Control over Multi-Scale Self-Organization-Based Processes under the Extreme Tribological Conditions of Cutting through the Application of Complex Adaptive Surface-Engineered Systems

This paper features a comprehensive analysis of various multiscale selforganization processes that occur during cutting. A thorough study of entropy production during friction has uncovered several channels of its reduction that can be achieved by various selforganization processes. These processes...

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Main Authors: German Fox-Rabinovich, Iosif Gershman, Saurav Goel, Jose Luis Endrino
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Lubricants
Subjects:
Online Access:https://www.mdpi.com/2075-4442/11/3/106
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author German Fox-Rabinovich
Iosif Gershman
Saurav Goel
Jose Luis Endrino
author_facet German Fox-Rabinovich
Iosif Gershman
Saurav Goel
Jose Luis Endrino
author_sort German Fox-Rabinovich
collection DOAJ
description This paper features a comprehensive analysis of various multiscale selforganization processes that occur during cutting. A thorough study of entropy production during friction has uncovered several channels of its reduction that can be achieved by various selforganization processes. These processes are (1) self-organization during physical vapor deposition PVD coating deposition on the cutting tool substrates; (2) tribofilm formation caused by interactions with the environment during operation, which consist of the following compounds: thermal barriers; Magnéli phase tribo-oxides with metallic properties at elevated temperatures, tribo-oxides that transform into a liquid phase at operating temperatures, and mixed action tribo-oxides that serve as thermal barriers/lubricants, and (3) multiscale selforganization processes that occur on the surface of the tool during cutting, which include chip formation, the generation of adhesive layers, and the buildup edge formation. In-depth knowledge of these processes can be used to significantly increase the wear resistance of the coated cutting tools. This can be achieved by the application of the latest generation of complex adaptive surface-engineered systems represented by several state-of-the-art adaptive nano-multilayer PVD coatings, as well as high entropy alloy coatings (HEAC).
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spelling doaj.art-f17bd811c86f4a56aa7336c3673ab1402023-11-17T12:14:12ZengMDPI AGLubricants2075-44422023-02-0111310610.3390/lubricants11030106Control over Multi-Scale Self-Organization-Based Processes under the Extreme Tribological Conditions of Cutting through the Application of Complex Adaptive Surface-Engineered SystemsGerman Fox-Rabinovich0Iosif Gershman1Saurav Goel2Jose Luis Endrino3Department of Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L8, CanadaJoint Stock Company Railway Research Institute, Moscow State Technological University “Stankin” (MSTU “STANKIN”), 127994 Moscow, RussiaSchool of Engineering, London South Bank University, London SE1 0AA, UKDepartment of Engineering, Universidad Loyola Andalucia, Av de las Universidades s/n, 41704 Sevilla, SpainThis paper features a comprehensive analysis of various multiscale selforganization processes that occur during cutting. A thorough study of entropy production during friction has uncovered several channels of its reduction that can be achieved by various selforganization processes. These processes are (1) self-organization during physical vapor deposition PVD coating deposition on the cutting tool substrates; (2) tribofilm formation caused by interactions with the environment during operation, which consist of the following compounds: thermal barriers; Magnéli phase tribo-oxides with metallic properties at elevated temperatures, tribo-oxides that transform into a liquid phase at operating temperatures, and mixed action tribo-oxides that serve as thermal barriers/lubricants, and (3) multiscale selforganization processes that occur on the surface of the tool during cutting, which include chip formation, the generation of adhesive layers, and the buildup edge formation. In-depth knowledge of these processes can be used to significantly increase the wear resistance of the coated cutting tools. This can be achieved by the application of the latest generation of complex adaptive surface-engineered systems represented by several state-of-the-art adaptive nano-multilayer PVD coatings, as well as high entropy alloy coatings (HEAC).https://www.mdpi.com/2075-4442/11/3/106self-organizationcutting toolsPVD coatingshigh entropy alloy coatings (HEAC)
spellingShingle German Fox-Rabinovich
Iosif Gershman
Saurav Goel
Jose Luis Endrino
Control over Multi-Scale Self-Organization-Based Processes under the Extreme Tribological Conditions of Cutting through the Application of Complex Adaptive Surface-Engineered Systems
Lubricants
self-organization
cutting tools
PVD coatings
high entropy alloy coatings (HEAC)
title Control over Multi-Scale Self-Organization-Based Processes under the Extreme Tribological Conditions of Cutting through the Application of Complex Adaptive Surface-Engineered Systems
title_full Control over Multi-Scale Self-Organization-Based Processes under the Extreme Tribological Conditions of Cutting through the Application of Complex Adaptive Surface-Engineered Systems
title_fullStr Control over Multi-Scale Self-Organization-Based Processes under the Extreme Tribological Conditions of Cutting through the Application of Complex Adaptive Surface-Engineered Systems
title_full_unstemmed Control over Multi-Scale Self-Organization-Based Processes under the Extreme Tribological Conditions of Cutting through the Application of Complex Adaptive Surface-Engineered Systems
title_short Control over Multi-Scale Self-Organization-Based Processes under the Extreme Tribological Conditions of Cutting through the Application of Complex Adaptive Surface-Engineered Systems
title_sort control over multi scale self organization based processes under the extreme tribological conditions of cutting through the application of complex adaptive surface engineered systems
topic self-organization
cutting tools
PVD coatings
high entropy alloy coatings (HEAC)
url https://www.mdpi.com/2075-4442/11/3/106
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