Predicting bending rigidity of woven fabrics using artificial neural networks |
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Authors: | B K Behera R Guruprasad |
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Institution: | 1.Department of Textile Technology,Indian Institute of Technology,New Delhi,India |
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Abstract: | This paper reports an investigation on the predictability of bending property of woven fabrics from their constructional parameters
using artificial neural network (ANN) approach. Number of cotton grey fabrics made of plain and satin weave designs were desized,
scoured, and relaxed. The fabrics were then conditioned and tested for bending properties. Thread density in fabric, yarn
linear density, twist in yarn, and weave design were accounted as input parameters for the model whereas bending rigidity
in warp and weft directions of fabric formed the outputs. Gradient descent with momentum and an adaptive learning rate back-propagation
was employed as learning algorithm to train the network. A sensitivity analysis was carried out to study the robustness of
the model. |
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Keywords: | |
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