Performance evaluation of titanium-based metal nitride coatings and die lifetime prediction in a cold extrusion process

Surface coating can greatly enhance the lifetime of cold extrusion die. It is a significant issue to evaluate the performance of coatings and even predict the lifetime of cold extrusion die. In this work, the titanium-based nitride coatings including TiN, TiAlN, and TiAlCrN were, respectively, depos...

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Autores principales: Shen Li, Zhao Jiang, Zhang Yu-Qing, Quan Guo-Zheng
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Lenguaje:EN
Publicado: De Gruyter 2021
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Acceso en línea:https://doaj.org/article/fb773efb79cd4ede8bef4ab084a8ae8c
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spelling oai:doaj.org-article:fb773efb79cd4ede8bef4ab084a8ae8c2021-12-05T14:10:50ZPerformance evaluation of titanium-based metal nitride coatings and die lifetime prediction in a cold extrusion process2191-032410.1515/htmp-2021-0019https://doaj.org/article/fb773efb79cd4ede8bef4ab084a8ae8c2021-04-01T00:00:00Zhttps://doi.org/10.1515/htmp-2021-0019https://doaj.org/toc/2191-0324Surface coating can greatly enhance the lifetime of cold extrusion die. It is a significant issue to evaluate the performance of coatings and even predict the lifetime of cold extrusion die. In this work, the titanium-based nitride coatings including TiN, TiAlN, and TiAlCrN were, respectively, deposited on the surface of high-speed steel substrate W6Mo5Cr4V2 (M2) by the physical vapor deposition technology. The hardness test, scratch test, Rockwell adhesion test, and pin-on-disc (POD) wear test were carried out aiming to investigate the performances of the three coatings including hardness, adhesion strength, and wear resistance. The results show that the TiAlCrN coating exhibits the highest hardness of 3,033 HV in comparison with TiN coating (1,222 HV) and TiAlN coating (1,916 HV), while it possesses poor adhesion strength and inferior wear resistance. Furthermore, the TiAlN coating presents the highest resistance to wear and spalling from the substrate. In addition, the Archard wear model of the coatings was solved and applied in the finite element model of cold extrusion to calculate the wear depth and lifetime of the cold extrusion dies. The results suggest that TiAlN coating is the optimal option for cold extrusion die as compared with TiAlCrN and TiN coatings. TiAlN coating can prolong the lifetime of the substrate die up to 260%.Shen LiZhao JiangZhang Yu-QingQuan Guo-ZhengDe Gruyterarticletitanium-based nitride coatingperformancefinite element methodarchard modelcold extrusionTechnologyTChemical technologyTP1-1185Chemicals: Manufacture, use, etc.TP200-248ENHigh Temperature Materials and Processes, Vol 40, Iss 1, Pp 108-120 (2021)
institution DOAJ
collection DOAJ
language EN
topic titanium-based nitride coating
performance
finite element method
archard model
cold extrusion
Technology
T
Chemical technology
TP1-1185
Chemicals: Manufacture, use, etc.
TP200-248
spellingShingle titanium-based nitride coating
performance
finite element method
archard model
cold extrusion
Technology
T
Chemical technology
TP1-1185
Chemicals: Manufacture, use, etc.
TP200-248
Shen Li
Zhao Jiang
Zhang Yu-Qing
Quan Guo-Zheng
Performance evaluation of titanium-based metal nitride coatings and die lifetime prediction in a cold extrusion process
description Surface coating can greatly enhance the lifetime of cold extrusion die. It is a significant issue to evaluate the performance of coatings and even predict the lifetime of cold extrusion die. In this work, the titanium-based nitride coatings including TiN, TiAlN, and TiAlCrN were, respectively, deposited on the surface of high-speed steel substrate W6Mo5Cr4V2 (M2) by the physical vapor deposition technology. The hardness test, scratch test, Rockwell adhesion test, and pin-on-disc (POD) wear test were carried out aiming to investigate the performances of the three coatings including hardness, adhesion strength, and wear resistance. The results show that the TiAlCrN coating exhibits the highest hardness of 3,033 HV in comparison with TiN coating (1,222 HV) and TiAlN coating (1,916 HV), while it possesses poor adhesion strength and inferior wear resistance. Furthermore, the TiAlN coating presents the highest resistance to wear and spalling from the substrate. In addition, the Archard wear model of the coatings was solved and applied in the finite element model of cold extrusion to calculate the wear depth and lifetime of the cold extrusion dies. The results suggest that TiAlN coating is the optimal option for cold extrusion die as compared with TiAlCrN and TiN coatings. TiAlN coating can prolong the lifetime of the substrate die up to 260%.
format article
author Shen Li
Zhao Jiang
Zhang Yu-Qing
Quan Guo-Zheng
author_facet Shen Li
Zhao Jiang
Zhang Yu-Qing
Quan Guo-Zheng
author_sort Shen Li
title Performance evaluation of titanium-based metal nitride coatings and die lifetime prediction in a cold extrusion process
title_short Performance evaluation of titanium-based metal nitride coatings and die lifetime prediction in a cold extrusion process
title_full Performance evaluation of titanium-based metal nitride coatings and die lifetime prediction in a cold extrusion process
title_fullStr Performance evaluation of titanium-based metal nitride coatings and die lifetime prediction in a cold extrusion process
title_full_unstemmed Performance evaluation of titanium-based metal nitride coatings and die lifetime prediction in a cold extrusion process
title_sort performance evaluation of titanium-based metal nitride coatings and die lifetime prediction in a cold extrusion process
publisher De Gruyter
publishDate 2021
url https://doaj.org/article/fb773efb79cd4ede8bef4ab084a8ae8c
work_keys_str_mv AT shenli performanceevaluationoftitaniumbasedmetalnitridecoatingsanddielifetimepredictioninacoldextrusionprocess
AT zhaojiang performanceevaluationoftitaniumbasedmetalnitridecoatingsanddielifetimepredictioninacoldextrusionprocess
AT zhangyuqing performanceevaluationoftitaniumbasedmetalnitridecoatingsanddielifetimepredictioninacoldextrusionprocess
AT quanguozheng performanceevaluationoftitaniumbasedmetalnitridecoatingsanddielifetimepredictioninacoldextrusionprocess
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