Optimization of Friction and Wear Properties of Electroless Ni–P Coatings Under Lubrication Using Grey Fuzzy Logic

被引：10

作者：

Mukhopadhyay A. ^{[1
]}

Duari S. ^{[1
]}

Barman T.K. ^{[1
]}

Sahoo P. ^{[1
]}

机构：

[1] Department of Mechanical Engineering, Jadavpur University, Kolkata, 700032, West Bengal

来源：

Journal of The Institution of Engineers (India): Series D | 2017年 / 98卷 / 02期

关键词：

COF; Electroless; Fuzzy logic; Lubrication; Ni–P coating; Optimization; Wear;

D O I：

10.1007/s40033-016-0133-9

中图分类号：

学科分类号：

摘要：

The present study aims to evaluate the friction and wear behaviour of electroless Ni–P coatings sliding against hardened chromium coated steel under lubrication. Tribological tests are carried out on a block-on-roller configuration multi tribotester. The effect of variation of applied normal load, rotation speed of the counterface roller and test duration on the coefficient of friction and wear depth is analyzed using Taguchi’s robust design philosophy and design of experiments. Optimal setting of the tribo-testing parameters is evaluated using a hybrid grey fuzzy reasoning analysis in a quest to achieve optimal tribological performance of the coatings under lubrication. Analysis of variance reveals the highest contribution by applied normal load in controlling the tribological behaviour under lubrication. Whereas the interaction effect of load and time is also seen to cast a significant effect. Surface morphology studies reveal a typical nodular structure of the deposits. The coatings are seen to be amorphous in its as-deposited condition which becomes crystalline on heat treatment. Further, the synergistic effects of test parameters, microstructure of the coatings, lubrication, etc. on the tribological behaviour are assessed. © 2016, The Institution of Engineers (India).

引用

页码：255 / 268

页数：13

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