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随机力冲击条件下多层硬质涂层中裂纹扩展模型的建立

Development of a Model of Crack Propagation in Multilayer Hard Coatings under Conditions of Stochastic Force Impact.

作者信息

Vereschaka Alexey, Grigoriev Sergey, Chigarev Anatoli, Milovich Filipp, Sitnikov Nikolay, Andreev Nikolay, Sotova Catherine, Bublikov Jury

机构信息

Institute of Design and Technological Informatics of the Russian Academy of Sciences (IDTI RAS), 127994 Moscow, Russia.

Department of Highly Effective Technologies and Processing (VTO), Moscow State Technological University STANKIN, 127994 Moscow, Russia.

出版信息

Materials (Basel). 2021 Jan 7;14(2):260. doi: 10.3390/ma14020260.

DOI:10.3390/ma14020260
PMID:33430303
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7825768/
Abstract

The article deals with the problems of cracking in the structure of multilayered coatings under the conditions of stochastic loading process. A mathematical model has been proposed in order to predict the crack propagation velocity in the coating while taking the influence of interlayer interfaces into account. A technique for calculating the probability density distribution of the coating fracture (failure rate) has been developed. The probability of a change in the crack growth direction is compared with the experimental data that were obtained as a result of the studies focused on the pattern of cracking in the Zr,Nb-(Zr,Nb)N-(Zr,Nb,Al)N and Ti-TiN-(Ti,Cr,Al)N coatings under the conditions of the real stochastic loading of cutting tools during the turning. The influence of the crystalline structure of the coating on the cracking pattern has been studied. The investigation has found the significant effect of the crystalline structure of the coating layers on the cracking pattern.

摘要

本文研究了多层涂层结构在随机加载过程中出现裂纹的问题。为了预测涂层中裂纹的扩展速度，同时考虑层间界面的影响，提出了一个数学模型。已开发出一种计算涂层断裂概率密度分布（失效率）的技术。将裂纹扩展方向改变的概率与实验数据进行了比较，这些实验数据是在车削过程中刀具实际随机加载条件下，针对Zr,Nb-(Zr,Nb)N-(Zr,Nb,Al)N和Ti-TiN-(Ti,Cr,Al)N涂层的裂纹模式研究得出的。研究了涂层晶体结构对裂纹模式的影响。研究发现涂层层的晶体结构对裂纹模式有显著影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/35b7f392c905/materials-14-00260-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/1cb6826c40b2/materials-14-00260-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/181e27397344/materials-14-00260-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/a78421b50504/materials-14-00260-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/b721e602cfe9/materials-14-00260-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/9c9677e26378/materials-14-00260-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/7e978bc374fa/materials-14-00260-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/d53a113e0137/materials-14-00260-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/954f0fc3d8e0/materials-14-00260-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/35b7f392c905/materials-14-00260-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/1cb6826c40b2/materials-14-00260-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/181e27397344/materials-14-00260-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/a78421b50504/materials-14-00260-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/b721e602cfe9/materials-14-00260-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/9c9677e26378/materials-14-00260-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/7e978bc374fa/materials-14-00260-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/d53a113e0137/materials-14-00260-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/954f0fc3d8e0/materials-14-00260-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6a1/7825768/35b7f392c905/materials-14-00260-g009.jpg

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