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Comparative study on variation of process characteristics on al and die steel process
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Comparative study on variation of process characteristics on al and die steel process
1.
International Journal of
Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 4, Issue 3, April (2013), © IAEME 170 COMPARATIVE STUDY ON VARIATION OF PROCESS CHARACTERISTICS ON AL AND DIE STEEL COMPONENTS IN SINK EDM PROCESS 1 K.L.Uday Kiran, 2 R.Rajendra, 3 G.Chandramohan Reddy, 4 A.M.K Prasad 1, 2, 4 University College of Engineering, Osmania University, Hyderabad, A.P, India 3 Mahatma Gandhi Institute of Technology, Hyderabad, A.P, India ABSTRACT: Electrical Discharge Machining (EDM) process is a well established non-traditional machining option for manufacturing geometrically complex and hard material parts that are extremely difficult to machine by conventional machining process. In this process the material removal is occurred electro thermally by a series of successive discrete discharges between electrode and the work piece. This paper presents the results of experimental studies carried out to conduct a comprehensive investigation on the influence of EDM parameter (current) on process characteristics in sink EDM process. The studied process characteristics included material removal rate, tool wear ratio, and surface roughness parameters of two work pieces (Al & Die steel) by using a common tool (Cu). The variation of process characteristics at different currents was studied. The observation revealed that the MRR, TWR, Surface roughness parameters and machining time of work pieces were influenced by current and thereby improves the quality of surface finishing and rate of production. The results of this study could be utilized in the selection of optimum process parameter (current) to achieve the desired EDM efficiency and surface roughness when machining Al and Die steel. Keywords: EDM, Machining time, Material removal rate, Surface roughness, Tool wear ratio. 1. INTRODUCTION Electrical Discharge Machining (EDM) is one of the important non-traditional machining processes and it is widely accepted as a standard machining process in manufacturing industries. The theory of the process was established by soviet scientists in the middle of 1940’s. They invented the relaxation circuit and a simple servo controller tool that helped to maintain the gap width between the tool and the work piece. This reduced arcing and made EDM machining more profitable and produced first EDM machining in 1950’s. Major development of EDM was observed when computer numerical control systems were applied for the machine tool industry. Thus, the EDM Process became automatic and unattended machining method. The process uses thermal energy to generate heat that melts and vaporizes the workpeice by ionization within the dielectric medium. The electrical INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY (IJARET) ISSN 0976 - 6480 (Print) ISSN 0976 - 6499 (Online) Volume 4, Issue 3, April 2013, pp. 170-177 © IAEME: www.iaeme.com/ijaret.asp Journal Impact Factor (2013): 5.8376 (Calculated by GISI) www.jifactor.com IJARET © I A E M E
2.
International Journal of
Advanced Research i 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 4, Issue 3, April (2013), © IAEME discharges generate impulsive pressure by dielectric explosion to remove the melted material. Thus, the amount of removed material can be effectively controlled to produce complex and precise machine components. However, the melted material is flushed away incompletely and the remaining material re-solidifies to form discharge craters. As a result, machined surface has micro cracks and pores caused by high temperature gradient which reduces surface finish quality. There have been published studies continuing surface finish of machined materials by EDM. It was noticed that various machining parameters influenced the surface roughness and by setting possible combination of material removal rate and tool wear ratio surface roughness parameters are pulsed current, pulse time, pulse pause time, voltage, dielectric liquid pressure and electrode material. The present study removal rate, tool wear ratio and maximum height of the profile -Rz & Maximum roughness depth Components using copper tool in EDM 2 .MECHANISM OF EDM The working principle of EDM process is based on the thermoelectric energy. Discharge Machining (EDM) is a controlled metal means of electric spark erosion. In this electrode submerged in a dielectric fluid with the passage of electrode are separated by a specific small gap gap filled with an insulating medium, preferably a (de-mineralized) water as in fig.1.a [2] work piece to produce the finished part to the desired shape. The metal by applying a pulsating (ON/OFF) electrical charge of high the work piece. This removes (erodes) ver controlled rate. Fig. 1(a). Working principle of EDM The polarity normally used is straight (or normal polarity) in which tool is while in reverse polarity the tool is tool is towards the work piece is controlled by a servomechanism. The sparking takes place over the entire surface of the work piece hence the replica of the tool is produced on the work piece. Usually, a component made by EDM process is machined in two stages, viz poor surface finish and finish machining at low MRR with high surface finish. International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 6499(Online) Volume 4, Issue 3, April (2013), © IAEME 171 discharges generate impulsive pressure by dielectric explosion to remove the melted material. Thus, the amount of removed material can be effectively controlled to produce complex and precise owever, the melted material is flushed away incompletely and the remaining solidifies to form discharge craters. As a result, machined surface has micro cracks and pores caused by high temperature gradient which reduces surface finish quality. There have been published studies continuing surface finish of machined materials by EDM. It was noticed that various machining parameters influenced the material removal rate, tool wear ratio surface roughness and by setting possible combination of these parameters optimum surface quality ool wear ratio was obtained. The machining parameters which influence surface roughness parameters are pulsed current, pulse time, pulse pause time, voltage, dielectric d electrode material. The present study deals with the effect of current on surface roughness parameters (Average roughness Rz & Maximum roughness depth –Rzmax) of Al a EDM process. The working principle of EDM process is based on the thermoelectric energy. Discharge Machining (EDM) is a controlled metal-removal process that is used to remove met means of electric spark erosion. In this process the energy is created between a work piece and an ctric fluid with the passage of electric current. The work piece and the by a specific small gap called spark gap. Pulsed arc discharges occur in this insulating medium, preferably a dielectric liquid like hydrocarbon oil or de as in fig.1.a [2]. The electric spark is used as the cutting tool to cut (e work piece to produce the finished part to the desired shape. The metal-removal process is performed by applying a pulsating (ON/OFF) electrical charge of high-frequency current through the electrode to (erodes) very tiny pieces of metal from the work Working principle of EDM Fig. 1(b) Normal and reverse polarity in EDM The polarity normally used is straight (or normal polarity) in which tool is –ve and work piece is +ve, while in reverse polarity the tool is +ve and work piece is negative shown in fig 1.b. Movement of the he work piece is controlled by a servomechanism. The sparking takes place over the entire surface of the work piece hence the replica of the tool is produced on the work piece. Usually, a component made by EDM process is machined in two stages, viz. rough machining at high MRR with poor surface finish and finish machining at low MRR with high surface finish. n Engineering and Technology (IJARET), ISSN 6499(Online) Volume 4, Issue 3, April (2013), © IAEME discharges generate impulsive pressure by dielectric explosion to remove the melted material. Thus, the amount of removed material can be effectively controlled to produce complex and precise owever, the melted material is flushed away incompletely and the remaining solidifies to form discharge craters. As a result, machined surface has micro cracks and There have been published studies continuing surface finish of machined materials by EDM. It was ool wear ratio and these parameters optimum surface quality, machining parameters which influence surface roughness parameters are pulsed current, pulse time, pulse pause time, voltage, dielectric the effect of current on material (Average roughness -Ra, Average of Al and Die-Steel The working principle of EDM process is based on the thermoelectric energy. Electrical removal process that is used to remove metal by created between a work piece and an The work piece and the Pulsed arc discharges occur in this dielectric liquid like hydrocarbon oil or de-ionized spark is used as the cutting tool to cut (erode) the removal process is performed frequency current through the electrode to work piece at a Normal and reverse polarity in ve and work piece is +ve, ovement of the he work piece is controlled by a servomechanism. The sparking takes place over the entire surface of the work piece hence the replica of the tool is produced on the work piece. Usually, a machining at high MRR with
3.
International Journal of
Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 4, Issue 3, April (2013), © IAEME 172 3. DESCRIPTION OF EXPERIMENTAL SET-UP 3.1 Machine tool The experimental setup consists of CR-6C Creator (SYCNC PC-60) Sink type Electro Discharge Machine, Taiwan (shown in fig. 2) available at Department of Mechanical Engineering, University College of Engineering, Osmania University, Hyderabad-500007. It is energized by a 50 A pulse generator. Ruslic oil dielectric fluid was used during the experiments. The surface roughness was measured by Handy surf Surface testing analyzer 3.2 Work piece material The work piece materials in this work were Al and Die steel, having the properties shown in Table.1 3.3 Electrode material Electrode material considered for analysis was copper and its properties being shown in Table.2 Table.1: Work piece material properties Material Al Die-Steel Density(g/cm3 ) 2.70 7.7-8.0 Thermal conductivity (W/m K) 237 19.9-48.3 Electrical resistivity (µΏ/cm) 26.50 72 Coefficient of thermal expansion (x 10-6 0 C-1 ) 23.1 9.5-15.1 Melting point (o C) 660 1435 Table.2: Electrode material properties (copper) (g/cm3) Thermal conductivity (W/m K) Electrical resistivity (µΏ/cm) Coefficient of thermal expansion (x 10-6 0 C-1 ) Melting point (o C) 8.9 268-389 1.96 6.6 1083 3.4 Experimental Procedure The Experimental study was carried out on CR-6C Creator (SYCNC PC-60) Sink type Electro Discharge Machine using ruslic oil as a die electric fluid. The experiments on Die steel and Al samples which were in the form of cylindrical shapes of diameter 50mm each were carried out using different machining setting’s with Copper electrode. Cylindrical copper tool’s with a diameter of 12mm each ware used as electrode’s for machining both Al and die steel work pieces. The copper electrodes ware finished ground before experimental study. Three work pieces of each Aluminum and Die Steel were used and machined on EDM using separate copper electrodes giving 1mm depth at three different currents (i.e. 10 A, 15 A & 20 A). Fig. 2 Sink type Electro Discharge Machine Fig 3 shows the Tool (Cu) and Work piece (Al)
4.
International Journal of
Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 4, Issue 3, April (2013), © IAEME 173 The material removal rate of Al and die steel work pieces were determined by the following equation MRR = (Wb-Wa ) /Tm , where Wb =Weight of the work piece before machining Wa =Weight of the work piece after machining Tm = Machining time in min The tool wear rate of copper tool for machining Al and Die steel work pieces ware determined by the following equation [3]. TWR = (Wtb-Wta ) /Tm, where Wtb =Weight of the tool before machining Wta =Weight of the tool after machining Tm = Machining time in min The surface roughness parameters (Ra, Rz & Rz max) of machined surfaces of each material at corresponding currents (10A, 15A & 20 A) were measured by Handy surf Surface testing analyzer (made in Japan). The sampling length of machined surface was taken as 1.25mm. Electronic weighing machine was used to find the weights of work samples before and after machining. The machining time were also recorded for carrying out analysis. 4. RESULTS AND DISCUSSION 4.1 Effect of current on material removal rate: When the current is increased from 10A to 20A, the corresponding MRR shown in fig. 4 for Al increases from 6.22 to 10.87(x 10-3 gm/min) and from 9.20 to 17.99 (x 10-3 gm/min) for Die steel respectively. The MRR values for Al and Die steel are shown in the Table. 3. Table.3: MRR values of Al and Die steel work samples The peak current increases the input power by which the increase of MRR is expected due to more spark energy flowing from tool into work piece. This causes craters and pits on the sample and machining becomes faster. 4.2 Effect of current on tool wear rate: When the current increases from 10A to 20A, the corresponding TWR shown in fig.5 for machining Al increases from 1.70 to 7.80 (x 10-3 gm/min) and from 2.20 to 9.60 (x 10-3 gm/min) for Die steel. The TWR values are shown in the table.4. Higher current causes a strong spark which results in more eroded material from the tool. Current (Amps) Aluminum Work Sample Die Steel Work Sample Weight(gms) Time (min) MRR×10-3 (gm/min) Weight(gms) Time (min) MRR×10-3 (gm/min) Before After Difference Before After Difference 10 213.40 212.08 1.32 212 6.22 589.24 586.4 6 2.78 302 9.20 15 212.40 210.90 1.50 162 9.25 587.04 583.6 4 3.40 231 14.71 20 218.30 216.50 1.74 160 10.87 575.48 571.3 6 4.12 229 17.99
5.
International Journal of
Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 4, Issue 3, April (2013), © IAEME 174 Table.4: TWR values of copper tool for machining Al and Die steel work samples Fig .4 Material Removal Rate vs Current for Al & Die steel samples Fig .5 Tool Wear Rate vs Current of Copper Tool for Machining Al & Die steel samples 4.3 Effect of current on surface roughness parameters: Average roughness (Ra), average maximum height (Rz) and maximum roughness depth (Rzmax) of the profile parameters variation on surface of Die steel and Al work samples for variation of current parameter at 10, 15, 20 Amps for 1 mm depth erosion. When the current is increased from 10A to 20A, the corresponding average roughness, average maximum height and maximum roughness depth values shown in fig. 6(a) for Al increase from 1.62 to 1.97 µm, 9.03 to 10.86 µm and 10.96 to 14.54 µm respectively. Similarly for Die steel as shown in fig. 6(b), the corresponding average roughness, average maximum height and maximum roughness depth values increases from 1.99 to 2.55µm, 10.02 to 13.43µm and 10.90 to 15.40 µm respectively. The surface roughness parameter values for Al and Die steel are shown. At a low current, a small quantity of heat is generated and a substantial portion of it is absorbed by the surroundings. As a result, the amount of utilized energy in melting and vaporizing Current (Amps) For Machining Aluminum Work Sample For Machining Die Steel Work Sample Weight(gms) Time (min) TWR×10-3 (gm/min) Weight(gms) Time (min) TWR×10-3 (gm/min) Before After Difference Before After Difference 10 96.68 96.32 0.36 212 1.70 96.32 95.64 0.68 302 2.20 15 95.16 94.74 0.42 162 2.60 93.04 91.66 1.58 231 5.97 20 98.02 96.76 1.20 160 7.80 94.60 92.40 2.20 229 9.60
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International Journal of
Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 4, Issue 3, April (2013), © IAEME 175 the electrodes is not so intense. However, with an increase in pulse current and with a constant amount of pulse on-time, a stronger spark with higher thermal energy is produced, and a substantial quantity of heat will be transferred into the electrodes. Furthermore, as the pulse current increases, discharge strikes the surface of the sample more intensely, and creates an impact force on the molten material in the crater and causes more molten material to be ejected out of the crater, so the surface roughness of the machined surface increases [4]. Fig .6 (a) Surface Roughness Parameters (Ra, Rz & Rzmax) vs Current for Al samples 4.4 Effect of current on machining time: When the current is increased from 10A to 20A, the corresponding machining time was decreased from 212 to 160 min for Al and 302 to 229 min for Die steel samples as shown in fig.7. The machining time for both samples at corresponding currents as depicted in Table.6. Table.6: Machining Time for Al & Die steel work pieces: . Fig .7 Machining Time vs Current for Al & Die steel samples Current (Amps) Machining Time in min Al Die steel 10 212 302 15 162 231 20 160 229
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International Journal of
Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 4, Issue 3, April (2013), © IAEME 176 5. CONCLUSIONS Analysis from an experimental investigation on the effect of current on material removal rate, tool wear ratio and surface roughness parameters in EDM process have been presented. The leading conclusions are drawn as follows: 1. The increase in pulse current leads to a sharp increase in the MRR and surface roughness of both Al and Die steel samples, low currents produce good surface finish quality. 2. At higher currents the surface finishing quality will be low, but the MRR will be high which leads to improve the rate of production. 3. It was evident that the tool wear ratio increases by the increase in the pulse current, but was less compared to MRR values for same currents. 4. It was experimental that for same currents the material removal rate, tool wear ratio and surface roughness parameters of Die steel work samples were more than that of Al samples. 5. There was a high increase in material removal rate for Die steel compared to Al work pieces for same machining time. 6. It was observed that the machining time decreases as the current increases and the machining time of Die steel work samples were more than that of Al samples. ACKNOWLEDGEMENTS The authors are thankful to the managements of their respective institutions for their encouragement during the course of this work. REFERENCES 1. Benedict G.F. (1987) Non-traditional manufacturing Process, Marcel Dekker Inc., New York. 2. Kuldeep ojha, Garg R. K., Singh K. K.(2010), MRR Improvement in Sinking Electrical Discharge Machining: A Review, Journal of Minerals & Materials Characterization & Engineering., Vol. 9, No.8, pp.709-739. 3. Nikhil kumar et al. (2012), Comparative study for MRR on Die-Sinking EDM using Electrode of Copper & Graphite, Int. Journal of Advanced Tech. & Engg. Research., vol.2,issue 2,170- 174. 4. Shabgard M.R et al. (2010), Influence of input parameters on characteristics of EDM process, Journal of Mechanical Engineering. 5. Lee S.H, Li X.P, (2001), Study of the effect of machining parameters on the machining characteristics in electrical discharge machining of Tungsten carbide, Journal of material processing Technology., 115 344-358. 6. Ho K.H, Newman S.T.(2003), State art of electrical discharge machining (EDM), Int, Journal of Machine Tools & Manufacture , 43 (2003) 1287-1300. 7. Mc Geough J.A. (1988), Advanced Methods of Machining, Chapman and Hall, London. 8. Snoeys R., Stalens F., and Dekeyser W. (1986). Current Trends in Non-conventional material Removal Processes. Annals of the CIRP, Vol.35 (2).P.467. 9. CIRP Scientific Technical Committee E (1979), Summary specification of Pulse analyzers for spark erosion machining.vol.2.No.2. 10. Vitlin V.B (1977), Electro-contact abrasion as a Finishing metal cutting process, Machines and Tooling. Vol.48.No.4.pp.32-34. 11. Pandey P.C. and Shan H.S. (1980). Modern Machining processes, Tata McGraw-Hill, New Delhi, India. 12. Dauw D.F., Snoeys R. and Dekyser W. (1983),Advanced Pulse Discrimating system for EDM Process Analysis and Control. Annals CIRP, vol., 32, pp. 541-549.
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International Journal of
Advanced Research in Engineering and Technology (IJARET), ISSN 0976 – 6480(Print), ISSN 0976 – 6499(Online) Volume 4, Issue 3, April (2013), © IAEME 177 13. Hewuvelman C.J.(1980),CIRP Technical Reports, Annals CIRP,vol 29, No.2,pp.541-544. 14. Jilani S.T. and Pandey P.C (1984), Experimental Investigations into the performance of water as Dielectric in EDM,Int. Mach. Tool Design & Res., vol.24,No.1.pp.31-43. 15. Masuzawa T.and Heuvelman C.J. (1983), A self Flushing method with spark erosion machining, Annals of CIRP, vol.32, pp, 109-111. 16. Quinlan J.C (1983), Harnessing the spark –the evolution in EDM, Tooling & Prod.,37-42. 17. Suzuki K., Umematsu T. and Nakagawa T.(1987), on Machine Trueing Dressing of Metals Bond of Metal Bond grinding wheels by Electric discharge Machining .Annals CIRP,Vol.36, No.1,pp. 115-118. 18. K.H.Ho, S.T.Newman (2003), State of the art of electrical discharge machining, Int. Mach. Tool & Mfg, 43, pp.1287-1300. 19. Mane S.G., Hargude N.V., PVPIT Budhgaon, Sangli “An Overview Of Experimental Investigation Of Near Dry Electrical Discharge Machining Process” International Journal Of Advanced Research In Engineering & Technology (IJARET)Volume 3,Issue 2, 2012,pp. 22 - 36, ISSN PRINT : 0976-6480, ISSN ONLINE : 0976-6499 20. Prof. P. R. Cheke, Prof. D. S. Khedekar, Prof. R. S. Pawar, Dr. M. S. Kadam, “Comparative Performance Of Wet And Near-Dry Edm Process For Machining Of Oil Hardned Non Sinking Steel Material” International Journal Of Mechanical Engineering & Technology (IJMET) Volume 3, Issue 2, 2012, pp 13 - 22, ISSN PRINT: 0976 – 6340, ISSN ONLINE: 0976 – 6359