Modeling and Simulated Annealing Optimization of Surface Roughness in CO2 Laser Nitrogen Cutting of Stainless Steel
This paper presents a systematic methodology for empirical modeling and optimization of surface roughness in nitrogen, CO2 laser cutting of stainless steel . The surface roughness prediction model was developed in terms of laser power , cutting speed , assist gas pressure and focus position by using...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Kragujevac
2013-09-01
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| Series: | Tribology in Industry |
| Subjects: | |
| Online Access: | http://www.tribology.fink.rs/journals/2013/2013-3/1.pdf |
| _version_ | 1818213295177334784 |
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| author | M. Madić M. Radovanović B. Nedić |
| author_facet | M. Madić M. Radovanović B. Nedić |
| author_sort | M. Madić |
| collection | DOAJ |
| description | This paper presents a systematic methodology for empirical modeling and optimization of surface roughness in nitrogen, CO2 laser cutting of stainless steel . The surface roughness prediction model was developed in terms of laser power , cutting speed , assist gas pressure and focus position by using The artificial neural network ( ANN ) . To cover a wider range of laser cutting parameters and obtain an experimental database for the ANN model development, Taguchi 's L27 orthogonal array was implemented in the experimental plan. The developed ANN model was expressed as an explicit nonlinear function , while the influence of laser cutting parameters and their interactions on surface roughness were analyzed by generating 2D and 3D plots . The final goal of the experimental study Focuses on the determinationof the optimum laser cutting parameters for the minimization of surface roughness . Since the solution space of the developed ANN model is complex, and the possibility of many local solutions is great, simulated annealing (SA) was selected as a method for the optimization of surface roughness. |
| first_indexed | 2024-12-12T06:02:01Z |
| format | Article |
| id | doaj.art-5a51e6e4e6c046798168fd4f2d4c52b7 |
| institution | Directory Open Access Journal |
| issn | 0354-8996 2217-7965 |
| language | English |
| last_indexed | 2024-12-12T06:02:01Z |
| publishDate | 2013-09-01 |
| publisher | University of Kragujevac |
| record_format | Article |
| series | Tribology in Industry |
| spelling | doaj.art-5a51e6e4e6c046798168fd4f2d4c52b72022-12-22T00:35:23ZengUniversity of KragujevacTribology in Industry0354-89962217-79652013-09-01353167176Modeling and Simulated Annealing Optimization of Surface Roughness in CO2 Laser Nitrogen Cutting of Stainless SteelM. MadićM. RadovanovićB. NedićThis paper presents a systematic methodology for empirical modeling and optimization of surface roughness in nitrogen, CO2 laser cutting of stainless steel . The surface roughness prediction model was developed in terms of laser power , cutting speed , assist gas pressure and focus position by using The artificial neural network ( ANN ) . To cover a wider range of laser cutting parameters and obtain an experimental database for the ANN model development, Taguchi 's L27 orthogonal array was implemented in the experimental plan. The developed ANN model was expressed as an explicit nonlinear function , while the influence of laser cutting parameters and their interactions on surface roughness were analyzed by generating 2D and 3D plots . The final goal of the experimental study Focuses on the determinationof the optimum laser cutting parameters for the minimization of surface roughness . Since the solution space of the developed ANN model is complex, and the possibility of many local solutions is great, simulated annealing (SA) was selected as a method for the optimization of surface roughness.http://www.tribology.fink.rs/journals/2013/2013-3/1.pdfSurface RoughnessCO2 Laser Cutting NitrogenArtificial Neural NetworksSimulated AnnealingOptimization |
| spellingShingle | M. Madić M. Radovanović B. Nedić Modeling and Simulated Annealing Optimization of Surface Roughness in CO2 Laser Nitrogen Cutting of Stainless Steel Tribology in Industry Surface Roughness CO2 Laser Cutting Nitrogen Artificial Neural Networks Simulated Annealing Optimization |
| title | Modeling and Simulated Annealing Optimization of Surface Roughness in CO2 Laser Nitrogen Cutting of Stainless Steel |
| title_full | Modeling and Simulated Annealing Optimization of Surface Roughness in CO2 Laser Nitrogen Cutting of Stainless Steel |
| title_fullStr | Modeling and Simulated Annealing Optimization of Surface Roughness in CO2 Laser Nitrogen Cutting of Stainless Steel |
| title_full_unstemmed | Modeling and Simulated Annealing Optimization of Surface Roughness in CO2 Laser Nitrogen Cutting of Stainless Steel |
| title_short | Modeling and Simulated Annealing Optimization of Surface Roughness in CO2 Laser Nitrogen Cutting of Stainless Steel |
| title_sort | modeling and simulated annealing optimization of surface roughness in co2 laser nitrogen cutting of stainless steel |
| topic | Surface Roughness CO2 Laser Cutting Nitrogen Artificial Neural Networks Simulated Annealing Optimization |
| url | http://www.tribology.fink.rs/journals/2013/2013-3/1.pdf |
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