scholarly journals Dynamic simulation of fiber orientation in mold filling process in a complex cavity

2012 ◽  
Vol 61 (4) ◽  
pp. 044701
Author(s):  
Yang Bin-Xin ◽  
Ouyang Jie ◽  
Li Xue-Juan
Keyword(s):  
Dynamic Simulation ◽  
Fiber Orientation ◽  
Mold Filling ◽  
Filling Process ◽  
Complex Cavity

Element modeling of FEM on the pressure field in the powder injection mold filling process

2003 ◽  
Vol 137 (1-3) ◽  
pp. 74-77 ◽  
Author(s):  
Bing-yan Jiang ◽  
Jue Zhong ◽  
Bai-yun Huang ◽  
Xuan-hui Qu ◽  
Yi-min Li
Keyword(s):  
Pressure Field ◽  
Mold Filling ◽  
Powder Injection ◽  
Injection Mold ◽  
Filling Process ◽  
Element Modeling

Numerical Simulation of Dynamic Process under Low Pressure Casting Based on Two Phase Flow

2015 ◽  
Vol 727-728 ◽  
pp. 358-361
Author(s):  
Shan Guang Liu ◽  
Fu Yang Cao ◽  
Xin Yi Zhao ◽  
Yan Dong Jia ◽  
Zhi Liang Ning ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Particle Image Velocimetry ◽  
Particle Image ◽  
Mold Filling ◽  
Phase Flow ◽  
Pressure Casting ◽  
Filling Process ◽  
Two Phase ◽  
Image Velocimetry ◽  
Low Pressure Casting

It has been proved that the mold filling under low pressure casting can be described by the second order nonlinear differential equations characterized by damping oscillations. To obtain higher accuracy of the velocity field, the mold filling process with damping oscillations should be considered. A computational model taking the liquid level droping in the crucible into account based on two phase flow for filling process of damping oscillations is presented in this paper. Hydraulic simulation with the particle image velocimetry was adopted to verify the numerical simulation result. It is proved that the nemuerical simulation results used the presented model perfecly match with the particle image velocimetry results. Liquid level droping in crucible is the main reason for damping oscillations in mold filling. Velocity oscilations can be eliminated when the melt flow across a sudden expansion section. The detailed flow field based on the presented model can provide guidance to optimize the process parameters.

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