International Journal of Engineering Trends and Technology (IJETT) – Volume 26 Number 4- August 2015 Analysis on the effects of machining parameters on the performance characteristics in the EDM process of Ti-6Al-4V G.Kumanan1, D.Kanagarajan2, R.Karthikeyan3 1 Assistant Professor, Directorate of Distance Education Annamalai University, Annamalainagar, Tamil Nadu, India 2 Assistant Professor, Department of Manufacturing Engineering, Annamalai University, Annamalainagar, Tamil Nadu India Department of Mechanical Engineering, Birla institute of technology, Dubai. Abstract — Electrical discharge machining (EDM) is a process for shaping hard metals and forming deep complex shaped holes by arc erosion in all kinds of electro-conductive materials. The objective of this paper is to study the influence of operating parameters such as peak current(I), pulse on time(Ton), electrode rotational speed(S) and flushing pressure(P) of Ti-6Al-4V on the machining characteristics of material removal rate(MRR) and surface roughness (Ra). The effectiveness of EDM process with Ti-6Al-4V is evaluated in terms of the material removal rate and the surface roughness of the work piece produced. It is observed that copper is most suitable for use as the tool electrode in EDM of Ti-6Al-4V. The experiments were performed on a newly designed experimental setup developed in the laboratory. The response surface methodology is used to identify the most influential parameters for maximizing the metal removal rate and for minimizing the surface roughness. The surface was also explored by a scanning electron microscope (SEM) to evaluate the effects of the electrical discharge machining. Moreover, a pertinent EDM process with high efficiency and high quality of machined surface could be accomplished to satisfy modern industrial applications. Keywords: EDM, Ti-6Al-4V, MRR, Ra, RSM, SEM I. INTRODUCTION Titanium alloys have received considerable interest recently due to their excellent corrosion resistance, high strength-to-weight ratio, high strength at elevated temperatures and biological compatibility. In this manner, they are used in a wide range of applications in the aerospace, automotive, chemical and medical industries. However, the main reason for the increase in demand for titanium in the past few years has been the large consumption in the aerospace sector. The excellent strength-to-weight ratio of titanium alloys provides a decrease of aircraft weight and, therefore, a reduction in fuel consumption and emissions[1-2]. However, titanium and its alloys are very difficult to machine materials owing to several inherent properties of the material. ISSN: 2231-5381 Electro discharge machining is very good tool for machining of this type of material, It has been widely applied in the modern metal industry for producing complex cavities in moulds and dies, which are difficult to manufacture by conventional machining. The use of electrical discharge machining in the production of forming tools to produce plastics mouldings, die castings, forging dies etc. The EDM is a well- established machining choice for manufacturing geometrically complex, hard material parts that are extremely difficult to cut by conventional machining process. This is because proper selection of the machining parameters can yield the best performance with a particular machining setup. It is in general observed that out of the two main performance characteristics, MRR and surface roughness (Ra) have traditionally received greater research attention in comparison to surface roughness even though EDM is largely used for its high precision quality [3-4]. In this study four design factors; peak current(I), pulse on time(Ton), electrode rotational speed(S) and flushing pressure(P) of EDM, were chosen as variables in order to study the process performance in terms of MRR and surface roughness(Ra). The experiments were performed on a newly designed experimental setup developed in the laboratory. The response surface methodology is used to identify the most influential parameters for maximizing the metal removal rate and for minimizing the surface roughness. Accordingly, mathematical models have been developed, using design of experiments (DOE) technique to select the optimum machining conditions for machining of Ti-6Al-4V using electro discharge machining. II. EXPERIMENTAL TECHNIQUE 2.1. Equipments used The experiments were carried out using a die sinking EDM (Electronica-M100 MODEL) machine. The electrode was fed downwards using servo-control into the work piece. A copper cylindrical electrode of 12 mm diameter was used as the tool. Kerosene was used as a dielectric fluid and the dielectric fluid was circulated by lateral flushing. The experiments were http://www.ijettjournal.org Page 190 International Journal of Engineering Trends and Technology (IJETT) – Volume 26 Number 4- August 2015 performed with peak current (I), pulse on time (Ton), electrode rotational speed(S) and flushing pressure (P) as variables. The studies have been undertaken to investigate the effects of on MRR and Ra. The selected work piece material for the research work is Ti-6Al-4V. The ranges of these parameters are selected on the basis of preliminary experiments conducted by using one variable at a time approach. The process parameters and their levels selected for the study are listed in Table 1. Table 1 Process parameters and their levels Levels Process parameters -2 -1 0 1 2 5 7.5 10 12.5 15 Pulse on time (μs) 100 200 300 400 500 Rotational speed(rpm) 50 100 150 200 250 0.5 1 1.5 2 2.5 Peak current (A) 2 Flushing pressure(kg/cm ) Table 2 Experimental design matrix and results for MRR and Ra Experiment No Peak current (I) (A) Pulse on time(T) (µs) Electrode rotational speed(S) (rpm) Flushing pressure (P) (kg/cm2) MRR (g/min) Ra (µm) 1 7.5 200 100 1 0.3676 0.0667 2 12.5 200 100 1 0.4170 0.0652 3 12.5 400 100 1 0.4840 0.0850 4 12.5 400 100 1 0.5650 0.0879 5 7.5 200 200 1 0.4009 0.0520 6 12.5 200 200 1 0.3960 0.0670 7 12.5 400 200 1 0.4917 0.0606 8 12.5 400 200 1 0.5130 0.0610 9 12.5 200 100 2 0.4080 0.0670 10 12.5 200 100 2 0.4616 0.0670 11 7.5 400 100 2 0.4720 0.0700 12 12.5 400 100 2 0.6360 0.0712 13 7.5 200 200 2 0.5355 0.0758 14 12.5 200 200 2 0.5180 0.0742 15 7.5 400 200 2 0.6358 0.0700 16 12.5 400 200 2 0.6914 0.0480 17 5 300 150 1.5 0.4410 0.0620 18 15 300 150 1.5 0.5721 0.0620 19 10 100 150 1.5 0.3558 0.0682 20 10 500 150 1.5 0.5721 0.0801 21 10 300 50 1.5 0.4948 0.0880 22 10 300 250 1.5 0.5909 0.0712 23 10 300 150 0.5 0.4320 0.0590 24 10 300 150 2.5 0.5719 0.0590 25 10 300 150 1.5 0.5205 0.0571 26 10 300 150 1.5 0.5224 0.0520 27 10 300 150 1.5 0.5205 0.0571 28 10 300 150 1.5 0.5205 0.0571 29 10 300 150 1.5 0.5000 0.0560 30 10 300 150 1.5 0.5250 0.575 31 10 300 150 1.5 0.5205 0.0571 ISSN: 2231-5381 http://www.ijettjournal.org Page 191 International Journal of Engineering Trends and Technology (IJETT) – Volume 26 Number 4- August 2015 Experiments were conducted according to DOE concept covering the full range of input variables. For each experiment, a new set of tool and work piece has been used. The response variable calculated for this study are metal removal rate(MRR) and surface roughness(Ra). MRR, Ra are used to evaluate machining performance. The MRR is expressed as the ratio of the difference of weight of the work piece before and after machining to the machining time, (g/min) (1) Where and are the weights of the work piece before and after machining, and ‘t’ is the machining time. The surface roughness is measured on a surf coder SE1200 surface testing analyzer. For each sample, five set of readings on surface roughness have been taken and the average value of those five readings has been considered as the final reading and the results are presented in Table 2. 2.2. Procedure of response surface methodology Response surface methodology (RSM) is a collection of statistical and mathematical techniques useful for design of experiments and optimizing process parameters. In this work, RSM is utilized for establishing the relations between the different EDM process parameters with a variety of machining criteria and exploring their effects on MRR and Ra. To perform this task second order polynomial response surface mathematical models can be developed. In the general case, the response surface is described as (2). (2) Where, y is the corresponding response of MRR and Ra yield by the various EDM process variables and the xi (1, 2 , , , , n) are coded levels of n quantitative process variables, the terms C0,Ci,Cii and Cij are the second order regression coefficients. The second term under the summation sign of this polynomial equation is attributable to linear effect, whereas the third term corresponds to the higher-order effects; the fourth term of the equation includes the interactive effects of the process parameters. Equation (3) can be rewritten according to the four variables used as in(3). (3) ISSN: 2231-5381 Where: x1, x2, x3 and x4 are peak current (I), pulse on time (Ton), electrode rotational speed(S) and flushing pressure (P) respectively. MRR=0.51757+0.027696I+0.059038Ton+0.023471S +0.041788P+0.015081ITon0.018344IS+0.00680625IP-0.00133125 TonS+0.00249375TonP+0.027194SP-0.00346057I20.014111Ton2+0.00561443S2-0.00461057P2g/min. (4) Ra=0.056943-0.000233333I+0.00351667Ton0.004375S +0.00240833P+0.0006625ITon0.000675IS+0.00005IP-0.00235TonS0.004.275TonP+0.0060625SP+0.00134554I 2 +0.00449554Ton2+0.00574554S2-0.000654464P2µm. (5) III. RESULTS AND DISCUSSION 3.1 Effect of current (I) and pulse on time (Ton) on MRR and Ra The Material removal rate in EDM mainly occurs by melting, evaporation, and spalling. Spalling is typical for some ceramic materials. This spalling effect is most often related to the generation of large micro cracks (perpendicular and parallel to the top surface) generated during EDM. These larger micro cracks make the separation of a small volume of material during successive discharges much easier [6]. The effect of parameters on MRR and Ra has been analysed through contour plots. A contour plot shows how a response variable relates to two factors based on a model equation 4 and 5. The surface roughness of an electro discharge machined product can be defined as a chip-forming process where the chips are spherical debris melted by sparks [7]. So the surface roughness is depending on the size of spark crater. A large discharging energy causes violent sparks and impulsive forces and results in deeper and larger erosion, sand large size of the crater was produced on the machined surface [8]. The optimum pulse current and pulse on time is obtained as 12.5 amps and 400 μs. As the pulse current increases, the MRR, and the Ra increases. The increase in current intensity increases the pulse energy and hence, the MRR increases with current intensity. The increase in MRR increases the debris in the gap. This event is due to the increase in discharge energy, which subsequently causes a larger crater on the surface of the body. The MRR decreased with an increase in the pulse duration. Short pulse duration would cause less surface vaporization, whereas long pulse duration could cause the plasma channel to expand and to decrease the energy density for the workplace. The longer the spark is sustained to more material removal rate. Consequently, the resulting craters will be broader, deeper and therefore, the surface finish will be rougher. Obviously, with shorter duration of sparks, the surface finish will be better. http://www.ijettjournal.org Page 192 International Journal of Engineering Trends and Technology (IJETT) – Volume 26 Number 4- August 2015 Design-Expert® Software Factor Coding: Actual Ra µm Design points above predicted value Design points below predicted value 0.0929 With a positively charged work piece the spark leaves the tool and strikes the work piece resulting in the machining. Except during roughing, all the sparks that leave the tool will result in a microscopic removal of particles from the surface. Hence, the increase in pulse on time has negative effects in all the objectives and the optimum value obtained is close to the minimum value of pulse on time. 0.041 0.1 X1 = A: Peak current(I) A X2 = B: Pluse on Time (Ton) µs 0.09 Design-Expert® Software Factor Coding: Actual MRR g/min Design points above predicted value Design points below predicted value 0.6914 Fig.1(a) presents the influence of peak current and pulse on time on material removal rate. The experimental results evidence that increasing peak ampere increase the material removal rate for pulse on time. In EDM process, the material removal rate is a function of electrical discharge energy. The increase of peak current generates high energy intensity and due to this energy melts more material from the work piece. Thus the material removal rate increases with increases of peak current. In general, the power of the spark and frequency defined by the number of pulses per second determine the process performance. The low frequency and high power combination results in high metal removal. As pulse on time increases the frequency reduces and consequently longer pulse duration increases material removal rate. It is revealed from the results that the combination of high pulse on time and high power conceive more material removal rate. The same results are achieved by the researches of [7-9]. Fig.1(b) shows the interaction effect of the pulse on time with current on Ra. It predicts the Ra value increases with increasing pulse on time at any value of current. The machining rate is proportional to the current intensity. High amperage generally requires a large machining area and produces greater Ra. This will be observed at high peak current and long pulse on time; the reason for the larger roughness values with higher pulse duration can be explained by the generation of the large craters owing to large amounts of energy. Fig.1(c) shows the surface contains larger craters, cavities and cracks, which would result in a poor surface finish. 0.3558 g /m in Actual Factors C: Rotational Speed (S) rpm = 150.00 D: Flushing Pressure (P) kgf/cm2 = 1.50 µ m 0.07 0.05 0.06 0.04 0.03 500.00 15.00 400.00 12.50 300.00 B: Pluse on Time (Ton) µs . 10.00 200.00 7.50 100.00 5.00 A: Peak current(I) A Fig.1(b).Effect of peak current and pluse on time on Ra Fig1(c) .SEM micrographs of machined surface obtained by EDM 3.2 Effect of current (I) and electrode rotational speed(S) on MRR and Ra 0.8 0.7 0.6 0.5 M RR X1 = A: Peak current(I) A X2 = B: Pluse on Time (Ton) µs 0.08 R a Actual Factors C: Rotational Speed (S) rpm = 150.00 D: Flushing Pressure (P) kgf/cm2 = 1.50 0.4 0.3 500.00 15.00 400.00 12.50 300.00 B: Pluse on Time (Ton) µs 10.00 200.00 7.50 100.00 5.00 A: Peak current(I) A Fig.1(a).Effect of peak current and pluse on time on MRR ISSN: 2231-5381 The optimum electrode rotational speed is obtained as 200rpm .The increase in electrode rotation would increase the MRR decrease the surface roughness. When the cylindrical electrode rotates, due to the centrifugal action, a new layer of dielectric fluid is drawn into the machining gap. This induces a conductive atmosphere for effective discharge and encourages process stability. The rotation of the electrode also contributes to better heat transfer from the electrode, thus bringing down the electrode’s surface temperature. With an increased peripheral speed of the electrode, the ignition time delay increases, thus bringing down the energy transferred through the individual discharges for material removal. This diminishes the crater dimensions to give http://www.ijettjournal.org Page 193 International Journal of Engineering Trends and Technology (IJETT) – Volume 26 Number 4- August 2015 a better roughness value. Fig.2(a) and 2(b) depicts the influence of peak current and rotational speed on MRR and Ra. Also shows that the value of MRR increases with increasing of rotational speed. Design-Expert® Software Factor Coding: Actual MRR g/min Design points above predicted value Design points below predicted value 0.6914 roughness improved gradually for all current levels, with certain levels after that it will decrease 0.3558 0.8 g /m in X1 = A: Peak current(I) A X2 = D: Flushing Pressure (P) kgf/cm2 Actual Factors B: Pluse on Time (Ton) µs = 300.00 C: Rotational Speed (S) rpm = 150.00 Design-Expert® Software Factor Coding: Actual MRR g/min Design points above predicted value Design points below predicted value 0.6914 0.7 0.6 0.3558 M R R 0.5 0.8 g /m in X1 = A: Peak current(I) A X2 = C: Rotational Speed (S) rpm Actual Factors B: Pluse on Time (Ton) µs = 300.00 D: Flushing Pressure (P) kgf/cm2 = 1.50 0.4 0.3 0.7 0.6 2.50 M R R 0.5 15.00 2.00 12.50 1.50 0.4 10.00 D: Flushing Pressure (P) kgf/cm2 1.00 0.3 Design-Expert® Software Factor Coding: Actual Ra µm Design points above predicted value 15.00 value Design points below predicted 0.0929 250.00 200.00 12.50 100.00 7.50 0.1 0.09 Actual Factors 0.08 A: Peak current(I) A 50.00 5.00 Ra Pluse on Time (Ton) µs = 300.00 Fig. 2(a)Effect of peak current and rotational B:C:speed on MRR. Rotational Speed (S) rpm = 150.00 0.1 X1 = A: Peak current(I) A X2 = C: Rotational Speed (S) rpm 0.07 0.06 0.05 0.04 0.03 0.09 µm 0.08 Ra Actual Factors B: Pluse on Time (Ton) µs = 300.00 D: Flushing Pressure (P) kgf/cm2 = 1.50 10.00 X1 = A: Peak current(I) A X2 = D: Flushing Pressure (P) kgf/cm2 µm C: Rotational Speed (S) rpm 0.041 A: Peak current(I) A Fig.3(a) Effect of peak current and flushing pressure on MRR. 0.041 150.00 Design-Expert® Software Factor Coding: Actual Ra µm Design points above predicted value Design points below predicted value 0.0929 7.50 0.50 5.00 2.50 0.07 15.00 2.00 0.06 12.50 1.50 0.05 10.00 D: Flushing Pressure (P) kgf/cm2 1.00 0.04 7.50 0.50 5.00 A: Peak current(I) A Fig.3(b) Effect of peak current and flushing pressure on Ra 0.03 250.00 15.00 200.00 IV. Conclusion 12.50 150.00 C: Rotational Speed (S) rpm 10.00 100.00 7.50 50.00 5.00 A: Peak current(I) A Fig.2(b) Effect of peak current and rotational speed on Ra 3.3 Effect of current (I) and electrode flushing pressure(P) on MRR and Ra The optimum flushing pressure is obtained as 2Kg/cm2. As the flushing pressure increases, it helps to move away the debris from the workpiece, which is removed by the spark discharges. The machining performance is improved since the removed particles in the machining gap are evacuated more efficiently, so the MRR increases. It can be seen that when flushing pressure is less than a certain pressure, it is impossible to do any machining. The improved flushing pressure results in maximum MRR as well as improved surface finish. Fig.3 (a) depicts the influence of peak current and flushing pressure on MRR. Also shows that the value of MRR increases with increasing of flushing pressure. The flushing pressure of the dielectric fluid enhances the MRR, with increase in pressure of the dielectric fluid, the MRR tends to increase. This is because the machining performance has been improved, as the removed particles in the machining gap are evacuated more efficiently. The Fig.3(b) shows that the value of Ra increases with increase in peak current at least up to the maximum level, and it tends to increase the high valve of flushing pressure. Along with increased flushing pressure the surface ISSN: 2231-5381 In this work, the Ti–6Al–4V alloy was machined by an electrical discharge machining process with different machining conditions and copper electrode as the tool material. Summarizing the main features of the results, the following conclusions may be drawn. EDM characteristics of Ti-6Al-4V have been studied. RSM revealed that the all four input parameters such as peak current(I), pulse on time(Ton), electrode rotational speed(S) and flushing Pressure(P) are the most influential parameters for MRR and Ra. When the increase the flushing pressure to the dielectric fluid, the surface roughness deteriorated with an increase in peak current. Since an increase in the peak current increased the discharge energy and the impulsive force, removing more molten material and generating deeper and larger discharge craters. Hence, the surface roughness became coarser. http://www.ijettjournal.org Page 194 International Journal of Engineering Trends and Technology (IJETT) – Volume 26 Number 4- August 2015 REFERENCES [1] Md. Ashikur Rahman Khan1 M.M. Rahman, K. Kadirgama, M.A. Maleque and M.Isha Journal of Mechanical Engineering and Sciences 1(2011)16-24. [2] C.H.C. 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Hanumantha Rao and M. Srinivasa Rao, Development of hybrid model and optimization of metal removal rate in electric discharge machining using artificial neural networks and genetic algorithm, ARPN Journal of Engineering and Applied Sciences, 209 (2008) 1512-1520. ISSN: 2231-5381 http://www.ijettjournal.org Page 195