0% found this document useful (0 votes)
24 views12 pages

Electrochemical Machining (ECM) and Its Recent Development

Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
24 views12 pages

Electrochemical Machining (ECM) and Its Recent Development

Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 12

Jurnal Tribologi 28 (2021) 20-31

Electrochemical machining (ECM) and its recent development


Chan Jia Yuan, Ahmad Shahrun Hijrie Abu Bakar, Muhamad Najib Roslan, Cheah Weng Cheng,
Muhammad Nadzmie Syafiq Mohd Rosekhizam, Jaharah A. Ghani *, Zaliha Wahid

Centre for Materials Engineering and Smart Manufacturing (MERCU), Mechanical Engineering
Programme, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia,
43600 Bangi, Selangor, MALAYSIA.
*Corresponding author: jaharahaghani@ukm.edu.my

KEYWORDS ABSTRACT
Electrochemical machining (ECM) is a process that
utilized electrolysis process for the removal of the
unwanted material and suitable for manufacturing
difficult to cut electrically conductive material with
complicated and intricate shapes. Depending on the ECM
parameters, a wide range of surface roughness values can
Electrochemical machining
be obtained ranging from 0.2–12.5 µm Ra. Meanwhile wire
(ECM)
electrochemical machining (WECM) is a variant of ECM
Electrolysis
where the part is formed with the relative motion between
Wire electrochemical
the wire electrode and the workpiece. WECM has the
machining (WECM)
advantage of producing more complicated part, higher
Fuzzly logic (FL)
accuracy, better quality with less energy consumption for
critical parts such as surgical blades. In addition, various
recent developments to improve the output of the ECM are
such as combining ECM with magnetic abrasive finishing
(MAF) to decrease the machining time, and jet-ECM to
overcome the formation of passivation layers.

1.0 INTRODUCTION
Nowadays, electrochemical machining (ECM) has become a viable method for machining
components in numerous industrial applications, particularly in the manufacture of typical aero-
engine components with complex structures fabricated from materials that are difficult to cut.
This is because of several advantages, such as no tool wear, independence on the mechanical
properties of the material, and high machining efficiency. Electrochemical machining (ECM) is a
machining method that able to generate intricate shapes and geometries on various advanced
engineering material by eroding materials from workpiece through electrochemical dissolution

Received 10 August 2020; received in revised form 4 September 2020; accepted 20 November 2020.
To cite this article: Yuan et al. (2021). Electrochemical machining (ECM) and its recent development. Jurnal Tribologi
28, pp.20-31.
Jurnal Tribologi 28 (2021) 20-31

at atomic level (Das & Chakraborty 2020). ECM is a perfect technique to machine hard materials
as it does not affect by the hardness of workpiece (Schubert et al., 2017). When compare with
other machining method, ECM does not generate that much thermal energy among the tool and
the workpiece (Sathiyamoorthy et al., 2015). There are other benefits of ECM such as no thermal
stress, no relevant tool wear, able to generate complex shapes and shining surfaces without
additional processes (Lohrengel et al., 2015).
Electrochemical machining (ECM) is a method of removing metal by an electrochemical
process. ECM is also defined as reverse electroplating, in which material is removed instead of
added (Valenti, 2001, Todd et al., 1999). It is normally used for mass production and is used for
working extremely hard materials or materials that are difficult to machine using conventional
methods. Its use is limited to electrically conductive materials. It is similar in concept to electrical
discharge machining (EDM) in that a high current is passed between an electrode and the part,
through an electrolytic material removal process having a negatively charged electrode (cathode),
a conductive fluid (electrolyte), and a conductive workpiece (anode) however, in ECM there is no
tool wear. The ECM cutting tool is guided along the desired path close to the work but without
touching the piece. Unlike EDM, however, no sparks are created. High metal removal rates are
possible with ECM, with no thermal or mechanical stresses being transferred to the part, and
mirror surface finishes can be achieved. In the ECM process, a cathode is advanced into an anode.
The pressurized electrolyte is injected at a set temperature to the area being cut. The feed rate is
the same as the rate of liquefication of the material (Valenti et al., 2001). The gap between the tool
and the workpiece varies within 80–800 micrometers. As electrons cross the gap, material from
the workpiece is dissolved, as the tool forms the desired shape in the workpiece. The electrolytic
fluid carries away the metal hydroxide formed in the process. ECM can cut small or odd-shaped
angles, intricate contours or cavities for hard and exotic metals, such as titanium aluminides, high
nickel, cobalt, and rhenium alloys. Both external and internal geometries can be machined. The
ECM process is most widely used to produce complicated shapes such as turbine blades with good
surface finish for difficult to machine materials. It is also widely and effectively used as a
deburring process.

2.0 WORKING PRINCIPLE OF ECM


In ECM, the workpiece material is removed by electrolysis (Anonymous, 2020). A tool,
usually copper (-ve electrode), of the desired shape is kept at a fixed distance away from the
electrically conductive workpiece (+ve electrode), which is immersed in a bath containing a fast-
flowing electrolyte and connected to a power supply. The workpiece is then dissolved by an
electrochemical reaction to the shape of the tool. The electrolyte also removes the ‘sludge’
produced at the workpiece surface. The value consistency of an inter electrode gap (IEG) in ECM
depends on various factors, namely electrolyte temperature, the thickness of the passive layer
produced and the efficiency of IEG residue removal. These factors play a vital role in promoting a
constant current density at the IEG which results in obtaining a better material removal rate
(MRR) and surface roughness (Sathiyamoorthy et al., 2015). The main disadvantage of the ECM is
as it requires the need for electrical conductors for the electrode materials and the workpiece.
The removal rate of material decreases linearly with applied voltage and decreases nonlinearly
with the feed rate of the devices (Sathiyamoorthy et al., 2015). The working principle of ECM
involves a high current is passed between an electrode and the component, through an electrolytic
material removal method providing a negative charged electrode (cathode), a conductive fluid

21
Jurnal Tribologi 28 (2021) 20-31

(electrolyte), and a conductive workpiece (anode). Figure 1 shows the schematic diagram of ECM
process.

Figure 1. Principle of ECM. Adapted after Anonymous, (2010).

Optimum utilization of ECM requires consistent current density by selecting optimum


parameters. Since the ECM process requires high initial investment, tooling and maintenance
costs, the optimum choice of process parameters is required in order to achieve better results. Xu
et al., (2016) has studied the effect of electrolyte concentration and temperature on the
dissolution voltage. Their study proves that electrolyte with greater concentration will have a
lower dissolution voltage, allowing the ECM to be carried out at lower voltage. Same thing
happened to electrolyte with higher temperature. They claimed that the temperature of
electrolyte will influence the velocity of reactive ion exchange due to the kinetic and
thermodynamic effect, thus causing a lower dissolution voltage for electrolyte with higher
temperature. Sadegh, (2017) had implemented FL into ECM to control the feed rate and flow rate
of electrolyte. In this study, a fuzzy logic controller (FLC) was built to make sure the ECM system
will always remain at optimum situation. The author had tested the controller by forcing the ECM
into short circuit situation. The controller is then turned on and brought the system back to
optimum process condition.
There are several advantages of ECM, because it is a contactless machining method, suitable
for difficult-to-cut materials, regardless of their hardness and strength. During the process, the
shaped cathode tool does not wear because only hydrogen is released on the cathode. Moreover,
high material removal rates can be achieved as well as high machining accuracy and good surface
quality without the occurrence of deformation, micro cracks, residual stress, a recast layer, or heat
affected zones. In addition, due to the cost of predevelopment of tools and fixtures as well as the
investment required for unique machine tools, ECM is specifically used in large bath-size
production to reduce cost (Xu & Wang, 2019). In addition, due to the cost of predevelopment of
tools and fixtures as well as the investment required for unique machine tools, ECM is specifically
used in large bath-size production to reduce cost (Xu & Wang, 2019). The advantages and
disadvantages of ECM compare to other processes are summarized and shown in Table 1.

22
Jurnal Tribologi 28 (2021) 20-31

Table 1: Advantages and disadvantages of ECM compare to other processes.


ECM Abrasive water jet (AWJ) Milling process
Advantages Disadvantages Advantages Disadvantages Advantages Disadvantages
The metal is
ECM is well Suitable of removed at a
suited for the removal of faster rate as The cost of the
Initial tooling Not suitable for
machining of deposits the cutter has milling
can be timely soft and ductile
complex two- (oxides, got multiple machine is
and costly materials.
dimensional coating, etc.) on cutting edges high.
shapes. surface. and rotates at a
higher speed.
It is possible to As milling
Wide range of perform cutters cost
Environmentall
Delicate parts surface finish Abrasive is not machining by high, the
y harmful by-
may be made can be reusable. mounting more investment for
products
obtained. than one cutter procuring tools
at a time. is more.
Process is The table of the
Abrasive
Difficult-to- independent of machine can be
Complicated collection and
machine electrical or moved to an
tool design. disposable are
geometries thermal accuracy of
problematic.
properties. 0.02mm.
It is very useful
Poorly since various
machinable Large power No thermal Limited nozzle cutters and
materials may consumption damage. life. precise tools
be processes can be
machined.
Special
attachments
can be
Suitable for mounted on the
Little or no tool nonconductive machine to
wear brittle perform
materials. operations that
are performed
in other
machine tools.
Low capital
investment.

3.0 RECENT DEVELOPMENT TECHNIQUES OF ECM


Despite the investigation of effect of cutting condition or parameters on the results of
ECM, other efforts have been done to improve the diversification of ECM to cope with the latest
needs from the industry.
During ECM, hydrogen gas is generated in the form of gas bubble while some by-product will
also form at IEG. This will reduce the conductivity of electrolyte and affect the MRR (Fang et al.,
2017). Fang et al., (2017) have implemented large amplitude vibrations in wire ECM to encourage
the bubble removal and electrolyte renewal. Wire ECM is ECM that uses metallic wire as tool to
carry out machining. In this study, through simulations and experiments, the authors found out

23
Jurnal Tribologi 28 (2021) 20-31

that vibrating tool will help gas to escape. As result, a large-amplitude vibration of ribbed wire
electrode will encourage the bubble removal process and improve the MRR and matching
efficiency. WECM is a variant of ECM. It uses a metal wire as the tool cathode and removes material
by anodic electrochemical dissolution, and the part is formed with the relative motion between
the wire electrode and the workpiece. It has great advantages and well surface integrity such as
no dependence on mechanical properties of the material being machined, no tool wear, no
residual stress, no recast layers and heat-affected zones (Zeng et al., 2012). Hence, it is a potential
method for processing parts with ruled surfaces which is hard to machine like the fir-tree slots in
a turbine disc (Klocke et al., 2018a).
ECM concept of electrolysis was also utilized in tribology areas. Capitanu et al., (2019)
elaborated on the fretting of CoCrMo and Ti6Al4V alloys in modular prostheses, in which an in-
situ electrochemical ball on plate tribometer was instrumented to characterize tribocorrosion
damage due to the contact of the two material couplings. In addition, Mukhopadhyay et al., (2016)
investigate the tribological behavior of Ni-P-W coating under dry and lubricated condition with
the coating is deposited onto mild steel (AISI 1040) specimens by the electroless method using a
sodium hypophosphite based alkaline bath.
In WECM, the machining gap is usually tens of microns down to only a few microns, making it
very difficult to rapid remove electrolytic products entirely from such a small gap. Much research
has been conducted to improve the outcome of WECM on thick workpieces, and they can be
divided into two categories according to the electrolyte flow status. In the first category, the
workpiece is immersed in electrolyte, and the electrolyte in machining gap flows following the
electrode movement (Fang et al., 2017; Kalaimathi et al., 2017; Xianghe et al., 2017). The second
category is axial electrolyte flushing (Klocke et al., 2018 b). The electrolyte with a certain pressure
is ejected from the nozzle, and flows into the machining gap along the electrode, which brings the
electrolyte products out of the machining gap from top to bottom. High-speed flushing is the most
commonly used method to promote electrolyte renewal and replenishment.
Although the above methods do accelerate the electrolyte renewal and the products removal,
but the flow path is very long, meaning that fresh electrolyte has relatively to travel far to reach
the reaction area. Hence, research is carried out to create a relatively short flow path (Xu et al.,
2020). A pulsating radial electrolyte supply in WECM is proposed to improve the machining
capability for thick workpiece. The tool is a tube electrode with a line of micro-holes on cylindrical
surface. The processing of micro-holes in the tube electrode using a rotating helical electrode is is
shown in Figure 2. It was shown experimentally that using a tube electrode with holes of varying
diameters as a tool electrode provides better process capacity for pulsating radial electrolyte
supply in WECM.
Machining accuracy, efficiency, and quality in WECM are influenced by different electrolytic
factors, power factors, vibration amplitude and frequency of tool or workpiece, workpiece
thickness and feed rate of tool or workpiece. Amongst various tool materials, tungsten is most
widely used due to its high tensile strength and excellent chemical stability. Ribbed wire, textured
wire, helical tools, cutting edge tools, and fluted tools have been used for enhancing flushing in
WECM.
In 2019, Baoji et al., carried out a study on magnetic field-assisted ECM drilling. The ECM was
assisted with magnetic field that suppresses anodic dissolution and magnetic field that promotes
anodic dissolution. Results show that ECM localization was enhanced under magnetic field that
suppresses anodic dissolution while not benefited under magnetic field that promotes anodic
dissolution.

24
Jurnal Tribologi 28 (2021) 20-31

Figure 2: Schematic diagram of WECM process of processing of micro-holes in the tube electrode
using a rotating helical electrode (Xu et al., 2020).

A study was carried out by Ridha et al., (2015) to combine the use of magnetic abrasive
finishing (MAF) and ECM to decrease the machining time. Comparison of machining time between
conventional MAF and combination of MAF and ECM was done. As result, the combination of MAF
and ECM was able to achieve similar surface roughness as conventional MAF by using 60% to 70%
of time used by conventional MAF.
A study was done to implement the use of ultrasonic in jet-ECM to overcome the formation of
passivation layers (Clare & Mitchell-Smith, 2016). Jet-ECM is ECM with electrolyte injected to ease
the removal of removed material from the workpiece. During the ECM of certain material, such as
Titanium, passivation layers might form around the workpiece in the form of oxides. These layers
will suppress material removal and reduce surface finish of the workpiece. In this study,
ultrasonic was found to be able to reduce the formation of passivating layers by 23% at selected
frequency, and the Ra was reduced by 31%.

4.0 APPLICATION ECM AND RELATED PROCESSES


Typical application of ECM such as for producing hole (circular and non-circular)
production, profiling and contouring of components, engine casting features, turbine blade
shaping, dies for forging, gun barrel rifling, honeycomb structures and irregular shapes, and burr
free parts. This process allows for complex shapes to be obtained without distortion, cracks, burrs,
white layer, heat-affected zone or residual stress. This technique can also provide a long service
life of the non-existent electrode or tool wear (Mohan and Vinod, 2010), with high material
removal rate and good surface quality. In general, typical application of ECM are (Raj et al., 2019):
(a) Machining of cavities in forging dies, drilling deeper holes and irregular shaped holes
which cannot be obtained by conventional machining methods.
(b) Machining of complex profiles like turbine wheels, turbine and jet blades.
(c) Die sinking: Electro Chemical Machining is often used as an alternative to the cavity type
electric discharge machining (EDM).

25
Jurnal Tribologi 28 (2021) 20-31

(d) Fabrication of thin-walled parts: Electrochemical machining does not produce surface
stress in the work piece therefore even very brittle and easily deformed materials may be
machined in thin-walled shapes.
(e) Grinding of a work piece by a rotating wheel, which performs grinding operation through
an electrolyte. The wheel is conductive and catholically connected. Non-conductive hard
particles are set on the wheel surface. The particles provide a constant gap through which
an electrolyte is continuously fed. Hard and brittle materials are ground by the method.
(f) Rough corners or edges can be turned into very smooth parts and the process is known
as deburring.
Surface roughness values obtained ranging 0.2–12.5 µm Ra. Dependent on current density and
material being machined. According to De-Silva and Altena, (2002) the recovery of the gap
conditions during pulse-off times was enables with pulsed ECM which improved dissolution
efficiency. Resulted in smaller inter-electrode gaps (<150µm), without the· risk of electrolyte
boiling, therefore yield improved dimensional accuracy of the order of 0.05 mm. Furthermore,
they developed graphical models to visualize quickly the dimensional accuracy better than 5 µm
and surface finish better than 0.03µm Ra.
At present, WECM is still a lab-based study. However, more application-based research can be
carried out for the fabrication of critical components such as surgical blades, micro-pin-fin heat
exchangers, tooth implant screw threads, small crankshaft, etc. with low energy consumption,
high surface finish, and no surface defects (Sharma et al., 2020). As there is no burr formation in
electrochemical dissolution, WECM can be used to generate sharp cutting edges on surgical tools
(Figure 3). The process can also be used for generating periodic patterns on thin-walled tubes and
their selective thinning WECM can prove to be an inexpensive way of micro-turning as diamond-
tip tool inserts, generally used in micro turning, are relatively expensive. Another application of
WECM in turning can be in machining micro threads on dental implants (Figure 4). Since wire
with very small diameter can be used in the process, this process is suitable for internal finishing
of tubes with small internal diameter. The process can also be used for making internal gears and
internal fins for heat pipes. Electrostatic comb-drive actuators (Figure 5) used in micro-
electromechanical system (MEMS) can be machined using WECM to replace the conventional
lithography method which is time consuming.

Figure 3: Schematic diagram of preparing sharp cutting edge of surgical instruments (Sharma et
al., 2020).

26
Jurnal Tribologi 28 (2021) 20-31

Figure 4: Schematic diagram of micro threading on dental implants (Sharma et al., 2020).

Figure 5: Schematic diagram of machining of comb-drive actuator used in MEMS (Sharma et al.,
2020).

In addition to the above application, WECM is also used to remove the recast layer and reduce
the WEDM surface roughness, which was proposed by Wu et al., (2019). This method was called
as WEDCM.
According to Wu et al., (2019), two factors, which have a great influence on the surface
roughness, namely the feed rate of the wire electrode and the movement distance of the
workpiece, were analysed and found that the recast layer and craters on the WEDM surface can
be dissolved owing to the anodic dissolution of WECM, and the surface quality can be improved.
Study done by Zhu et al., (2020) found the roughness of the slit side wall is mainly determined by
secondary velocity. The roughness increases fast with secondary velocity and a smoother surface
can be obtained when the initial velocity is close to the secondary velocity. The best surface
roughness is 0.110 µm. Ra of between 0.1-0.4 µm were achieved of slit side walls using different
initial and secondary velocities of 50 and 50 µm·s−1, 50 and 500 µm·s−1, 25 and 50 µm·s−1, 10 and
50 µm·s−1.

27
Jurnal Tribologi 28 (2021) 20-31

Electro-chemical machining is also one of the techniques commonly applied for surface texture
fabrication (Mahayuddin et al. 2020). Benefit of surface texturing has been explained in detailed
by Ahmad et al. (2020) and Ab. Latiff et al. (2019).

5.0 APPLICATION OF FUZZY LOGIC (FL) IN ECM


According to Mohd Adnan et al., (2013), fuzzy logic (FL) is capable to converse, reason
and make rational decisions in an environment of imperfect information. FL involves fuzzifier
process, rules, membership function, and defuzzification. Fuzzier process is the process of
transforming fuzzy set data into suitable linguistic values by the definition of linguistic variables
the types of membership function (MF), which defines the way of input being mapped to a
membership value. Fuzzy rules are set of linguistic statements which establish the relationship
between the input and the output in a fuzzy system. Fuzzy rule is obtained based on experimental
work and knowledge. Defuzzification will be used to generate a non-fuzzy decision.
FL has been widely used in machining due to their similar features in input and output (Mohd
et al., 2013). FL is said to be able to implement in machining as the input of FL in machining can
be indicated as different types of machining parameter while output of FL can represent the
machining performance. FL has been used for various purpose in machining. Some researchers
have used FL to determine the output of machining (Balasubramanian et al., 2016; Hossain et al.,
2016; Mohamad et al., 2010). Besides, some of the researchers implemented FL into machining to
investigate the applicable of controlling the machining performance through FL (Sadegh, 2017;
Labib et al., 2011). There were also researchers tried to implement FL to obtain the optimum
machining parameters (Chakraborty et al., 2018; Teimouri & Sohrabpoor, 2013).
A study was done using the adaptive neuro-fuzzy inference systems (ANFIS) and the cuckoo
optimization algorithm (COA) to predict the influences of machining parameters in ECM and the
optimum parameters for certain MRR and Ra (Teimouri & Sohrabpoor, 2013). ANFIS is a hybrid
predictive approach that uses both meanings of neural network and fuzzy logic for modeling
complex processes in which many inputs are contributed, and the amount of experimental data
are small. According to the authors, the results obtained had a high prediction accuracy.
Optimization of ECM was also done using ANFIS, COA, and principal component analysis (PCA)
(Sohrabpoor et al., 2016). ANFIS was used to construct the objective function while PCA was used
to determine the weight factor of the objective function. COA was then being used to perform the
multi-objective optimization.
A study was done for optimization of ECM process parameter using hybrid fuzzy-Artificial Bee
Colony algorithm (Fuzzy-ABC) (Solaiyappana et al., 2014). In this study, fuzzy logic was integrated
with artificial bee colony algorithm (ABC) to predict the optimum parameters that satisfy the real
requirement of ECM. ABC is implemented by converting the considered optimization problem to
the problem of finding the best parameter vector that will minimize an objective function. Then,
the algorithm randomly discovers a population of initial solution vectors and then iteratively
improve them by moving towards better solutions by means of a neighbor search mechanism
while abandoning poor solutions. When compared with other algorithm, ABC is a new
evolutionary computational technique that provides better results.
In 2018, a study was done to integrate Grey Relational Analysis (GRA) with FL for parametric
optimization (Chakraborty et al., 2018). In this study, the authors had integrated GRA with FL to
determine the optimal parametric combinations of abrasive water-jet machining, ultrasonic
machining, and ECM. GRA is potential to deal with incomplete and uncertain data. In GRA, the

28
Jurnal Tribologi 28 (2021) 20-31

uncertain relations between one main factor and all other factors in a system are analyzed. It
measures the absolute value of the data difference between sequences and can predict the
approximate grade of correlation between the sequences. When there is lacking data, it helps to
compensate for the shortcomings in statistical regression.

6.0 CONCLUSION
The working principle and application of ECM and related processes are presented.
Complicated shapes parts with high material removal rate and good surface quality can be
achieved using ECM process. The development of a new technology WECM is the process for the
future. It is a promising technique for micromachining for fabrication of critical components with
the thermal and mechanical properties of parent material is not altered after the machining
process. In the recent development, WECM is used for the machining of cylindrical workpieces
which suitable for turning a very thin-walled tubes, which is difficult to perform using a
conventional machining method. The ECM performance can be improved by combining with other
processes such as MAF and Jet-ECM. The recent developments of FL by integrating different
algorithm into FL also show a promising future of ECM as most of the results are accurate and
reliable after being tested.

ACKNOWLEDGEMENT
This study is supported by the Government of Malaysia under
FRGS/1/2019/TK03/UKM/01/2 Grant and laboratory facility at the Universiti Kebangsaan
Malaysia (UKM).

REFERENCES
Ab. Latif, N., Kasolang, S., Ahmad, M.A., Abu Bakar, M. A. A. (2019). Influence of lubricant factors
on static coefficient of friction for Pistia leaves surfaces and micro fiber fabrics. Jurnal Tribologi
23, 1-12.
Ahmad, N. A., Samion, S., Abd Rahim, E. & Mohd Jamir, M. R. (2020). Environmentally approach for
enhancing tribological characteristics in metal forming: A review. Jurnal Tribologi 26, 37-59.
Anonymous. (2020). Mechanical Technical Solutions, Download 4th August 2020,
https://www.mechanicatech.com/NTMachining/ecm.html.
Balasubramanian, K., Sultan, M. T. H., Cardona, F., & Rajeswari, N. (2016). Machining analysis of
natural fibre reinforced composites using fuzzy logic. In IOP Conference Series: Materials
Science and Engineering (Vol. 152, No. 1, p. 012051). IOP Publishing.
Baoji, M., Cheng, P., Yun, K., & Yin, P. (2019). Effect of magnetic field on the electrochemical
machining localization. The International Journal of Advanced Manufacturing
Technology, 102(1), 949-956.
Capitanu, L., Badita, L. L., Tiganesteanu, C., & Florescu, V. (2019). The wear of the taper junction of
the stem trunnion with the femoral head of a total modular hip prosthesis. Jurnal Tribologi, 23,
61-75.
Chakraborty, S., Das, P. P. & Kumar, V. (2018). Application of grey-fuzzy logic technique for
parametric optimization of non-traditional machining processes. Grey Systems: Theory and
Application 8(1): 46–68.

29
Jurnal Tribologi 28 (2021) 20-31

Clare, A. T. & Mitchell-Smith, J. (2016). ElectroChemical Jet Machining of Titanium : Overcoming


Passivation Layers with Ultrasonic Assistance. Procedia CIRP 42(Isem Xviii): 379–383.
Das, P. P. & Chakraborty, S. (2020). Parametric Optimization of Electrochemical Machining
Process Using Taguchi Method and Super Ranking Concept While Machining on Inconel 825.
Advanced Engineering Optimization Through Intelligent Techniques, Springer Singapore.
De Silva, A.K.M. & Altena, H.S.J. (2002). Accuracy Improvements in ECM by Prediction and Control
of the Localisation Effects. International Journal of Electrical Machining, 7: 25-30.
Fang, X. L., Zou, X. H., Chen, M. & Zhu, D. (2017). Study on wire electrochemical machining assisted
with large-amplitude vibrations of ribbed wire electrodes. CIRP Annals - Manufacturing
Technology 5–8.
Hossain, A., Hossain, A., Nukman, Y., Hassan, M. A., Harizam, M. Z., Sifullah, A. M. & Parandoush, P.
(2016). A Fuzzy Logic-Based Prediction Model for Kerf Width in Laser Beam Machining.
Materials and Manufacturing Processes 31(5): 679–684.
Kalaimathi, M., Venkatachalam, G., Sivakumar, M. & Ayyappan, S. (2017). Experimental
investigation on the suitability of ozonated electrolyte in travelling-wire electrochemical
machining. Journal of the Brazilian Society of Mechanical Sciences and Engineering 39(11):
4589–4599.
Klocke, F., Herrig, T. & Klink, A. (2018a). Evaluation of wire electrochemical machining with
rotating electrode for the manufacture of fir tree slots. Proceedings of the ASME Turbo Expo,
hlm. Vol. 6. American Society of Mechanical Engineers (ASME).
Klocke, Fritz, Bergs, T., Doebbeler, B., Binder, M. & Seimann, M. (2018b). Multi-Criteria Assessment
of Machining Processes for Turbine Disc Slotting. Journal of Manufacturing and Materials
Processing 2(2): 32.
Labib, A. W., Keasberry, V. J., Atkinson, J. & Frost, H. W. (2011). Towards next generation
electrochemical machining controllers: A fuzzy logic control approach to ECM. Expert Systems
with Applications 38(6): 7486–7493.
Lohrengel, M. M., Rataj, K. P. & Münninghoff, T. (2015). Electrochemical Machining—mechanisms
of anodic dissolution. Electrochimica Acta.
Mahayuddin, N. A. H. M., Wahab, J. A., Mohd Salleh, M. A. A., Roduan, S. F. & Chen, H. K. (2020).
Surface texturing method and roughness effect on the substrate performance: A short review.
Jurnal Tribologi 27, 8-18.
Mohd Adnan, M. R. H., Sarkheyli, A., Mohd Zain, A. & Haron, H. (2013). Fuzzy logic for modeling
machining process: a review. Artificial Intelligence Review 43(3): 345–379.
Mukhopadhyay, A., Duari, S., Barman, S.K., & Sahoo, P. (2016). Optimization of wear behavior of
electroless Ni-P-W coating under dry and lubricated conditions using genetic algorithm (GA).
Jurnal Tribologi 11, 24-48.
Raj, M.R., Adiga, B. K.S., Prateek, P., & Nanjundeswaraswamy, T.S. (2019). Electro-Chemical
Machining. International Research Journal of Innovations in Engineering and Technology
(IRJIET) 3(11): 40-47.
Ridha, M. M., Yanhua, Z. & Hitoshi, S. (2015). Development of a New Internal Finishing of Tube by
Magnetic Abrasive Finishing Process Combined with Electrochemical Machining.
International Journal of Mechanical Engineering and Applications 3(2): 22–29.
Sadegh Amalnik, M. (2017). Controlling Electrochemical Machining By Using a Fuzzy Logic
Approach. Journal of Modern Processes in Manufacturing and Production, 6(2), 61-71.

30
Jurnal Tribologi 28 (2021) 20-31

Sathiyamoorthy, V., Sekar, T., Elango, N. (2015). Optimization of Processing Parameters in ECM of
Die Tool Steel Using Nanofluid by Multiobjective Genetic Algorithm, Volume 2015, Article ID
895696.
Schubert, N., Schneider, M., Michaelis, A., Manko, M. & Lohrengel, M. M. (2017). Electrochemical
machining of tungsten carbide. Journal of Solid State Electrochemistry.
Sharma, V., Patel, D. S., Jain, V. K. & Ramkumar, J. (2020). Wire electrochemical micromachining:
An overview. International Journal of Machine Tools and Manufacture 103579.
Sohrabpoor, H., Khanghah, S. P., Shahraki, S. & Teimouri, R. (2016). Multi-objective optimization
of electrochemical machining process. International Journal of Advanced Manufacturing
Technology 82(9–12): 1683–1692.
Teimouri, R. & Sohrabpoor, H. (2013). Application of adaptive neuro-fuzzy inference system and
cuckoo optimization algorithm for analyzing electro chemical machining process. Frontiers of
Mechanical Engineering 8(4): 429–442.
Todd, H. R., Allen, K. D., Alting, L. (1994), Manufacturing Processes Reference Guide (1st ed.),
Industrial Press Inc., pp. 198–199, ISBN 0-8311-3049-0.
Valenti, M., Making the Cut. Mechanical Engineering, American Society of Mechanical Engineers.
(2001).
http://www.memagazine.org/backissues/membersonly/nov01/features/makcut/makcut.ht
ml Archived 2010-07-05 at the Wayback Machine accessed 2/23/2010
Wu, X., Li, S. & Zhao, W. (2019a). Experiment investigation of using wire electrochemical
machining in deionized water to reduce the wire electrical discharge machining surface
roughness. Int J Adv Manuf Technol 102, 343–353.
Wu, X., Li, S., Xin, J.B. &Yin, X. (2019b). Using WECM to remove the recast layer and reduce the
surface roughness of WEDM surface. Journal of Materials Processing Technology 268:140-148.
Xianghe, Z., Xiaolong, F., Yongbin, Z. & Di, Z. (2017). A high efficiency approach for wire
electrochemical micromachining using cutting edge tools. International Journal of Advanced
Manufacturing Technology 91(9–12): 3943–3952.
Xu, C., Fang, X., Han, Z. & Zhu, D. (2020). Wire electrochemical machining with pulsating radial
electrolyte supply and preparation of its tube electrode with micro-holes. Applied Sciences
(Switzerland) 10(1).
Xu, Z. & Wang, Y. (2019). Electrochemical machining of complex components of aero-engines:
Developments, trends, and technological advances. Chinese Journal of Aeronautics.
Xu, Z., Chen, X., Zhou, Z., Qin, P. & Zhu, D. (2016). Electrochemical machining of high-temperature
titanium alloy Ti60. Procedia CIRP 42(Isem Xviii): 125–130.
Zeng, Y. Bin, Yu, Q., Wang, S. H. & Zhu, D. (2012). Enhancement of mass transport in micro wire
electrochemical machining. CIRP Annals - Manufacturing Technology 61(1): 195–198.
Zhu, J., Fang, X. & Qu, N. (2020). Micro-Slit Cutting in an Aluminum Foil Using an Un-Traveling
Tungsten Wire. Appl. Sci. 10, 665.

31

You might also like