Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Eun Jung, Lee, Choon Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783391505939955712
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
work_keys_str_mv AT kimeunjung astudyontheoptimalmachiningparametersoftheinductionassistedmillingwithinconel718
AT leechoonman astudyontheoptimalmachiningparametersoftheinductionassistedmillingwithinconel718
AT kimeunjung studyontheoptimalmachiningparametersoftheinductionassistedmillingwithinconel718
AT leechoonman studyontheoptimalmachiningparametersoftheinductionassistedmillingwithinconel718