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Optimization of AlCrSiWN Coating Process Parameters and Performance Study by the Matrix Analysis Method

An AlCrSiWN coating was prepared on a cemented carbide substrate by the arc ion plating technology. The optimization of the coating process was carried out by matrix analysis of orthogonal experiments to calculate the influence of the process parameters on the hardness, bonding and roughness indexes...

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Autores principales: Wei, Shasha, Wang, Renxin, Yang, Hu, Guo, Ziming, Lin, Rongchuan, Huang, Qingmin, Zhou, Yuhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330367/
https://www.ncbi.nlm.nih.gov/pubmed/35897585
http://dx.doi.org/10.3390/ma15155153
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author Wei, Shasha
Wang, Renxin
Yang, Hu
Guo, Ziming
Lin, Rongchuan
Huang, Qingmin
Zhou, Yuhui
author_facet Wei, Shasha
Wang, Renxin
Yang, Hu
Guo, Ziming
Lin, Rongchuan
Huang, Qingmin
Zhou, Yuhui
author_sort Wei, Shasha
collection PubMed
description An AlCrSiWN coating was prepared on a cemented carbide substrate by the arc ion plating technology. The optimization of the coating process was carried out by matrix analysis of orthogonal experiments to calculate the influence of the process parameters on the hardness, bonding and roughness indexes of the coating, determine the optimal coating process parameters, and focus on the influence of the bias voltage on the microscopic morphology, mechanical properties and friction properties of the coating. The results showed that the influence of the process parameters on the indexes of the orthogonal experiments was in the following order: bias voltage > arc current > N(2) flow rate. The optimal solution was achieved with an arc current of 160 A, a bias voltage of −80 V, and a N(2) flow rate of 600 sccm. Properly increasing the bias voltage improved the microscopic morphology, mechanical properties and wear resistance of the coating. When the bias voltage was −80 V, the coating surface presented fewer large particles with a less uniform size and no obvious crater defects; in addition, the cross-sectional structure changed from grape-like to columnar, and the coating had higher hardness, lower roughness and better bond strength. In the friction performance test, coating at a −80 V bias voltage showed better wear resistance, which was reflected in lower friction coefficient and wear, and the wear mechanism mainly consisted of adhesion and oxidation wear.
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spelling pubmed-93303672022-07-29 Optimization of AlCrSiWN Coating Process Parameters and Performance Study by the Matrix Analysis Method Wei, Shasha Wang, Renxin Yang, Hu Guo, Ziming Lin, Rongchuan Huang, Qingmin Zhou, Yuhui Materials (Basel) Article An AlCrSiWN coating was prepared on a cemented carbide substrate by the arc ion plating technology. The optimization of the coating process was carried out by matrix analysis of orthogonal experiments to calculate the influence of the process parameters on the hardness, bonding and roughness indexes of the coating, determine the optimal coating process parameters, and focus on the influence of the bias voltage on the microscopic morphology, mechanical properties and friction properties of the coating. The results showed that the influence of the process parameters on the indexes of the orthogonal experiments was in the following order: bias voltage > arc current > N(2) flow rate. The optimal solution was achieved with an arc current of 160 A, a bias voltage of −80 V, and a N(2) flow rate of 600 sccm. Properly increasing the bias voltage improved the microscopic morphology, mechanical properties and wear resistance of the coating. When the bias voltage was −80 V, the coating surface presented fewer large particles with a less uniform size and no obvious crater defects; in addition, the cross-sectional structure changed from grape-like to columnar, and the coating had higher hardness, lower roughness and better bond strength. In the friction performance test, coating at a −80 V bias voltage showed better wear resistance, which was reflected in lower friction coefficient and wear, and the wear mechanism mainly consisted of adhesion and oxidation wear. MDPI 2022-07-25 /pmc/articles/PMC9330367/ /pubmed/35897585 http://dx.doi.org/10.3390/ma15155153 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wei, Shasha
Wang, Renxin
Yang, Hu
Guo, Ziming
Lin, Rongchuan
Huang, Qingmin
Zhou, Yuhui
Optimization of AlCrSiWN Coating Process Parameters and Performance Study by the Matrix Analysis Method
title Optimization of AlCrSiWN Coating Process Parameters and Performance Study by the Matrix Analysis Method
title_full Optimization of AlCrSiWN Coating Process Parameters and Performance Study by the Matrix Analysis Method
title_fullStr Optimization of AlCrSiWN Coating Process Parameters and Performance Study by the Matrix Analysis Method
title_full_unstemmed Optimization of AlCrSiWN Coating Process Parameters and Performance Study by the Matrix Analysis Method
title_short Optimization of AlCrSiWN Coating Process Parameters and Performance Study by the Matrix Analysis Method
title_sort optimization of alcrsiwn coating process parameters and performance study by the matrix analysis method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330367/
https://www.ncbi.nlm.nih.gov/pubmed/35897585
http://dx.doi.org/10.3390/ma15155153
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