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.
Citation:
Amarasinghe, A. A.T.D. (2020). A Model for predicting the stretch and recovery test results of single jersey fabric [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/18764