Process Optimization of Electric Discharge Machining Using Response Surface Methodology

2015 ◽  
Vol 813-814 ◽  
pp. 393-397
Author(s):  
Rajinder Kumar ◽  
Neel Kanth Grover ◽  
Amandeep Singh
Keyword(s):  
Response Surface Methodology ◽  
Wear Rate ◽  
Tool Wear ◽  
Response Surface ◽  
Electric Discharge ◽  
Material Removal ◽  
Machining Process ◽  
Work Piece ◽  
Tool Wear Rate ◽  
Electric Discharge Machining

Electric Discharge Machining (EDM) is one of the most commonly used non-traditional machining processes. Complex geometries can be easily manufactured using EDM. Material removal is achieved by producing continuous spark occurring between well shaped tool electrode and work piece. EDM does not involve direct contact of tool and work piece. Machining process involves a number of input variables like, current, voltage, pulse on/off which in turn affect the machining efficiency of EDM. These process parameters must be optimized to attain high material removal rate and low tool wear rate. The present paper presents theoptimization of tool wear rate of copper and brass electrode on machining of EN-47 using Response Surface Methodology (RSM).

scholarly journals Machine Ability Characteristics of PWEDM Process

2019 ◽  
Vol 9 (1) ◽  
pp. 3580-3583
Keyword(s):  
Surface Roughness ◽  
Wear Rate ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Electrical Discharge Machine ◽  
Machining Process ◽  
Work Piece ◽  
Tool Wear Rate

The traditional machining consists of a specific contact between the tool and work piece. As a result of this contact the tool may wear out after a few operations. In addition to that, the MRR (Material Removal Rate), Surface Finish, etc. is also lowered. As a result of these drawbacks, traditional or conventional machining processes cannot be used to machine ceramic based alloys and thus we opt for unconventional machining process. The Electrical Discharge Machine contains of two spaces one is Electrode and other is Work piece. In this concept the among the tool wear rate is moderate and the surface roughness is to be poor. The tool cost is so high. Hence continuously tool modification is not possible. So in the work main objective of the problem is reduced the tool wear rate and increase the MRR. (Material removal rate). So in the case we are consider in the surface roughness. The surface roughness is to be high is the taken in industrial application. So we have focus with surface roughness. These are the considering with in our problems. In our aim is reducing the toll wear and improve the Material Remove rate. In order to addition of graphite in Electrolyte. When added the electrolyte in Graphite the Toll wear rate decrease and increase a material Removal Rate. Finally we have disc the DOE process

scholarly journals Optimization of Machining Variables in Electric Discharge Machining Using Stainless Steel 317 in Full Factorial Method

2020 ◽  
Vol 22 (1) ◽  
pp. 105-118 ◽  
Author(s):  
S. Nandhakumar ◽  
S. Sathish Kumar ◽  
K. Sakthivelu
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Electric Discharge ◽  
Metal Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Tool Wear Rate ◽  
Electric Discharge Machining ◽  
Machining Time ◽  
Input Variables

AbstractElectric Discharge Machining (EDM) is a non-conventional machining process and has a larger extent of application in manufacturing industry due to its accuracy. EDM simply uses electrical spark between the tool and workpiece in presence of dielectric medium to erode the workpiece in controlled manner. Improving the material removal rate and decreasing the tool wear rate (TWR), achieving higher surface finish, reducing machining time and enhancing dimensional accuracy are the major areas of focus in electrical discharge machining (EDM) process of SS 317 grade steel. In this research work effort to reduce the tool wear rate is concentrated by comparing the machining performance of two distinct electrodes namely copper and brass. Each electrode has their unique machining capabilities and the experimental results were compared in-terms of tool wear rate (TWR), Metal Removal Rate (MRR) and Machining Time (TM). Input variables were optimized based on the experimental output responses to achieve optimal level of input variables.

scholarly journals Effect of deep cryogenic treatment on copper electrode for non-traditional electric discharge machining (EDM)

2019 ◽  
Vol 10 (2) ◽  
pp. 413-427
Author(s):  
Gurdev Singh Grewal ◽  
Dhiraj Parkash Dhiman
Keyword(s):  
Surface Roughness ◽  
Wear Rate ◽  
Tool Wear ◽  
Electric Discharge ◽  
Copper Electrode ◽  
Machining Process ◽  
Tool Wear Rate ◽  
Electric Discharge Machining ◽  
Electrode Rotation ◽  
Input Parameters

Abstract. In the last few decades, non-traditional machining made the machining process easier than the traditional machining method. Electric discharge machining (EDM) is one of the most prominent methods of non-traditional machining processes. By the use of EDM, a complex profile and high hardness materials can be easily machined, which cannot easily be machined by the traditional machining method. EDM is widely used by the industries. This paper investigates an experiment with the cryogenically treated copper electrode and an ordinary copper electrode with various input parameters like the electrode rotation, gap voltage and discharge current for an EN24 (a high-strength and wear-resistant steel) material. An experiment was performed with electric discharge machining. Designs of an experiment are carried out using the Taguchi approach. An orthogonal L16 array prepared and used the different combination of the three input parameters (current, electrode rotation and gap voltage) to find an optimum value of the factors. The output factors are the overcut (OC), the tool wear rate (TWR) and surface roughness (Ra). The optimal level and importance levels of each of these parameters are obtained statically using an analysis-of-variance (ANOVA) table through the analysis of the S∕N ratio. The study also compares the theoretical and experimental values of the overcut, tool wear rate and surface roughness for traditional and non-traditional EDM. The following research finds optimal or dominating factors (current and rotational speed) for the TWR and Ra in both traditional and non-traditional electric discharge machining; moreover there was a reduction of approximately 9 % in overcut, 13.25 % in the tool wear rate and 15.75 % in surface roughness for the deep cryogenic and non-traditional machining process.

Machinability Study of Beryllium Copper by Powder Mixed Electric Discharge Machining

2015 ◽  
Vol 787 ◽  
pp. 376-380 ◽  
Author(s):  
Shivraj Bagane ◽  
Vijaykumar S. Jatti ◽  
T.P. Singh
Keyword(s):  
Wear Rate ◽  
Tool Wear ◽  
Electric Discharge ◽  
Work Piece ◽  
Tool Wear Rate ◽  
Electric Discharge Machining ◽  
Beryllium Copper ◽  
Powder Concentration ◽  
Pulse On Time ◽  
Pulse Off Time

To Acompany the novel technology advancement demands for advance materials. Beryllium copper is such solitary material which has conspicuous material properties, to be pricise good wear resistance, corrosion resistance and high fatigue strength. But the concern with this is machining by treditional machining processes. To defeat this problem Powder Mixed Electric Discharge Machining(PMEDM) is a surrogate technology, which is acquiring much importance in machining such materials. As compared to convenctional electric discharge machining the powder mixed electric discharge machining has delivered much efficiency because of the addition of fine powder particles in dielectric media. It increases the steadiness and concentrated sparking on the work piece material. This study aims at machining beryllium copper alloys using powder mixed electric discharge machining. The electric parameters namely pulse on time, pulse off time, and gap voltage are retained constant throughout the experimentation. Copper electrode of 3 mm square tip was used for machining of beryllium copper work piece. Gap current is varied as 8 A, 10 A, 12 A and 14 A whereas powder concentration is varied as 2 gm/litre, 4 gm/litre and 6 gm/litre. Material removal rate (MRR) and tool wear rate (TWR) were considered as electric discharge machining output measures for the study. It was observed that the efficiency of powder mixed electric discharge machining improved by using powder mixed dielectric. It was found that the MRR improves as the gap current is increased by the increament of 2A. One more obeservation found was the improvement in the both MRR and TWR with the increase in the powder concentration . Tool wear rate increases due to the truth that as the depth of machining increases the efficiency of flushing reduces hence leading to higher tool wear rate.

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