Quantitative Research on Thermal Performance of Ready-To-Wear Apparel Based on Analytic Hierarchy Process Model
DOI:
https://doi.org/10.54097/vc5b0181Keywords:
Analytic Hierarchy Process, Thermal Insulation Capability, Quantitative Analysis.Abstract
This work primarily focuses on quantifying the thermal insulation ability of fibers through modeling. The study establishes a comprehensive insulation evaluation index (CWI) with six variables derived from three dimensions: thermal conductivity, air content and structural properties, humidity, and permeability. The normalized weights of each variable are calculated using the Analytic Hierarchy Process model. The consistency ratio (CR) of pairwise comparison matrices is significantly less than 1, indicating good consistency in the pairwise comparison model. Additionally, the relationship between the thermal insulation performance of polyester fibers and their average length and diameter is considered. By analyzing how the parameters in the model are influenced by fiber length and diameter, adjustments are made to the model parameters. The conclusion is drawn that fibers with shorter average length and smaller diameter tend to have stronger thermal insulation performance. Finally, the microstructure of cotton and down feathers is studied to further refine the model parameters, and it is determined that down feathers exhibit the best thermal insulation performance, followed by polyester and cotton, with no significant difference between the latter two. The aim of this paper is to address the gap in previous research regarding the quantitative analysis of fiber thermal insulation capabilities. By accurately assessing the thermal insulation effects of fibers filled within garments, this study provides a scientific basis for clothing design and material selection.
Downloads
References
Muthukumar K, Sabariraj R V, Kumar S D, et al. Investigation of thermal conductivity and thermal resistance analysis on different combination of natural fiber composites of banana, pineapple and jute[J]. Materials Today: Proceedings, 2020, 21: 976-980.
Yang Y, Yu X, Chen L, et al. Effect of knitting structure and yarn composition on thermal comfort properties of bi-layer knitted fabrics[J]. Textile research journal, 2021, 91(1-2): 3-17.
Veerasimman A, Shanmugam V, Rajendran S, et al. Thermal properties of natural fiber sisal-based hybrid composites–a brief review[J]. Journal of Natural Fibers, 2022, 19(12): 4696-4706.
Pasayev N, Tekoglu O. The use of chicken feather fibers as filling material in Winter clothes for heat insulation purposes[J]. International Journal of Clothing Science and Technology, 2019, 31(2): 259-271.
Abbasi S A, Marmaral A, Ertekin G. Thermal comfort properties of weft knitted quilted fabrics[J]. International Journal of Clothing Science and Technology, 2020, 32(6): 837-847.
Yang T, Xiong X, Petrů M, et al. Theoretical and experimental studies on thermal properties of polyester nonwoven fibrous material[J]. Materials, 2020, 13(12): 2882.
Vasanth Kumar D, Raja D. Study of thermal comfort properties on socks made from recycled polyester/virgin cotton and its blends[J]. Fibers and Polymers, 2021, 22: 841-846.
Hassan M. Evaluation of the Moisture and Thermal Characteristics of Knitted Sport Wear Fabrics[J]. MEJ-Mansoura Engineering Journal, 2020, 34(2): 8-23.
Thakkar J J, Thakkar J J. Analytic hierarchy process (AHP)[J]. Multi-Criteria Decision Making, 2021: 33-62.
Tavana M, Soltanifar M, Santos-Arteaga F J. Analytical hierarchy process: revolution and evolution[J]. Annals of operations research, 2023, 326(2): 879-907.
Downloads
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.