Analysis of the Influence of EDM Parameters on Surface Quality, Material Removal Rate and Electrode Wear of Tungsten Carbide
Electrical discharge machining (EDM) is a process for shaping hard metals and forming deep complex shaped holes by arc erosion in all kinds of electro-conductive materials. The objective of this paper is to study the influence of operating parameters of tungsten carbide on the machining char...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/1735/ http://umpir.ump.edu.my/id/eprint/1735/1/Analysis_of_the_Influence_of_EDM_Parameters_on.pdf |
| Summary: | Electrical discharge machining (EDM) is a process for
shaping hard metals and forming deep complex shaped holes by
arc erosion in all kinds of electro-conductive materials. The
objective of this paper is to study the influence of operating
parameters of tungsten carbide on the machining characteristics
such as surface quality, material removal rate and electrode
wear. It is followed by optimizing the machining condition for
confirmation test purposes. Then, the conformation test needed
to evaluate the error margin between predicted result by
software and confirmation result by experiment in terms of the
machining characteristics. The effectiveness of EDM process
with tungsten carbide, WC-Co is evaluated in terms of the
material removal rate, the relative wear ratio and the surface
finish quality of the workpiece produced. It is observed that
copper tungsten is most suitable for use as the tool electrode in
EDM of WC-Co. Better machining performance is obtained
generally with the electrode as the cathode and the workpiece as
an anode. In this paper, a study was carried out on the influence
of the parameters such peak currrent, power supply voltage,
pulse on time and pulse off time. The surface quality that was
investigated in this experiment was surface roughness using
perthometer machine. Material removal rate (MRR) and
electrode wear (EW) in this experiment was calculated by using
mathematical method. The result of the experiment then was
collected and analyzed using STATISTICA software. This was
done by using the design of experiments (DOE) technique and
ANOVA analysis. |
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