视觉意象协同功能限定的列车内装参数化造型设计研究
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摘要
目的探讨视觉意象协同功能限定的参数化造型设计方法,以便更高效地获取具体造型参数,并为基于感性工学的视觉意象设计深化提供参考。方法以功能限定为基础,综合列车内装设计的多种功能诉求,对造型设计参数的选择进行优化,通过设定极限值和中心细分的方法提高模型样本制作效率。结合感性工学的方法,统计实验数据解析主意象因子与视觉舒适度的回归关系,在此基础上利用视觉意象协同功能限定获取具体适用的造型参数。结论在实际造型设计中,效果最好的设计参数往往受到工艺、结构、成本等原因的制约,视觉意象协同功能限定的设计方法能够突破定性关系分析的局限,综合分析分值变化趋势,为获取更全面和准确的造型参数提供参考,提高用户视觉舒适度。
The work aims to explore the parametric design method of visual image collaborative function limitation,so as to effectively obtain more specific modeling parameters, and to provide reference for the deepening of visual image design based on Kansei Engineering. On the basis of function limitation, various functional requirements of train interior design were integrated to optimize the selection of design parameters, and the efficiency of model sample making was improved by setting the limit value and subdividing the center. Combined with the method of Kansei Engineering, the regression relationship between image factors and visual comfort was analyzed by statistical experimental data. On this basis, specific and applicable modeling parameters were obtained by visual image synergy function. In practical modeling design, the most effective design parameters are often constrained by process, structure, cost and other reasons. The design method of visual image collaborative function limitation can break through the limitation of qualitative relationship analysis, comprehensively analyze the trend of score change, provide a reference for obtaining more comprehensive and accurate modeling parameters, and improve users' visual comfort.
The work aims to explore the parametric design method of visual image collaborative function limitation,so as to effectively obtain more specific modeling parameters, and to provide reference for the deepening of visual image design based on Kansei Engineering. On the basis of function limitation, various functional requirements of train interior design were integrated to optimize the selection of design parameters, and the efficiency of model sample making was improved by setting the limit value and subdividing the center. Combined with the method of Kansei Engineering, the regression relationship between image factors and visual comfort was analyzed by statistical experimental data. On this basis, specific and applicable modeling parameters were obtained by visual image synergy function. In practical modeling design, the most effective design parameters are often constrained by process, structure, cost and other reasons. The design method of visual image collaborative function limitation can break through the limitation of qualitative relationship analysis, comprehensively analyze the trend of score change, provide a reference for obtaining more comprehensive and accurate modeling parameters, and improve users' visual comfort.
引文
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[2]HSIAO SW,CHIU FY,LU S H.Product-form Design Model Based on Genetic Algorithms[J].International Journal of Industrial Ergonomics,2010,40(3):237-246.
[3]徐江,孙守迁.基于遗传算法的产品意象造型优化设计[J].机械工程学报,2007,43(4):53-58.XU Jiang,SUN Shou-qian.Product Image Form Optimization Design Based on Genetical Gorithm[J].Journal of Mechanical Engineering,2007,43(4):53-58.
[4]苏建宁,江平宇.感性工学及其在产品设计中的应用研究[J].西安交通大学学报,2004,38(1):60-63.SUN Jian-ning,JIANG Ping-yu.Research on Kansei Engineering and Its Application to Product Design[J].Journal of Xi'an Jiaotong University,2004,38(1):60-63.
[5]罗仕鉴,李文杰.消费者偏好驱动的SUV产品族侧面外形基因设计[J].机械工程学报,2016,52(2):174-181.LUO Shi-jian,LI Wen-jie.Consumer Preference-driven SUV Product Family Profile Gene Design[J].Journal of Mechanical Engineering,2016,52(2):174-181.
[6]胡伟峰.用户期望意象驱动的汽车造型基因进化[J].机械工程学报,2011,47(16):176-181.HU Wei-feng.Automobile Styling Gene Evolution Driven by User's Expectation Image[J].Journal of Mechanical Engineering,2011,47(16):176-181.
[7]TJALVE E.A Short Course in Industrial Design[M].London:Butterworth&Co Ltd,1979.
[8]苏建宁,赵慧娟.基于支持向量机和粒子群算法的产品意象造型优化设计[J].机械设计,2015,32(1):158-163.SU Jian-ning,ZHAO Hui-juan.Product Image Form Optimization Design Based on Support Vector Machine and Particle Swarm Optimization[J].Journal of Machine Design,2015,32(1):158-163.
[9]张丙辰,过伟敏.基于关键点的儿童鼠标外形设计[J].机械工程学报,2012,48(15):158-163.ZHANG Bing-chen,GUO Wei-min.T Mouse Shape Design of Children Based on Key Point[J].Journal of Mechanical Engineering,2012,48(15):158-163.
[10]张丙辰,过伟敏.25G型铁路客车座椅设计研究[J].人类工效学,2012,18(2):62-65.ZHANG Bing-chen,GUO Wei-min.Research on Function and Comfort of Seat Design of 25G Railway Passenger Car[J].Chinese Journal of Ergonomics,2012,18(2):62-65.
[11]张丙辰,过伟敏.面向列车内装造型设计的旅客视觉意象研究[J].机械工程学报,2016,52(4):102-108.ZHANG Bing-chen,GUO Wei-min.Train's Interior Form Design Oriented Visual Image of Passenger Research[J].Journal of Mechanical Engineering,2016,52(4):102-108.
[12]高维.面向情绪设计的产品造型对顾客情绪及行为影响的研究[D].天津:天津大学,2011.GAO Wei.Design for Emotion:Emotional and Behavioral Consequences of Product Form[D].Tianjin:Tianjin University,2011.
[13]苏建宁.产品意象造型设计关键技术研究进展[J].机械设计,2013(1):97.SU Jian-ning.Review of Key Technologies of Product Image Styling Design[J].Journal of Mechanical Engineering,2013(1):97.
[14]甘怡群.心理与行为科学统计[M].北京:北京大学出版社,2005.GAN Yi-qun.Psychological and Behavioral Science Statistics[M].Beijing:Beijing University Press,2005.
[15]阳吉宝.数量化理论在确定滑坡稳定性影响因素中的应用[J].数据统计与管理,1995,14(2):7-11.YANG Ji-bao.Application of the Theory of Quantification in Determining the Affecting Factors of Landslide Stability[J].Data Statistics and Management,1995,14(2):7-11.
[16]张丙辰,王艳群.视觉意象与列车内装产品造型特征元素的关联研究[J].包装工程,2017,38(14):32-36.ZHANG Bing-chen,WANG Yan-qun.Relationship between Visual Image and Morphological Feature Elements of Passenger TrainInterior's Product[J].Packaging Engineering,2017,38(14):32-36.