Prediction of Surface Roughness and Coefficient of Friction Using Artificial Neural Network in Tribotesting of Bio-Lubricants
2019 ◽
Vol 895
◽
pp. 52-57
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Keyword(s):
Tribotesting is necessary to understand the behaviour of the material under various operating lubrication conditions. This paper deals with the training of an artificial neural network (ANN) model with Bio-lubricant properties and machining conditions for prediction of surface roughness and coefficient of friction in Tribotesting by Tool chip Tribometer. Experimental results obtained from Tool chip tribometer for tested bio-lubricants are compared with those obtained by ANN prediction. A good agreement in results recommends that a well trained neural network is competent enough to predict the parameters in Tribotesting process.
2013 ◽
Vol 641-642
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pp. 460-463
2019 ◽
Vol 6
(8)
◽
pp. 085107
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2021 ◽
Vol 03
(01)
◽
pp. 45-52
2018 ◽