Study Material Engineering

1. GOVERNMENT COLLEGE OF ENGINEERING KARAD
(An autonomous institute of Gov. of Maharashtra)
A
Seminar on
Optimization of process variables of wire-cut electric
discharge machining of super alloy Udimet-L605
Guided by : Prof. V. S. Jadhav
Presented by : Mr. Bhushan J. Sarise
Registration No. : 18241208
DEPARTMENT OF PRODUCTION ENGINEERING
2019-20

2. CONTENTS
1. INTRODUCTION
2. LITERATURE REVIEW
3. SUPPER ALLOY UDIMET-L605
4. EXPERIMENTAL METHOD AND DESIGN
5. RESPONSE PARAMETER
6. TAGUCHI METHOD
7. VECTOR MACHINE ALGORITHM
8. CONCLUSION
9. REFERENCES

3. INTRODUCTION
Wire electrical discharge machining (WEDM), also known as
wire-cut EDM is a process of using a thin single-strand of metal wire fed through a
workpiece.
Wire Electrical Discharge Machining (WEDM) is an indispensable
nontraditional machining process, capable of producing complex two and three-
dimensional shapes with good accuracy.
A thin wire of brass, tungsten or copper is used as an electrode.
Deionized water is used as the dielectric.

4. LITERATURE REVIEW
Sr. No. Authors Nature of work Configuration
parameter
Observation/
Conclusion
1. Somvir Singh
Nain
Experimental Udimet-L605 pulse-on time,
interaction between
pulse-on time pulse-
off time, spark-gap
voltage, surface
roughness, pulse-on
time, spark-gap
voltage an pulse-off
time ,material
2. Ashish Goyal Experimental Inconel 625
machining was done
by using normal zinc
coated wire and
cryogenic treated
zinc coated wire
Ton, Toff, WF)
increase material
removal rate,
maximum surface
roughness
3. Sharanjit Singh Experimental Dielectric
fluid,powder.
Presence of metal
partials in dielectric
fluid diverts its
properties, which
reduces the insulating
strength of the
dielectric fluid and
increases the spark gap
between the tool and
work piece.

5. super alloy Udimet-L605
Composition Value Wt. (%)
Cobalt 53.2
Chromium 19
Tungsten 14.4
Nickel 8.44
Manganese 1.20
Iron 8.44
Copper 0.46

6. Experimental method and Deisgn
The experiments were accomplished on the Electronica sprint- cut (Electra-
Elplus 40A DLX) CNC wire-electric discharge machining.
Six input parameters
 pulse-on time (Ton)
 peak current (IP),
 pulse-off time (Toff),
 wire-feed rate (WF),
 wire-tension
 spark gap

7. Response parameter
1. Material removal rate (MRR)
The material removal rate (MRR) of the work piece is the amount of the material
removed per minute.
2. Surface roughness (SR)
Surface roughness is one of the most important response in WEDM machining
processes.
Surface roughness usually expressed in μm.

8. Experimental work was intended on the basis of Taguchi method of design of
experimentation by means of a L27 orthogonal array.

9. Support vector machine algorithms
The WEKA mining software is used for support vector machine modeling of
WEDM process.
It is the collection of numbers of machine learning algorithm, one of them is
the
support vector machine learning algorithm.
It is the classification and regression algorithms. Support vector machine
performs structural risk minimization.
The selected plane which leaves the largest perimeter amid two classes is
called as hyper-plane where the perimeter is known as the summation of the
space amid hyperplane.

10. Conclusion
In the first segment, the single optimization for MRR and SR will be
succeeded using Taguchi technique.
In addition to this, an investigation concerning the influence of process
variables upon the SR and MRR will be made.
The second segment demonstrates that the multi-response characteristics
will be optimized using grey relation analysis and obtained the optimum
value of MRR.

11. REFERENCES
1. B.V. Dharmendra, Shyam Prasad Kodali. A simple and reliable Taguchi approach for
multi-objective optimization to identify optimal process parameters in nano-powder-
mixed electrical discharge machining of INCONEL800 with copper electrode. The
Authors Published by ElsevierLtd.2019.
2. Sharanjit Singh and Arvind Bhardwaj. Review to EDM by Using Water and Powder-
Mixed Dielectric Fluid. Journal of Minerals & Materials Characterization & Engineering,
Vol. 10, No.2, pp.199-230, 2011.
3. F. KlockeaL, Welschofa. Model-based Productivity Analysis of Wire EDM for the
Manufacturing of Titanium. Machine Tools and Production Engineering (WZL) of
RWTH Aachen University, Campus Boulevard 30,520.
4. Ashish Goyal.Investigation of material removal rate and surface roughness during wire
electrical discharge machining (WEDM) of Inconel 625 super alloy by cryogenic treated
tool electrode. Journal of King Saud University – Science 29 (2017) 528–535.
5. Somvir Singh Nain, Dixit Garg,” Modeling and optimization of process variables of wire-
cut electric discharge machining of super alloy Udimet-L605. Engineering Science and
Technology, an International Journal 20 (2017) 247–264.
6. Bijaya Bijeta Nayak, Siba Sankar Mahapatra. Optimization of WEDM process
parameters using deep cryo-treated Inconel 718 as work material. Engineering Science
and Technology, an International Journal 19 (2016)161–170

12. 7. Bibhuti Bhusan Biswal. Machinability analysis of Inconel 601, 625, 718 and 825 during
electro-discharge machining: On evaluation of optimal parameters setting.Department
of Industrial Design, National Institute of Technology, Rourkela 769008, Odisha, India.
The Authors Published byElsevier Ltd.2019.
8. Fatih Uzun, Alexander M. Korsunsky. On the application of principles of artificial
intelligence for eigenstrain reconstruction of volumetric residual stresses in non-
uniform Inconel alloy 740H weldments. The AuthorsPublished by Elsevier Ltd.2019
REFERENCES