Automatic Intelligent Casting Process Design Coupled Numerical Simulation with Artificial Intelligence
The goal of the research focuses on automatic intelligent casting process design technology. Namely, satisfied casting process scheme will be designed automatically without any manual acting completely. In this paper,a new framework is set up coupled numerical simulation(CAE) with artificial intelligence (Al) to realize the goal. In detAll, casting process is optimized by artificial intelligence and evaluated by numerical simulation respectively. Some key techniques are developed such as automatic simulation, quantitative casting defect prediction, artificial intelligent optimization, automatic 3D geometry modeling, data transfer between CAE and CAD and so on. Among them, quantitative casting defect prediction and artificial intelligent optimization are the footstones. Accurate quantitative casting defect prediction provides the precondition for the optimization, and reliable optimization ensures the performance of casting process design. Therefore, quantitative shrinkage defect is predicted based on dynamic feeding analysis technology, Alr entrapment and slag inclusion are forecasted quantitatively by multi - phase fluid field simulation technology. Finally,as a testing object, the riser system of a simple steel casting is designed by the technology automatically. The casting is poured and the result proves the new technology can be used to optimize the foundry process with high efficiency. It also shows the bright future of the new technology.
casting process design numerical simulation artificial Intelligence casting defect prediction, CAD/CAEIAl integration
Chen Liliang Zhou Jianxin Liao Dunming Hao Jing Shen Xu Wei Pengcheng
State Key Lab, of Materials Process and Die & Mould Technology,Huazhong University of Science and Technology,Wuhan 430074, China
国际会议
69th World Foundry Congress(第69届世界铸造会议 WFC 2010)
杭州
英文
498-502
2010-10-16（万方平台首次上网日期，不代表论文的发表时间）