Abstract
The present work focuses on the machining of aluminium 6061 alloy workpiece electrodes using Electro-Chemical Machining (ECM) by varying the control parameters like voltage, feed rate and machining time. Scanning electron microscopy study is carried out to examine the microstructure of the craters of definite morphology machined on the workpiece. Optimum parameter settings to maximize the length, width and depth of the obtained features were studied individually through a parametric experimental design layout of Taguchi. The results reveal that the optimal parameter settings are found to be different for each performance objective. As a result, the grey Taguchi method has been adopted to convert the three objectives into a single objective and by considering the performance objectives concurrently, the process parameters were optimized. The favourable parameters to maximize the responses are determined to be voltage—15 V, feed rate—0.3 mm/min and machining time—5 min. Further, the effect of process parameters on the microstructure and size accuracy of the Al alloy features is studied.
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References
Karthick, K., Sahu, R.K., Pankaj, K.: Simulation study on performance characteristic of electro-chemical micro machining process. In: IOP Conference Series: Materials Science and Engineering, vol. 402, pp. 012071/1–012071/9 (2018)
Ayyappan, S., Kumar, K.S.: Enhancing the performance of electrochemical machining of 20MnCr5 alloy steel and optimization of process parameters of PSO-DF optimizer. Int. J. Adv. Manuf. Technol. 82, 2053–2064 (2016)
Thanigaivelan, R., Arunachalam, R.M., Karthikeyan, B., Longanathan, P.: Electro-chemical machining of stainless steel with acidified sodium nitrate electrolyte. Procedia CIRP 6, 351–355 (2013)
Zhengyang, X., Jia, L., Dong, Z., Ningsong, Q., Xialong, W., Xuezhen, C.: Electrochemical machining of burnt-resistant Ti-40 alloy. Chin. J. Aeronaut. 28, 1263–1272 (2015)
Das, M.K., Barman, T.K., Kumar, K., Sahoo, P.: Effect of process parameters on MRR and surface roughness in ECM of EN31 tool steel using WPCA. Int. J. Mater. Form. Mach. Process. 4, 45–63 (2017)
Chen, X., Xu, Z., Zhu, D., Fang, Z., Zhu, D.: Experimental research on electrochemical machining of titanium alloy Ti60 for a blisk. Chin. J. Aeronaut. 29, 274–282 (2016)
Li, H., Gao, C., Wang, G., Qu, N., Zhu, D.A.: Study of electrochemical machining of Ti-6Al-4V in NaNO3 solution. Sci. Rep. 6(35013), 1–11 (2016)
Song, J., Xu, W., Lu, Y.: One-step electrochemical machining of superhydrophobic surfaces on aluminum substrates. J. Mater. Sci. 47, 162–168 (2012)
Liu, J., Zhu, D., Zhao, L., Xu, Z.: Experimental investigation on electrochemical machining of γ-TiAl intermetallic. Procedia CIRP 35, 20–24 (2015)
Sahu, R.K., Mahapatra, S.S., Sood, A.K.: A study on dimensional accuracy of fused deposition modelling (FDM) processed parts using fuzzy logic. J. Manuf. Sci. Prod. 13, 183–197 (2013)
Sood, A.K., Ohdar, R.K., Mahapatra, S.S.: Improving dimensional accuracy of fused deposition modeling processed part using grey Taguchi method. Mater. Des. 30, 4243–4252 (2009)
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Sahu, R.K., Pal, V.K., Kumar, P. (2019). Microstructural and Size Accuracy Study of Electrochemical Machined Aluminium Alloy Features. In: Shunmugam, M., Kanthababu, M. (eds) Advances in Micro and Nano Manufacturing and Surface Engineering. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9425-7_65
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DOI: https://doi.org/10.1007/978-981-32-9425-7_65
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