Modeling of mold filling in lost foam casting based on artificial neural network method

被引：0

作者：

Li, FJ ^{[1
]}

Liu, BC

Shen, HF

Yu, JL

机构：

[1] Tsing Hua Univ, Dept Mech Engn, Beijing 100084, Peoples R China

[2] Luoyang Inst Technol, Luoyang 471004, Peoples R China

来源：

RARE METAL MATERIALS AND ENGINEERING | 2003年 / 32卷 / 04期

关键词：

lost foam casting; mold filling; artificial neural network; numerical simulation;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Artificial neural network technique was applied to calculate the locations of the metal front. at time intervals in the lost foam casting (LFC). Experiments have been conducted to validate the model. The results of simulation and experiments are consistent, both in filling pattern and sequence. The fluid flow and. the temperature distribution during the mold filling process of LFC were calculated through the numerical solution of the N-S and energy equations based on the calculated surface positions and boundary conditions. The application of the model on the computer simulation of LFC was discussed.

引用

页码：268 / 271

页数：4