Universal Journal of Mechanical Engineering Vol. 4(2), pp. 39 - 49
DOI: 10.13189/ujme.2016.040204
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Artificial Neural Network Model for Estimation of Wear and Temperature in Pin-disc Contact

Abdul Kareem F. Hassan , Sara Mohammed ^*
College of Engineering, Basra University, Iraq

ABSTRACT

This work aims to investigate experimentally the parameters affecting on the wear debris and the temperature rise due to friction as well as developing the artificial neural network model (ANN) using MATLAB program for predicting the wear, and temperature of disc and pad. Two types of disc made from aluminum and steel are slipping against pad and carried out under dry conditions at different time, rotational speed, and load to examine the wear. The results show that the wear and temperature are increased with increasing the sliding speed, and load or contact time. In addition, the wear of pad is higher when it's contact with aluminum disc, while the temperature of pad is higher when its contact with steel. The ANN model was successfully shows that there is a high ability to predict the wear and temperature as well as the results of model corresponding with the experimental results.

KEYWORDS
Abrasive Wear, Artificial Neural Networks, Frictional Wear

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Abdul Kareem F. Hassan , Sara Mohammed , "Artificial Neural Network Model for Estimation of Wear and Temperature in Pin-disc Contact," Universal Journal of Mechanical Engineering, Vol. 4, No. 2, pp. 39 - 49, 2016. DOI: 10.13189/ujme.2016.040204.

(b). APA Format:
Abdul Kareem F. Hassan , Sara Mohammed (2016). Artificial Neural Network Model for Estimation of Wear and Temperature in Pin-disc Contact. Universal Journal of Mechanical Engineering, 4(2), 39 - 49. DOI: 10.13189/ujme.2016.040204.