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作 者:施明娟 刘成霞[2] SHI Mingjuan;LIU Chengxia(School of Fashion Design&Engineering,Hangzhou 310018,China;Zhejiang Provincial Engineering Laboratory of Clothing Digital Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China)
机构地区:[1]浙江理工大学服装学院,浙江杭州310018 [2]浙江理工大学服装数字化技术浙江省工程实验室,浙江杭州310018
出 处:《染整技术》2023年第3期51-57,共7页Textile Dyeing and Finishing Journal
摘 要:为了探究面料性能与A字裙三维模型之间的关系,测试了15种典型面料的基础性能,并按照同一版型制成A字裙。利用手持式三维扫描仪获取点云数据,提取腰围、腹围、臀围的截面,并在截面曲线上以10°为步长确定角度线。利用相关分析和回归分析确定面料性能与截面角度线之间的相关性,并构建角度线预测模型。结果表明:面料性能对截面的宽厚比、面积的影响显著性较小,对截面不同位置处的角度线影响较大。面料的厚度、单位面积质量、纬向抗弯刚度与腰围截面部分角度线构成的回归预测模型拟合优度良好,通过GA-BP神经网络拟合的截面廓形与实际值误差在可接受范围内。研究结果可为A字裙面料选取及服装三维仿真提供参考。To investigate the relationship between fabric performance and the 3D model of A-line skirt,the fundamental performance of 15 typical fabrics was tested,and an A-line skirt based on the same pattern was created.A handheld 3D scanner was used to collect point cloud data,extract the cross-section of the waist,abdomen,and hip circumferences,and determine the angle lines on the cross-section curve in 10° increments.Correlation and regression analysis were utilized to determine the relationship between fabric performance and cross-sectional angle lines,as well as to construct the angle line prediction model.The results reveal that fabric performance has a less significant influence on the width-to-thickness ratio and area of the cross-section but a greater influence on the angle line at various positions of the cross-section.The regression prediction model consisting of fabric thickness,mass per unit area,weft flexural stiffness,and the angle line of the waistline section is well fitted,and the error between the section profile fitted by the GA-BP neural networks and the actual value is within an acceptable range.These findings can be used as a reference for A-line skirt fabric selection and 3D garment simulation.
关 键 词:面料性能 廓形 A字裙 曲线拟合 GA-BP神经网络
分 类 号:TS941.7[轻工技术与工程—服装设计与工程]
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