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Sustainable Dry Machining of Stainless Steel with Microwave-Treated Tungsten Carbide Cutting Tools

This paper presents a research investigation conducted on the turning of stainless steel 316 material under a dry environment using microwave-treated cutting tool inserts. Plain tungsten carbide WC tool inserts were exposed to microwave treatment for enhancement of their performance characteristics....

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Autores principales: Babe, Itemogeng Bernatt, Gupta, Kapil, Chaubey, Sujeet Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302282/
https://www.ncbi.nlm.nih.gov/pubmed/37374732
http://dx.doi.org/10.3390/mi14061148
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author Babe, Itemogeng Bernatt
Gupta, Kapil
Chaubey, Sujeet Kumar
author_facet Babe, Itemogeng Bernatt
Gupta, Kapil
Chaubey, Sujeet Kumar
author_sort Babe, Itemogeng Bernatt
collection PubMed
description This paper presents a research investigation conducted on the turning of stainless steel 316 material under a dry environment using microwave-treated cutting tool inserts. Plain tungsten carbide WC tool inserts were exposed to microwave treatment for enhancement of their performance characteristics. It was found that a 20-min microwave treatment resulted in the best tool hardness and metallurgical characteristics. These tool inserts have been used to machine SS 316 material following the Taguchi L(9) design of experimental techniques. A total of eighteen experiments have been conducted by varying three main machining parameters, i.e., cutting speed, feed rate, and depth of cut, at three levels per parameter. It has been found that tool flank wear increased with all three parameters and surface roughness decreased. At the longest dept of cut, surface roughness increased. An abrasion wear mechanism was found on the tool flank face at a high machining speed and adhesion at low speed. Chips with a helical shape and low serrations have been investigated. Turning SS 316 at optimum machining parameters of 170 m/min cutting speed, 0.2 mm/rev feed rate, and 1 mm depth of cut, as obtained by the multiperformance optimization technique grey relational analysis, resulted in the best values of all machinability indicators: 242.21 µm tool flank wear, 3.81 µm mean roughness depth, and 34,000 mm(3)/min material removal rate, at a single parameter setting. In terms of research achievements, the percentage reduction in surface roughness is approximately 30% and represents an almost ten-fold improvement in the material removal rate. The combination of machining parameters of 70 m/min cutting speed, 0.1 mm/rev feed rate, and 0.5 mm depth of cut is optimum for the lowest value of tool flank wear when considered for single parameter optimization.
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spelling pubmed-103022822023-06-29 Sustainable Dry Machining of Stainless Steel with Microwave-Treated Tungsten Carbide Cutting Tools Babe, Itemogeng Bernatt Gupta, Kapil Chaubey, Sujeet Kumar Micromachines (Basel) Article This paper presents a research investigation conducted on the turning of stainless steel 316 material under a dry environment using microwave-treated cutting tool inserts. Plain tungsten carbide WC tool inserts were exposed to microwave treatment for enhancement of their performance characteristics. It was found that a 20-min microwave treatment resulted in the best tool hardness and metallurgical characteristics. These tool inserts have been used to machine SS 316 material following the Taguchi L(9) design of experimental techniques. A total of eighteen experiments have been conducted by varying three main machining parameters, i.e., cutting speed, feed rate, and depth of cut, at three levels per parameter. It has been found that tool flank wear increased with all three parameters and surface roughness decreased. At the longest dept of cut, surface roughness increased. An abrasion wear mechanism was found on the tool flank face at a high machining speed and adhesion at low speed. Chips with a helical shape and low serrations have been investigated. Turning SS 316 at optimum machining parameters of 170 m/min cutting speed, 0.2 mm/rev feed rate, and 1 mm depth of cut, as obtained by the multiperformance optimization technique grey relational analysis, resulted in the best values of all machinability indicators: 242.21 µm tool flank wear, 3.81 µm mean roughness depth, and 34,000 mm(3)/min material removal rate, at a single parameter setting. In terms of research achievements, the percentage reduction in surface roughness is approximately 30% and represents an almost ten-fold improvement in the material removal rate. The combination of machining parameters of 70 m/min cutting speed, 0.1 mm/rev feed rate, and 0.5 mm depth of cut is optimum for the lowest value of tool flank wear when considered for single parameter optimization. MDPI 2023-05-29 /pmc/articles/PMC10302282/ /pubmed/37374732 http://dx.doi.org/10.3390/mi14061148 Text en © 2023 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
Babe, Itemogeng Bernatt
Gupta, Kapil
Chaubey, Sujeet Kumar
Sustainable Dry Machining of Stainless Steel with Microwave-Treated Tungsten Carbide Cutting Tools
title Sustainable Dry Machining of Stainless Steel with Microwave-Treated Tungsten Carbide Cutting Tools
title_full Sustainable Dry Machining of Stainless Steel with Microwave-Treated Tungsten Carbide Cutting Tools
title_fullStr Sustainable Dry Machining of Stainless Steel with Microwave-Treated Tungsten Carbide Cutting Tools
title_full_unstemmed Sustainable Dry Machining of Stainless Steel with Microwave-Treated Tungsten Carbide Cutting Tools
title_short Sustainable Dry Machining of Stainless Steel with Microwave-Treated Tungsten Carbide Cutting Tools
title_sort sustainable dry machining of stainless steel with microwave-treated tungsten carbide cutting tools
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302282/
https://www.ncbi.nlm.nih.gov/pubmed/37374732
http://dx.doi.org/10.3390/mi14061148
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