Computational Design Methods in Product Design: Exploring the Integration of Design Theory and Computer Science

Abstract

Traditional product design methods can no longer meet practical needs with the rapid development of artificial intelligence technology. Aiming at the problems of strong subjectivity and low efficiency in traditional product design methods, this study proposes a product form evolution design scheme by integrating machine learning algorithms and theme network models from the perspective of product user needs. The results show that the product form evolution design method proposed in the study is effective, with an absolute sample error of less than 0.12 and an average accuracy improvement of 2%. The results of the product form optimization design example show that the product size, weight, appearance design, functional layout, portability, and durability designed using the research scheme are superior to traditional methods, meeting the constraint requirements and proving the feasibility of the research scheme. The research has important application value in product innovation design in various fields.