Search
Now showing items 1-4 of 4
LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The evolution of multimodal large language models (LLMs) capable of processing diverse input modalities (e.g., text and images) holds new prospects for their application in engineering design, such as the generation of 3D ...
A Predictive and Generative Design Approach for Three-Dimensional Mesh Shapes Using Target-Embedding Variational Autoencoder
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, we present a predictive and generative design approach for supporting the conceptual design of product shapes in 3D meshes. We develop a target-embedding variational autoencoder (TEVAE) neural network ...
Deep Learning Methods of Cross-Modal Tasks for Conceptual Design of Product Shapes: A Review
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Conceptual design is the foundational stage of a design process that translates ill-defined design problems into low-fidelity design concepts and prototypes through design search, creation, and integration. In this stage, ...
A Study on Generative Design Reasoning and Students' Divergent and Convergent Thinking
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Computer-aided design (CAD) is a standard design tool used in engineering practice and by students. CAD has become increasingly analytic and inventive in incorporating artificial intelligence (AI) approaches to design, ...