Modeling of shrinkage defects during solidification of long and short freezing materials
Introduction
Shrinkage related defects in shape casting are a major cause of casting rejections and rework in the casting industry. The most important defects that arise from shrinkage solidification are:
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External defects: pipe shrinkage and caved surfaces;
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Internal defects: macroporosity and microporosity.
Many attempts to model shrinkage related defects have been made. An extensive review on these models has been made by Lee et al. (2001) and later Stefanescu (2005). The initial effort of casting simulation was to develop codes that only analyze the solidification behavior by heat conduction models, solving the energy transport equations. For defects prediction they use a criteria function, empirical models for evaluation of shrinkage porosity defects, based on some relations of the local temperature gradient. The most well known is the Niyama Criterion (Niyama et al., 1982), based on finding the last region to solidify as most probable location for shrinkage defects. These and other functions have been summarized by Overfelt et al. (1997), Spittle et al. (1997) and later evaluated by Taylor and Berry (1998). Some models came up that were based on solving the heat transfer and mass conservation to predict the position of the free surface and macro-shrinkage cavity. Trovant and Argyropoulos (1996) proposed a model to account for shrinkage and consequently determine the shrinkage profile resulting from phase and density change. Beech et al. (1998) presented a method for macro-shrinkage cavity prediction based on a continuum heat transfer model which determines when an area will be completely cut off from sources of liquid metal (such as risers) where a void will form to account for volume deficit and its size is calculated through the mass conservation equation. Another approach, and more complex one, is the one, which tries to consider the feeding flow analysis. The first model that took into account feeding flow dates back to the early 1D analytic work of Piwonka and Flemings (1966). This early analytical work formed the basis of a later category of models based upon Darcy's law. Darcy's law relates the flow trough a porous media to the pressure drop across it. Kubo and Pehlke (1985) were the pioneers in presenting a 2D numerical model by coupling Darcy's law to the equations of continuity estimating the fluid flow. Later other 2D model was presented by Zhu and Ohnaka (1991) and Huang et al. (1998). In terms of 3D models, Bounds et al. (2000) presented a model that predicts macroporosity, misruns and pipe shrinkage in shaped castings. Later Sabau and Viswanathan (2002), Pequet et al. (2002) and Carlson et al. (2003) also presented 3D models that included the concept of pore nucleation and growth.
In the present model the volume deficit due to shrinkage can only be compensated by two phenomena: depression of the outside surface or by creating internal pores. The mechanism to create these defects is illustrated in Fig. 1. When the metal is still liquid after pouring the shrinkage of the material is fed from the top driven by gravity (a). At some instant a solid layer will grow inwards from the mould interface (b), enclosing a liquid region. To compensate the mass deficit within liquid region, a flow has to be generated through the solidifying layer. This flow through the emerging dendrites will observe an increasing friction, resulting in a pressure drop across the solidifying layer. When the pressure drops below a certain critical pressure a pore will open (c). After the pore has opened the pressure inside the pore is considered to be constant. So the model should allow for calculation of free surface flow through a porous medium, driven by mass continuity and gravity. This flow should be coupled to the pressure to check if it has dropped below the critical pressure.
Section snippets
Governing equations
The material deficit due to density increase, which is the case of most alloys, has to be compensated by metal flow. This is described by Eq. (1):where V is the velocity vector and ρ is the density.
The feeding velocities in the casting are determined from the momentum equation:where P is the pressure and ρg is the body force. It is assumed that when solidification starts the solid particles adhere and form a cohesive immobile network. Liquid flows through the
Numerical method
A finite volume method is used to discretize the governing equations. A 3D structured orthogonal mesh is employed to discretize the geometry A staggered grid serves to discretize the flow fluid equations. The code is developed by current author at SIRRIS Foundry Center.
First the temperature of a volume element and the change of solid fraction are calculated in an explicit way from Eqs. (5), (6), using velocities from the previous time step. After updating the density and the solid fraction, the
Results
To illustrate the features of the developed model, a simple geometry has been simulated. This geometry is a block (35 mm × 35 mm × 35 mm) surrounded with sand mould (15 mm), Fig. 3. Two alloys with a binary eutectic phase, a short freezing (small interval between Tl and Ts) and a long freezing alloy (large interval between Tl and Ts) were analyzed.
Table 1 shows the calculation parameters for the two alloys. The parameters, Table 1, are typical for AlSi alloys.
Discussion
In a short freezing material the outside layers quickly solidifies. Therefore, compensating the volume deficit of the shrinking material in side the casting is not possible by movement of the outside layers. The pressure will then quickly drop and the criterion to form a pore is met. However, in a long freezing material the outside layers will remain mushy and are able to compensate shrinkage by their movement significantly longer. These results in less shrinkage porosities formed in the inside
Conclusions
The presented numerical model describes depression of the surface during solidification, as well as the formation of shrinkage porosity. Qualitatively, the calculations resemble differences between short and long freezing alloys as found in actual castings.
Further investigation and developments will proceed, namely those related with characterization of model parameters, as well as additional validation, so that the prediction of shrinkage defects may have quantified its effects by using the
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