Computational model for the prediction of seam pucker

Jintu Fan, G. Stylios

Research output: Journal article publicationJournal articleAcademic researchpeer-review


This paper reports on a computational model established for predicting the occurrence of seam pucker and advising on the correction of its causing variables (e.g. fabric properties) to prevent seam pucker. The model has a self-updating feature, that is automatically up-dating model parameters to improve the reliability of the model as new data becomes available. It has been successfully implemented in a recently developed sew ability system.
Original languageEnglish
Pages (from-to)31-35
Number of pages5
JournalJournal of Dong Hua University (English Edition)
Issue number4
Publication statusPublished - 1 Dec 1998

ASJC Scopus subject areas

  • Polymers and Plastics


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