Investigating Garment Drape Behaviour
DOI:
10.3993/jfbi03201505
Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 47-56.
Published online: 2015-08
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@Article{JFBI-8-47,
author = {Reham Sanad and Tom Cassidy},
title = {Investigating Garment Drape Behaviour},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2015},
volume = {8},
number = {1},
pages = {47--56},
abstract = {Drapeability is one of the most important visual properties affecting garment appearance. Even though
there are many studies concerned with fabric drape, understanding about the drape behaviour of
garments is very limited. This study analyzes the key properties affecting the drape behaviour of
garments to provide prediction equations. Results are statistically analyzed. From multiple regression
analysis, drape rank scores obtained from subjective analyses are predicted using weight, bending
modulus and extensibility measured at 100 gf/cm with a correlation coefficient of 0.94. Ranking values
obtained from subjective analyses can be more easily predicted using both circularity and wave length
minimum. A new equation was derived to predict drape rank score values of garments (correlation
coefficient r = 0:97) depending on circularity and wavelength minimum.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbi03201505},
url = {http://global-sci.org/intro/article_detail/jfbi/4685.html}
}
TY - JOUR
T1 - Investigating Garment Drape Behaviour
AU - Reham Sanad & Tom Cassidy
JO - Journal of Fiber Bioengineering and Informatics
VL - 1
SP - 47
EP - 56
PY - 2015
DA - 2015/08
SN - 8
DO - http://doi.org/10.3993/jfbi03201505
UR - https://global-sci.org/intro/article_detail/jfbi/4685.html
KW - Drape
KW - Fabric
KW - Garment
KW - Prediction
KW - Visual
KW - FAST
KW - Mechanical
KW - Parameters
AB - Drapeability is one of the most important visual properties affecting garment appearance. Even though
there are many studies concerned with fabric drape, understanding about the drape behaviour of
garments is very limited. This study analyzes the key properties affecting the drape behaviour of
garments to provide prediction equations. Results are statistically analyzed. From multiple regression
analysis, drape rank scores obtained from subjective analyses are predicted using weight, bending
modulus and extensibility measured at 100 gf/cm with a correlation coefficient of 0.94. Ranking values
obtained from subjective analyses can be more easily predicted using both circularity and wave length
minimum. A new equation was derived to predict drape rank score values of garments (correlation
coefficient r = 0:97) depending on circularity and wavelength minimum.
Reham Sanad and Tom Cassidy. (2015). Investigating Garment Drape Behaviour.
Journal of Fiber Bioengineering and Informatics. 8 (1).
47-56.
doi:10.3993/jfbi03201505
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