Framework development of fabric drape evaluation: Paper weighing method transformed to digital image analysis technique

The drape is a fabric's ability to deform when suspended under its weight in specified conditions of known size using a Drape Meter. The Drape Coefficient % (DC%) is calculated by taking the weight of paper cut out based on the shadow of the fabric. A fabric property is very important in relati...

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Bibliographic Details
Published in:AIP Conference Proceedings
Main Author: Kamadi N.R.; Ghani S.A.; Yahya M.F.; Tulos N.; Yusof N.A.; Yusof N.J.M.
Format: Conference paper
Language:English
Published: American Institute of Physics Inc. 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166968304&doi=10.1063%2f5.0153238&partnerID=40&md5=5c9b28636d74b57b170c97f1a9f6f3e2
Description
Summary:The drape is a fabric's ability to deform when suspended under its weight in specified conditions of known size using a Drape Meter. The Drape Coefficient % (DC%) is calculated by taking the weight of paper cut out based on the shadow of the fabric. A fabric property is very important in relating to the behavior of drapes and these factors were determined by earlier researchers in developing a tool to measure drape. The Cusiks's Drape Meter was the first equipment that used the principle of shadow in reflecting the drape behavior and later on calculating the DC%. The principle introduced by Cusick has been used by a lot of researchers to determine DC% more accurately using computer captured images. In recent years, a lot of research has moved forward using software to calculate the DC% by incorporating the values of fabric properties to create an image for the drape. A lot of work on comparing the values of DC% using conventional and simulated/virtual methods was published. The usage of particular software can predict the DC% before the actual production of fabrics. Prediction can be made based on physical properties needed on particular fabrics to be produced and thus saving a lot of time and giving more choices in fabrics selection. © 2023 Author(s).
ISSN:0094243X
DOI:10.1063/5.0153238