Comparative Analysis of Experimental -Based Wear Rate Investigation of Different Coatings on Nitrided AISI H13 Tool Steel
DOI:
https://doi.org/10.5281/zenodo.15782893Keywords:
taguchi method, analysis of variance, signal to noise (s/n) ratio, optimization, wear rate, coating typeAbstract
The research investigates the tribological behavior of Titanium Carbide (TiC) and Chromium Nitride (CrN) and Aluminum Titanium Nitride (AlTiN) coatings used on gas-nitrided AISI H13 tool steel when operating under multiple conditions. The Taguchi L9 orthogonal design evaluated how coating type together with temperature (40–50 °C) and load (5–15 N) affect wear rate measurements. A tribometer tester performed the wear tests and were determined by applying the circular segment method to assess the cross-sectional area of the tracks formed during testing.. The multiple linear regression prediction model for wear rate performance exhibited an error margin of less than 10% throughout every experimental trial. The statistical results from analysis of variance (ANOVA) showed coating type to be the main contributor to wear variation (p = 0.002). Within the set of tested coatings AlTiN established the highest degree of wear resistance during optimized conditions. The verification tests confirmed the accurate forecasting capabilities of the predictive model for regression while showing that duplex surface modifications work properly. Results show that using AlTiN-coated nitrided AISI H13 steel makes it possible to deploy these tools in demanding high-temperature applications which need exceptional wear protection.
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