Residual stresses prediction in transition metal nitrides sputtered coatings using artificial neural network and experimental evaluation of surface morphology
Author:
Funder
Erasmus+
Higher Education Commision, Pakistan
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Publisher
Elsevier BV
Reference65 articles.
1. Effects of residual stress distribution on interfacial adhesion of magnetron sputtered aln and AlN/Al nanostructured coatings on a (100) silicon substrate;Ali;Nanomaterials,2018
2. Effect of titanium interlayer configurations on residual stresses and performance of titanium/titanium nitride multilayer coatings;Ali;Surf Eng,2024
3. Effect of thickness on the structure, composition and properties of titanium nitride nano-coatings;Martinez,2014
4. Influence of deposition parameters on hard Cr–Al–N coatings deposited by multi-arc ion plating;Wang;Appl Surf Sci,2012
5. Prediction of grain size in the TiN coating using artificial neural network;Jarrah;Int J Appl Eng Res,2016
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