Multi-factor Coupling Design Based on Aesthetic Measure, Ergonomics, and Performance

Abstract

Traditional design processes mainly consider functions and performances, without other factors like aesthetics, and are therefore unable to satisfy comprehensive demands. To solve this problem, an automatic multi-factor coupling design method is proposed. Aesthetics, ergonomics and key performances are considered and coupled in an intelligent way. First, based on theory and formula of aesthetic measure, the scores for aesthetic dimensions are calculated. Scores of ergonomic comfort and performance are also calculated from formula. Multi-factor scores are combined with weights calculated by rough hierarchical process, and genetic algorithm with adaptive boundary is utilized to solve the design optimization problem. Optimized design and innovative design are both considered in the process. Finally, the results are transferred into 3D models with NX10.0 integrated parameter interface. The form design of bicycle is used as an example to illustrate the proposed method. According to results, optimized design and multiple innovative designs can be obtained effectively. With this method, product design with multiple factors are realized properly.