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基于感性意象的并条机造型设计
引用本文:段金娟,宣艾祺,袁博,李娜娜.基于感性意象的并条机造型设计[J].纺织学报,2022,43(4):160-166.
作者姓名:段金娟  宣艾祺  袁博  李娜娜
作者单位:1.天津工业大学 机械工程学院, 天津 3003872.拉夫堡大学 航空与车辆工程学院, 莱斯特郡 LE11 3TU3.天津工业大学 纺织科学与工程学院, 天津 300387
基金项目:天津市自然科学基金重点项目(18JCZDJC37000)
摘    要:为更准确地满足用户对纺织机械造型的感性需求,提升造型设计效率,基于感性工学和数量化理论I(QTI),以并条机为例展开设计与实验研究.首先,筛选、确定并条机代表性样本和典型感性意象词对,通过实验获取用户感性评价数据;其次,基于QTI建立并条机感性意象与造型设计要素之间的关联模型,以"繁琐-简约"语义维度为例,求解模型得到...

关 键 词:感性意象  数量化理论I  并条机  纺织机械  造型设计
收稿时间:2021-05-11

Drawing frame modeling design based on Kansei image
DUAN Jinjuan,XUAN Aiqi,YUAN Bo,LI Na'na.Drawing frame modeling design based on Kansei image[J].Journal of Textile Research,2022,43(4):160-166.
Authors:DUAN Jinjuan  XUAN Aiqi  YUAN Bo  LI Na'na
Affiliation:1. School of Mechanical Engineering, Tiangong University, Tianjin 300387, China2. Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire LE11 3TU, UK3. School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China
Abstract: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.
Keywords:Kansei image  quantification theory I  drawing frame  textile machinery  modeling design  
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