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Indexed by:期刊论文

Date of Publication:2018-09-01

Journal:CHINA FOUNDRY

Included Journals:SCIE

Volume:15

Issue:5

Page Number:327-332

ISSN No.:1672-6421

Key Words:magnesium alloy; multi-objective optimization; process parameters; shrinkage porosity; secondary dendritic arm spacing

Abstract:Multi-objective optimization has been increasingly applied in engineering where optimal decisions need to be made in the presence of trade-offs between two or more objectives. Minimizing the volume of shrinkage porosity, while reducing the secondary dendritic arm spacing of a wheel casting during low-pressure die casting (LPDC) process, was taken as an example of such problem. A commercial simulation software ProCAST (TM) was applied to simulate the filling and solidification processes. Additionally, a program for integrating the optimization algorithm with numerical simulation was developed based on SiPESC. By setting pouring temperature and filling pressure as design variables, shrinkage porosity and secondary dendritic arm spacing as objective variables, the multi-objective optimization of minimum volume of shrinkage porosity and secondary dendritic arm spacing was achieved. The optimal combination of AZ91D wheel casting was: pouring temperature 689 degrees C and filling pressure 6.5 kPa. The predicted values decreased from 4.1% to 2.1% for shrinkage porosity, and 88.5 mu m to 81.2 mu m for the secondary dendritic arm spacing. The optimal results proved the feasibility of the developed program in multi-objective optimization.