Computer-Aided Form Generation for Product Design

Abstract:

The product form design activities involve a high degree of uncertainty and complexity and are therefore not easily formulated, coded and regularized. Consequently, very few of the computer-aided design approaches presented in the literature can support the conceptual form design tasks typically performed at the preliminary stages of a product’s development cycle. To enable designers to perform their design activities more objectively and efficiently, this paper combines the principles of fuzzy set theory, the shape-blending method and genetic algorithms to generate a knowledge-based approach for product form design based upon a database describing the relationships between different product forms and their corresponding perceptual image evaluations.

• Periodical: Advanced Materials Research (Volumes 97-101)
• Pages: 3785-3788
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.97-101.3785
• Online since: March 2010
• Authors: Hung Cheng Tsai, Tien Li Chen, Hung Jung Tsai, Fei Kung Hung
• Keywords: Computer Aided Design (CAD), Form Generation, Fuzzy Set Theory, Genetic Algorithm (GA)

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