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消失模铸造充型过程的人工神经网络算法 被引量:3

Modeling of Mold Filling in Lost Foam Casting Based on Artificial Neural Network Method
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摘要 用人工神经网络算法计算了消失模铸造充型过程中不同时刻液态金属-模样界面的位置。通过实验对该算法进行了验证,模拟计算结果与实际测试结果无论在充型形态还是充型时间上都符合得较好。根据得出的界面位置及边界条件,通过求解N-S方程和能量方程计算了消失模铸造充型过程的流场及温度场。讨论了该计算模型在消失模铸造过程模拟仿真中的应用。 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.
出处 《稀有金属材料与工程》 SCIE EI CAS CSCD 北大核心 2003年第4期268-271,共4页 Rare Metal Materials and Engineering
基金 国家自然科学基金重大项目(59990470-3) 国家重点基础研究规划项目(G2000067208-3)
关键词 消失模铸造 充型过程 人工神经网络 数值模拟 lost foam casting mold filling artificial neural network numerical simulation
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