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https://hdl.handle.net/11147/2010
Title: | Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer composites | Authors: | Seyhan, Abdullah Tuğrul Tayfur, Gökmen Karakurt, Murat Tanoğlu, Metin |
Keywords: | Artificial neural network (ANN) Compressive strength Multi-linear regression (MLR) Polymer composites Preforming binder Neural networks |
Publisher: | Elsevier Ltd. | Source: | Seyhan, A. T., Tayfur, G., Karakurt, M., and Tanoǧlu, M. (2005). Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer composites. Computational Materials Science, 34(1), 99-105. doi:10.1016/j.commatsci.2004.11.001 | Abstract: | A three layer feed forward artificial neural network (ANN) model having three input neurons, one output neuron and two hidden neurons was developed to predict the ply-lay up compressive strength of VARTM processed E-glass/ polyester composites. The composites were manufactured using fabric preforms consolidated with 0, 3 and 6 wt.% of thermoplastic binder. The learning of ANN was accomplished by a backpropagation algorithm. A good agreement between the measured and the predicted values was obtained. Testing of the model was done within low average error levels of 3.28%. Furthermore, the predictions of ANN model were compared with those obtained from a multi-linear regression (MLR) model. It was found that ANN model has better predictions than MLR model for the experimental data. Also, the ANN model was subjected to a sensitivity analysis to obtain its response. As a result, the ANN model was found to have an ability to yield a desired level of ply-lay up compressive strength values for the composites processed with the addition of the thermoplastic binder. | URI: | http://doi.org/10.1016/j.commatsci.2004.11.001 http://hdl.handle.net/11147/2010 |
ISSN: | 0927-0256 0927-0256 |
Appears in Collections: | Civil Engineering / İnşaat Mühendisliği Mechanical Engineering / Makina Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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