Simulation of the aluminum alloy A356 solidification cast in cylindrical permanent molds

Abstract

A mathematical model based on the control volume method with fixed mesh was selected in order to simulate the solidification of cylindrical castings poured in permanent steel mold. The latent heat was incorporated using the effective specific heat. The application of the model allowed us to obtain the solidification front and the temperature fields at any time from the pouring. The mold was made of the SAE 1010 steel. Two mold temperatures were evaluated: 25°C and 300°C. The mathematical model showed sensitivity to changes in mold temperatures. For the casting poured with an initial mold temperature of 300°C, the solidification time was greater than that of the casting poured in the mold at 25°C. When the perfect contact condition between the mold and the metal was considered, the theoretical solidification times were shorter than the experimental results. When the imperfect contact supposition was assumed, this resulted in longer times of solidification very close to the experimental data. A reasonable fitting was reached when the heat transfer coefficient between mold and casting surfaces in the range of 100 to 500 W/m 2 °K was used for the experiments with the mold at 25°C.

Evolution of Artificial Neural Network (ANN) model for predicting secondary dendrite arm spacing in aluminium alloy casting

“…The chill material considered for simulation is mild steel having density of 7.85 g/cm3, thermal conductivity of 45.06 w/m-k and specific heat of 460 J/kg-k. The boundary conditions considered between chill and mold as perfect contact (Virtual Casting, N.d.) (Bencomo et al, 2008). The simulations were conducted in 'VirtualCasting' for all twenty-seven combinations as per experimental layout and the SDAS values are presented in Table 3.…”

Mechanical and electrical properties of artificially aged aluminium alloy AA 2024

“…The effects of high current and high voltage on aluminium alloys used in the production of electrical equipment and high voltage power transmission lines have always been a subject of research. In addition to experimental studies, intelligent methods have been used in the estimation of conductivity [13][14][15].…”