Title page for etd-0721126-140130


URN etd-0721126-140130 Statistics This thesis had been viewed 4 times. Download 0 times.
Author Kuei-ling Lin
Author's Email Address a0903684210@gmail.com
Department Institute Of Mechanical Engineering
Year 2025 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 49
Title Optimization of Thermal Insulation Performance of Hand-Crocheted Fabrics Using the Taguchi Method
Keyword
  • ANOVA
  • signal-to-noise ratio
  • thermal insulation performance
  • hand-crocheted fabrics
  • Taguchi method
  • Taguchi method
  • hand-crocheted fabrics
  • thermal insulation performance
  • signal-to-noise ratio
  • ANOVA
  • Abstract This study systematically investigates the thermal insulation performance of hand-crocheted fabrics, with the aim of establishing a quantitative evaluation and optimization framework based on engineering analysis. In recent years, with the increasing demand for energy-efficient thermal insulation and functional textiles, hand-crocheted fabrics, characterized by their highly adjustable structural configurations, have attracted growing attention. However, compared with machine-manufactured textiles, the thermal insulation performance of handmade crochet is influenced by multiple parameters and is still largely based on empirical judgment, lacking rigorous quantitative analysis and theoretical validation.
    In this study, the Taguchi method was employed as the experimental design approach. Three key factorsˇXyarn material, stitch type, and yarn diameterˇXwere selected, and an L9 orthogonal array was applied to reduce experimental cost while maintaining analytical efficiency. For performance evaluation, a dynamic cooling method was developed to establish a thermal insulation assessment procedure. The temperature difference within a fixed time interval was defined as the performance index to characterize the thermal resistance of the fabric.
    The experimental results indicate that different parameter combinations have a significant effect on thermal insulation performance. Based on the signal-to-noise (S/N) ratio analysis, the optimal parameter combination was identified as wool yarn, double crochet, and medium yarn diameter. Furthermore, analysis of variance (ANOVA) reveals that stitch type is the most influential factor, with a contribution of 50.70%, indicating that the geometric structure of the fabric plays a dominant role in governing heat transfer behavior.
    Overall, the results demonstrate that the thermal insulation performance of hand-crocheted fabrics is primarily governed by structural design parameters, including thickness, porosity, and the distribution of trapped air layers, with a greater impact than the intrinsic thermal properties of the material. This study successfully establishes an integrated evaluation framework combining Taguchi experimental design, dynamic cooling measurement, and heat transfer analysis. The findings provide valuable references for the engineering design of handmade thermal textiles and the development of functional textile materials.
    Advisor Committee
  • Cheng-Kuang Huang - advisor
  • Kun-Ling Wu - co-chair
  • Tsai-Cheng Li - co-chair
  • Files indicate access worldwide
    Date of Defense 2026-07-14 Date of Submission 2026-07-21

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