2020
DOI: 10.1016/j.matpr.2020.05.359
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Experimental investigations on wear properties of AlTiN coated 316LVM stainless steel

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Cited by 8 publications
(8 citation statements)
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“…e statistical analysis is applied to analyzing the responses as per input factor combinations, coefficients estimation, and model adequacy checking and predicting the responses [14]. e factors considered for the study were load, sliding speed, and sliding distance.…”
Section: Discussionmentioning
confidence: 99%
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“…e statistical analysis is applied to analyzing the responses as per input factor combinations, coefficients estimation, and model adequacy checking and predicting the responses [14]. e factors considered for the study were load, sliding speed, and sliding distance.…”
Section: Discussionmentioning
confidence: 99%
“…. RSM is the most popular method for designing an experiment for engineering problems and predicting and optimizing a given model on surface roughness [13,14]. RSM [15] is the best tool for analyzing the impact of factors and their interaction on the response.…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
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“…e alloy Ti-6Al-4V is widely acceptable and viable for structural applications in aerospace or aviation vehicles. PVD coatings have been shown to improve mechanical properties, biocompatibility, osseointegration, wear, and corrosion resistance in Ti-6Al-4V and SS 316 LVM substrates [12,13]. Out of all titanium alloys, Ti-6Al-4V is the most preferable to use in engine components, airframe, and aerospace components.…”
Section: Introductionmentioning
confidence: 99%