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Abstract:
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 defect of ductile 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.
Key words:
Lost foam casting Computer simulation Artificial neural network
CLC No: TG249.6 TG244.1
国家自然科学基金(59990470-3)和国家重点基础研究(G2000067208-3)资助项目.
Received 20030315, received in revised form 20031120
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