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Open AccessArticle

A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics

by Ning Pan 1,*, Chengwei Lin 1 and Jun Xu 2
1
Department of Biological and Agricultural Engineering, University of California at Davis, Davis, CA 95616, USA
2
College of Clothing, Northwest Polytechnic University, Xi’an 710048, China
*
Author to whom correspondence should be addressed.
Fibers 2019, 7(8), 70; https://doi.org/10.3390/fib7080070
Received: 29 January 2019 / Revised: 10 July 2019 / Accepted: 22 July 2019 / Published: 26 July 2019
With huge varieties of fabrics, the first challenge for any performance evaluation is to categorize the vast types of the products into fewer, more homogeneous and akin groups. Classification or sorting is arguably the first step of any scientific investigation, and comparison of product quality is meaningful only when conducted within a group of comparable products. A new criterion termed fabric linear density λ is first proposed in this paper so that fabrics can in general be divided into four groups. The derivation and validation of this parameter are provided. The importance of fabric drape is almost self-evident, but there are still no effective ways to easily measure this fabric attribute. A few existing instruments, notably the Cusick Drapemeter, suffer from low repeatability and low sensitivity and are hence not widely or frequently used. It is demonstrated in this study that, by using the PhabrOmeter, along with the fabric linear density λ, a much more efficient alternative for fabric drape test can be achieved. By actually testing 40 various fabrics, the principle, procedure and results of this method is presented in this paper. View Full-Text
Keywords: fabric classification; fabric drape; directional and side effects; Cusick Drapemeter; PhabrOmeter fabric classification; fabric drape; directional and side effects; Cusick Drapemeter; PhabrOmeter
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Pan, N.; Lin, C.; Xu, J. A New Method for Measuring Fabric Drape with a Novel Parameter for Classifying Fabrics. Fibers 2019, 7, 70.

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