• 文献标题:   Functional dyeable polypropylene fabric development and process parameter optimization. Part II: Development of graphene thermal insulation dyeable polypropylene fabric with process parameter optimization
  • 文献类型:   Article, Early Access
  • 作  者:   CHEN SH, KUO CFJ
  • 作者关键词:   dyeable polypropylene fabric, farinfrared temperature rise, antistatic resistance, taguchi method, gray relational analysi
  • 出版物名称:   TEXTILE RESEARCH JOURNAL
  • ISSN:   0040-5175 EI 1746-7748
  • 通讯作者地址:  
  • 被引频次:   0
  • DOI:   10.1177/00405175221147720 EA MAR 2023
  • 出版年:   2023

▎ 摘  要

This series of studies developed a nanographene modified dyeable polypropylene yarn with far-infrared properties making it suitable for winter clothing fabrics. In this paper, part II, the dyeable polypropylene granules developed in part I are used as a base material and, with the addition of graphene nanopowder, melt-mixed and melt-spun to produce 75 d/24 f fully drawn yarn. The physical properties of the yarn, namely, yarn count, tensile strength, elongation at break, far-infrared emissivity, and far-infrared temperature rise, are investigated, and the impact of the melt-spinning process parameters, namely, graphene nanopowder content, mold temperature, melt temperature, gear pump speed, hot roller speed and take-up speed on the quality of the yarn, is determined. The Taguchi method, combined with gray relational analysis, is used to design experiments through which an optimal set of melt-spinning process parameters maximizing the multi-characteristic quality of the yarn is obtained. This optimized nanographene modified dyeable polypropylene yarn has a tensile strength of 3.5 g/d, elongation at break of 41.0%, yarn count of 75.3 d, far-infrared emissivity of 82%, far-infrared temperature rise of 21.0 degrees C, washing fastness grade of 3-4 and surface resistance of 3 x 10(8) omega.