Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method

Intermittent turning (IT) is characterized by a different context than continuous turning (CT). The cutting tool is shocked each time it goes off-load and engages a new surface. This interruption causes severe cutting conditions, which fatally affect the performance parameters. The purpose of this s...

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Main Authors: Fethi Khelfaoui, Mohammed Athmane Yallese, Septi Boucherit, Hanane Boumaaza, Nourdine Ouelaa
Format: Article
Language:English
Published: University of Kragujevac 2023-03-01
Series:Tribology in Industry
Subjects:
Online Access:http://www.tribology.rs/journals/2023/2023-1/2023-1-06.html
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author Fethi Khelfaoui
Mohammed Athmane Yallese
Septi Boucherit
Hanane Boumaaza
Nourdine Ouelaa
author_facet Fethi Khelfaoui
Mohammed Athmane Yallese
Septi Boucherit
Hanane Boumaaza
Nourdine Ouelaa
author_sort Fethi Khelfaoui
collection DOAJ
description Intermittent turning (IT) is characterized by a different context than continuous turning (CT). The cutting tool is shocked each time it goes off-load and engages a new surface. This interruption causes severe cutting conditions, which fatally affect the performance parameters. The purpose of this study is to assess the effects of four cutting factors, tool nose radius (r), cutting speed (Vc), feed rate (f), and depth of cut (ap), on the following output performance parameters: surface roughness (Ra), cutting temperature (T°), and cutting tool wear (VB) during turning (IT) AISI D3 cold work tool steel. A triple CVD (AI2O3/TiC/TiCN)-coated carbide cutting tool was used. A Taguchi L9 (3^4) experimental design was adopted for carrying out the experiments in intermittent turning. To improve the performance parameters based on three (3) highly particular scenarios that fulfill industrial criteria, the desirability function (DF) and the grey relational analysis method (GRA) were used. Finally, the optimization findings of the two strategies were compared in order to evaluate the performance of each method.
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spelling doaj.art-4a30e3fb674c4fef8b893759a331fe272023-06-12T07:43:03ZengUniversity of KragujevacTribology in Industry0354-89962217-79652023-03-014518910110.24874/ti.1395.10.22.01Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA MethodFethi Khelfaoui0https://orcid.org/0000-0001-6354-3246Mohammed Athmane Yallese1https://orcid.org/0000-0003-1686-7269Septi Boucherit2https://orcid.org/0000-0002-5455-7221Hanane Boumaaza3https://orcid.org/0000-0002-5096-5420Nourdine Ouelaa4https://orcid.org/0000-0002-7962-4988Laboratory of Mechanics and Structure (LMS), Department of Mechanical Engineering, University 8 May 1945, P.O. Box 401, 24000 Guelma, AlgeriaLaboratory of Mechanics and Structure (LMS), Department of Mechanical Engineering, University 8 May 1945, P.O. Box 401, 24000 Guelma, AlgeriaLaboratory of Mechanics and Structure (LMS), Department of Mechanical Engineering, University 8 May 1945, P.O. Box 401, 24000 Guelma, AlgeriaLaboratory of Applied Mechanics and New Materials (LAMNM), Department of Mechanical Engineering, University 8 May 1945, P.O. Box 401, 24000 Guelma, AlgeriaLaboratory of Mechanics and Structure (LMS), Department of Mechanical Engineering, University 8 May 1945, P.O. Box 401, 24000 Guelma, AlgeriaIntermittent turning (IT) is characterized by a different context than continuous turning (CT). The cutting tool is shocked each time it goes off-load and engages a new surface. This interruption causes severe cutting conditions, which fatally affect the performance parameters. The purpose of this study is to assess the effects of four cutting factors, tool nose radius (r), cutting speed (Vc), feed rate (f), and depth of cut (ap), on the following output performance parameters: surface roughness (Ra), cutting temperature (T°), and cutting tool wear (VB) during turning (IT) AISI D3 cold work tool steel. A triple CVD (AI2O3/TiC/TiCN)-coated carbide cutting tool was used. A Taguchi L9 (3^4) experimental design was adopted for carrying out the experiments in intermittent turning. To improve the performance parameters based on three (3) highly particular scenarios that fulfill industrial criteria, the desirability function (DF) and the grey relational analysis method (GRA) were used. Finally, the optimization findings of the two strategies were compared in order to evaluate the performance of each method.http://www.tribology.rs/journals/2023/2023-1/2023-1-06.htmlintermittent turningaisi d3rsmmodelinggra
spellingShingle Fethi Khelfaoui
Mohammed Athmane Yallese
Septi Boucherit
Hanane Boumaaza
Nourdine Ouelaa
Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method
Tribology in Industry
intermittent turning
aisi d3
rsm
modeling
gra
title Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method
title_full Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method
title_fullStr Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method
title_full_unstemmed Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method
title_short Minimizing Tool Wear, Cutting Temperature and Surface Roughness in the Intermittent Turning of AISI D3 Steel Using the DF and GRA Method
title_sort minimizing tool wear cutting temperature and surface roughness in the intermittent turning of aisi d3 steel using the df and gra method
topic intermittent turning
aisi d3
rsm
modeling
gra
url http://www.tribology.rs/journals/2023/2023-1/2023-1-06.html
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