Some Study on Determination of Riser Sizes for Aluminium Alloy Castings by Using Shape Factor Method

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Some Study on Determination of Riser Sizes for Aluminium Alloy Castings by Using Shape Factor Method T. Nandi 1, S. Koyal 2 and G. Sutradhar 3 1 Associate Professor, Mechanical Engineering Department, Jadavpur University, Kolkata 2 Research Scholar, Jadavpur University, Kolkata 3 Professor, Mechanical Engineering Department, Jadavpur University, Kolkata ABSTRACT In this study, riser sizes for aluminium alloy (LM6) castings of various sizes have been determined by the shape factor method. The experimental results have also been verified by computer simulation. It is expected that this work will be of interest to both industries and academicians. Keywords: Shrinkage, Solidification, Simulation, Modulus, Optimization, Shape factor INTRODUCTION A riser, also known as a feeder is a reservoir built into a metal casting mould to prevent formation of cavities due to shrinkage. Most metals are less dense as a liquid than that as a solid. So castings develop a void at the last point to solidify. Risers prevent this by providing molten metal to the casting as it solidifies, so that the cavity forms in the riser and not in the casting. Risers are less effective on materials that have a large freezing range, because directional solidification is not easily possible. They are also not suitable for casting processes that utilised pressure to fill the mould cavity. A variety of methods have been devised to calculate the riser size needed to ensure that liquid feed metal will be available as long as the solidifying casting requires. Several commonly used methods are: i) Shape factor method ii) Geometric method iii) Modulus method iv) Computerized method Drawing on the theoretical work of Caine, researchers at the U.S. Naval Research Laboratory (NRL) devised a method to determine riser size of any steel casting by calculating a shape factor by adding the length and width of a casting section and dividing this sum by the section thickness. In case of aluminium alloys, the shape factor method has not been tried out adequately. In the present study, an attempt has been made to develop nomograms which may be used by industries for producing quality castings. METHODOLOGY In the present work, riser design for plate castings of aluminium alloy (LM6) has been investigated. The length and width of the plates are maintained constant at 100mm 100mm while the thicknesses are varied. Shape factors varies from 4 to 36. The required diameter and the height of risers are calculated by modulus method.,castings are produced by green sand casting method. The patterns and risers were made by a CNC machine. The ingredients of the green moulding sand are given Table -1. Table -1 Silica Bentonite Moisture Coal sand clay dust 86% 8% 5% 1% The mould box was of 330mm 330mm (Fig 3). Aluminium silicon alloy (LM6), has been used as the casting alloy in the present experiments. The chemical composition of the Al alloy (LM6) and the physical characteristics of moulding sand have been given in the 1

Table-2 and Table-3. The aluminium alloy was melted in a clay graphite crucible in an electric resistance furnace (Fig. 2). The molten metal was poured at a temperature of 720 0 C into a plate-shaped silica sand mould. 60mmx120mm were also tried. Upto 61mm dia x122mm height, the castings were found to be defect-free, but for a 59mm dia x118mm height riser, the casting was observed to be defective. But, for a calculated riser size of 60mm dia x120mm height, the casting was found to be defect-free. Table-5 illustrates the detailed dimensions of riser sizes, corresponding optimum riser sizes and shape factor data. Figure 4 to Fig. 8 show the physical appearance of castings produced in the laboratory. The presence of shrinkage, if any, was also critically examined. The result of simulation Table-3 :Thermo-Physical Properties of Moulding Sand Properties Sand Density(gm/cm 3 ) 1.6 Fig: 1 Thermal conductivity(w/m/k) 0.52 Specific heat (j/kg/k) 1170 Table-4: The riser dimensions as per modulus method L W T SF Riser Dim.as Per Modulus Method 100 100 50 4 67.5 135 100 100 25 8 45 90 100 100 16.7 12 33.8 67.5 Fig: 2 100 100 12.5 16 27 54 OPTIMIZATION The required dimensions of risers of all the castings were also calculated following the modulus method. Optimisation of riser sizes was done by trial and error method. For example, in case of actual riser size 67.5mm dia x135mm height, sizes of 65mmx130mm 63mmx126mm, 61mmx122mm, 59mmx118mm and 100 100 10 20 22.5 45 100 100 8.4 24 19.3 38.6 100 100 7.2 28 16.9 33.8 100 100 6.3 32 15 30 100 100 5.6 36 13.5 27 Table-2 : Chemical Composition (LM6) Elements Si Cu Mg Fe Mn Ni Zn Pb Sb Ti Al Percentage(%) 10-13 0.1 0.6 0.5 0.1 0.1 0.1 0.05 0.2 0.1 Rest 2

Table-5: Finding of Optimized Riser Size from Riser Dimensions as per Modulus Method L W T SF RISER DIM.AS PER INTERMEDIATE REMARKS MOD METHOD STEPS TO FIND THE OPTIMUM RISER DIMENSIONS 100 100 50 4 67.5 135 67.5 135 O.K 65 130 O.K 63 126 O.K 61 122 O.K 59 118 DEFECTIVE 60 120 O.K 100 100 25 8 45 90 45 90 O.K 43 86 O.K 41 82 O.K 39 78 DEFECTIVE 39.5 79 DEFECTIVE 40 80 O.K 100 100 16.7 12 33.8 6 7.5 33.8 67.5 O.K 35 70 O.K 33 66 O.K 31 62 O.K 29 58 DEFECTIVE 30 60 O.K 100 100 12.5 16 27 54 27 54 O.K 26.5 53 O.K 25.5 51 O.K 24.5 49 O.K 23.5 47 DEFECTIVE 24 48 O.K 100 100 10 20 22.5 45 22.5 45 O.K 22 44 O.K 21.5 43 O.K 21 42 O.K 19.5 39 DEFECTIVE 20 40 O.K 100 100 8.4 24 19.3 38.6 19.3 38.6 O.K 19 38 O.K 18.5 37 O.K 18 36 O.K 17.5 35 DEFECTIVE 17 34 O.K 3

L W T SF RISER DIM.AS PER INTERMEDIATE REMARKS MOD METHOD STEPS TO FIND THE OPTIMUM RISER DIMENSIONS 100 100 7.2 28 16.9 33.8 16.9 33.8 O.K 16.5 33 O.K 15.5 31 O.K 14.5 29 DEFECTIVE 15 30 O.K 100 100 6.3 32 15 30 15 30 O.K 14.5 29 O.K 14 28 O.K 13 26 DEFECTIVE 13.5 27 O.K 100 100 5.6 36 13.5 27 13.5 27 O.K 13 26 O.K 12.5 25 O.K 11.5 23 DEFECTIVE 12 24 O.K Table-6: The Optimum Riser Dimensions L W T SF OPTIMUM RISER SIZE 100 100 50 4 60 120 100 100 25 8 40 80 100 100 16.7 12 30 60 100 100 12.5 16 24 48 100 100 10 20 20 40 100 100 8.4 24 17 34 100 100 7.2 28 15 30 100 100 6.3 32 13.5 27 100 100 5.6 36 12 24 is presented in Fig. 9.The optimum net dimensions, as determined from this study are listed in Table-6. The optimum volume of riser (v r ) and the volume of casting (v c ) and the corresponding shape factors are tabulated in Table-7. From these data, a nomogram, as illustrated in Fig. 10, has been developed. In this nomogram, the ratio of the optimum volume of the riser (v r ) and the volume of the casting (v c ) (Table-6) has been plotted against the shape factor of the castings. The regions for sound and unsound castings are shown in the nomogram. It may therefore be used conveniently by LM6 alloy casting producers. Findings: The NRL method is generally used to determine the riser size for steel castings only. From the above graph, the volume of riser can be found easily from any riser volume of LM6 alloy casting. 4

Fig.3: Plate casting with riser Ø 59 mm 118 mm height (S.F 4) Fig.4: Plate casting with riser Ø 60 mm 120 mm height (S.F 4) Fig.5: Plate casting with riser Ø 40 mm 80 mm height (S.F 8) Fig. 6: Plate casting with riser Ø 29 mm 58 mm height (S.F 12) Fig. 7: Plate casting with riser Ø 12 mm 24 mm height (S.F 36) 5

Table-7: V r /V c ratios L W T SF OPTIMUM RISER SIZE Vr Vc Vr/Vc 100 100 50 4 60 120 339292 500000.68 100 100 25 8 40 80 100531 250000.4 100 100 16.7 12 30 60 42411 166700.25 100 100 12.5 16 24 48 21715 125000.17 100 100 10 20 20 40 12566 100000.13 100 100 8.4 24 17 34 7717 83340.09 100 100 7.2 28 15 30 5301 71400.07 100 100 6.3 32 13.5 27 3865 62500.06 100 100 5.6 36 12 24 2714 55500.05 Simulation results: Fig. 8 : Simulation Results 6

Fig. 9 References: 1. Application of Commercial Software Package Procast to the Prediction of Shrinkage Porosity in Investment Castings. www.mmat.ubc.ca/databases/ Details.asp?id=354 2. Viswanathan, W.D.Porter, Using of Simulation in Optimizing Mould Filling, AFS Transactions 98-59, 477-483. 3. B.Ravi, and D.Joshi, Feedability Analysis and Optimisation Driven by Casting Simulation, Indian Foundry Journal, 2007,53(6), 71-78. 4. P.Prabhakara Rao, G. Chakravarthy, A. C. S.Kumar, and G. Srinivasa Rao, 57th Indian Foundry Congress,Computerized simulation of sand casting process Institute of Indian Foundrymen, Kolkata, Feb. 2009. 5. B.Ravi, Casting method optimization driven by simulation, Minerals & Metals Review March, 2008,39-43. 6. B.Ravi, Casting Simulation and Optimisation: Benefits, Bottlenecks, and Best Practices, Indian Foundry Journal, 2008, 54 (1),?? 7. D.Joshi, and B.Ravi, Classification and Simulation based Design of 3D Junctions in Castings, American Foundry Society, 2008. 8. B.Ravi, and M.N.Srinivasan, Hot spots in Castings- computer aided Location and Experimental Validation, Transactions of the AFS, 1990,98,353-357. 9. B.Ravi, Metal Casting: Computer-Aided Design and Analysis, Prentice-Hall India, New Delhi, ISBN 2005,81 203 2726 8. 10. Richard W Heine, Carl R Loper, Philip C Rosenthal, Principles of Metal Casting, Tata McGraw-Hill (2 nd Edition). 11. T VRamana Rao, Metal Casting Principles and Practice, New Age International (P) Ltd, Publishers. 7