The effect of machining parameters on tool electrode edge wear and machining performance in Electric Discharge Machining (EDM)

2002 ◽  
Vol 16 (1) ◽  
pp. 46-59 ◽  
Author(s):  
Can çogun ◽  
S. Akaslan
Keyword(s):  
Electric Discharge ◽  
Tool Electrode ◽  
Machining Parameters ◽  
Machining Performance ◽  
Electric Discharge Machining ◽  
Edge Wear ◽  
Electrode Edge

scholarly journals Modeling and Optimization of Electric Discharge Machining Performances using Harmony Search Algorithm

2019 ◽  
Vol 18 (3-2) ◽  
pp. 56-61
Author(s):  
Ashanira Mat Deris ◽  
Azlan Mohd Zain ◽  
Roselina Sallehuddin ◽  
Safian Sharif
Keyword(s):  
Electric Discharge ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Machining Parameters ◽  
Machining Performance ◽  
Machining Processes ◽  
Electric Discharge Machining ◽  
Optimal Point ◽  
Pulse On Time

Electric Discharge Machining (EDM) is one of the widely used non-conventional machining processes for complex and difficult-to-machine materials. EDM technology has been improve significantly and has been developed in many ideas especially in the manufacturing industries that yielded enormous benefits in economic as well as generating keen interest in research area. A major issue in EDM process is how to obtain accurate results of the machining performance measurement value at optimal point of cutting conditions. Thus, this study proposed harmony search algorithm approach for optimization of surface roughness (Ra) in die sinking electric discharge machining (EDM). The mathematical model was developed using regression analysis based on four machining parameters which are pulse on time, peak current, servo voltage and servo speed. The result shows that the optimal solutions for Ra can be found with the minimum values of 1.3031 µm.

Multi-Objective Optimization of Die-Sinking Electric Discharge Machining

2011 ◽  
Vol 110-116 ◽  
pp. 1817-1824 ◽  
Author(s):  
Pushpendra S. Bharti ◽  
S. Maheshwari ◽  
C. Sharma
Keyword(s):  
Electric Discharge ◽  
Removal Rate ◽  
High Surface ◽  
Optimization Techniques ◽  
Work Piece ◽  
Tool Electrode ◽  
Machining Parameters ◽  
Multi Objective Optimization ◽  
Electric Discharge Machining ◽  
Multi Objective

— Parametric optimization of electric discharge machining (EDM) is a challenging task. Many researchers have employed different multi-objective optimization techniques for the same. This work employs multi-response signal-to-noise (MRSN) technique to find the optimum factor/level combination of input parameters. Experiments have been conducted on die-sinking EDM by taking heat treated D2 steel as work piece and copper as tool electrode. Experiments have been designed as per Taguchi’s L36 orthogonal array. Two cases v.i.z. high cutting efficiency and high surface finish have been taken. Analysis of variance (ANOVA) is employed to indicate the level of significance of machining parameters in both the cases. Finally, results have been verified experimentally and a significant improvement in material removal rate and surface roughness is observed.

Effect of the Surfactant Concentration on Sinking Electric Discharge Machining Performance with Water-in-Oil Emulsion as Dielectric

2011 ◽  
Vol 189-193 ◽  
pp. 3153-3157
Author(s):  
Yan Zhen Zhang ◽  
Yong Hong Liu ◽  
Ren Jie Ji ◽  
Bao Ping Cai
Keyword(s):  
Physical Properties ◽  
Electric Discharge ◽  
Surfactant Concentration ◽  
Emulsion Stability ◽  
Experimental Results ◽  
Machining Performance ◽  
Electric Discharge Machining ◽  
Oil Emulsion ◽  
The Stability ◽  
Water In Oil Emulsion

In this paper, the EDM performance of water-in-oil (W/O) emulsions dielectric with different surfactant concentration is investigated by correlated to its physical properties, such as viscosity and droplets size, which is predominantly determined by the surfactant concentration. Experimental results show that the stability of the W/O emulsions increases with increasing surfactant concentration, whereas the EDM performance deteriorates with increasing surfactant concentration. So, taking a comprehensively consideration of the emulsion stability and EDM performance, the concentration of surfactant must be appropriately selected.

Prediction of optimum electric discharge machining parameters for AA7075-SiC composites

2020 ◽  
Vol 27 ◽  
pp. 1192-1196
Author(s):  
S. Sakthivelu ◽  
P.P. Sethusundaram ◽  
M. Meignanamoorthy ◽  
S. Dinesh Kumar ◽  
C. Chanakyan ◽  
...  
Keyword(s):  
Electric Discharge ◽  
Machining Parameters ◽  
Electric Discharge Machining ◽  
Sic Composites
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