Volume 1, Issue 3
An Overview on Computational Techniques in Textile Engineering

Lijing Wang

Journal of Fiber Bioengineering & Informatics,1 (2008), pp. 177-184

Published online: 2008-01

Preview Purchase PDF 1 848
Export citation
  • Abstract

This paper discusses a number of computational problems in textile/garment industry. These problems cover quality inspection of textile products, on-line process control and monitoring, process and material modeling and simulation, CAD for clothing and materials, and computerized management of production and supply chain. Recently, more attention has been paid to modeling and analysis of human related complex concepts such as well-being, textile comfort and marketing elements and their integration in the design of new products. The related computational techniques include classical methods such as statistics, physical law based analytical equations, classical signal and image processing and statistical pattern recognition, and intelligent techniques such as soft computing and data mining. The selection of specific computational techniques is strongly related to the nature of the problem of interest. An optimal solution to a complex textile or garment problem can be found by combining several complementary techniques in a suitable way.

  • Keywords

computational techniques textile garment intelligent techniques complex concepts industrial design

  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{JFBI-1-177, author = {Lijing Wang}, title = {An Overview on Computational Techniques in Textile Engineering}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2008}, volume = {1}, number = {3}, pages = {177--184}, abstract = {This paper discusses a number of computational problems in textile/garment industry. These problems cover quality inspection of textile products, on-line process control and monitoring, process and material modeling and simulation, CAD for clothing and materials, and computerized management of production and supply chain. Recently, more attention has been paid to modeling and analysis of human related complex concepts such as well-being, textile comfort and marketing elements and their integration in the design of new products. The related computational techniques include classical methods such as statistics, physical law based analytical equations, classical signal and image processing and statistical pattern recognition, and intelligent techniques such as soft computing and data mining. The selection of specific computational techniques is strongly related to the nature of the problem of interest. An optimal solution to a complex textile or garment problem can be found by combining several complementary techniques in a suitable way.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbi12200802}, url = {http://global-sci.org/intro/article_detail/jfbi/5038.html} }
TY - JOUR T1 - An Overview on Computational Techniques in Textile Engineering AU - Lijing Wang JO - Journal of Fiber Bioengineering and Informatics VL - 3 SP - 177 EP - 184 PY - 2008 DA - 2008/01 SN - 1 DO - http://dor.org/10.3993/jfbi12200802 UR - https://global-sci.org/intro/article_detail/jfbi/5038.html KW - computational techniques KW - textile KW - garment KW - intelligent techniques KW - complex concepts KW - industrial design AB - This paper discusses a number of computational problems in textile/garment industry. These problems cover quality inspection of textile products, on-line process control and monitoring, process and material modeling and simulation, CAD for clothing and materials, and computerized management of production and supply chain. Recently, more attention has been paid to modeling and analysis of human related complex concepts such as well-being, textile comfort and marketing elements and their integration in the design of new products. The related computational techniques include classical methods such as statistics, physical law based analytical equations, classical signal and image processing and statistical pattern recognition, and intelligent techniques such as soft computing and data mining. The selection of specific computational techniques is strongly related to the nature of the problem of interest. An optimal solution to a complex textile or garment problem can be found by combining several complementary techniques in a suitable way.
Lijing Wang. (1970). An Overview on Computational Techniques in Textile Engineering. Journal of Fiber Bioengineering and Informatics. 1 (3). 177-184. doi:10.3993/jfbi12200802
Copy to clipboard
The citation has been copied to your clipboard