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An Online Fabric Database to Link Fabric Drape and End-Use Properties

The main obstacle for adaptation of fabric selection through the Internet is that there is no objective selection method that is suitable for fashion fabrics. The purpose of this research is to develop an objective evaluation method for selecting fabrics through an online fabric database. The relationship between fabric mechanical properties and fabric drape was investigated. One hundred eighty-five commercial fabrics from different manufacturers were tested using the Kawabata fabric evaluation system (KES-FB) and Cusick drape tester. Applying regression analysis, the parameters that were significantly correlated with drape coefficient (DC) were determined.
The test results, fabric structural parameters, and contact information for fabric manufacturers, were included in the database. A web-site with a user interface allowing users to implement various types of searches was published on the Internet. Fuzzy linear clustering technique was used to predict fabric drape property. The accuracy for predicting fabric drape using this technique was 94%. This means the model using fuzzy linear clustering is an efficient method to predict fabric end-use properties.
Additionally, a new method to measure drape coefficient using Photo Shop was developed by this author. Instead of weighing paper rings, shaded drape area was used to calculate the drape coefficient. With the new Photo Shop method, the cost, testing time and human error was reduced while the accuracy of the test result was increased.

Identiferoai:union.ndltd.org:LSU/oai:etd.lsu.edu:etd-10252004-205544
Date28 October 2004
CreatorsGider, Ayse
ContributorsJacquelene Robeck, Yan Chen, Jenna T Kuttruff, Jianhua Chen
PublisherLSU
Source SetsLouisiana State University
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lsu.edu/docs/available/etd-10252004-205544/
Rightsunrestricted, I hereby certify that, if appropriate, I have obtained and attached herein a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to LSU or its agents the non-exclusive license to archive and make accessible, under the conditions specified below and in appropriate University policies, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.

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