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首页> 外文期刊>Journal of Advanced Mechanical Design, Systems, and Manufacturing >Application of Kansei Engineering and Box-Behnken response surface methodology for shape parameter design: A case study of wine glass
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Application of Kansei Engineering and Box-Behnken response surface methodology for shape parameter design: A case study of wine glass

机译:Kansei Engineering和Box-Behnken响应面方法在形状参数设计中的应用:以酒杯为例

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摘要

Product appearance has become a more important influence on customers' preference in regards to product purchase. Not only do customers take into account functionality and cost, but also on aesthetic and affection value. Kansei engineering (KE) utilizes a product design methodology which translates a customers' perception regarding feeling and emotion on appearance of a product into a product's design parameters. This study applied KE methodology to determine customer emotion on the shape of wine glasses and the optimal precise design parameters to obtain customer satisfaction. This study was performed using a four-factor and three-level Box-Behnken design under response surface methodology (RSM). The data obtained from the experiments were analyzed by analysis of variance. Furthermore, the data was fitted to a second-order polynomial equation using multiple regression analysis. The effects of four parameters of wine glass, namely the rim's width (A ), the bowl's width (B ), the bowl's height (C ) and the stem's height (D ) on the surface potential of five Kansei words, namely modern, quality, durable, ease of drinking and ease of handle were examined. The optimal model of wine glass design was controlled at A =90 mm, B =61.82 mm, C =126.67 mm and D =61.97 mm, respectively. The results of RSM indicate that the proposed shape design models can interpret all of customers' emotion about a product which in this case is a wine glass. Finally, this study provides useful understanding for shape parameter design and this method can be applied to a variety of design cases.
机译:产品外观已成为影响客户购买产品偏好的重要因素。客户不仅要考虑功能和成本,还要考虑美学和情感价值。 Kansei Engineering(KE)利用一种产品设计方法,将客户对产品外观上的感觉和情感的感知转换为产品的设计参数。这项研究应用KE方法来确定客户对酒杯形状的情感以及最佳的精确设计参数以获得客户满意度。这项研究是在响应面方法(RSM)下采用四因素和三级Box-Behnken设计进行的。从实验获得的数据通过方差分析进行分析。此外,使用多元回归分析将数据拟合为二阶多项式方程。酒杯的四个参数的影响分别是杯圈的宽度( A),碗的宽度( B),碗的高度( C)和茎的高度( D)考察了五个Kansei单词的表面潜力,即现代性,质量,耐用性,易饮性和易操作性。酒杯设计的最佳模型分别控制在A = 90毫米,B = 61.82毫米,C = 126.67毫米和D = 61.97毫米。 RSM的结果表明,建议的形状设计模型可以解释所有顾客对某种产品的情感,在这种情况下,这种产品是酒杯。最后,该研究为形状参数设计提供了有用的理解,并且该方法可以应用于各种设计案例。

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