ANN Prediction of Coefficient of Friction and Sliding Wear Rates of Cast Al6061-Si3N4 Composites

C.S. Ramesh; R. Keshavamurthy; D. Vineela; R. Archana

doi:10.4028/www.scientific.net/AMR.159.338

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 159ANN Prediction of Coefficient of Friction and...

ANN Prediction of Coefficient of Friction and Sliding Wear Rates of Cast Al6061-Si₃N₄ Composites

Abstract:

This work focuses on the prediction of tribological behavior of cast Al6061-Si3N4 composites using ANN technique owing to its wide spread popularity in accurate predictions of material properties. The cast composites were developed by stir cast method and its tribological behavior were experimentally evaluated using a pin-on-disc tribometer adopting loads and sliding velocities ranging from 20-100N and 0.314-1.574m/s respectively. The predictions of coefficient of friction and wear rates of matrix alloy and the developed cast composites by ANN approach do agree very closely with the experimental data. Keywords: ANN, Composites, coefficient of friction, wear rates.

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Periodical:

Advanced Materials Research (Volume 159)

Pages:

338-341

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.159.338

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Online since:

December 2010

Authors:

C.S. Ramesh, R. Keshavamurthy, D. Vineela, R. Archana

Keywords:

Artificial Neural Network (ANN), Coefficient of Friction, Composite, Wear Rate

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