Combination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process

This study presentes a combination method of several optimization techniques and Taguchi method to solve the multi-objective optimization problem for surface grinding process of SKD11 steel. The optimization techniques that were used in this study were Multi-Objective Optimization on basis of Ratio...

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Autores principales: Nguyen Nhu-Tung, Trung Do Duc
Formato: article
Lenguaje:EN
Publicado: Institut za istrazivanja i projektovanja u privredi 2021
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Acceso en línea:https://doaj.org/article/e6b66bfb4d7e4aa8b18b327b7a1e005e
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spelling oai:doaj.org-article:e6b66bfb4d7e4aa8b18b327b7a1e005e2021-12-05T21:23:07ZCombination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process1451-41171821-319710.5937/jaes0-28702https://doaj.org/article/e6b66bfb4d7e4aa8b18b327b7a1e005e2021-01-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/1451-4117/2021/1451-41172102390N.pdfhttps://doaj.org/toc/1451-4117https://doaj.org/toc/1821-3197This study presentes a combination method of several optimization techniques and Taguchi method to solve the multi-objective optimization problem for surface grinding process of SKD11 steel. The optimization techniques that were used in this study were Multi-Objective Optimization on basis of Ratio Analysis (MOORA) and Complex Proportional Assessment (COPRAS). In surface grinding process, two parameters that were chosen as the evaluation criterias were surface roughness (Ra) and material removal rate (MRR). The orthogonal Taguchi L16 matrix was chosen to design the experimental matrix with two input parameters namely workpiece velocity and depth of cut. The two optimization techniques that mentioned above were applied to solve the multi-objective optimization problem in the grinding process. Using two above techniques, the optimized results of the cutting parameters were the same. The optimal values of workpiece velocity and cutting depth were 20 m/min and 0.02 mm, respectively. Corresponding to these optimal values of the workpiece velocity and cutting depth, the surface roughness and material removal rate were 1.16 µm and 86.67 mm3/s. These proposed techniques and method can be used to improve the quality and effectiveness of grinding processes by reducing the surface roughness and increasing the material removal rate.Nguyen Nhu-TungTrung Do DucInstitut za istrazivanja i projektovanja u privrediarticlemulti-objective optimizationsurface grindingskd11 steelmooracoprastaguchisurface roughnessmrrTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENIstrazivanja i projektovanja za privredu, Vol 19, Iss 2, Pp 390-398 (2021)
institution DOAJ
collection DOAJ
language EN
topic multi-objective optimization
surface grinding
skd11 steel
moora
copras
taguchi
surface roughness
mrr
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle multi-objective optimization
surface grinding
skd11 steel
moora
copras
taguchi
surface roughness
mrr
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Nguyen Nhu-Tung
Trung Do Duc
Combination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process
description This study presentes a combination method of several optimization techniques and Taguchi method to solve the multi-objective optimization problem for surface grinding process of SKD11 steel. The optimization techniques that were used in this study were Multi-Objective Optimization on basis of Ratio Analysis (MOORA) and Complex Proportional Assessment (COPRAS). In surface grinding process, two parameters that were chosen as the evaluation criterias were surface roughness (Ra) and material removal rate (MRR). The orthogonal Taguchi L16 matrix was chosen to design the experimental matrix with two input parameters namely workpiece velocity and depth of cut. The two optimization techniques that mentioned above were applied to solve the multi-objective optimization problem in the grinding process. Using two above techniques, the optimized results of the cutting parameters were the same. The optimal values of workpiece velocity and cutting depth were 20 m/min and 0.02 mm, respectively. Corresponding to these optimal values of the workpiece velocity and cutting depth, the surface roughness and material removal rate were 1.16 µm and 86.67 mm3/s. These proposed techniques and method can be used to improve the quality and effectiveness of grinding processes by reducing the surface roughness and increasing the material removal rate.
format article
author Nguyen Nhu-Tung
Trung Do Duc
author_facet Nguyen Nhu-Tung
Trung Do Duc
author_sort Nguyen Nhu-Tung
title Combination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process
title_short Combination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process
title_full Combination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process
title_fullStr Combination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process
title_full_unstemmed Combination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process
title_sort combination of taguchi method, moora and copras techniques in multi-objective optimization of surface grinding process
publisher Institut za istrazivanja i projektovanja u privredi
publishDate 2021
url https://doaj.org/article/e6b66bfb4d7e4aa8b18b327b7a1e005e
work_keys_str_mv AT nguyennhutung combinationoftaguchimethodmooraandcoprastechniquesinmultiobjectiveoptimizationofsurfacegrindingprocess
AT trungdoduc combinationoftaguchimethodmooraandcoprastechniquesinmultiobjectiveoptimizationofsurfacegrindingprocess
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