Notice of Retraction: Numerical simulation of mould filling process in lost foam casting of engine cover

2010 ◽  
Author(s):  
Chen Zhilan ◽  
Yang Renwei
Keyword(s):  
Numerical Simulation ◽  
Lost Foam Casting ◽  
Filling Process ◽  
Mould Filling ◽  
Lost Foam

Numerical Simulation of Lost Foam Casting in Special-Shaped Stainless Steel Stirrer

2011 ◽  
Vol 101-102 ◽  
pp. 479-483
Author(s):  
Zhi Lan Chen ◽  
Ren Wei Yang
Keyword(s):  
Numerical Simulation ◽  
Stainless Steel ◽  
Temperature Change ◽  
Solidification Process ◽  
Lost Foam Casting ◽  
Filling Process ◽  
Gasification Process ◽  
Simulation Techniques ◽  
Foam Pattern ◽  
Lost Foam

The filling process, solidification process, gasification process and node temperature change of special-shaped stainless steel stirrer via lost foam casting was simulated and analyzed by using ProCAST numerical simulation techniques. The results show that the filling and foam gasification process of stainless steel stirrer casting is a top-down, from the middle layers of outward promotion process. In the filling process, foam pattern gasification and decomposition appeared to be exacerbated by heat transfer in the whole casting. Through the node temperature change over time, it can be conformed to the principles of the order of solidification in the entire stirrer casting solidification process.

Numerical simulation of heat transfer and fluid flow of molten metal in MMA–St copolymer lost foam casting process

2010 ◽  
Vol 210 (14) ◽  
pp. 2071-2080 ◽  
Author(s):  
Ali Charchi ◽  
Mostafa Rezaei ◽  
Siyamak Hossainpour ◽  
Jamal Shayegh ◽  
Sohrab Falak
Keyword(s):  
Heat Transfer ◽  
Numerical Simulation ◽  
Fluid Flow ◽  
Molten Metal ◽  
Casting Process ◽  
Lost Foam Casting ◽  
Lost Foam

Simulations and experiments of mould filling in lost foam casting

2020 ◽  
Vol 33 (4-5) ◽  
pp. 194-200
Author(s):  
Fengjun Li ◽  
Hua Zhao ◽  
Fengzhang Ren ◽  
Shaobiao Song ◽  
Xinghai Shao ◽  
...  
Keyword(s):  
Lost Foam Casting ◽  
Mould Filling ◽  
Lost Foam

Experimental study on the filling process of the lost foam casting process of a cast iron plate

2013 ◽  
Vol 47 (1/2/3/4) ◽  
pp. 188 ◽  
Author(s):  
Jinwu Kang ◽  
Xiaokun Hao ◽  
Gang Nie ◽  
Haimin Long ◽  
Tianjiao Wang ◽  
...  
Keyword(s):  
Experimental Study ◽  
Cast Iron ◽  
Casting Process ◽  
Lost Foam Casting ◽  
Filling Process ◽  
Iron Plate ◽  
Lost Foam

Numerical Modeling of EPS Foam Decomposition in the Lost Foam Casting Process

2005 ◽  
Author(s):  
X. J. Liu ◽  
S. H. Bhavnani ◽  
R. A. Overfelt
Keyword(s):  
Heat Transfer ◽  
Process Parameters ◽  
Experimental Studies ◽  
Casting Process ◽  
Mold Filling ◽  
Lost Foam Casting ◽  
Interfacial Heat Transfer Coefficient ◽  
Filling Process ◽  
Foam Pattern ◽  
Lost Foam

The importance of smooth mold filling in the lost foam casting process has been recognized for a long time. The more uniform the filling process, the better the quality of the casting products that are produced. Successful computer simulations can help reduce the number of trials and cut down the lead time in the design of new casting products by better understanding the complex mechanisms and interplay of different process parameters in the mold filling process. In this study, a computational fluid dynamics (CFD) model has been developed to simulate the fluid flow of molten aluminum and the heat transfer involved at the interfacial gap between the metal and the expanded polystyrene (EPS) foam pattern. The commercial code FLOW-3D was used because it can track the front of the molten metal by a Volume of Fluid (VOF) method and allow complicated parts to be modeled by the Fractional Area/Volume Ratios (FAVOR) method. The code was modified to include the effects of varying interfacial heat transfer coefficient based on gaseous gap pressure which is related to foam degradation and coating permeability. The modification was validated against experimental studies and the comparison showed better agreement than the basic model. Process parameters such as initial metal temperature, foam pattern property, and gating system were investigated. The defect prediction model was also used to study the dependence of defect formation on the process variables.

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