论文信息 - Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer composites

Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer composites

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.

[1] Experimental and artificial neural network modeling study on soot formation in premixed hydrocarbon flames , 2003 .

[2] Serhan Ozdemir,et al. The use of GA-ANNs in the modelling of compressive strength of cement mortar , 2003 .

[3] T. Chou,et al. Compaction of woven-fabric preforms in liquid composite molding processes: single-layer deformation , 1999 .

[4] A. T. Seyhan,et al. Investigating the effects of a polyester preforming binder on the mechanical and ballistic performance of E-glass fiber reinforced polyester composites , 2003 .

[5] Klaus Friedrich,et al. Dynamic mechanical properties of PTFE based short carbon fibre reinforced composites: experiment and artificial neural network prediction , 2002 .

[6] Constantina Lekakou,et al. Compression in the processing of polymer composites 1. A mechanical and microstructural study for different glass fabrics and resins , 1999 .

[7] Suresh G. Advani,et al. The implications of fiber compaction and saturation on fully coupled VARTM simulation , 2004 .

[8] J. Karger‐Kocsis,et al. Artificial neural network predictions on erosive wear of polymers , 2003 .

[9] A. T. Seyhan,et al. Compressive mechanical behaviour of E-glass/polyester composite laminates tailored with a thermoplastic preforming binder , 2003 .