Abstract
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 language | English |
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Pages (from-to) | 31-35 |
Number of pages | 5 |
Journal | Journal of Dong Hua University (English Edition) |
Volume | 15 |
Issue number | 4 |
Publication status | Published - 1998 |
ASJC Scopus subject areas
- Polymers and Plastics
- Industrial and Manufacturing Engineering