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A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718
This paper focuses on an analysis of tool wear and optimum machining parameter in the induction assisted milling of Inconel 718 using high heat coated carbide and uncoated carbide tools. Thermally assisted machining is an effective machining method for difficult-to-cut materials such as nickel-based...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356316/ https://www.ncbi.nlm.nih.gov/pubmed/30641907 http://dx.doi.org/10.3390/ma12020233 |
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author | Kim, Eun Jung Lee, Choon Man |
author_facet | Kim, Eun Jung Lee, Choon Man |
author_sort | Kim, Eun Jung |
collection | PubMed |
description | This paper focuses on an analysis of tool wear and optimum machining parameter in the induction assisted milling of Inconel 718 using high heat coated carbide and uncoated carbide tools. Thermally assisted machining is an effective machining method for difficult-to-cut materials such as nickel-based superalloy, titanium alloy, etc. Thermally assisted machining is a method of softening the workpiece by preheating using a heat source, such as a laser, plasma or induction heating. Induction assisted milling is a type of thermally assisted machining; induction preheating uses eddy-currents and magnetic force. Induction assisted milling has the advantages of being eco-friendly and economical. Additionally, the preheating temperature can be easily controlled. In this study, the Taguchi method is used to obtain the major parameters for the analysis of cutting force, surface roughness and tool wear of coated and uncoated tools under various machining conditions. Before machining experiments, a finite element analysis is performed to select the effective depth of the cut. The S/N ratio and ANOVA of the cutting force, surface roughness and tool wear are analyzed, and the response optimization method is used to suggest the optimal machining parameters. |
format | Online Article Text |
id | pubmed-6356316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63563162019-02-04 A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718 Kim, Eun Jung Lee, Choon Man Materials (Basel) Article This paper focuses on an analysis of tool wear and optimum machining parameter in the induction assisted milling of Inconel 718 using high heat coated carbide and uncoated carbide tools. Thermally assisted machining is an effective machining method for difficult-to-cut materials such as nickel-based superalloy, titanium alloy, etc. Thermally assisted machining is a method of softening the workpiece by preheating using a heat source, such as a laser, plasma or induction heating. Induction assisted milling is a type of thermally assisted machining; induction preheating uses eddy-currents and magnetic force. Induction assisted milling has the advantages of being eco-friendly and economical. Additionally, the preheating temperature can be easily controlled. In this study, the Taguchi method is used to obtain the major parameters for the analysis of cutting force, surface roughness and tool wear of coated and uncoated tools under various machining conditions. Before machining experiments, a finite element analysis is performed to select the effective depth of the cut. The S/N ratio and ANOVA of the cutting force, surface roughness and tool wear are analyzed, and the response optimization method is used to suggest the optimal machining parameters. MDPI 2019-01-11 /pmc/articles/PMC6356316/ /pubmed/30641907 http://dx.doi.org/10.3390/ma12020233 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Eun Jung Lee, Choon Man A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718 |
title | A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718 |
title_full | A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718 |
title_fullStr | A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718 |
title_full_unstemmed | A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718 |
title_short | A Study on the Optimal Machining Parameters of the Induction Assisted Milling with Inconel 718 |
title_sort | study on the optimal machining parameters of the induction assisted milling with inconel 718 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356316/ https://www.ncbi.nlm.nih.gov/pubmed/30641907 http://dx.doi.org/10.3390/ma12020233 |
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