Differential Evolution algorithm applied to FSW model calibration
ARTIGO
Inglês
Agradecimentos: The authors would like to thank Petrobras, FINEP, Aperam and CNPq for support this work
Friction Stir Welding (FSW) is a solid state welding process that can be modelled using a Computational Fluid Dynamics (CFD) approach. These models use adjustable parameters to control the heat transfer and the heat input to the weld. These parameters are used to calibrate the model and they are...
Friction Stir Welding (FSW) is a solid state welding process that can be modelled using a Computational Fluid Dynamics (CFD) approach. These models use adjustable parameters to control the heat transfer and the heat input to the weld. These parameters are used to calibrate the model and they are generally determined using the conventional trial and error approach. Since this method is not very efficient, we used the Differential Evolution (DE) algorithm to successfully determine these parameters. In order to improve the success rate and to reduce the computational cost of the method, this work studied different characteristics of the DE algorithm, such as the evolution strategy, the objective function, the mutation scaling factor and the crossover rate. The DE algorithm was tested using a friction stir weld performed on a UNS S32205 Duplex Stainless Steel
FINANCIADORA DE ESTUDOS E PROJETOS - FINEP
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
Aberto
Differential Evolution algorithm applied to FSW model calibration
Differential Evolution algorithm applied to FSW model calibration
Fontes
Journal of physics: conference series Vol. 490, no. 1 (2014), n. art. 012215 |