![International Journal of Advance Engineering and Research Development (IJAERD)
Volume 2,Issue 9, September -2015, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406
@IJAERD-2015, All rights Reserved 30
Fig. 5 (a) Convergence plot (b) Temperature at different points in the casting part
V. CONCLUSION
1. In the present work it has been shown that FEA software like ANSYS may play an important role in this regard
2. In this paper, casting simulation using ANSYS has been carried out to obtain the isotherms at various times.
3. These temperature variations are an important factor in improving the casting quality, reduced cost of
development and speeding up the improvement of the product.
REFERENCES
[1]. Choudhary C. M., Narkhede B. E., Mahajan S.K., Modelling and Simulation with Experimental Validation of
Temperature Distribution during Solidification Process in Sand Casting. International Journal of Computer
Applications. 2013, 78, p.23-29.
[2]. C .M. Choudhari, K. J. Padalkar, K. K. Dhumal, B. E. Narkhede, S. K. Mahajan, Defect free casting by using
simulation software, Applied Mechanics and Materials, 2013, 313-314, 1130-1134.
[3]. Das S &Himte R.L., Design and Analysis of pure iron casting with different moulds, International Journal of Modern
Engineering Research. 2013, 3(5), p.2875-2877.
[4]. Shaha S.K., Haque M.M., Simulation of Heat Flow in Computational Method and Its
[5]. Verification on the Structure and Property of Gray Cast Iron, American Journal of
[6]. Applied Sciences, 7(6), 2010, p.795-799.
[7]. Masoumi A., Effect of Gating Design on Mould Filling, American Foundry Society, USA, 2007.
[8]. Campbell J, Casting, Butterworth-Heinemann, Oxford, 1991.
[9]. Flemings M.C., Solidification processing, McGraw-Hill, New York, 1974.](https://image.slidesharecdn.com/ansyssimulationoftemperaturedistributioninplatecasting-29983-151013042251-lva1-app6892/85/Ansys-simulation-of-temperature-distribution-in-plate-casting-29983-5-320.jpg)
Ansys simulation of temperature distribution in plate casting 29983
- 1. International Journal of Advance Engineering and Research Development Volume 2,Issue 9, September -2015 @IJAERD-2015, All rights Reserved 26 Scientific Journal of Impact Factor(SJIF): 3.134 e-ISSN(O): 2348-4470 p-ISSN(P): 2348-6406 ANSYS SIMULATION OF TEMPERATURE DISTRIBUTION IN PLATE CASTING Vikram Pratap Singh Tomar1 , Dushyant Dwivedi2 1,2 Vikrant Institute of Technology & Management Gwalior Abstract: Molten metal solidification is a complex phenomenon. During casting process many processes occur, flow of molten metal, heat transfer casting part to mould cavity then mould cavity to atmosphere. Heat transfer between the casting part, mould cavity and atmosphere plays vital role in the quality of final casting part. Thermophysical properties of the molten metal and mould cavity affect the casting part quality, in the present study molten metal (Aluminium) thermophysical properties (thermal conductivity, enthalpy) has been considered to be temperature dependent while mould cavity material properties are constant.In the present study two-dimensional numerical simulation will be carried out utilizing ANSYS software of Aluminium casting in green sand mould.Convective boundary conditions have been considered at the mould cavity walls which represent the actual physical scenario of the casting process. I. INTRODUCTION Metal casting is of theearliest and versatile manufacturing process known to human being in which molten metal is poured into mould cavity and allowed to solidify. After solidification of molten metal the product is taken out from the mould cavity. Using casting process one can create products from few grams size to several hundred tons. Many complex shapes can be produced by casting like engine blocks while it can also be used to produce simple shapes like watch cases. Casting has been widely utilized in manufacturing due to many applications and advantages. Tools required for casting moulds are very simple and cheap and any intricate shape, either external or internal can be casted that would be otherwise challenging or uneconomical to make by other methods. Almost any metal or alloy which can be easily melted is castable. II. NUMERICAL SIMULATION Solidification procedure includes phase, for this situation, the enthalpy is the right parameter to portray this process, in light of the fact that, enthalpy included latent heat that speaks to the phase change. Heat conduction partial differential equation for the transient nonlinear state that portrays this process can be represented as 𝑘 𝜕2 𝑇 𝜕 𝑥2 + 𝜕2 𝑇 𝜕 𝑦2 + 𝜕2 𝑇 𝜕 𝑧2 = 𝜕ℎ 𝜕𝑡 (1) At the interface where molten metal will the mould cavity wall heat transfer by convection has been considered. Boundary conditions At x = 0 𝑞 = 𝑘 𝜕𝑇 𝜕𝑥 = ℎ𝑓 (𝑇 − 𝑇∞ )At x = L 𝑞 = 𝑘 𝜕𝑇 𝜕𝑥 = −ℎ𝑓 (𝑇 − 𝑇∞ ) At y = 0 𝑞 = 𝑘 𝜕𝑇 𝜕𝑦 = ℎ𝑓 (𝑇 − 𝑇∞ ) At y = H 𝑞 = 𝑘 𝜕𝑇 𝜕𝑦 = −ℎ𝑓 (𝑇 − 𝑇∞ ) Where q = quantity of heat transfer, k= Thermal conductivity of material These properties may betemperature-dependent then eq.1 is transformed into anonlinear transient equation. hf is the coefficient of convective heattransfer on the mould’s external surface, T is the temperature, and T∞is the temperature of the environment. Geometric model Figure 1 represents the geometry of the model in which the casting will be done. Temperature distribution will be studied of the aluminium with temperature dependent thermal properties. While green sand which has been considered for the mould cavity material is constant. A rectangular part of same length and height has been considered. The model will be divided into different number of parts which will help in finding the temperature distribution accurately.
- 2. International Journal of Advance Engineering and Research Development (IJAERD) Volume 2,Issue 9, September -2015, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406 @IJAERD-2015, All rights Reserved 27 Fig. 1 Model of the casting part and mould cavity Objective: Objective of the present work will be to study the transient thermal analysis to obtain the temperature distribution during casting processutilizing ANSYS software. Solidification of pure Al with temperature dependent thermal properties thermal conductivity and enthalpy will be studied in the present work. Green industrial sand thermo-physical properties are constant, and convection phenomenon will be considered on the boundaries. III. MODELLING AND SIMULATION Figure 2 represents that the model has been divided into different number of parts to study the solidification process inside the mould cavity and casting part. Fig. 2 Meshed and different areas of model IV. RESULTS AND DISCUSSION As molten material thermophysical properties are temperature dependent. Enthalpy variations with temperature represents the right physical scenario of casting process, if one want to see the effect of temperature dependent thermal properties on the casting process. Figure 3 represents the enthalpy and thermal conductivity variation with temperature respectively.
- 3. International Journal of Advance Engineering and Research Development (IJAERD) Volume 2,Issue 9, September -2015, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406 @IJAERD-2015, All rights Reserved 28 Fig. 3 Variation of enthalpy and thermal conductivity with temperature Table 1 Thermophysical Properties of sand: Properties Green sand Specific heat (KJ/Kg.K) 1172.3 Density (Kg/m3 ) 1494.71 Thermal conductivity (W/m.K) 0.52 Table 2 Thermophysical Properties of molten metal: Conductivity (k) for Aluminium (W/m-K) At 293 K 240 At 523 K 230 At 831 K 210 At 973 K 100 Enthalpy (h) for Aluminium (J/m3 ) At 293 K 7.8886e-031 At 523 K 6.2967e+008 At 831 K 1.7961e+009 At 973 K 2.1527e+009 For transient thermal simulation initial temperature has been set as 973K because liquid aluminium has been poured at 973K temperature. After setting the temperature boundary conditions transient simulation parameter has been set as follows , Table 3 Transient simulation setup Total time of simulation Time step Maximum time step size Minimum time step size 1 hour or 3600 seconds 36 seconds 900 seconds 3.6 seconds
- 4. International Journal of Advance Engineering and Research Development (IJAERD) Volume 2,Issue 9, September -2015, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406 @IJAERD-2015, All rights Reserved 29 Fig. 4 Temperature distribution in the mould cavity and casting part Figure 4 represents the contour plotting of temperature distribution in the whole casting assembly during process. One can easily notice that the temperature is highest in the casting part around 973K melting point temperature of the aluminium, while lowest temperature near the walls of the mould cavity around 303K The HEATCRIT curve refers to the convergence criteria heat value. The graph of Absolute Convergence Norm v/s Cumulative Iteration Number for the simulation under consideration is shown in Fig. 5 (a). While Fig. 5 (b) represents the temperature at four different nodes in the casting part.
- 5. International Journal of Advance Engineering and Research Development (IJAERD) Volume 2,Issue 9, September -2015, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406 @IJAERD-2015, All rights Reserved 30 Fig. 5 (a) Convergence plot (b) Temperature at different points in the casting part V. CONCLUSION 1. In the present work it has been shown that FEA software like ANSYS may play an important role in this regard 2. In this paper, casting simulation using ANSYS has been carried out to obtain the isotherms at various times. 3. These temperature variations are an important factor in improving the casting quality, reduced cost of development and speeding up the improvement of the product. REFERENCES [1]. Choudhary C. M., Narkhede B. E., Mahajan S.K., Modelling and Simulation with Experimental Validation of Temperature Distribution during Solidification Process in Sand Casting. International Journal of Computer Applications. 2013, 78, p.23-29. [2]. C .M. Choudhari, K. J. Padalkar, K. K. Dhumal, B. E. Narkhede, S. K. Mahajan, Defect free casting by using simulation software, Applied Mechanics and Materials, 2013, 313-314, 1130-1134. [3]. Das S &Himte R.L., Design and Analysis of pure iron casting with different moulds, International Journal of Modern Engineering Research. 2013, 3(5), p.2875-2877. [4]. Shaha S.K., Haque M.M., Simulation of Heat Flow in Computational Method and Its [5]. Verification on the Structure and Property of Gray Cast Iron, American Journal of [6]. Applied Sciences, 7(6), 2010, p.795-799. [7]. Masoumi A., Effect of Gating Design on Mould Filling, American Foundry Society, USA, 2007. [8]. Campbell J, Casting, Butterworth-Heinemann, Oxford, 1991. [9]. Flemings M.C., Solidification processing, McGraw-Hill, New York, 1974.