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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Main Authors: Miloš Madić, Miroslav Radovanović, Marin Gostimirović
Format: Article
Language:English
Published: Growing Science 2015-01-01
Series:Management Science Letters
Subjects:
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.
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institution OA Journals
issn 1923-2926
1923-9335
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publishDate 2015-01-01
publisher Growing Science
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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