Parameter determination of double-ellipsoidal heat source model and its application in the multi-pass welding process

被引:57
作者
Fu, Guangming [1 ]
Gu, Jijun [2 ]
Lourenco, Marcelo Igor [1 ]
Duan, Menglan [2 ]
Estefen, Segen F. [1 ]
机构
[1] Univ Fed Rio de Janeiro, COPPE, Dept Ocean Engn, BR-21945 Rio De Janeiro, Brazil
[2] China Univ Petr, Offshore Oil Gas Res Ctr, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
heat source model; experimental calibration; temperature distribution; neural network; RESIDUAL-STRESSES; PLATE; PREDICTIONS; SIMULATION; FIELD; GAS;
D O I
10.1080/17445302.2014.937059
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The parameters of the heat source model have significant influence on the temperature field and sequentially affect the residual stress field. In this paper, a neural-network programme based on the Levenberg-Marquardt algorithm is developed to predict the parameters of Goldak's double-ellipsoidal heat source model. The analytical solution of the heat conduction equation based on the double-ellipsoidal heat source is obtained by integrating a series of instant point heat sources over the volume of the ellipsoidal heat source. The transient temperature distribution and the sizes of the molten pool are obtained under various welding processes by using the analytical method. Then, a neural-network programme is employed to train and predict the heat source parameters. These results of temperature and molten pool size obtained by the numerical simulation with the predicted heat source parameters are calibrated by the published experimental results. The numerical results show a good agreement with the experimental measurements. Finally, the developed Levenberg-Marquardt neural network is employed to predict the heat source parameters in the multi-pass welding process in the laboratory. By comparing the finite element (FE) numerical results with experimental results, the heat source parameters have been successfully identified in the multi-pass welding process.
引用
收藏
页码:204 / 217
页数:14
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