Study of the filling mechanism and parameter optimization method for vacuum casting

作     者：Zhang, H. G. Hu, Q. X. 

作者机构：Shanghai Univ Sch Mechatron Engn & Automat Rapid Mfg Engn Ctr 99 Shangda Rd Shanghai 200444 Peoples R China Shanghai Univ Shanghai Key Lab Intelligent Mfg & Robot 99 Shangda Rd Shanghai 200444 Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY》 (国际先进制造技术杂志)

年 卷 期：2016年第83卷第5-8期

页      面：711-720页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0802[工学-机械工程] 0811[工学-控制科学与工程] 

基　　金：fund of the National Natural Science Foundation Shanghai Key Laboratory of Intelligent Manufacturing and Robotics [ZK1304] 

主　　题：Vacuum casting Filling mechanism Numerical simulation Parameter optimization Response surface methodology Artificial fish-swarm algorithm 

摘      要：Warpage is the most common quality defect in parts produced by vacuum casting (VC). In this paper, the VC process and mold filling mechanism are analyzed, and a mathematical model of the filling process is constructed, incorporating fluid dynamical relationships. The filling process is simulated using a numerical simulation algorithm. A warpage optimization strategy combining response surface methodology (RSM) with the artificial fish-swarm algorithm (AFSA) is then proposed, in which the main function of the RSM is to fit the relationship between process parameters and warpage, while that of the ASFA is to obtain the optimized process parameters. Finally, the implementation of the optimization strategy is presented in detail, together with a specific example, and simulations and a real experiment are carried out. The experimental results verify the accuracy of the model and the reliability of the algorithm. In conclusion, the optimization method can reduce the warpage of VC parts and improve product quality, providing a reliable new low-cost method for optimizing the process parameters in VC technology.