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Volume 11, December 2016, Pages 24-48
Optimization of wear behavior of electroless Ni-P-W coating under
dry and lubricated conditions using genetic algorithm (GA)
Arkadeb Mukhopadhyay, Santanu Duari, Tapan Kumar Barman, Prasanta Sahoo
Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, India
Abstract
The present study aims to investigate the
tribological behavior of Ni-P-W coating under dry and lubricated
condition. The coating is deposited onto mild steel (AISI 1040)
specimens by the electroless method using a sodium hypophosphite
based alkaline bath. Coating characterization is done to investigate
the effect of microstructure on its performance. The change in
microhardness is observed to be quite significant after annealing
the deposits at 400°C for 1h. A pin–on–disc type tribo-tester is
used to investigate the tribological behavior of the coating under
dry and lubricated conditions. The experimental design formulation
is based on Taguchi’s orthogonal array. The design parameters
considered are the applied normal load, sliding speed and sliding
duration while the response parameter is wear depth. Multiple
regression analysis is employed to obtain a quadratic model of the
response variables with the main design parameters under
considerations. A high value of coefficient of determination of
95.3% and 87.5% of wear depth is obtained under dry and lubricated
conditions, respectively which indicate good correlation between
experimental results and the multiple regression models. Analysis of
variance at a confidence level of 95% shows that the models are
statistically significant. Finally, the quadratic equations are used
as objective functions to obtain the optimal combination of tribo
testing parameters for minimum wear depth using genetic algorithm
(GA).
Keywords
Electroless Ni-P-W; Wear; Lubricated condition; Optimization; Genetic algorithm
Full Text
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