Inverse Heat Conduction Analysis of Quenching Process Based on Finite Element Method and Genetic Algorithm
A genetic algorithm optimization model for estimating the histories of surface heat transfer coefficient during quenching process is developed. First we build the general finite element (FE) form of the transient heat conduction problem by galerkin method. Two points cycle formula is applied to solve the FE equation. Meanwhile, the stability of solution is discussed and time-step is also controlled. The objective function of the optimization model is constructed with the norm of temperature residual between experimental temperature and calculated temperature. Then, the improved genetic algorithm is adopted to solve the nolinear optimization problem. Numerical results are presented and prove that the algorithm is feasible and effective. Aiming at the small perturbation of optimal variable, sensitivity of the algorithm is analyzed.
quenching inverse heat conduction finite element method (FEM) genetic algorithm
Hongxiu YANG Wenjie ZUO Man DU Luquan REN
Key Laboratory for Terrain-Machine Bionics of Engineering, Ministry of Education, Jilin University, College of Mechanical Science & Engineering, Jilin University, Changchun 130022, PR China
国际会议
郑州
英文
2007-10-23（万方平台首次上网日期，不代表论文的发表时间）