摘要
根据消失模铸造液态金属充型及液态金属—模样界面的推进机制,提出了充型过程界面推移位置的人工神经网络算法。根据计算得出的界面位置,用SOLA算法计算了充型过程中液态金属的流场,并耦合计算了充型过程中的温度场。根据计算得到的充型结束时铸件及铸型温度场,求解三维导热微分方程,计算了铸件凝固过程的温度场。结合消失模铸造型壁移动的规律,预测了球墨铸铁件消失模铸造的收缩缺陷。计算模拟结果与充型过程实际测试结果及铸件解剖结果一致。
The artificial neural network technique is introduced
to calculate the locations of metal-pattern interface according to
the mechanism of the molten metal filling and metal front
moving during the filling process of lost foam casting (LFC).
Based on the calculated interface location,the fluid flow of the
molten metal during mold filling process is calculated by use of
SOLA method and the temperature distribution is coupled with.
The temperature distribution during the solidification process is
calculated by the numerical solution of the three-dimensional
heat conduction partial differential equation according to the
casting and mold temperature distribution at the moment of
filling process ending.The shrinkage derect of duchtile iron lost
foam casting is predicted according to the characteristics of
mold wall movement in LFC. The results of simulation are
consistent both with the results of mold filling test and with the
results of casting intersecting.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2004年第6期81-84,共4页
Journal of Mechanical Engineering
基金
国家自然科学基金(59990470-3)
国家重点基础研究(G2000067208-3)
关键词
消失模铸造
模拟仿真
人工神经网络
Lost foam casting
Computer simulation
Artificial neural network
