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Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach

This research investigates the machinability of Inconel 718 under conventional machining speeds using three different tool coatings in comparison with uncoated tool during milling operation. Cutting speed, feed rate and depth of cut were selected as variable machining parameters to analyze output re...

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Autores principales: Sheheryar, Muhammad, Khan, Muhammad Ali, Jaffery, Syed Husain Imran, Alruqi, Mansoor, Khan, Rehan, Bashir, M. Nasir, Petru, Jana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736743/
https://www.ncbi.nlm.nih.gov/pubmed/36499794
http://dx.doi.org/10.3390/ma15238296
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author Sheheryar, Muhammad
Khan, Muhammad Ali
Jaffery, Syed Husain Imran
Alruqi, Mansoor
Khan, Rehan
Bashir, M. Nasir
Petru, Jana
author_facet Sheheryar, Muhammad
Khan, Muhammad Ali
Jaffery, Syed Husain Imran
Alruqi, Mansoor
Khan, Rehan
Bashir, M. Nasir
Petru, Jana
author_sort Sheheryar, Muhammad
collection PubMed
description This research investigates the machinability of Inconel 718 under conventional machining speeds using three different tool coatings in comparison with uncoated tool during milling operation. Cutting speed, feed rate and depth of cut were selected as variable machining parameters to analyze output responses including surface roughness, burr formation and tool wear. It was found that uncoated and AlTiN coated tools resulted in lower tool wear than nACo and TiSiN coated tools. On the other hand, TiSiN coated tools resulted in highest surface roughness and burr formation. Among the three machining parameters, feed was identified as the most influential parameter affecting burr formation. Grey relational analysis identified the most optimal experimental run with a speed of 14 m/min, feed of 1 μm/tooth, and depth of cut of 70 μm using an AlTiN coated tool. ANOVA of the regression model identified the tool coating parameter as most effective, with a contribution ratio of 41.64%, whereas cutting speed and depth of cut were found to have contribution ratios of 18.82% and 8.10%, respectively. Experimental run at response surface optimized conditions resulted in reduced surface roughness and tool wear by 18% and 20%, respectively.
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spelling pubmed-97367432022-12-11 Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach Sheheryar, Muhammad Khan, Muhammad Ali Jaffery, Syed Husain Imran Alruqi, Mansoor Khan, Rehan Bashir, M. Nasir Petru, Jana Materials (Basel) Article This research investigates the machinability of Inconel 718 under conventional machining speeds using three different tool coatings in comparison with uncoated tool during milling operation. Cutting speed, feed rate and depth of cut were selected as variable machining parameters to analyze output responses including surface roughness, burr formation and tool wear. It was found that uncoated and AlTiN coated tools resulted in lower tool wear than nACo and TiSiN coated tools. On the other hand, TiSiN coated tools resulted in highest surface roughness and burr formation. Among the three machining parameters, feed was identified as the most influential parameter affecting burr formation. Grey relational analysis identified the most optimal experimental run with a speed of 14 m/min, feed of 1 μm/tooth, and depth of cut of 70 μm using an AlTiN coated tool. ANOVA of the regression model identified the tool coating parameter as most effective, with a contribution ratio of 41.64%, whereas cutting speed and depth of cut were found to have contribution ratios of 18.82% and 8.10%, respectively. Experimental run at response surface optimized conditions resulted in reduced surface roughness and tool wear by 18% and 20%, respectively. MDPI 2022-11-22 /pmc/articles/PMC9736743/ /pubmed/36499794 http://dx.doi.org/10.3390/ma15238296 Text en © 2022 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
Sheheryar, Muhammad
Khan, Muhammad Ali
Jaffery, Syed Husain Imran
Alruqi, Mansoor
Khan, Rehan
Bashir, M. Nasir
Petru, Jana
Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach
title Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach
title_full Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach
title_fullStr Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach
title_full_unstemmed Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach
title_short Multi-Objective Optimization of Process Parameters during Micro-Milling of Nickel-Based Alloy Inconel 718 Using Taguchi-Grey Relation Integrated Approach
title_sort multi-objective optimization of process parameters during micro-milling of nickel-based alloy inconel 718 using taguchi-grey relation integrated approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736743/
https://www.ncbi.nlm.nih.gov/pubmed/36499794
http://dx.doi.org/10.3390/ma15238296
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