Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method
In this paper, an attempt has been made to develop a mathematical model in order to study the relationship between laser cutting parameters such as laser power, cutting speed, assist gas pressure and focus position, and kerf taper angle obtained in CO2 laser cutting of AISI 304 stainless steel. To t...
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| Format: | Article |
| Language: | English |
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Growing Science
2015-01-01
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| Series: | Management Science Letters |
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| Online Access: | http://www.growingscience.com/ijiec/IJIEC_2014_33.pdf |
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| author | Miloš Madić Miroslav Radovanović Marin Gostimirović |
| author_facet | Miloš Madić Miroslav Radovanović Marin Gostimirović |
| author_sort | Miloš Madić |
| collection | DOAJ |
| description | In this paper, an attempt has been made to develop a mathematical model in order to study the relationship between laser cutting parameters such as laser power, cutting speed, assist gas pressure and focus position, and kerf taper angle obtained in CO2 laser cutting of AISI 304 stainless steel. To this aim, a single hidden layer artificial neural network (ANN) trained with gradient descent with momentum algorithm was used. To obtain an experimental database for the ANN training, laser cutting experiment was planned as per Taguchi’s L27 orthogonal array with three levels for each of the cutting parameters. Statistically assessed as adequate, ANN model was then used to investigate the effect of the laser cutting parameters on the kerf taper angle by generating 2D and 3D plots. It was observed that the kerf taper angle was highly sensitive to the selected laser cutting parameters, as well as their interactions. In addition to modeling, by applying the Monte Carlo method on the developed kerf taper angle ANN model, the near optimal laser cutting parameter settings, which minimize kerf taper angle, were determined. |
| format | Article |
| id | doaj-art-60c8b5426cea42a09c9ea8e4b4955b8f |
| institution | OA Journals |
| issn | 1923-2926 1923-9335 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Management Science Letters |
| spelling | doaj-art-60c8b5426cea42a09c9ea8e4b4955b8f2025-08-20T02:35:19ZengGrowing ScienceManagement Science Letters1923-29261923-93352015-01-0161334210.5267/j.ijiec.2014.9.003Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo methodMiloš MadićMiroslav Radovanović Marin GostimirovićIn this paper, an attempt has been made to develop a mathematical model in order to study the relationship between laser cutting parameters such as laser power, cutting speed, assist gas pressure and focus position, and kerf taper angle obtained in CO2 laser cutting of AISI 304 stainless steel. To this aim, a single hidden layer artificial neural network (ANN) trained with gradient descent with momentum algorithm was used. To obtain an experimental database for the ANN training, laser cutting experiment was planned as per Taguchi’s L27 orthogonal array with three levels for each of the cutting parameters. Statistically assessed as adequate, ANN model was then used to investigate the effect of the laser cutting parameters on the kerf taper angle by generating 2D and 3D plots. It was observed that the kerf taper angle was highly sensitive to the selected laser cutting parameters, as well as their interactions. In addition to modeling, by applying the Monte Carlo method on the developed kerf taper angle ANN model, the near optimal laser cutting parameter settings, which minimize kerf taper angle, were determined.http://www.growingscience.com/ijiec/IJIEC_2014_33.pdfCO2 laser cuttingKerf taperModelingOptimizationArtificial neural networkMonte Carlo method |
| spellingShingle | Miloš Madić Miroslav Radovanović Marin Gostimirović Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method Management Science Letters CO2 laser cutting Kerf taper Modeling Optimization Artificial neural network Monte Carlo method |
| title | Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method |
| title_full | Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method |
| title_fullStr | Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method |
| title_full_unstemmed | Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method |
| title_short | Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method |
| title_sort | ann modeling of kerf transfer in co2 laser cutting and optimization of cutting parameters using monte carlo method |
| topic | CO2 laser cutting Kerf taper Modeling Optimization Artificial neural network Monte Carlo method |
| url | http://www.growingscience.com/ijiec/IJIEC_2014_33.pdf |
| work_keys_str_mv | AT milosmadic annmodelingofkerftransferinco2lasercuttingandoptimizationofcuttingparametersusingmontecarlomethod AT miroslavradovanovic annmodelingofkerftransferinco2lasercuttingandoptimizationofcuttingparametersusingmontecarlomethod AT maringostimirovic annmodelingofkerftransferinco2lasercuttingandoptimizationofcuttingparametersusingmontecarlomethod |