Feasibility and Optimization of Electrochemical Machining for 6061 Aluminum alloy

Dhia Ahmed Alazawi

doi:10.24237/djes.2018.11108

Authors

Dhia Ahmed Alazawi
Dhia.alazawi2@mail.dcu.ie
Department of Mechanical Engineering, College of Engineering, Diyala University, Iraq

Keywords:

Optimization, Electrochemical Machining, DOE

Abstract

The request depending on electrochemical machining (ECM) technique has progressed in a large scale according to different points of view such that; cost or energy consuming, environment protection, reliable performance etc. This work aims to predict and optimize ECM process parameters for important, economic and applicable material (6061 aluminum) by employing L9 Taguchi method as a design of experiment (DOE) approach. This has led to experimental designing, developing a mathematical model and optimizing the entire ECM operation. This was carried out by controlling the chosen process variables (voltage, flow rate speed and electrolyte concentration) in order to optimize and predict the responses namely material removal rate (MRR) and dissolution rate. ANOVA, 3D contour graphs and perturbation plots have been employed to identify the analysis of variance of each response as well as to show the significant model terms. The process parameters i.e. voltage, flow rate speed and electrolyte concentration have been ranged to be 15-25V, 8-12 l/min and 3.36-7 % respectively. In both cases of MRR and dissolution rate the voltage parameter has seen to be the prominent factor that affects the responses so as to investigate highest value of MRR and dissolution rate, 0.477 g/min and 2.149 mm/min, respectively. This has been confirmed due to the results obtained from the ANOVA analysis which shows maximum F-valu for the voltage in the MRR and dissolution rate such that; 921.91 and 1608.34 respectively. But, still there was a considerable enhancement in the MRR and dissolution rate due to the increment in the flow rate speed and electrolyte concentration. Model validation has been carried out and thus the results invistigated that all the considered models were adequate since the residuals in prediction of each response were ignored, because the residuals were semi-matched with the diagonal line. Optimizations of responses were performed in this work numerically by using two types of criteria (restricted and non-restricted). According to these criteria, important increment in the MRR can be obtained which reaches 37%. A considerable enhancement has been obtained in the dissolution rate due to the comparison between the two criteria which results in increment by around 11% as well.

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References

. H. Hocheng, P.S. Pa. Effective form design of electrode in electrochemical smoothing of holes. International Journal of Advanced Manufacturing Technology 21, (2003), 995–1004.

. P.S. Pa. Mechanism design of magnetic-assistance in surface finishing of end-turning. Journal of Advanced Mechanical Design, System, and Manufacturing 2, (2008), 587–596.

. P.S. Pa. Synchronous finishing processes using a combination of grinding and electrochemical smoothing on end-turning surfaces International Journal of Advanced Manufacturing Technology 40, (2009), 277–285.

. Y. Tang. Laser enhanced electrochemical machining process”. Materials and manufacturing Processes 17, (2002), 789–796.

. J. Kozak, K.E. Oczos, Selected problems of abrasive hybrid machining, Journal of Material Processing Technology. 109, (2001), 360–366.

. P.S. Pa. Design of effective plate-shape electrode in ultrasonic electrochemical finishing. International Journal of Advanced Manufacturing Technology 34(2007), 70–78.

. P.S. Pa. Super finishing with ultrasonic and magnetic assistance in electrochemical micro-machining, Electrochimica Acta 54 (2009), 6022–6027.

. J. Kozak. Mathematical models for computer simulation of electrochemical machining process. J. Mater. Process. Technol. 76 (1998), 170-175.

. A.R. Mount, D. Clifton, P. Howarth, A. Sherlock. An integrated strategy for characterisation and process simulation in electrochemical machining. J. Mater. Process. Technol. 138 (2003), 449-454.

. S.J. Ebeid, M.S. Hewidy, T.A. EI-Towell, A.H. Youssef. Towards higher accuracy for ECM hybridized with low frequency vibrations using the response surface methodology, J. Mater. Process. Technol. 149 (2004), (432-438).

. A. Pramanik, A. K. Basak, M. N. Islam. Effect of reinforced particle size on wire EDM of MMCs International Journal of Machining and Machinability of Materials. 17(2015), 139−149.

A. Pramanik. Electrical discharge machining of MMCs reinforced with very small particles. Materials and Manufacturing Processes. DOI: 10.1080/10426914, 2015.

. A. Pramanik. Developments in the non-traditional machining of particle reinforced metal matrix composites. International Journal of Machine Tools and Manufacture, 86(2014), (44−61).

. S. Srkar, S. Mitra, A. B. Bhattacharya. Parametric analysis and optimization of wire electrical discharge machining of γ-titanium aluminide alloy”. Journal of Materials Processing Technology, 159 (2005), (286−294).

. T. A. Spedding, Z. Q. Wang. Study on modeling of wire EDM process. Journal of Materials Processing Technology, 69 (1997), (18−28).

. Y. S. Liao, J. T. Huang, H. C. Su. A study on the machining-parameters optimization of wire electrical discharge machining [J]. Journal of Materials Processing Technology, 71 (1997), (487−493).

. H. K. Dave, V. J. Mathai, P. Desaik, H. K. Raval. Studies on quality of microholes generated on Al 1100 using micro-electrodischarge machining process. The International Journal of Advanced Manufacturing Technology no 7 (2013), (127−140).

. M. Burger, L. Koll, E.A. Wernera,A. Platz. Electrochemical machining characteristics and resulting surface quality of the nickel-base singlecrystalline material LEK94, J. Manuf. Processes. 14(2012), (62-70).

D. Bahre, O. Weber, A. Rebschlager. Investigation on pulse electrochemical machining characteristics of lamellar cast iron using a response surface methodology based approach, Procedia CIRP 6(2013), (363-368).

. Sekar, T., Marappan, R. Experimental Studies On Effect Of Tool Geometry Over Metal Removal Rate In ECM Process" Journal Nonconventional Technologies no. 3(2017), (107-110).

. Rajurkar, K.P., Sundaram, M. M., Malshe, A. P. Review of Electrochemical and Electrodischarge Machining. The Seventeenth CIRP Conference on Electro Physical and Chemical Machining (ISEM). Procedia CIRP 13 – 26 (6), (2013).

. D. C. Montgomery. Design and Analysis of Experiments. 2nd Edition, John Wiley & Sons, New York, 1984.

. Design-Expert software. V7, user's guide, Technical manual, Stat-Ease Inc., Minneapolis, MN, 2005.

. Rosenkranz, C., Lohrengel, M.M. and Schultze, J.W. Electrochim Acta205 (50), 2009.

. Lohrengel, M.M., Klüppel, I., Rosenkranz, C., Bettermann, H. and Schultze J.W. Electrochimica Acta “. 3203 (48 ), 2003.

. Lohrengel, M.M., Rataj, K.P., Münninghoff, T. Electrochemical Machining—mechanisms of anodic dissolution, Electrochimica Acta, 2015.

. B.R. Sarkar, B. Doloi, B. Bhattacharyya. Parametric analysis on electrochemical discharge machining of silicon nitride ceramics, Int. J. Mach. Tools Manuf. 28 (2006) 873-81.

. Lohrengel, M.M., Klüppel, I., Rosenkranz, C., Bettermann, H. and Schultze J.W. Electrochimica Acta. 3203 (48), 2003.