Modeling and Simulated Annealing Optimization of Surface Roughness in CO[sub]2[/sub] Laser Nitrogen Cutting of Stainless Steel
Journal Title: Tribology in Industry - Year 2013, Vol 35, Issue 3
Abstract
This paper presents a systematic methodology for empirical modeling and optimization of surface roughness in CO2 laser nitrogen 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 determination of the optimal 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.
Authors and Affiliations
M. Madić , B. Nedić
Keywords
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