Journals Information
Universal Journal of Materials Science Vol. 2(6), pp. 111 - 118
DOI: 10.13189/ujms.2014.020602
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Artificial Neural Network Approach to Predict the Abrasive Wear of AA2024-B4C Composites
A. Canakci 1,*, T. Varol 1, S. Ozsahin 2, S. Ozkaya 1
1 Department of Metallurgical and Materials Engineering, Engineering Faculty, Karadeniz Technical University, Turkey
2 Department of Industrial Engineering, Engineering Faculty, Karadeniz Technical University, Turkey
ABSTRACT
A neural network (ANN) model was developed to predict the abrasive wear behavior of AA2024 aluminum alloy matrix composites reinforced with B4C particles. Al2024-B4C powder mixtures with various reinforcement volume fractions (3鈥�10%) and particle sizes (29碌m and 71 碌m) were prepared and Al2024-B4C composites were produced by stir-casting technique. The model was based on three layer neural network with feed forward back propagation learning algorithm. A sigmoid transfer function was developed and found to be suitable for analyzing the abrasive wear behavior of composites with the least error. The training data are collected by the experimental setup in the laboratory. The trained model was used to study the effect of ceramic particle size and volume fraction on the abrasive wear of Al2024鈥揃4C composites. By comparing the predicted values with the experimental data, it was demonstrated that the well-trained feed forward back propagation ANN model is a powerful tool for prediction of abrasive wear behavior of Al2024-B4C composites.
KEYWORDS
A. Metal-matrix Composites, Wear, Computational Modelling, Casting
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] A. Canakci , T. Varol , S. Ozsahin , S. Ozkaya , "Artificial Neural Network Approach to Predict the Abrasive Wear of AA2024-B4C Composites," Universal Journal of Materials Science, Vol. 2, No. 6, pp. 111 - 118, 2014. DOI: 10.13189/ujms.2014.020602.
(b). APA Format:
A. Canakci , T. Varol , S. Ozsahin , S. Ozkaya (2014). Artificial Neural Network Approach to Predict the Abrasive Wear of AA2024-B4C Composites. Universal Journal of Materials Science, 2(6), 111 - 118. DOI: 10.13189/ujms.2014.020602.