publication . Article . 2013

Modeling and Simulated Annealing Optimization of Surface Roughness in CO2 Laser Nitrogen Cutting of Stainless Steel

M. Madić; M. Radovanović; B. Nedić;
Open Access English
  • Published: 01 Sep 2013 Journal: Tribology in Industry, volume 35, issue 3, pages 167-176 (issn: 0354-8996, eissn: 2217-7965, Copyright policy)
  • Publisher: University of Kragujevac
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 inter...
free text keywords: Surface Roughness, CO2 Laser Cutting Nitrogen, Artificial Neural Networks, Simulated Annealing, Optimization, lcsh:Mechanical engineering and machinery, lcsh:TJ1-1570
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