scholarly journals Experimental Analysis and Optimization of EDM Process Parameters

Author(s):  
P.R. Dewan ◽  
L.P. Lepcha ◽  
Avidan N Khaling ◽  
N Prasad ◽  
S Rai
2015 ◽  
Vol 772 ◽  
pp. 245-249
Author(s):  
A. Ramamurthy ◽  
R. Sivaramakrishnan ◽  
S. Venugopal ◽  
T. Muthuramalingam

It is very important and complexity to find the optimum values of wire EDM process parameters and contribution of each parameter to attain the better performance characteristics. In this study, an attempt has been made to optimize those parameters while machining the titanium alloy. Since the process involves more one than one response parameter, it is essential to carry out the multi-response optimization methodology .The experiments have been conducted with different levels of input factors such as pulse on time,pulse off time and wire tension based on Taguchi L9 orthogonal table.Wire EDM optimal process parameter has been identified using grey relational analysis and significant parameter has been determined by analysis of variance. Experimental results have indicated that the multi-response characteristic such as material removal rate and surface roughness can be improved effectively through grey relational analysis.


Manufacturing ◽  
2003 ◽  
Author(s):  
Scott F. Miller ◽  
Albert J. Shih

The development of new, advanced engineering materials and the needs for precise and flexible prototype and low-volume production have made wire electrical discharge machining (EDM) an important manufacturing process to meet such demand. This research investigates the effect of spark on-time duration and spark on-time ratio, two important EDM process parameters, on the material removal rate (MRR) and surface integrity of four types of advanced material: porous metal foams, metal bond diamond grinding wheels, sintered Nd-Fe-B magnets, and carbon-carbon bipolar plates. An experimental procedure was developed. During the wire EDM, five types of constraints on the MRR due to short circuit, wire breakage, machine slide speed limit, and spark on-time upper and lower limits have been identified. An envelope of feasible EDM process parameters is created and compared across different work-materials. Applications of such process envelope to select process parameters for maximum MRR and for machining of micro features are presented.


2018 ◽  
Vol 7 (2.8) ◽  
pp. 10
Author(s):  
A VS Ram Prasad ◽  
Koona Ramji ◽  
B Raghu Kumar

Machining of Titanium alloys is difficult due to their chemical and physical properties namely excellent strength, chemical reactivity and low thermal conductivity. Traditional machining of such materials leads to formation of continuous chips and tool bits are subjected to chatter which leads to formation of poor surface on machined surface. In this study, Wire-EDM one of the most popular unconventional machining process which was used to machine such difficult-to-cut materials. Effect of Wire-EDM process parameters namely peak current, pulse-on- time, pulse-off-time, servo voltage on MRRand SR was investigated by Taguchi method. 0.25 mm brass wire was used in this process as electrode material. A surface roughness tester (Surftest 301) was used to measure surface roughness value of the machined work surface. A multi-response optimization technique was then utilized to optimize Wire-EDM process parameters for achieving maximum MRR and minimum SR simultaneously.


2019 ◽  
Vol 9 (02) ◽  
pp. 69-73
Author(s):  
Yuliyanto Yuliyanto

This study looked at the effect of severed EDM process parameters on the optimum value of titanium alloy hardness. this study uses Design Expert 9.0 software to help develop an experimental plan of response surface method models and CCD. The machine used is Hitachi Electrical Discharge Machining (EDM) brand with Series H-DS02-S. Material used titanium 6Al-4V. Electrode used copper (Cu). The process parameters used are Current (A), On time (μs) and Off time (μs). Coolant fluid using Hydroseal 63H. The results of data processing there are 20 experiments. This research shows optimum machining condition for hardness (HV) is 322. Analysis of variance (Anova) shows the value of F arithmetic is 3,94, MSE is 0,022 and p (0,0794). The increase of current and on-time values ​​gives a great influence on surface roughness. The increase of Off time value does not give significant effect to the roughness. The next research will be done with 5 (five) process parameters, Current, On time, Off time, Machining Voltage and Servo feed.


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