Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method

This paper presents a study on multi-objective optimization of turning process AISI 1055 steel. It designs 9 experiments (L9) for a Taguchi test series matrix. The four parameters of input include spindle speed, feed rate, depth of cut, tool nose radius. The AISI 1055 steel machining operation exper...

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Main Authors: S. Nguyen Hong, U. Vo Thi Nhu
Format: Article
Language:English
Published: University of Kragujevac 2021-03-01
Series:Tribology in Industry
Subjects:
mrr
Online Access:http://www.tribology.rs/journals/2021/2021-1/2021-1-05.html
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spelling doaj-9e6d50dde8f546a1be45a3ff33f7a6a12021-04-13T09:34:23ZengUniversity of KragujevacTribology in Industry0354-89962217-79652021-03-01431576510.24874/ti.1006.11.20.01Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR MethodS. Nguyen Hong0https://orcid.org/0000-0003-4665-0984U. Vo Thi Nhu1https://orcid.org/0000-0003-0402-3202Center for Mechanical Engineering, Hanoi University of Industry, Hanoi City, VietnamFaculty of Mechanical Engineering, Hanoi University of Industry, Hanoi City, VietnamThis paper presents a study on multi-objective optimization of turning process AISI 1055 steel. It designs 9 experiments (L9) for a Taguchi test series matrix. The four parameters of input include spindle speed, feed rate, depth of cut, tool nose radius. The AISI 1055 steel machining operation experiments are carried out based on the matrix created. They are performed on a conventional lathe. The factors considered for evaluating the machining quality include surface roughness, cutting force in X, Y, Z directions and material removal rate (MRR). First, the research is carried out to identify the impact of the input parameters on the output parameters. Analysis of experimental results show that spindle speed significantly affects all three components of cutting force, but slightly influences the surface roughness. Regarding feed rate, this is the parameter that has a strong effect on surface roughness and cutting force Fx but not on the cutting force Fy and Fz. Meanwhile, the depth of cut has a considerable influence on the force in the x and y directions but a limited impact on the surface roughness and the force in the z direction. Similar to the cutting speed, the tool nose radius is noticeable to all three components of the cutting force and negligible to surface roughness. The second aim of this study is to determine the value of the cutting parameters to achieve the minimum of surface roughness and cutting force and the maximum of MRR. The Data Envelopment Analysis-based Ranking (Dear) method is applied to solve multi-objective problems. The paper identified the optimum values of spindle speed, feed rate, depth of cut and tool nose radius are 910 rev/min, 0.194 mm/rev, 0.2 mm and 0.2 mm, respectively.http://www.tribology.rs/journals/2021/2021-1/2021-1-05.htmlturning aisi 1055 steelmulti-objective optimizationsurface roughnesscutting forcemrrtaguchidear
collection DOAJ
language English
format Article
sources DOAJ
author S. Nguyen Hong
U. Vo Thi Nhu
spellingShingle S. Nguyen Hong
U. Vo Thi Nhu
Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method
Tribology in Industry
turning aisi 1055 steel
multi-objective optimization
surface roughness
cutting force
mrr
taguchi
dear
author_facet S. Nguyen Hong
U. Vo Thi Nhu
author_sort S. Nguyen Hong
title Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method
title_short Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method
title_full Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method
title_fullStr Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method
title_full_unstemmed Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method
title_sort multi-objective optimization in turning operation of aisi 1055 steel using dear method
publisher University of Kragujevac
series Tribology in Industry
issn 0354-8996
2217-7965
publishDate 2021-03-01
description This paper presents a study on multi-objective optimization of turning process AISI 1055 steel. It designs 9 experiments (L9) for a Taguchi test series matrix. The four parameters of input include spindle speed, feed rate, depth of cut, tool nose radius. The AISI 1055 steel machining operation experiments are carried out based on the matrix created. They are performed on a conventional lathe. The factors considered for evaluating the machining quality include surface roughness, cutting force in X, Y, Z directions and material removal rate (MRR). First, the research is carried out to identify the impact of the input parameters on the output parameters. Analysis of experimental results show that spindle speed significantly affects all three components of cutting force, but slightly influences the surface roughness. Regarding feed rate, this is the parameter that has a strong effect on surface roughness and cutting force Fx but not on the cutting force Fy and Fz. Meanwhile, the depth of cut has a considerable influence on the force in the x and y directions but a limited impact on the surface roughness and the force in the z direction. Similar to the cutting speed, the tool nose radius is noticeable to all three components of the cutting force and negligible to surface roughness. The second aim of this study is to determine the value of the cutting parameters to achieve the minimum of surface roughness and cutting force and the maximum of MRR. The Data Envelopment Analysis-based Ranking (Dear) method is applied to solve multi-objective problems. The paper identified the optimum values of spindle speed, feed rate, depth of cut and tool nose radius are 910 rev/min, 0.194 mm/rev, 0.2 mm and 0.2 mm, respectively.
topic turning aisi 1055 steel
multi-objective optimization
surface roughness
cutting force
mrr
taguchi
dear
url http://www.tribology.rs/journals/2021/2021-1/2021-1-05.html
work_keys_str_mv AT snguyenhong multiobjectiveoptimizationinturningoperationofaisi1055steelusingdearmethod
AT uvothinhu multiobjectiveoptimizationinturningoperationofaisi1055steelusingdearmethod
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