Seam Puckering: Analysis and Modeling with Structural Equation Modeling

Abstract:

Research on parameters influencing seam pucker has been quite intensive in the past decade. The difficulties associated with accurate predictions of the interaction between sewing parameters and fabrics properties. Traditional approach of matching variety of sewing parameters with unlimited fabric properties through personal experience has been a challenge in the apparel industry which increased the cost of production due to reprocess or rejection. Hence, in the present study, an alternative mathematical modeling known as Structural Equation Modeling (SEM) was proposed to predict the seam puckering grading together with the usage of high end instrumentation for fabric known as Kawabata Evaluation System (KES-F). The KES-F determined 16 parameters related to handle properties of a fabric and SEM produced prediction equation based on a few selected important parameters. The results show that equation by SEM can be used to predict the level of seam puckering of different categories of fabric weights. Good comparisons with the experimental and previous studies demonstrate the ability of the model to be used as a predictive tool for textile materials particularly for seam puckering.

• Periodical: Advanced Materials Research (Volume 812)
• Pages: 157-162
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.812.157
• Online since: September 2013
• Authors: Suzaini A. Ghani, Yahya Mohamad Faizul
• Keywords: Kawabata Evaluation System for Fabrics (KES-F), Seam Pucker, Structural Equation Modeling (SEM)

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