Drawing frame modeling design based on Kansei image

被引：0
|
作者：
Duan J. [1 ]
Xuan A. [1 ]
Yuan B. [2 ]
Li N. [3 ]
机构：
[1] School of Mechanical Engineering, Tiangong University, Tianjin
[2] Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire
[3] School of Textile Science and Engineering, Tiangong University, Tianjin
来源：
Fangzhi Xuebao/Journal of Textile Research | 2022年 / 43卷 / 04期
关键词：
Drawing frame; Kansei image; Modeling design; Quantification theory I; Textile machinery;
D O I：
10.13475/j.fzxb.20210502307
中图分类号：
学科分类号：
摘要：
Based on Kansei engineering and quantification theory I (QTI), the proposed paper took the drawing frame as an example to carry out design and experimental research in order to meet users' perceptual needs for textile machinery modeling and improve modeling design efficiency and optimize recommendation. Representative samples and Kansei antonym words of the drawing frame were selected and determined, and the users' Kansei evaluation data were obtained through experiments. Based on QTI, the mapping models between Kansei image of the drawing frame and the modeling design elements were established. Taking the "cumbersome-simplicity" semantic dimension as an example, modeling design recommendation strategies were obtained. Through design practice and user evaluation, the accuracy and reliability of the correlation model were verified. The results show that the drawing frame correlation model based on Kansei engineering and QTI has prediction accuracy and reliability, and it can provide designers with more accurate and specific design strategy recommendations, improve design efficiency and users' satisfaction. © 2022, Periodical Agency of Journal of Textile Research. All right reserved.
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页码：160 / 166
页数：6
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