A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters
This study deals with the selection of the cutting process using the grey fuzzy relation approach. The analysis was performed using plasma arc machining, laser beam machining, and abrasive waterjet machining on three different workpiece thicknesses with different cutting speeds. The objective was to...
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| Format: | Article |
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MDPI AG
2022-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/24/12589 |
| _version_ | 1797461622939189248 |
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| author | Dejan Lukic Robert Cep Mijodrag Milosevic Aco Antic Aleksandar Zivkovic Vladimir Todic Dragan Rodic |
| author_facet | Dejan Lukic Robert Cep Mijodrag Milosevic Aco Antic Aleksandar Zivkovic Vladimir Todic Dragan Rodic |
| author_sort | Dejan Lukic |
| collection | DOAJ |
| description | This study deals with the selection of the cutting process using the grey fuzzy relation approach. The analysis was performed using plasma arc machining, laser beam machining, and abrasive waterjet machining on three different workpiece thicknesses with different cutting speeds. The objective was to select the best cutting process considering several performance characteristics such as machining time, dimensional accuracy, kerf width, and surface roughness. Data normalization, grey relation coefficients, fuzzy inference system, and grey fuzzy relation grade are used to evaluate the machining performances of the machining processes. The developed fuzzy model can be used to study the effects of different cutting processes on technological features. The results show that the grey fuzzy technique can be effectively used for the analysis and selection of cutting processes. |
| first_indexed | 2024-03-09T17:23:00Z |
| format | Article |
| id | doaj.art-6239ae2b439a487fab99a7a1f6d1d580 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T17:23:00Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj.art-6239ae2b439a487fab99a7a1f6d1d5802023-11-24T13:01:15ZengMDPI AGApplied Sciences2076-34172022-12-0112241258910.3390/app122412589A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological ParametersDejan Lukic0Robert Cep1Mijodrag Milosevic2Aco Antic3Aleksandar Zivkovic4Vladimir Todic5Dragan Rodic6Department of Production Engineering, Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaDepartment of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, Technical University of Ostrava, 70800 Ostrava, Czech RepublicDepartment of Production Engineering, Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaDepartment of Production Engineering, Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaDepartment of Production Engineering, Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaDepartment of Industrial Engineering and Engineering Management, Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaDepartment of Production Engineering, Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaThis study deals with the selection of the cutting process using the grey fuzzy relation approach. The analysis was performed using plasma arc machining, laser beam machining, and abrasive waterjet machining on three different workpiece thicknesses with different cutting speeds. The objective was to select the best cutting process considering several performance characteristics such as machining time, dimensional accuracy, kerf width, and surface roughness. Data normalization, grey relation coefficients, fuzzy inference system, and grey fuzzy relation grade are used to evaluate the machining performances of the machining processes. The developed fuzzy model can be used to study the effects of different cutting processes on technological features. The results show that the grey fuzzy technique can be effectively used for the analysis and selection of cutting processes.https://www.mdpi.com/2076-3417/12/24/12589fuzzy logicgrey relational analysisselecting machine toolmachining timedimensional accuracysurface quality |
| spellingShingle | Dejan Lukic Robert Cep Mijodrag Milosevic Aco Antic Aleksandar Zivkovic Vladimir Todic Dragan Rodic A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters Applied Sciences fuzzy logic grey relational analysis selecting machine tool machining time dimensional accuracy surface quality |
| title | A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters |
| title_full | A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters |
| title_fullStr | A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters |
| title_full_unstemmed | A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters |
| title_short | A Grey Fuzzy Approach to the Selection of Cutting Process from the Aspect of Technological Parameters |
| title_sort | grey fuzzy approach to the selection of cutting process from the aspect of technological parameters |
| topic | fuzzy logic grey relational analysis selecting machine tool machining time dimensional accuracy surface quality |
| url | https://www.mdpi.com/2076-3417/12/24/12589 |
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