Differential Evolution algorithm applied to FSW model calibration

2nd International Conference on Mathematical Modeling in Physical Sciences 2013

物理学;数学

Idagawa, H.S.^1 ; Santos, T.F.A.^1,2,3 ; Ramirez, A.J.^1,2

Brazilian Nanotechnology Laboratory (LNNano), Campinas-SP, Brazil^1

School of Mechanical Engineering, University of Campinas (UNICAMP), Campinas-SP, Brazil^2

CPqD Foundation, Campinas-SP, Brazil^3

关键词: Adjustable parameters;    Computational costs;    Differential evolution algorithms;    Duplex stainless steel;    Evolution strategies;    Friction stir welding(FSW);    Solid-state welding process;    Trial-and-error approach;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/490/1/012215/pdf
DOI  :  10.1088/1742-6596/490/1/012215

来源: IOP

【 摘 要 】

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.