Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/54576
Title: Modeling of bending length based on concentrated loading method
Authors: Heydarian, Parisa
Vadood, Morteza
Yazdi, Ali Asghar Alamdar
Keywords: Artificial neural network;Bending length;Concentrated loading method;Polypropylene;Principal component analysis
Issue Date: Jun-2020
Publisher: NISCAIR-CSIR, India
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.
Page(s): 220-223
URI: http://nopr.niscair.res.in/handle/123456789/54576
ISSN: 0975-1025 (Online); 0971-0426 (Print)
Appears in Collections:IJFTR Vol.45(2) [June 2020]

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