Relative effect of wear parameters on the wear behavior of TiAlN coated tool steel and parametric optimization using MCDM method

Kumar, Sunil; Patnaik, Lokeswar; Shafi, Syed Mahammad; Maity, Saikat Ranjan

doi:10.1080/2374068x.2022.2033018

Cited by 7 publications

(1 citation statement)

References 33 publications

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“…Many researchers have observed excellent mechanical, wear, and corrosion properties of TiAlN film coatings (Fu et al 2019 andOzkan et al 2020). Various experimental works have already been conducted to study the tribological, frictional, and wear behaviors of TiAlN coated surfaces under different conditions of normal load, sliding velocity, and sliding distance (Sen et al 2020, Chowdhury et al 2017, M'Saoubi et al 2013, 2022cand Kuo et al 2018. However, investigations to study the influences of various tribological process parameters on the wear behavior of TiAlN coated surfaces remain unexplored.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Wear Parameters for Duplex-TiAlN Coated MDC-K Tool Steel Using Fuzzy MCDM Techniques

Kumar

Maity

Patnaik

2022

Oper. Res. Eng. Sci. Theor. Appl.

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The present work evaluates the effects of different tribological process parameters on the measured responses such as hardness, coefficient of friction, surface roughness, wear mass loss and wear depth of duplex-TiAlN coated MDC-K tool steel material. The considered tribological process parameters are load, sliding velocity, and sliding distance. A full factorial design with 27 experimental runs is employed and based on the response values, an optimal combination of the tribological process parameters is subsequently determined. Different multi-objective optimization techniques, like overall evaluation criteria and fuzzy-based multi-criteria decisionmaking methods (fuzzy evaluation based on distance from the average solution, fuzzy technique for order of preference by similarity to ideal solution, and fuzzy complex proportional assessment) are utilized to identify the optimal intermixes of the considered tribological process parameters. Sensitivity analysis with respect to changing weights of the responses is performed to validate the derived rankings of the trials, whereas the results of analysis of variance revealed the most significant parameters were influencing the responses. In addition to this, two different published problems related to optimization of wear parameters were solved using the proposed method to check its capability.

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