Analyzing Fabric Properties and Short Modeling Through 3D Scanning and Computer Prediction

Main Article Content

Arjun Ramesh Gupta

Abstract

In this study, a considerable variety of fabrics were categorized into five distinct groups. These fabric samples were utilized to create experimental shorts. By focusing on the cross-sections of the hipline, a correlation analysis was performed to examine the relationship between the sectional shape index and the fabrics' physical and mechanical properties, identifying key influencing factors. Utilizing data from 3D scanning, morphological sections and polar coordinates for each characteristic section were constructed. Subsequently, the differences in the cross-sectional curves were analyzed.

Article Details

How to Cite
Gupta, A. R. (2021). Analyzing Fabric Properties and Short Modeling Through 3D Scanning and Computer Prediction. Journal of Computer Science and Software Applications, 1(1), 5–9. https://doi.org/10.5281/jcssa.v1i1.34
Section
Articles

References

Xiaofeng Jiang: The relation of performance woven fabric and the shape of garment (MS, Suzhou University,China 2003), p.1.

Fangfang Cui, Xin Zhang, Lingshan Wang:Study of the relationship between jacket-business wear fitness and fabric drape,Proceedings of textile bioengineering and informatics symposium ( Shanghai, China, May 28-30,2010), p.1323-1330.

Zhebin Xue: Study on sensory evaluation of formability of suit fabric (MS, Suzhou University,China 2010), p.17-28.

Liwen Shi: SPSS19.0 From the beginning to the mastery of statistical analysis (Tsinghua University Press ,China 2012), p.109-301.

Garment size Woman: GB /T 1335. 2-2008 (China 2008).

General requirements for 3D scanning anthropometry:GB /T 23698-2009 (China 2009).

Ying Zhang, Fenyuan Zou.: Principle and application of three-dimensional body measurement technology, Journal of Zhejiang Institute of Science and Technology,Vol.20(2003) No.4, p.112- 116.

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.