CHARACTERIZATION OF WIRE ELECTRIC DISCHARGE MACHINING OF AISI 1040 STEEL

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Journal for Research | Volume 03 | Issue 04 | June 2017 ISSN: 2395-7549

Characterization of Wire Electric Discharge Machining of AISI 1040 Steel M. Seenivasakumar Assistant Professor Department of Mechanical Engineering Apollo Engineering College, Chennai, India

G. Saravanan Assistant Professor Department of Mechanical Engineering Apollo Engineering College, Chennai, India

Abstract Wire electrical discharge machining (WEDM) is an important non-traditional machining process, widely used in aerospace, nuclear, electronics, medical and automotive industries. AISI 1040 material used in automotive for manufacture of forged arm rod. In this work WEDM process is used to machine AISI 1040 steel. Pulse on time, pulse off time, wire feed and current were taken as input parameter. The effect of these input parameters on material removal rate (MRR), machining speed and machining time is analyzed. MRR increases with increase in pulse on time, wire feed and current whereas MRR decreases with increase in pulse off time. Keywords: WEDM, AISI 1040 Steel _______________________________________________________________________________________________________ I.

INTRODUCTION

Wire electro discharge machining has been defined as the process of material removal of electrically conductive materials using the thermo electric source of energy. The material removal is by controlled erosion through a series of repetitive spark between electrodes (Kuriakose et al, 2005).The material removal rate in EDM decreases with discharge interval is too long ( kunieda et al ). Liao et al (1997) were determined various process parameters are affecting the machining performance on metal removal rate using wire EDM. Amandeep singh et al (2015) were investigated the effect of deep cryogenic treatment on tool wear rate and material removal rate at different current level setting with EN-31 as work piece material and Copper, Brass and Graphite as electrodes with and without deep cryogenic treatment . houriyeh marashi et al (2015) were investigated a negligible amount of TI deposited over AISI steel surface will not change the property of steel intermittent pulse time and peak current shows better MRR. Sreenivasa rao et al (2014) were investigated the effect of WEDM process parameters such as pulse on time, pulse off time, peak current and servo voltage in machining of Nimonic-263 alloy. Gangaram mandaloi et al (2016) investigated for finding the material removal rate of tool steel material depends upon three variable input process parameters. I. P. Rajurkar et al (1993) investigated the influence of machine parameters on the machining performances such as material removal rate (MRR) and surface roughness. A thermal model for the WEDM process has been developed and a large number of experiments has been carried out to determine the effect of thermal load on the wire rupture frequency. From literature it is observed, researchers have analyzed the effect of WEDM process parameters on machining of difficult to machine materials. Not much work is been carried out in machining of AISI 1040 steel during WEDM process. In this work the effect of pulse on time, pulse off time, wire feed and current on MRR of AISI 1040 steel is analyzed. The details of the work are presented in the following sections. II. EXPERIMENTAL SET UP Experiments were conducted on ELECTRONICA Maxi cut Wire EDM machine with 5 controllable axes. Zinc coated brass wire of 0.25 mm diameter is used as electrode material. The experimental setup used for conducting experiment is given in Figure 1. Among the various WEDM process parameters pulse on time, pulse off time, wire feed and gap current were taken as the input parameters. The effect of these input parameters on MRR, machining speed and machining time which are taken as output parameters were analyzed. The input parameters are varied at three levels viz. pulse on time 5,7,9 Âľs; pulse off time 6,4,2 Âľs; wire feed 3,4,5 m/min and gap current 1,1.5,2 A. The machine setting parameters is given in Table 1. The parameters such as wire tension, gap voltage and machining length were maintained constant at 6 kg, 7 V, 63 mm respectively. The dielectric flushing pressure is maintained constant by keeping the valve fully opened. Three specimen of AISI 1040 steel of dimension 10 x 12 x 63 mm each is used for conduct of experiment. The effect of these input parameters on MRR, machining speed and machining time is analyzed and presented in in this paper.

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Characterization of Wire Electric Discharge Machining of AISI 1040 Steel (J4R/ Volume 03 / Issue 04 / 001)

Fig. 1: Experimental setup used for conducting experiments

Specimen 1 2 3

Pulse on time (µs) 5 7 9

Table - 1 Machine setting parameters Input parameters Output parameters Pulse off Wire Gap current MRR MS time (µs) feed (m/min) (A) (mm3/min) (mm/min) 6 3 1.0 13.63 1.5 4 4 1.5 18.20 1.7 2 5 2.0 22.75 2.0 MS – Machining speed, MT – Machining time

MT (min) 42.09 37.33 31.40

III. RESULT AND DISCUSSION Machining of AISI 1040 steel is carried out by varying the WEDM process parameters such as pulse on time, pulse off time, wire feed and gap current at three levels is given in Table 1. The effect of these input parameters on MRR, machining speed and machining time is discussed below. Influence of Process Parameter on Material Removal Rate It is observed from Table 1, MRR shows an increasing trend by increasing the pulse on time from 5 to 9 µs, wire feed from 3 to 5 m/min, gap current from 1 to 2 A and decreasing the pulse off time from 6 to 2 µs. As the pulse on time increases, the amount of energy dissipated in machining zone increases that removes more amount of material from the workpiece. As the wire feed increases, more number of spark occur in the machining zone. Increase in number of spark for a given time, removes more amount of material from workpiece that resulted in increased MRR. Increasing the current magnitude from 1 to 2A, the amount of energy dissipated per spark increases that lead to increased MRR. Decreasing the pulse off time from 6 to 2 µs, the amount of energy available per spark increases that resulted in increased MRR as shown in Figure 2. The effect of process parameters on machining speed and machining time is given in Figure 3.

Fig. 2: Effect of process parameters on MRR

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Characterization of Wire Electric Discharge Machining of AISI 1040 Steel (J4R/ Volume 03 / Issue 04 / 001)

Fig. 3: Effect of process parameters on machining time and machining speed

IV. CONCLUSIONS In this work wire electrical discharge machining of AISI 1040 steel is carried out. The input process parameters such as pulse on time, pulse off time, wire feed and gap current on material removal rate, machining speed and machining time is analyzed. It is observed, MRR increases with increase in pulse on time, wire feed, gap current and by reducing pulse off time. Increasing the pulse on time and reducing the pulse off time, the amount of discharge energy available in the gap increases that resulted in increased MRR. As the wire feed increases, the increased spark frequency in the gap resulted in increased MRR. Increasing the current magnitudes, the energy discharged per spark increases that lead to increased MRR. REFERENCES [1] [2] [3] [4] [5] [6] [7] [8]

Kuriakose and shanmugam 2004 ” Characteristics of wire – electro discharge machined Ti6Al4V surface ” in the journal of Materials letters 55(1995)380390 M. Kunieda, B. Lauwers, K. P. Rajurkar and B. M. Schumacher “ Advancing EDM through Fundamental Insight into the Process” in the journal of manufacturing technology 54(2005)64-87 Y.S. Liao, J.T. Haung and H.C.Su “A study on the machining-parameters optimization of wire electrical discharge machining” in the journal of material processing technology 71(1997) 487-493 Amandeep singh and Neel kanth grover “ Wear Properties of Cryogenic Treated Electrodes on Machining Of En-31” in the journal of materials today proceedings 2 ( 2015 ) 1406 – 1413 Sreenivasa Rao and M, Venkaiah N “Parametric optimization in machining of Nimonic-263 alloy using RSM and particle swarm optimization” in the journal of Procedia Materials Science 10 ( 2015 ) 70 – 79 Houriyeh marashi, Ahmed A.D sarhan and mohd hamdi “Employing TI-nano – powder dielectric to enhance characteristics in electrical discharge machining of AISI D2 steel” in the journal of Applied surface science 357 (2015) 892-907 Gangaram mandaloi, Subash singh, Pradeep kumar and Kaushik pal “ Effect oncrystalline structure of AISI M2 Steelusing tungsten thorium electrode through MRR EWR and surface finish” in the journal of measurement 90 (2016) 74 – 84 I. P. Rajurkar and W. M. Wang “Thermal Modeling and On-Line Monitoring of Wire-EDM” in the journal of Materials Processing Technology, 38 (1993) 417-430

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