Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization

Ti–6Al–4V is widely used in the aerospace, automobile, and biomedical fields, but is a difficult-to-machine material. Electrical discharge machining (EDM) is regarded as one of the most effective approaches to machining Ti–6Al–4V alloy, since it is a non-contact electro-thermal machining method, and it is independent from the mechanical properties of the processed material. This paper aims to combine grey relational analysis and Taguchi methods to solve the problem of EDM parameters optimization. From the viewpoint of health and environment, tap water as working fluid has good working environment, since it does not release harmful gas. The process parameters include discharge current, gap voltage, lifting height, negative polarity and pulse duty factor. The electrode wear ratio (EWR), material removal rate (MRR) and surface roughness (SR) as objective parameters are chosen to evaluate the whole machining effects. Experiments were carried out based on Taguchi L9 orthogonal array and grey relational analysis, and then verified the results through a confirmation experiment. Compared the machining parameters A1B1C3D2 with A1B2C2D2, MRR increased from 1.28 mm3/min to 2.38 mm3/min, EWR decreased from 0.14 to 0.10 mm3/min and SR decreased from Ra 2.37 μm to Ra 1.93 μm. The process parameters sequenced in order of relative importance are: the ratio of pulse width to pulse interval, discharge current, lifting height and gap voltage. The results showed that using tap water machining Ti–6Al–4V material can obtain high MRR, decrease the machining cost and have no harmful to the operators and the environment.

[1]  Hamid Baseri,et al.  Experimental study of rotary magnetic field-assisted dry EDM with ultrasonic vibration of workpiece , 2013 .

[2]  B. Yan,et al.  Influence of kerosene and distilled water as dielectrics on the electric discharge machining characteristics of Ti–6A1–4V , 1999 .

[3]  Vinod Yadava,et al.  Diamond face grinding of WC-Co composite with spark assistance: Experimental study and parameter optimization , 2010 .

[4]  Kazuo Yamazaki,et al.  A fundamental study on Ti–6Al–4V's thermal and electrical properties and their relation to EDM productivity , 2008 .

[5]  Baoping Cai,et al.  Study of the recast layer of a surface machined by sinking electrical discharge machining using water-in-oil emulsion as dielectric , 2011 .

[6]  J. L Lin,et al.  The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics , 2002 .

[7]  B. Yan,et al.  Study on the characteristics of electrical discharge machining using dielectric with surfactant , 2009 .

[8]  Pradeep Kumar,et al.  Technology and research developments in powder mixed electric discharge machining (PMEDM) , 2007 .

[9]  Kamlakar P Rajurkar,et al.  Electrical discharge machining of Ti6Al4V with a bundled electrode , 2012 .

[10]  Yan-Cherng Lin,et al.  Optimization of machining parameters using magnetic-force-assisted EDM based on gray relational analysis , 2009 .

[11]  Jatinder Kumar,et al.  Modeling the material removal rate in ultrasonic machining of titanium using dimensional analysis , 2010 .

[12]  Bijoy Bhattacharyya,et al.  Comparative study of different dielectrics for micro-EDM performance during microhole machining of Ti-6Al-4V alloy , 2010 .

[13]  I. Pashby,et al.  A review on the use of environmentally-friendly dielectric fluids in electrical discharge machining , 2004 .

[14]  Noriah Yusoff,et al.  Electrical Discharge Machining (EDM): Practices in Malaysian Industries and Possible Change towards Green Manufacturing , 2012 .

[15]  Chung-Chen Tsao,et al.  Optimization of the EDM parameters on machining Ti–6Al–4V with multiple quality characteristics , 2010 .

[16]  Baoping Cai,et al.  Sinking EDM in water-in-oil emulsion , 2013 .

[17]  H I Medellin,et al.  Experimental study on electrodischarge machining in water of D2 tool steel using two different electrode materials , 2009 .

[18]  Bülent Ekmekci,et al.  Residual stresses and white layer in electric discharge machining (EDM) , 2007 .

[19]  John Atkinson,et al.  A comparative experimental study of machining characteristics in vibratory, rotary and vibro-rotary electro-discharge machining , 2002 .

[20]  Hwa-Teng Lee,et al.  Study of surface integrity using the small area EDM process with a copper–tungsten electrode , 2004 .

[21]  Norliana Mohd Abbas,et al.  A review on current research trends in electrical discharge machining (EDM) , 2007 .

[22]  Won Tae Kwon,et al.  Optimization of EDM process for multiple performance characteristics using Taguchi method and Grey relational analysis , 2010 .

[23]  U. Çaydas,et al.  Electrical discharge machining of titanium alloy (Ti–6Al–4V) , 2007 .

[24]  A. Haq,et al.  Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using grey relational analysis in the Taguchi method , 2008 .

[25]  P. S. Satsangi,et al.  Analysis of rotary electrical discharge machining characteristics in reversal magnetic field for copper-en8 steel system , 2008 .

[26]  Pradeep Kumar,et al.  Numerical simulation of powder mixed electric discharge machining (PMEDM) using finite element method , 2008, Math. Comput. Model..

[27]  A. Khan,et al.  Reducing electrode wear ratio using cryogenic cooling during electrical discharge machining , 2009 .

[28]  C. Wang,et al.  Optimizing multiple quality characteristics via Taguchi method-based Grey analysis , 2007 .

[29]  Mahmudur Rahman,et al.  An experimental study on micro-EDM in low-resistivity deionized water using short voltage pulses , 2012 .

[30]  B. Yan,et al.  The effect in EDM of a dielectric of a urea solution in water on modifying the surface of titanium , 2005 .

[31]  S. P. Sivapirakasam,et al.  Multi-attribute decision making for green electrical discharge machining , 2011, Expert Syst. Appl..

[32]  Jagdev Singh,et al.  Effect of Deep Cryogenic Treatment on Machinability of Titanium Alloy (Ti-6246) in Electric Discharge Drilling , 2010 .

[33]  Amir Abdullah,et al.  Effect of ultrasonic vibration of tool on electrical discharge machining of cemented tungsten carbide (WC-Co) , 2008 .

[34]  R. Arumugam,et al.  Multi-objective optimization of flat plate heat sink using Taguchi-based Grey relational analysis , 2011 .

[35]  Sharanjit Singh,et al.  Review to EDM by Using Water and Powder-Mixed Dielectric Fluid , 2011 .

[36]  Ming-Chang Jeng,et al.  Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis , 2009 .

[37]  F. Klocke,et al.  Technological and Economical Comparison of Roughing Strategies via Milling, EDM and ECM for Titanium- and Nickel-based Blisks , 2012 .

[38]  Biing-Hwa Yan,et al.  Machining characteristics of titanium alloy (Ti–6Al–4V) using a combination process of EDM with USM , 2000 .

[39]  A Pandey,et al.  Current research trends in variants of Electrical Discharge Machining: A review , 2010 .