GA based CNC turning center exploitation process parameters optimization
This paper presents machining parameters (turning process) optimization based on the use of artificial intelligence. To obtain greater efficiency and productivity of the machine tool, optimal cutting parameters have to be obtained. In order to find optimal cutting parameters, the genetic algorithm (...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Metallurgical Society
2009-01-01
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| Series: | Metalurgija |
| Subjects: | |
| Online Access: | http://public.carnet.hr/metalurg/Metalurgija/2009_vol_48/No_1/MET_48_1_47_50_Car.pdf |
| _version_ | 1811295705660129280 |
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| author | Z. Car B. Barisic M. Ikonic |
| author_facet | Z. Car B. Barisic M. Ikonic |
| author_sort | Z. Car |
| collection | DOAJ |
| description | This paper presents machining parameters (turning process) optimization based on the use of artificial intelligence. To obtain greater efficiency and productivity of the machine tool, optimal cutting parameters have to be obtained. In order to find optimal cutting parameters, the genetic algorithm (GA) has been used as an optimal solution finder. Optimization has to yield minimum machining time and minimum production cost, while considering technological and material constrains. |
| first_indexed | 2024-04-13T05:37:27Z |
| format | Article |
| id | doaj.art-6b160051afe243d6b14452f4c82efb3d |
| institution | Directory Open Access Journal |
| issn | 0543-5846 1334-2576 |
| language | English |
| last_indexed | 2024-04-13T05:37:27Z |
| publishDate | 2009-01-01 |
| publisher | Croatian Metallurgical Society |
| record_format | Article |
| series | Metalurgija |
| spelling | doaj.art-6b160051afe243d6b14452f4c82efb3d2022-12-22T03:00:14ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762009-01-014814750GA based CNC turning center exploitation process parameters optimizationZ. CarB. BarisicM. IkonicThis paper presents machining parameters (turning process) optimization based on the use of artificial intelligence. To obtain greater efficiency and productivity of the machine tool, optimal cutting parameters have to be obtained. In order to find optimal cutting parameters, the genetic algorithm (GA) has been used as an optimal solution finder. Optimization has to yield minimum machining time and minimum production cost, while considering technological and material constrains.http://public.carnet.hr/metalurg/Metalurgija/2009_vol_48/No_1/MET_48_1_47_50_Car.pdfmulti-objective optimizationmachining parametersgenetic algorithm |
| spellingShingle | Z. Car B. Barisic M. Ikonic GA based CNC turning center exploitation process parameters optimization Metalurgija multi-objective optimization machining parameters genetic algorithm |
| title | GA based CNC turning center exploitation process parameters optimization |
| title_full | GA based CNC turning center exploitation process parameters optimization |
| title_fullStr | GA based CNC turning center exploitation process parameters optimization |
| title_full_unstemmed | GA based CNC turning center exploitation process parameters optimization |
| title_short | GA based CNC turning center exploitation process parameters optimization |
| title_sort | ga based cnc turning center exploitation process parameters optimization |
| topic | multi-objective optimization machining parameters genetic algorithm |
| url | http://public.carnet.hr/metalurg/Metalurgija/2009_vol_48/No_1/MET_48_1_47_50_Car.pdf |
| work_keys_str_mv | AT zcar gabasedcncturningcenterexploitationprocessparametersoptimization AT bbarisic gabasedcncturningcenterexploitationprocessparametersoptimization AT mikonic gabasedcncturningcenterexploitationprocessparametersoptimization |