Analysis of the heat affected zone in CO2 laser cutting of stainless steel

Thermal Science

卷:16

关键词: CO2 laser cutting;    heat affected zone;    modelling;    stainless steel;    artificial neural network;   

DOI  :  10.2298/TSCI120424175M

来源: DOAJ

【 摘 要 】

This paper presents an investigation into the effect of the laser cuttingparameters on the heat affected zone in CO2 laser cutting of AISI 304stainless steel. The mathematical model for the heat affected zone wasexpressed as a function of the laser cutting parameters such as the laserpower, cutting speed, assist gas pressure and focus position using theartificial neural network. To obtain experimental database for theartificial neural network training, laser cutting experiment was planned asper Taguchi’s L27 orthogonal array with three levels for each of the cuttingparameter. Using the 27 experimental data sets, the artificial neuralnetwork was trained with gradient descent with momentum algorithm and theaverage absolute percentage error was 2.33%. The testing accuracy was thenverified with 6 extra experimental data sets and the average predictingerror was 6.46%. Statistically assessed as adequate, the artificial neuralnetwork model was then used to investigate the effect of the laser cuttingparameters on the heat affected zone. To analyze the main and interactioneffect of the laser cutting parameters on the heat affected zone, 2-D and3-D plots were generated. The analysis revealed that the cutting speed hadmaximum influence on the heat affected zone followed by the laser power,focus position and assist gas pressure. Finally, using the Monte Carlomethod the optimal laser cutting parameter values that minimize the heataffected zone were identified.

【 授权许可】

Unknown