A Model for predicting the stretch and recovery test results of single jersey fabric

Abstract

In the Textile Testing field fabrics are tested based on the international standards recorded in test methods. The stretch and recovery test is one of the important textile tests used to measure the extension and recovery of a fabric under a target load. This test is performed using a tensile testing machine, usually of the Constant Rate of Extension (CRE) type. The time allocated to complete the test is considerably high due to the high time requirement for preconditioning, conditioning, sample preparation and testing. The stretch and recovery test report results are very critical and urgent most of the time. However, due to the time constraint, it may not be possible to deliver the reports to the customers on time. Therefore, this research has been carried out to predict the stretch and recovery test results for single jersey fabric without performing the physical test procedures. This research aims to design a mathematical model to predict the stretch and recovery for single jersey fabric. In achieving this objective, the quantitative method was applied. A theoretical framework was constructed grounded on a comprehensive analysis of the related literature. Resultant models derived during the analysis stage, then validated, and a simple tool has been implemented to be used by the laboratory staff. The model has shown more than 76% of accuracy, but it could be further validated by increasing the sample size and by revising the assumptions made during the study. This research has a great benefit to textile laboratory staff since they can utilize minimum resources for Stretch and Recovery Test. As the CRE machine requires more duration for the test specimen preparation and more time to complete the test, testing staff will be able to use the simple application developed based on the model derived as the result of this study.