机械制造与自动化Issue(5)：200-203,208,5.
基于感性工学方法的产品设计分析
Analysis of Product Design Based on Kansei Engineering Methods
蒋颖姿 1陈炳发1
作者信息
- 1. 南京航空航天大学 机电学院，江苏 南京210016
- 折叠
摘要
Abstract
Based on the Kansei engineering theory, this paper does the quantization research on the Kansei image of industrial products, establishes the evaluation matrix of product design elements and Kansei images using the statistical method, and builds the correlation model of product forms’ elements and Kansei images by use of BP neural network algorithm, to work out the scheme of guiding the product form design under some specific purpose. Taking chair furniture as an example, with embod-ying the Jiangnan region culture as the goal, this paper uses BP neural network algorithm for training, simulating and predicting with MATLAB computer software, so that eventual y it works out the scheme of guiding the chair design. lt also quantizes the Kansei image systematical y makes the perceptual demand oriented product design be of more scientific and practical guiding significance and provies a design method for developing more products in line with the users’ perceptual demand and market competition.关键词
感性工学/BP人工神经网络算法/感性需求/产品设计Key words
kansei engineering/BP neural algorithm/psychological needs/product design分类
信息技术与安全科学引用本文复制引用
蒋颖姿,陈炳发..基于感性工学方法的产品设计分析[J].机械制造与自动化,2015,(5):200-203,208,5.
