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机构地区:[1]浙江大学现代工业设计研究所,浙江杭州310027
出 处:《浙江大学学报(工学版)》2009年第2期283-289,共7页Journal of Zhejiang University:Engineering Science
基 金:国家自然科学基金资助项目(60475025);浙江省科技计划资助项目(2006C11235)
摘 要:为明确产品材料质感与产品意象的关系,运用感性工程技术将消费者对产品的材料感性认知因素量化.以典型的塑料材料为例,在以塑料实物为样本进行实验的基础上,综合运用多元尺度法、聚类分析法、因子分析法等统计学分析方法处理实验数据,对塑料材料的质感意象进行了研究.建立了由感官评价因子和效用因子构成的二维材料质感意象认知空间;发现材料质感意象感官评价因子的主要影响因素是透明度,效用因子的主要影响因素是特殊效果添加剂.建立了材料质感意象模型,以此为基础开发了计算机辅助材料质感意象设计软件,并在实际产品设计中加以验证.To identify the relationship between product material texture and product mental image, Kansei engineering was used to quantify the consumers' mental cognizance of material texture, and plastic was taken as a study case. Experiments were conducted on the plastic specimens. The multidimensional scaling method, factor analysis method and cluster analysis method were adopted to deal with the experimental data. The results showed that the product material texture image perception space is formed by two dimensions: sensory evaluation factor and utility factor, and the plastic material texture image is composed of transparency, special artistic effect additive, surface texture, and color. The main element that affects the sensory evaluation factor is transparency, while the special artistic effect additive largely affects the utility factor. Furthermore, a product material texture image model was founded, through which a computer aided texture image designing tool was developed and verified in the practical product design.
分 类 号:TH122[机械工程—机械设计及理论] TP391[自动化与计算机技术—计算机应用技术]
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