthesis has the potential to revolutionize the modern engineering design process and improve access to highly optimized and customized products across countless industries. Successfully adapting generative ...
Multi-Objective Counterfactuals for Design: A Model-Agnostic Counterfactual Search Method for Multi-Modal Design Modifications
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Designers may often ask themselves how to adjust their design concepts to achieve demanding functional goals. To answer such questions, designers must often consider counterfactuals, weighing design alternatives, and their ...
BIKED: A Dataset for Computational Bicycle Design With Machine Learning Benchmarks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, we present “BIKED,” a dataset composed of 4500 individually designed bicycle models sourced from hundreds of designers. We expect BIKED to enable a variety of data-driven design applications for bicycles and ...