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织物折皱回复性表征方法研究进展 被引量:4

Progress on characterization method of fabric wrinkle recovery
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摘要 为全面准确地评价织物受力变形后折皱回复性能,分析了现阶段实验室折皱回复仪器测试和折皱主观评价法的方法及原理。针对现有织物折皱回复性测量精度低、效率低、准确度低等弊端,结合织物折皱回复性能的影响因素,进一步阐述了图像信息处理技术及折皱回复模型在折皱回复机理研究方面的应用,深入分析了织物折皱回复中物理力学指标回归模型和折皱形变能量耗散模型的研究现状和进展,对比分析不同流变模型的差异和适用局限对织物折皱回复性能表征的准确度影响,指出在未来的研究中应全面的准确地模拟真实的织物折皱变形回复过程,提高折皱回复评价的精度、准确性以及适用性,为进一步研究在热、湿、力等多变外界环境影响因素下织物折皱回复性能提供依据。 In order to comprehensively and accurately evaluate the recovery performance of the wrinkles after deformation of the fabric,the methods and principles of the laboratory wrinkle recovery instrument test and the wrinkle subjective evaluation method were analyzed.Aiming at the disadvantages of low reliability,efficiency and accuracy of existing fabric wrinkle recovery,combined with the influencing factors of fabric wrinkle recovery performance,the application of image information processing technology and wrinkle recovery model in wrinkle recovery mechanism research was further elaborated.The research status and progress of the physical and mechanical index regression model and the wrinkle deformation energy dissipation model in fabric wrinkle recovery were compared.The differences of different rheological models and the limitations of applicable limitations on the reliability of fabric wrinkle recovery performance were compared and analyzed.The research should comprehensively and accurately simulate the real fabric wrinkle deformation recovery process,improve the accuracy,accuracy and applicability of the wrinkle recovery evaluation,this will provide the basis for the further study of the fabric wrinkle recovery performance in the heat,humidity,force and other variable external environmental factors.
作者 赵娜娜 丁雪梅 ZHAO Nana;DING Xuemei(Fashion&Art Design Institute,Donghua University,Shanghai 200051,China;Key Laboratory of Clothing Design and Technology,Ministry of Education,Donghua University,Shanghai 200051,China)
出处 《毛纺科技》 CAS 北大核心 2019年第8期89-94,共6页 Wool Textile Journal
基金 东华大学非线性科学研究所项目(INS2018-3)
关键词 折皱 回复性 形变 图像 模型 表征方法 wrinkle recovery deformation image model characterization method
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