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Journal of Materials Processing Technology 178 (2006) 29–33 Numerical simulation of casting solidification in permanent metallic molds T.R. Vijayaram, S. Sulaiman, A.M.S. Hamouda ∗, M.H.M. Ahmad Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, UPM 43400 Serdang, Selangor Darul Ehsan, Poskod 43400, Malaysia Received 26 May 2005; accepted 26 September 2005 Abstract Casting solidification is actually the transformation of liquid phase to solid phase with the liberation of latent heat of fusion. During this metallurgical process, it induces casting defects like shrinkage, porosity and hot tears. To eradicate and eliminate these problems, accurate casting design and proper design of gating system is necessary. This can be predicted and designed by means of computer simulation of casting solidification. This review paper discusses about the simulation process of casting solidification with the aid of an example, which will help the foundry engineers and industrial metallurgists to optimize the design parameters, better understand the temperature history of the solidifying casting and hence to identify the hot spot region with the aid of obtained time-temperature contours. These results will be used to get defect free as cast products on implementing the above findings attained from the simulation process. In this paper, the importance of heat transfer in the simulation process is presented. This paper reviews the details of computer simulation of solidification of castings in metallurgical engineering foundries. Since, computers became widely available in industry, researchers have been working on the development of programs to simulate the solidification of castings. © 2005 Elsevier B.V. All rights reserved. Keywords: Casting solidification; Computer simulation software; Hot tears; Hot spots; Solid–liquid interface 1. Introduction Metallurgical phase transformation plays a vital role in the solidification of castings [1]. Computer simulation of casting solidification of metals and alloys is a complex phenomenon [2,3]. The assumptions and constraints used for simulation are considered as a vital one [8,23]. In the casting process, the metal–mold interface will have an air gap which affects the dis- sipation of heat flow from the casting to the mold [7,8]. But the application of pressure during the solidification process reduces the air gap and forms a tight contact between the casting and the mold [4,5]. This condition releases the heat at a faster rate and produces fine grain structured castings [9]. To identify the con- ditions and optimum values, simulation of solidification process is done by running indigenously developed computer software for the casting process selected for investigation [6,11]. The program output provides the details on time-temperature profile ∗ Corresponding author. Tel.: +60 3 89466330; fax: +60 3 86567122. E-mail address: hamouda@eng.upm.edu.my (A.M.S. Hamouda). and heat transfer coefficient values which plays a key role in the effective design of castings [10,11]. 2. Aim of computer modeling of solidification of castings: Many computer simulation programs now exist, but some require computers of a power not generally available to practical foundry men, while others take an unacceptably long time to obtain meaningful results. The aim of computer modeling is to [56]: • Predict the pattern of solidification, indicating where shrink- age cavities and associated defects may arise. • Simulate solidification with the casting in various positions, so that the optimum position may be selected. • Calculate the volumes and weights of all the different mate- rials in the solid model. • Provide a choice of quality levels, allowing, for example, the highlighting or ignoring of micro-porosity. 0924-0136/$ – see front matter © 2005 Elsevier B.V. All rights reserved. doi:10.1016/j.jmatprotec.2005.09.025 mailto:hamouda@eng.upm.edu.my dx.doi.org/10.1016/j.jmatprotec.2005.09.025 https://www.researchgate.net/publication/243403058_The_Physics_Of_Liquid_Metals?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== https://www.researchgate.net/publication/241281190_Materials_Science_and_Technology?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== https://www.researchgate.net/publication/225249320_Mathematical_modeling_of_porosity_formation_in_solidification?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== https://www.researchgate.net/publication/285166715_Fundamentals_of_Solidification?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== https://www.researchgate.net/publication/250154928_Coarsening_in_Solidification_Processing?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== 30 T.R. Vijayaram et al. / Journal of Materials Processing Technology 178 (2006) 29–33 • Perform over a range of metals, including steel, white iron, grey iron and ductile iron and non-ferrous metals. 3. Literature review From the existing and recent literature citations it is found that the currently available casting solidification simulation soft- ware’s have not taken all constraints and conditions required for the realistic simulation process [12–14]. This matters more and influences critically on the output results [31]. Normally simu- lation is done for simple shape castings particularly cylindrical and of slab type [15,55]. Very limited complicated shape cast- ings of real engineering components have taken for this research work and yet not applied all constraints and complete boundary conditions [16,17]. According to the literature reviewed, it is clear that the casting solidification simulation is done only to metals and alloys [18–20]. Little work has been done so far on the simulation of metal matrix composites due to the complex- ity involved in it [21,22]. The movement and the velocity of the solidification front are determined by considering the assumed boundary conditions and constraints [23,24]. 4. Significance of casting solidification simulation of metals, alloys and composite materials Solidification of castings varies for different materials. Pure metal and eutectic alloys solidifies at constant temperature. But alloys of binary and ternary type solidify over a range of tempera- ture. The result of the simulation process helps to design the cast- ings effectively by identifying the defect locations from the geo- metrical features of the components [3]. In the case of particulate composite materials, it is used to determine the particle distribu- tion uniformity during the solidification of composites [25–28]. The solidification front velocity decides the particle pushing and engulfment in the composite casting solidifying process [29,30]. By simulation, the time versus temperature helps to visualize the temperature contours and distribution inside the solidifying composites [31–33]. So, the effect of the particle hindrance by the solid–liquid interface can be thoroughly studied. The distur- bance of the interface by the paniculate decides its distribution inside the composite casting [34,35]. Similarly, for the optimum processing of fiber-reinforced composites by squeeze casting, the infiltration of the liquid alloy into the fiber is simulated to get the details of the infiltration level and the characteristics of viscosity, surface tension and wett-ability of the alloy with the fiber [36]. By generating practical conditions in the software, one can predict the optimum values likesqueeze pressure, die temperature, molten metal or alloy pouring temperature and per- form preheating temperature [37–40]. This helps us to identify whether complete infiltration has taken place or not during solid- ification process. 5. Steps involved in the development of casting solidification simulation software • Problem identification. • Shape and size of the cast component. • Identifying the type of metal casting process. • Selecting the type of mesh element. • Identifying the type of mold and cast material. • Direction of heat flow. • Applying the boundary conditions and constraints. • Identifying the physical, chemical and mechanical properties of the mold and cast material. • Discretizing the selected casting into smaller nodal elements. • Applying pre processor. • Writing the heat transfer equations. • Developing the stiffness matrices. • Writing the codings by selecting a suitable higher-level pro- gramming language. • Run the program. • Getting the output results. • Applying post processor to refine and for better results. 6. Available numerical techniques for casting solidification simulation process • Finite difference method (FDM) • Finite element method (FEM) • Boundary element method (BEM) Finite difference method is the oldest numerical mathemat- ical technique used to generate the solidification simulation by discretizing the casting and mold arrangement into smaller equal elements [41–43]. For an element, the small linear distance in the X-direction is taken as ‘Delta X’ and the vertical distance in the Y-direction is taken as ‘Delta Y’ The air gap resistance is considered here and one of the above mentioned numerical methods is applied to get the solution [22,44,45]. Besides, it is a common procedure to write the basic heat transfer equa- tions for the nodal elements based on the mode of conduction, convection and radiation [46]. By using finite element method different types of mesh elements are generated by discretization and hence stiffness matrices are developed to predict the velocity of the moving solid–liquid interface, time-temperature distribu- tion and particle distribution in the case of composites casting solidification processing [47,48]. Recently, boundary element method is adopted to get accurate result outputs and this is con- sidered as an advanced technique by engineering scientists and technologists [49,50]. 7. List of assumptions and constraints to be considered in casting solidification simulation software package development • Latent heat of fusion. • Unidirectional heat flow. • Thermal resistance–air gap consideration. • Assuming the absence of crests and troughs in the metal–mold interface. • Isotropic conditions. • Uniformity of properties in all directions consideration. • Square element consideration in mesh generation. • Location of nodes at the centre of the element. https://www.researchgate.net/publication/250675976_Modeling_of_feeding_behavior_of_solidifying_Al7Si03Mg_alloy_plate_casting?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== https://www.researchgate.net/publication/226287992_Finite_element_of_solidification_problems?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== 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T.R. Vijayaram et al. / Journal of Materials Processing Technology 178 (2006) 29–33 31 • Pressurization rate, molten metal temperature and squeeze pressure consideration in the case of squeeze casting process. 8. Procedure for applying solidification simulation program The procedure for carrying out a casting solidification simu- lation program analysis is listed below [56]: • Using the casting drawing, determine model scale and ele- ment size. • Make the solid model of the casting. • Make the solid model of the proposed production method (feeders, chills, insulators etc.). Use the program’s own feeder-size calculator of required. • Carry out thermal analysis to establish the order of solidifica- tion. • Carry out solidification simulation to a set quality standard, for the selected alloy incorporating shrinkage percentage, in gate effects etc. this results in the model being changed to the predicted final shape (internal and external) of the cast- ing showing size, shape and location of shrinkage cavities in castings and feeders. • Examine the predicted shrinkage (the equivalent of NDT) by viewing and plotting of 3D ‘X-rays’ and sections of the model in 2D slices or 3D sections and relating predicted defects to solidification contours and required quality standards. • If the predicted defects do not meet the required quality stan- dard, develop an improved production method and repeat the procedures. These trial-and-error sampling procedures can be carried out very rapidly, allowing the operator to indulge in any number of “what–if experiments”. Basically, casting solidification simulation software program performs firstly, the solid modeling, consecutively, the thermal analysis and solifdifation simulation. During the simulation pro- cess, the effect of varying molding position, ingate position, mold materials, chills, insulating and exothermic materials can be modelled, allowing the optimum method of making the cast- ing to be predicted [56]. 9. Experimental method and description for generating time-temperature data A model of squeeze casting process is analyzed for generat- ing time-temperature data during the solidification process. In squeeze casting process, the pressure is applied until the casting gets solidified completely in the mold [51–53]. So, air gap is seen only when the pressure is absence and it is not observed when the pressure is applied [54,55]. The main components of the experimental set-up for generating time-temperature data are listed below. • Data acquisition system (DAS). • ADU Converter. • Amplifier. • Solidification simulation software. • Metallic mold. • Thermocouple leads. • A suitable induction melting furnace to melt the metal or alloy ingot. • A suitable computer system with sufficient memory capacity. • A graphic plotter. The real experimental procedure of the solidification simula- tion system is explained in a simplified manner with the aid of an example. The selected metallic mold with the casting cavity is placed on the floor and sufficient number of hole provisions are made on it to insert the thermocouple lead wires on the selected locations of the inside casting surface and at the interior loca- tions apart by opted distances. The extended thermocouple wires from the mold are connected to the input terminals of the data acquisition system and the corresponding output leads are linked to an amplifier to amplify the signals [45,46]. A suitable material is melted temperature. The final output of the amplified signal is fed to the computer which is supported by the solidification simulation software package [33]. The used computer software helps to generate the time-temperature data readings and it is shown in Table 1. By using suitable graphic package, the data is Table 1 Generated time-temperature data Time Temperature 0 1400 30 1380 60 310 90 1260 120 1200 150 1100 180 1150 210 1040 240 980 270 900 300 840 330 660 360 660 390 660 420 660 450 660 480 660 510 660 540 660 570 660 600 660 630 600 660 520 690 480 720 420 750 380 780 340 810 300 840 260 870 230 900 200 930 170 960 140 990 100 1020 70 https://www.researchgate.net/publication/222445716_Finite_element_mesh_generation_methods_A_review_and_classification?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== https://www.researchgate.net/publication/223389615_Computer_simulation_of_the_effects_of_alloy_variables_on_the_grain_structures_of_castings?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== https://www.researchgate.net/publication/233845152_Bubbles_Drops_and_Particles?el=1_x_8&enrichId=rgreq-e4300068c37c53cc17bd152d276047d2-XXX&enrichSource=Y292ZXJQYWdlOzIyODQ1MzIwNTtBUzoxMDY1NDQwNTQxNDUwMjdAMTQwMjQxMzQ5MDY4OQ== 32 T.R. Vijayaram et al. / Journal of Materials Processing Technology 178 (2006) 29–33 Graph 1. Time-temperature curve generated from the computer solidification simulation of a eutectic alloy. further converted into a time-temperature plot which is shown below in Graph 1. The obtained time-temperature profile varies for different materials poured in the liquid form in the mold. It is influenced by the type of the poured metal or alloy or composite material melted [5]. The behavior of recaleasence, latent heat of liber- ation of the material during the phase transformation, melting point, liquidus temperature, solidus temperature and solidifica-tion time can be studied from the generated graph [49,8,10]. 10. Applications of casting solidification simulation software programs Casting solidification simulation software’s are in regular use by aluminium, copper, iron and steel foundries using processes ranging from green-sand, resin-and shell-bonded sand to invest- ment and gravity die casting. Applications include [56]: • Large steel castings such as heavy weighing turbine housings and stern frames where improved yields and reduced fettling costs were achieved. • Critical high pressure valve castings. • Repetition castings such as ductile iron crank shafts, where modeling increases the chance of achieving ‘right first time’ methoding, so reducing the lead time for new castings. Solidification simulation software’s are not only used by foundry method engineers but also casting designers and purchasers are using the software’s having experienced signif- icant improved quality from their simulation software-using suppliers. 11. Conclusion Casting solidification simulation process is used to iden- tify the defective locations in the castings from the generated time-temperature contours. It is concluded that casting solidi- fication simulation technology is used to eliminate defects like shrinkage, porosity and to locate the hot spot regions which helps to design the components effectively. Besides, it is used to determine the solidification time and behavior of different materials accurately. Hence, it is used to determine the cooling rate influenced by the grain structure of castings. Solidification simulation of castings provides time-temperature data, temper- ature contours, hot spot locations, degree of recalescence, latent heat of fusion and solidification time. The time-temperature plot explains the effect of under cooling of solidifying castings which reflects more on the inside microstructures responsible for mate- rial properties Acknowledgement The authors express their sincere gratitude to the Department of Mechanical and Manufacturing Engineering, Faculty of Engi- neering, Universiti Putra Malaysia for the consent to publish this paper. References [1] T. 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