| Modeling of Mold Filling and Solidification in Lost Foam Casting |
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| 作者姓名： | FengjunLI HoufaSHEN BaichengLIU |
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| 作者单位： | DepartmentofMechanicalEngineering,TsinghuaUniversity,Beijing100084,China |
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| 基金项目： | 国家自然科学基金，the Significant Fundamental Research Development & Plan-ning of China |
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| 摘 要： | Based on the characteristics of the lost foam casting (LFC) and the artificial neural network technique, a mathematical model for the simulation of the melt-pattern interface movement during the mold filling of LFC has been proposed and experimentally verified. The simulation results are consistent with the experiments in both the shapes of melt front and filling sequences. According to the calculated interface locations, the fluid flow and the temperature distributions during the mold filling and solidification processes were calculated, and the shrinkage defect of a lost foam ductile iron casting was predicted by considering the mold wall movement in LFC. The simulation method was applied to optimize the casting design of lost foam ductile iron castings. It is shown that the model can be used for the defects prediction and for casting design optimization in the practical LFC production.
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| 关 键 词： | 数值模拟 人工神经网络 铸造工艺 建模 凝固 LFC 损失泡沫浇注 |
Modeling of Mold Filling and Solidification in Lost Foam Casting |
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| FengjunLI HoufaSHEN BaichengLIU.Modeling of Mold Filling and Solidification in Lost Foam Casting[J].Journal of Materials Science & Technology,2003,19(5):395-397. |
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| Authors: | Fengjun LI Houfa SHEN Baicheng LIU |
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| Affiliation: | Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China |
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| Abstract: | Based on the characteristics of the lost foam casting (LFC) and the artificial neural network technique, a mathematical model for the simulation of the melt-pattern interface movement during the mold filling of LFC has been proposed and experimentally verified. The simulation results are consistent with the experiments in both the shapes of melt front and filling sequences. According to the calculated interface locations, the fluid flow and the temperature distributions during the mold filling and solidification processes were calculated, and the shrinkage defect of a lost foam ductile iron casting was predicted by considering the mold wall movement in LFC. The simulation method was applied to optimize the casting design of lost foam ductile iron castings. It is shown that the model can be used for the defects prediction and for casting design optimization in the practical LFC production. |
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| Keywords: | Lost foam casting Numerical simulation Artificial neural network |
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