Modeling of bending length based on concentrated loading method

Abstract

Presented study is aimed at designing a model for bending length based on the concentrated loading method using 10 parameters extracted from the modified tensile test. After that, a new database has been reproduced by using principal component analysis and the modeling is conducted by regression and artificial neural network (ANN) based on the trial and error method. The obtained R-squared of 0.97 between ANN outputs and corresponding real bending lengths proves that the proposed method has a great potential for evaluating the mechanical properties of fabrics.