Combining Taguchi method and DEAR method for multi-objective optimization of grinding process
In this paper, a study on multi-objective optimization of the cylindrical grinding process is presented. The experimental material used in this study is X12M steel. The two output parameters of the grinding process considered in this study are surface roughness and material removal rate (MRR). The c...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/85/e3sconf_icmed2021_01220.pdf |
| _version_ | 1818937395684311040 |
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| author | Trung Do Duc Quang Nguyen Huu Cuong Dang Quoc Linh Nguyen Hong Tuan Nguyen Van. Hung Le Xuan Tuan Nguyen Anh |
| author_facet | Trung Do Duc Quang Nguyen Huu Cuong Dang Quoc Linh Nguyen Hong Tuan Nguyen Van. Hung Le Xuan Tuan Nguyen Anh |
| author_sort | Trung Do Duc |
| collection | DOAJ |
| description | In this paper, a study on multi-objective optimization of the cylindrical grinding process is presented. The experimental material used in this study is X12M steel. The two output parameters of the grinding process considered in this study are surface roughness and material removal rate (MRR). The cutting mode parameters including cutting speed, feed rate, and cutting depth have been selected as input parameters of the experimental process. Experimental matrix by Taguchi method has been used to design a matrix with 27 experiments. Analysis of experimental results by Pareto chart has determined the effect of input parameters on output parameters. The Data Envelopment Analysis-based Ranking (DEAR) method has been applied to determine the values of input parameters to simultaneously ensure the two criteria of minimum surface roughness and maximum MRR. Finally, the development direction for further studies has also been recommended in this study. |
| first_indexed | 2024-12-20T05:51:17Z |
| format | Article |
| id | doaj.art-c4dcf97dcd0544458a6f8e36515d172e |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-20T05:51:17Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-c4dcf97dcd0544458a6f8e36515d172e2022-12-21T19:51:10ZengEDP SciencesE3S Web of Conferences2267-12422021-01-013090122010.1051/e3sconf/202130901220e3sconf_icmed2021_01220Combining Taguchi method and DEAR method for multi-objective optimization of grinding processTrung Do Duc0Quang Nguyen Huu1Cuong Dang Quoc2Linh Nguyen Hong3Tuan Nguyen Van.4Hung Le Xuan5Tuan Nguyen Anh6Ha Noi University of IndustryUniversity of Economics - Technology for IndustriesNguyen Tat Thanh University, Ho Chi Minh CityElectric Power UniversityHa Noi University of IndustryThai Nguyen University of TechnologyUniversity of Economics - Technology for IndustriesIn this paper, a study on multi-objective optimization of the cylindrical grinding process is presented. The experimental material used in this study is X12M steel. The two output parameters of the grinding process considered in this study are surface roughness and material removal rate (MRR). The cutting mode parameters including cutting speed, feed rate, and cutting depth have been selected as input parameters of the experimental process. Experimental matrix by Taguchi method has been used to design a matrix with 27 experiments. Analysis of experimental results by Pareto chart has determined the effect of input parameters on output parameters. The Data Envelopment Analysis-based Ranking (DEAR) method has been applied to determine the values of input parameters to simultaneously ensure the two criteria of minimum surface roughness and maximum MRR. Finally, the development direction for further studies has also been recommended in this study.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/85/e3sconf_icmed2021_01220.pdfcylindrical grindingx12m steelsurface roughnessmrrmulti-objective optimizationtaguchidear |
| spellingShingle | Trung Do Duc Quang Nguyen Huu Cuong Dang Quoc Linh Nguyen Hong Tuan Nguyen Van. Hung Le Xuan Tuan Nguyen Anh Combining Taguchi method and DEAR method for multi-objective optimization of grinding process E3S Web of Conferences cylindrical grinding x12m steel surface roughness mrr multi-objective optimization taguchi dear |
| title | Combining Taguchi method and DEAR method for multi-objective optimization of grinding process |
| title_full | Combining Taguchi method and DEAR method for multi-objective optimization of grinding process |
| title_fullStr | Combining Taguchi method and DEAR method for multi-objective optimization of grinding process |
| title_full_unstemmed | Combining Taguchi method and DEAR method for multi-objective optimization of grinding process |
| title_short | Combining Taguchi method and DEAR method for multi-objective optimization of grinding process |
| title_sort | combining taguchi method and dear method for multi objective optimization of grinding process |
| topic | cylindrical grinding x12m steel surface roughness mrr multi-objective optimization taguchi dear |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/85/e3sconf_icmed2021_01220.pdf |
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