The weldabiUty of some material is analyzed with simple calculating program in this paper, and weldability testing data are shared through database system. The welding procedures are designed with help of expert syste...The weldabiUty of some material is analyzed with simple calculating program in this paper, and weldability testing data are shared through database system. The welding procedures are designed with help of expert systems, and the knowledge is shared among welding engineers. Not only the preparing progress of the welding documents is completed with database systems but also the complex decision on the necessity of the qualification test according to the present procedure qualification records （PQRs） and manufacture codes is made. Moreover, the artificial neural network （ANN） technique is proven to be one of the effective ways to predict mechanical properties of welded joints when there are enough tested data to train the models. Finally, the achievements in modeling microstructure of welded joints are introduced, especially in solid transformation and grain growth in both heat-affected zone （HAZ） and welded molten pool.展开更多
In this paper,a multilevel domain decomposition approach based on multigrid methods for obtaining fast solutions for coupled engineering flow applications arising on complex domains is presented.The proposed technique...In this paper,a multilevel domain decomposition approach based on multigrid methods for obtaining fast solutions for coupled engineering flow applications arising on complex domains is presented.The proposed technique not only allows solutions to be computed efficiently at the element level but also helps us to achieve proper accuracy,load balancing and computational efficiency.Numerical results presented demonstrate the robustness of the proposed technique.展开更多
基金Acknowledgements Financial support by the National Natural Science Foundation of China under Grant No. 50775112 is gratefully acknowledged.
文摘The weldabiUty of some material is analyzed with simple calculating program in this paper, and weldability testing data are shared through database system. The welding procedures are designed with help of expert systems, and the knowledge is shared among welding engineers. Not only the preparing progress of the welding documents is completed with database systems but also the complex decision on the necessity of the qualification test according to the present procedure qualification records （PQRs） and manufacture codes is made. Moreover, the artificial neural network （ANN） technique is proven to be one of the effective ways to predict mechanical properties of welded joints when there are enough tested data to train the models. Finally, the achievements in modeling microstructure of welded joints are introduced, especially in solid transformation and grain growth in both heat-affected zone （HAZ） and welded molten pool.
基金This work is supported in part by the Computational Mathematics Program,National Science Foundation under Grant DMS 0813825the Advanced Research Program,Texas Higher Education Coordinating Board ARP 0212-44-C399.
文摘In this paper,a multilevel domain decomposition approach based on multigrid methods for obtaining fast solutions for coupled engineering flow applications arising on complex domains is presented.The proposed technique not only allows solutions to be computed efficiently at the element level but also helps us to achieve proper accuracy,load balancing and computational efficiency.Numerical results presented demonstrate the robustness of the proposed technique.
