Efficient runner networks for investment castings

Givler, Richard C.; Saylors, David B.

doi:10.1002/1097-0207(20000820)48:11<1601::aid-nme894>3.0.co;2-0

Cited by 2 publications

(1 citation statement)

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“…For shell molds made of silica with a zircon coat, data on relevant properties were given in Sabau and Viswanathan [6] and Pehlke and Jayarajan [14]. Previously, in most studies on numerical simulation of casting processes [1][2][3][4], a set of constant heat transfer coefficients are used to determine the heat flow from metal to mold. Whereas in actual situation, heat transfer coefficients (HTCs) change continuously during casting due to change in casting conditions (heating of air, mold, etc.)…”

Section: Introductionmentioning

confidence: 99%

Modeling and simulation of heat transfer phenomena during investment casting

Rafique

Iqbal

2009

International Journal of Heat and Mass Transfer

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a b s t r a c tDetermining the heat transfer phenomena during casting processes is an important parameter for measuring the overall performance of process. It gives information about the properties of the metal being casted and its possible behavior in the mold during casting process. Improper determination of heat transfer phenomena and use of improper molding materials and casting conditions leads to defects such as misruns, cold shuts, shrinkage, pin holes, air holes and porosity in final product. A mathematical model was developed using standard transport equations incorporating all heat transfer coefficients to calculate the time for solidification of metal in casting and computer simulation of the model was carried out in C++ to validate the model. The metal used was pure iron casted in investment molds of silica sand with zircon coating. It was shown that airflow near the mold surfaces was partially restricted due to geometry of the molds and arrangement of the pieces around a tree. So, the changes in heat transfer coefficient also contribute towards time of solidification. The time calculated was found to be in good agreement with experimental values.

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Section: Introductionmentioning

confidence: 99%