Arabian Journal for Science and Engineering
https://doi.org/10.1007/s13369-019-03978-5
RESEARCH ARTICLE - MECHANICAL ENGINEERING
Influence of Process Parameters on Machinability of Inconel 718
by Electrochemical Micromachining Process using TOPSIS Technique
T. Geethapriyan
1
· T. Muthuramalingam
2
· K. Kalaichelvan
3
Received: 17 September 2018 / Accepted: 15 June 2019
© King Fahd University of Petroleum & Minerals 2019
Abstract
Accurate and precise micromachining with intricate features is an essential requirement for various applications of engineering
materials in the present scenario. This is effectively achieved by the enhancing the electrochemical machining process, since it
is a new and promising technique offering distinct advantages in overall machining quality. The turbine performance depends
on a turbine blade and many small apertures with varying diameters of 0.5–4 mm for reducing the heat produced during its
operation for improving efficiency. The present study was carried out for investigating the effects of diverse input process
factors on the machining accuracies in the electrochemical micromachining process under two different electrolytes such
as sodium chloride and sodium nitrate. The sodium chloride was found to have a higher material removal rate compared to
sodium nitrate as electrolyte. A better surface finish and radial overcut were achieved with sodium nitrate compared to sodium
chloride electrolyte. The optimum combination of ECMM process parameters was determined using TOPSIS method and
verified with a confirmation test.
Keywords Inconel 718 · NaCl · NaNO
3
· TOPSIS · Optimization
1 Introduction
Electrochemical machining process (ECMM) is a non-
traditional machining technique specifically developed
for hard-to-cut materials, such as nickel-based alloys
like Inconel, Monel and Hastelloy. It is the suitable
option for aerospace, automotive and marine applications.
Geethapriyan et al. [1] studied the different process param-
eters such as ECMM voltage, concentration of electrolyte,
micro-tool feed rate and duty ratio. The complications were
analyzed during the investigation to correlate multiple char-
acteristics of machining parameters. Alexandre and Atanas
[2] studied about the recent developments and innovations in
the field of electrochemical micromachining and also mon-
itored the variable parameters governing electrochemical
B T. Muthuramalingam
muthu1060@gmail.com
1
Department of Mechanical Engineering, SRM Institute of
Science and Technology, Kattankulathur, India
2
Department of Mechatronics Engineering, SRM Institute of
Science and Technology, Kattankulathur, India
3
Department of Ceramic Technology, Anna University, A.C.T.
Campus, Chennai, India
micromachining. It was particularly noted that the usage of
sodium chloride increased the current efficiency when com-
pared to sodium nitrate.
Tang and Guo [3] conducted electrochemical machin-
ing on special S-03 steel using sodium nitrate and sodium
chlorate as electrolyte and studied the microstructure of the
machined specimen. It has been observed that the nature of
electrolyte can affect the machinability in ECMM process.
Asokan et al. [4] investigated the influence of electrochemi-
cal micromachining process on machining of hardened steel
using artificial neural network (ANN) optimization tech-
nique. It has been inferred that the adaptation of optimization
approach can enhance the machinability in ECMM process.
Munda and Bhattacharyya [5] chose the following input
parameters to optimize the performance factors pulse-on and
pulse-off time ratio, voltage, concentration of electrolyte, fre-
quency and tool vibration for machining copper plates in
ECMM process using response surface methodology (RSM).
The surface performance measures can be analyzed in an
efficient way by utilizing a scanning electron microscope
(SEM). Kumar et al. [6] cited grey relational analysis (GRA)
employed for optimizing the wire-EDM of Inconel X-750
material. However, the selection of the grey coefficient in
GRA method is a tedious one. Franci and Joze [7] explained
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