Parametric Effects during Nonconventional Machining of PRALSICMMC by EDM

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International Journal of Advancements in Research & Technology, Volume, Issue, February-13 1 Parametric Effects during Nonconventional Machining of PRALSICMMC by EDM K. L. Meena 1, Dr. A. Manna, Dr. S.S. Banwait 3 1 Lecture, Department of Mechanical Engineering, Chandigarh college of Engineering Technology Chandigarh-119, India (Phone: 93573; e-mail: kishanmeena11@gmail.com) Associate Professor, Department of Mechanical Engineering, Punjab Engineering College Chandigarh-11, India (Phone: 9175539) 3 Professor, Department of Mechanical Engineering, NITTTR, Chandigarh-119, India. ABSTRACT Advance Particulate Reinforced Al/SiC Metal Matrix Composites (PRALSICMMC) is gradually becoming very important materials in manufacturing industries e.g. aerospace, automotive and automobile industries due to their superior properties such as light weight, low density, high strength to weight ratio, high hardness, high temperature and thermal shock resistance, superior wear and corrosive resistance, high specific modulus, high fatigue strength etc. In this study aluminium (Al-3)/SiC Silicon carbide reinforced particles metal-matrix composites (MMCs) are fabricated by melt-stirring technique. The MMCs bars and circular plates are prepared with varying the reinforced particles of SiC by weight fraction ranging from 5%, 1%, 15% and %. The average reinforced particles sizes of SiC are mesh, 3 mesh and mesh respectively. The stirring process is carried out at rev/min rotating speed by graphite impeller for 15 min. The series of machining tests are performed on EDM. Prepared specimens of Al/SiC MMCs are used as work piece (anode), copper electrodes are used as tool (cathode) and kerosene is used as the dielectric fluid. The parameters are investigated Time taken, Tool wear Rate(TWR) and Metal Removal Rate(MRR) for each experiment by varying mesh size ( mesh, 3mesh and mesh) of SiC Particles, weight fractions wt % (5%, 1%, 15%, and %) of SiC particles, Pulse Peak Current IP ( Amp, Amp, 1 Amp,1 Amp), Pulse on time Ton (3 μ sec, 5 μ sec, 7 μ sec and 9 μ sec), Pulse off time Toff (3 μ sec, 5 μ sec, 7 μ sec and 9 μ sec) and gap voltage Vg ( 5 Volts, 3 Volts, 35 Volts and Volts). The investigations of results are done graphically. KEYWORDS: Particulate Reinforced Al/SiC Metal Matrix Composites (PRALSICMMC), Silicon Carbide (SiC), Melt Stirring Technique, Tool Wear Rate(TWR) and Metal Removal Rate(MRR). 1. INTRODUCTION Metal Matrix Composites (MMC s) have very light weight, high strength, and stiffness and exhibit greater resistance to corrosion, oxidation and wear. Fatigue resistance is an especially important property of Al- MMC, which is essential for automotive application. These properties are not achievable with lightweight monolithic titanium, magnesium, and aluminium alloys. Particulate metal matrix composites have nearly isotropic properties when compared to long fibre reinforced composite. Metal Matrix Composite (MMC) is engineered combination of metal (Matrix) and hard particles (Reinforcement) to tailored properties. Stir casting is accepted as a particularly promising route, currently can be practiced commercially. Its advantages lie in its simplicity, flexibility and applicability to large quantity Copyright 13 SciResPub. production. It is also attractive because, in principle, it allows a conventional metal processing route to be used, and hence minimizes the final cost of the product. This liquid metallurgy technique is the most economical of all the available routes for metal matrix composite production and allows very large sized components to be fabricated [1]. The cost of preparing composites material using a casting method is about onethird to half that of competitive methods, and for high volume production, it is projected that the cost will fall to one-tenth []. Among the non-conventional methods, EDM is most widely and successfully applied process in machining of hard metals or those that would be very difficult to machine with traditional techniques. The material is removed from the work piece by the thermal erosion process, i.e., by a series of recurring electrical discharges between a cutting tool acting as

International Journal of Advancements in Research & Technology, Volume, Issue, February-13 an electrode and a conductive workpiece in the presence of a dielectric fluid. This discharge occurs in a voltage gap between the electrode and work piece. Heat from the discharge vaporizes minute particles of work piece material, which are then washed from the gap by the continuously flushing dielectric fluid [ 3]. The effectiveness of the EDM process with tungsten carbide is evaluated in terms of material removal rate, the relative wear ratio and the surface quality. the composite electrodes obtained a higher MRR than Cu metal electrodes; the recast layer was thinner and fewer cracks were present on the machined surface []. The regression models [5] and Taguchi methods [] are used for modeling and analyzing the influence of process Variables computer simulation of EDM machining with the side and face of the electrodes is developed [7]. The test results showed the electric discharge machining of WC-Co confirms the capability of the system of predictive controller model based on neural network with 3.% efficiency increasing in stock removal rate [ ]. In this study aluminium (Al-3)/SiC Silicon carbide reinforced particles metal-matrix composites (MMCs) are fabricated by melt-stirring technique. The MMCs bars and circular plates are prepared with varying the reinforced particles of SiC by weight fraction ranging from 5%, 1%, 15% and %. The average reinforced particles sizes of SiC are mesh, 3 mesh and mesh respectively. The stirring process is carried out at rev/min rotating speed by graphite impeller for 15 min. The series of machining tests are performed on EDM. Prepared specimens of Al/SiC MMCs are used as work piece (anode), copper electrodes are used as tool (cathode) and kerosene is used as the dielectric fluid. The parameters are investigated Time taken in each experiment, Tool wear Rate(TWR) and Metal Removal Rate(MRR) by varying mesh size( Al, mesh, 3mesh and mesh) of Sic Particles, weight fractions wt % (5%, 1%, 15%, and %) of Sic particles, Peak current Ip( Amp, Amp,1 Amp,1 Amp), Ton (3, 5, 7 and 9), Toff (3, 5, 7 and 9 ) and gap voltage Vg ( 5 Volts, 3 Volts, 35 Volts and Volts).. EXPERIMENTATION.1 Fabrication of Al/SiC metal matrix composites Silicon Carbide (SiC) reinforced particles of average particle size mesh, 3 mesh, mesh respectively are used for casting of Al-MMC,s by meltstir technique. Table (i) represents the chemical Copyright 13 SciResPub. composition of commercially available Al-matrix used for manufacturing of MMC. Different dimensions of round bars with 5 vol%, 1 vol%,15 vol% and % of reinforced particles of sizes mesh, 3 mesh, mesh respectively. Table (i) Chemical composition of matrix Al 3 alloy. Elements of Al 3 Si Mn Mg Cu Fe Ti Al %..7..1.. 9. Experiments are carried out on commercially available aluminium (Al3) as matrix and reinforced with Silicon Carbide (SiC) particulates. The melting was carried out in a clay-graphite crucible placed inside the resistance furnace. An induction resistance furnace with temperature regulator cum indicator is utilized for melting of Al/SiC-MMCs Fig. 1(a) shows designed and developed stirring setup of Fig. 1(a) Designed and developed stirring setup induction resistance furnace along with temperature regulator cum indicator. Aluminium alloy (Al 3) was first preheated at 5 C for hr before melting and SiC particulates were preheated at 11 C for 1 hr 3 min to improve the wetting properties by removing the absorbed hydroxide and other gases. The furnace temperature was first raised above the liquidus temperature, cooled down to just below the liquidus temperature to keep the slurry in asemi-solid state. At this stage the preheated SiC particles were added and mixed mechanically. The composite slurry was then reheated to a fully liquid state and mechanical mixing was carried out for min at rpm average stirring speed. In the final stage of mixing, the furnace temperature was controlled within 7 ± 1 C and the

International Journal of Advancements in Research & Technology, Volume, Issue, February-13 3 temperature was controlled at 7 C. Moulds (size mm diameter 17 mm long) made of IS- 179/3.15mm thick steel sheet were preheated to 35 C for h before pouring the molten Al/SiC -MMC. the permanent mould was prepared of steel sheet utilized for casting of mm diameter 17mm long bar. Electrical resistivity(µω cm) 1.9 Electrical conductivity compared with silver 9% Thermal conductivity (W/mK) -39 Melting point ( C) 13 Specific heat (cal/g C).9 Coefficient of thermal expansion(x1 - C -1 ). Specific gravity at C(g/cm 3 ).9.3 Experimental techniques The work piece (Al/SiC MMC) and the electrode (copper diameter.mm) are mounted on an EDM machine (EMS 53 + generator of PSR 35). Fig.1 (b) Pouring mixture of molten Al and SiC particles Fig.(b) Machined number of holes by EDM Fig.1 (c) Prepared workpiece of Al/SiC-MMCs Fig.1 (b) shows pouring mixture of molten Al and SiC particles and Fig.1 (c) shows prepared workpiece of Al/SiC-MMCs of 3 mesh. Then fabrication of composite was followed by gravity casting. Similar process was adapted for preparing the specimens of varying mesh sizes and weight fractions. The uniform size ( dia. 35 mm and thickness is mm) of workpiece was given by lathe machine.. Fabrication of electrodes A number of holes were machined shown in fig (b) where the diameter of the holes was the same as the diameter of the electrodes used. Material removal rate of the work piece material and the wear rate of the electrode were obtained based on the calculation of percentage of mass loss per machining time (wt.%/min). The work pieces and electrodes after machining have thoroughly cleaned with acetone to remove the carbon deposition, and the weight measurements were taken on electronic weighing machine, which has a resolution of.1 grams. Each experiment was repeated three times and the averaged for MRR (grams/min), TWR (grams/min) and Time taken. The MRR and TWR is defined as MRR = Difference in weight of workpiece before and after machining Time of machining Copper electrodes with diameter of. mm and length 7 mm were used in this experiment and their physical properties are given in table (ii). Table (ii) Physical properties of Copper electrodes Copyright 13 SciResPub. TWR = Difference in weight of electrode before and after machining Time of machining

International Journal of Advancements in Research & Technology, Volume, Issue, February-13 The design of experiments technique has been implemented to conduct the experiments. It is a powerful work tool which allows us to model and analyse the influence of designed variant parameters and designed constant parameters over the measured parameters. These measured parameters were unknown functions of the former designed parameters. The following designed experimental settings were done- (1) Variant parameter was Mesh Size( mesh, 3mesh and mesh and Al 3 alloy) of Sic particles and Constant parameters were Wt. % of Sic= 15%, Ip =1amp, Ton =7 μ sec, Toff= 7 μ sec, Vg =35 Volts. Machining was done and parameters were Measured Time Taken (min.), Tool Wear Rate (gm/min) and Metal Removal Rate (gm/min). The investigations of results are done graphically. () Variant parameter was Wt. % (5%, 1%, 15% and %) of Sic particles and Constant parameters were Mesh size of Sic= 3, Ip =1amp, Ton =7 μ sec, Toff= 7 μ sec, Vg =35 Volts. Machining was done and parameters were Measured Time Taken (min.), Tool Wear Rate (gm/min) and Metal Removal Rate (gm/min). The investigations of results are done graphically. (3) Variant parameter was Pulse Peak Current IP ( Amp, Amp, 1 Amp,1 Amp) and Constant parameters were Mesh size of Sic= 3, Wt. % of Sic= 15%, Ton =7 μ sec, Toff= 7 μ sec, Vg =35 Volts. Machining was done and parameters were Measured Time Taken (min.), Tool Wear Rate (gm/min) and Metal Removal Rate (gm/min). The investigations of results are done graphically. () Variant parameter was Pulse off time Toff (3 μ sec, 5 μ sec, 7 μ sec and 9 μ sec) and Constant parameters were Mesh size of Sic= 3, Wt. % of Sic= 15%, Ip =1amp, Ton =7 μ sec, Vg =35 Volts. Machining was done and parameters were Measured Time Taken (min.), Tool Wear Rate (gm/min) and Metal Removal Rate(gm/min). The investigations of results are done graphically. (5) Variant parameter was Pulse on time Ton (3 μ sec, 5 μ sec, 7 μ sec and 9 μ sec) and Constant parameters were mesh size of Sic= 3, Wt. % of Sic= 15%, Ip =1amp, Toff= 7 μ sec, Vg =35 Volts. Machining was done and parameters were Measured Time Taken (min.), Tool Wear Rate (gm/min) and Metal Removal Rate (gm/min). The investigations of results are done graphically. () Variant parameter was Gap voltage Vg ( 5 Volts, 3 Volts, 35 Volts and Volts) and Constant parameters were Mesh size of Sic= 3, Wt. % of Sic= 15%, Ip =1amp, Ton =7 μ sec, Toff= 7 μ sec. Machining was done and parameters were Measured Time Taken (min.), Tool Wear Rate (gm/min) and Metal Removal Rate (gm/min). The investigations of results are done graphically. 3 RESULTS AND DISCUSION 3.1 Results Graph All the experimental results are presented on graphs [from fig.3 to ] as shown hereunder. In these graphs all measured parameters Time Taken (min.), Tool Wear Rate (gm/min) and Metal Removal Rate (gm/min) are taken on vertical axes, variant parameters mesh size ( mesh, 3mesh and mesh) of SiC Particles, weight fractions wt % (5%, 1%, 15%, and %) of SiC particles, Pulse Peak Current IP ( Amp, Amp, 1 Amp,1 Amp), Pulse on time Ton (3 μ sec, 5 μ sec, 7 μ sec and 9 μ sec), Pulse off time Toff (3 μ sec, 5 μ sec, 7 μ sec and 9 μ sec) and gap voltage Vg ( 5 Volts, 3 Volts, 35 Volts and Volts) are on horizontal axes and constant parameters are shown in box. 9 7 5 3 1 Sic = 15%, I p =1amp, T on =7 μ sec, T off = 7 μ sec, V g =35 3 Al 3 Mesh size of Sic Particles Fig. 3 Time Vs Mesh size of Sic Particles Copyright 13 SciResPub.

International Journal of Advancements in Research & Technology, Volume, Issue, February-13 5.3.5..15.1.5 Sic = 15%, I p =1amp, T on =7 μ sec, T off = 7 μ sec, V g =35 3 Al 3 Mesh size of Sic Particles Fig. Tool Wear (gm/min) Vs Mesh size of Sic Particles MRR (gm/min)..7..5..3..1 Sic = 15%, I p =1amp,T on =7 μ sec, T off = 7 μ sec, V g =35 3 Al 3 Mesh size of Sic Particles Fig. 5 MRR (gm/min) Vs Mesh size of Sic Particles 7 5 3 1 3 Mesh, I p =1amp, T on =7 μ sec, T off = 7 μ sec, V g =35 5% 1% 15% % Wt. % of Sic Particles Fig. Time Vs Wt.% of Sic Particles MRR(gm/min) Fig. 7 Tool Wear (gm/min) Vs Wt.% of Sic Particles Fig. MRR (gm/min) Vs Wt.% of Sic Particles Fig. 9 Time Vs Pulse Peak Current (IP) Amp..5..3..1 1 1 1.35.3.5..15.1.5 3 Mesh,I p =1amp, T on =7 v, T off = 7 μ sec, V g =35 5% 1% 15% % Wt. % of Sic Particles 3 Mesh, Sic 15%, T on =7, T off = 7, V g =35 1 1 Pulse Peak Current (IP) Amp 3 Mesh, Sic 15%, T on =7, T off = 7, V g =35 1 1 Pulse Peak Current (IP) Amp Fig. 1 Tool Wear (gm/min) Vs Pulse Peak Current (IP) Amp.3.5..15.1.5 3 Mesh,I p =1amp, T on =7 μ sec, T off = 7 μ sec, V g =35 5% 1% 15% % Wt. % of Sic Particles MRR(gm/min).5..35.3.5..15.1.5 3 Mesh, Sic 15%, T on =7, T off = 7, V g =35 1 1 Pulse Peak Current (IP) Amp Copyright 13 SciResPub.

International Journal of Advancements in Research & Technology, Volume, Issue, February-13 Fig. 11 MRR (gm/min) Vs Pulse Peak Current (IP) Amp 9 7 5 3 1.3.5..15.1.5 3 Mesh, Sic 15%, I p =1 Amp, T on =7, V g =35 3 5 7 9 Pulse off timet off (μ sec) Fig. 1 Time Vs Pulse off time Toff (μ sec) 3 Mesh, Sic 15%, I p =1 Amp, T on =7, V g =35 3 5 7 9 Pulse off timet off (μ sec) Fig. 13 Tool Wear (gm/min) Vs Pulse off time Toff (μ sec) MMR (gm/min)..5..3..1 3 Mesh, Sic 15%, I p =1 Amp, T on =7, V g =35 3 5 7 9 Pulse off timet off (μ sec) Fig. 1 MRR (gm/min) Vs Pulse off time Toff (μ sec) 1 1 1.35.3.5..15.1.5 3 Mesh, Sic 15%, I p =1 Amp, T off = 7, V g =35 3 5 7 9 Pulse on timet on (μ sec) Fig. 15 Time Vs Pulse on time Ton (μ sec) 3 Mesh, Sic 15%, I p =1 Amp, T off = 7, V g =35 3 5 7 9 Pulse on timet on (μ sec) Fig. 1 Tool Wear (gm/min) Vs Pulse on time Ton (μ sec) MRR (gm/min).5..35.3.5..15.1.5 3 Mesh, Sic 15%, I p =1 Amp, T off = 7, V g =35 3 5 7 9 Pulse on timet on (μ sec) Fig. 17 MRR (gm/min) Vs Pulse on time Ton (μ sec) 1 3 Mesh, Sic 15%, I p =1 Amp, T on =7 μ sec, T off = 7 μ sec, 5 3 35 Gap voltage (V g ) volts Copyright 13 SciResPub.

International Journal of Advancements in Research & Technology, Volume, Issue, February-13 7 Fig. 1 Time Vs Gap voltage (Vg ) volts Fig. 19 Tool Wear (gm/min) Vs Gap voltage (Vg ) volts MMR(gm/min).3.5..15.1.5.7..5..3..1 3 Mesh, Sic 15%, I p =1 Amp, T on =7 μ sec, T off = 7 μ sec 5 3 35 Gap voltage (V g ) volts 3 Mesh, Sic 15%, I p =1 Amp, T on =7 μ sec, T off = 7 μ sec, 5 3 35 Gap voltage (V g ) volts Current (IP) ( Amp, Amp, 1 Amp,1 Amp) metal remove rate and Tool Wear rate increases and time taken decreases.. Effect of Pulse off time Toff (μ sec) Fig. 1,13 and 1 shows the effect of Pulse off time Toff (μ sec) on, Tool wear Rate (gm/min) and Metal Removal Rate (gm/min). With increase of Pulse off time Toff (3 μ sec, 5 μ sec, 7 μ sec and 9 μ sec) metal remove rate and Tool Wear rate decreases and time taken increases. 5. Effect of Pulse on time Ton (μ sec) Fig. 15,1 and 17 shows the effect of Pulse on time Ton (μ sec)on, Tool wear Rate (gm/min) and Metal Removal Rate (gm/min). With increase of Pulse on time Ton (3 μ sec, 5 μ sec, 7 μ sec and 9 μ sec) metal remove rate and Tool Wear rate increases and time taken decreases.. Effect of Gap voltage (Vg ) volts Fig. 1, 19 and shows the effect of Gap voltage (Vg ) volts on, Tool wear Rate (gm/min) and Metal Removal Rate (gm/min). With increase of Gap voltage Vg ( 5 Volts, 3 Volts, 35 Volts and Volts) metal remove rate and Tool Wear rate increases and time taken decreases. Fig. MRR (gm/min) Vs Gap voltage (Vg) volts 3. DISCUSSION 1. Effect of Mesh size of Sic Particles Fig. 3, and 5 shows the effect of Mesh size on,tool wear Rate (gm/min) and Metal Removal Rate (gm/min). With increase of Mesh Size ( mesh, 3 mesh, and mesh) of SiC particles time taken and Tool Wear rate decreases and metal remove rate increases.. Effect of Wt.% of Sic Particles Fig.,7 and shows the effect of Wt.% of Sic Particles on,tool wear Rate (gm/min) and Metal Removal Rate (gm/min). With increase of Wt.% (5% <1%<15%< %) of Sic particles time taken and Tool Wear rate increases and metal remove rate decreases. 3. Effect of Pulse Peak Current (IP) Fig. 9,1 and 11 shows the effect of Pulse Peak Current (IP) Amp on, Tool wear Rate (gm/min) and Metal Removal Rate (gm/min). With increase of Pulse Peak. CONCLUSION Maximum MRR can be achieved at high value of Ip, Ton, Vg and low value of Toff, Mesh size of Sic Particles, Wt. % of Sic Particles. Minimum TWR can be achieved at low value of Ip, Ton, Vg, Mesh size of Sic Particles and Wt.% of Sic Particles. Minimum Time is consumed at high value of Ip, Ton, Vg and low value of Toff, Mesh size of Sic Particles, Wt. % of Sic Particles. REFERENCES 1. M.K. Surappa, J. Mater. Proc. Tech., Vol. 3, 1997, pp. 35 333.. D.M. Skibo, D.M. Schuster, and L. Jolla, Process for preparation of composite materials Containing nonmetallic particles in a metallic matrix, and composite materials, US Patent No., 19, pp. 7 7. 3. I. Puertas, C.J. Luis, A study on the machining parameters optimisation of electrical discharge machining, J. Mater. Process. Technol., Vol. 13 1, 3, pp.51 5. Copyright 13 SciResPub.

International Journal of Advancements in Research & Technology, Volume, Issue, February-13. H.C.Tsai, EDM Performance of Cr/Cu-based composite electrodes, International Journal of Machine Tool & Manufacture, Vol. 3, 3, pp. 5-5. 5. G.Petropoulos, N. M. Vaxevanidis, and C. Pandazaras, Modeling of surface finish in electro-discharge machining based upon statistical multi-parameter analysis, J. Mater. Process. Technol., Vol.155 15,, pp. 17 151.. P. M.George, B. K.Raghunath, and L. M. Manocha, EDM machining of carbon carbon composite a Taguchi approach, J. Mater. Process. Technol, Vol.15, pp. 71. 7. R.A. Mahdavinejad, Optimisation of electro-discharge machining parameters, Int. J. achiev. Mater. manuf. Vol.7,, pp.13-1.. R.A. Mahdavinejad, EDM process optimisation via predicting a controller model, Int. J. comp. mater. sci. surf. Engg. Vol.1, 9, pp. 11-17. 9. P. Srinivasa Rao, Parametric Study of Electrical Discharge Machining of ALSI 3 Stainless steel, International Journal of Engineering Science and Technology, Vol. (), 1, pp. 3535-355. Copyright 13 SciResPub.