Product Bionics Form Design Based on Users’ Kansei Image
| Periodical | Applied Mechanics and Materials (Volumes 37 - 38) |
|---|---|
| Main Theme | Advances in Engineering Design and Optimization |
| Edited by | Yi-Min Deng, Aibing Yu, Weihua Li and Di Zheng |
| Pages | 910-914 |
| DOI | 10.4028/www.scientific.net/AMM.37-38.910 |
| Citation | Lei Ding et al., 2010, Applied Mechanics and Materials, 37-38, 910 |
| Online since | November, 2010 |
| Authors | Lei Ding, Jian Ming Che, Xiao Fei Dong |
| Keywords | Bionics Form Design, Clustering Analysis (CA), Fuzzy Evaluation, Kansei Engineering, Semantic Differential Method |
| Price | US$ 28,- |
Based on users’ kansei image and kansei engineering theory, a method on product bionics form design is presented. Firstly, users’ kansei information about product and bionics objects is extracted from semantic differential method, which is the basic standard for determination of the best bionics object. Then by adopting clustering analysis and fuzzy comprehensive evaluation, the product form features and bionics objects’ main features are acquired and combined to design products. Finally, the optimal design is selected through comprehensive evaluation. As an example, case of intelligent electric rice cooker design indecates that this method is valid and practical.