Published January 1, 2015
| Version v1
Journal article
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Use of Artificial Neural Networks for Modelling the Drape Behaviour of Woollen Fabrics Treated with Dry Finishing Processes
Creators
- 1. Istanbul Tech Univ, Text Engn Dept, TR-34437 Istanbul, Turkey
- 2. Univ Maribor, Dept Text Mat & Design, SI-2000 Maribor, Slovenia
Description
The relationship between fabric drape, low stress mechanical properties and finishing processes is relatively complex. This paper demonstrates the possibility of using artificial neural networks to identify the fabric drape of woollen fabrics treated with different dry finishing processes (stenter, decatising, supeifinish, formula, KADE strong/weak - autoclave decatizing). The mechanical and surface properties of woollen fabrics were measured by both the KES-FB and FAST systems, and then the results obtained were applied to artificial neural network (ANN) modelling. ANN models were compared by verifying the Mean Square Error (MSE) and Correlation coefficient (R-value). The results indicated that each model is capable of making quantitatively accurate drape behaviour predictions for wool fabrics (R-min = 0.92, MSEmin = 0)(.)
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