scholarly journals Study of Machine Characteristics During Rotary EDM Machining using Tools Made of Aluminium Alloy 6061

Author(s):  
M. Ramdas ◽  
J. S. Soni ◽  
B. Balunaik

Electro discharge machining (EDM) is an unconventional machining process that uses spark energy to remove material from the workpiece. EDM process is extensively being used in die/mould making industries, automobile industry, aerospace industry etc. for generating complex and intricate shape on hard material. Numbers of research works have been carried out using EDM process in order to improve the performance. Further, different variant of EDM process like dry EDM, orbital EDM, powder mixed EDM, ultrasonic assisted EDM and rotary EDM etc. have also been studied. Rotary EDM process is very promising process that helps to improve surface finish, overcut as well as out of roundness. In the present paper, a extensive review has been presented on rotary EDM process. Significance of several input parameters has been observed on output characteristics like overcut and out of roundness.

Author(s):  
R. Rajeswari ◽  
M.S. Shunmugam

Electro-discharge machining (EDM) is widely used in industries for machining complex shapes and difficult-to-machine materials that are conductive. In the present work, performance of conventional die-sinking EDM process is compared with powder mixed and ultrasonic assisted processes in machining of D3 steel. Using different sets of parameters for rough and finish ED machining, material removal rate and surface roughness are obtained experimentally. The influences of the parameters on material removal rate and surface roughness are presented on the basis of phenomenological reasoning. The results are discussed and suitable recommendations for the practitioners are included.


Author(s):  
J-B Li ◽  
K Jiang ◽  
G J Davies

A novel die-sinking micro-electro discharge machining (EDM) process is presented for volume fabrication of metallic microcomponents. In the process, a high-precision silicon electrode is fabricated using deep reactive ion etching (DRIE) process of microelectromechanical systems (MEMS) technology and then coated with a thin layer of copper to increase the conductivity. The metalized Si electrode is used in the EDM process to manufacture metallic microcomponents by imprinting the electrode onto a flat metallic surface. The two main advantages of this process are that it enables the fabrication of metallic microdevices and reduces manufacturing cost and time. The development of the new EDM process is described. A silicon component was produced using the Surface Technology Systems plasma etcher and the DRIE process. Such components can be manufactured with a precision in nanometres. The minimum feature of the component is 50 μm. In the experiments, the Si component was coated with copper and then used as the electrode on an EDM machine of 1 μm resolution. In the manufacturing process, 130 V and 0.2 A currents were used for a period of 5 min. The SEM images of the resulting device show clear etched areas, and the electric discharge wave chart indicates a good fabrication condition. The experimental results have been analysed and the new micro-EDM process is found to be able to fabricate 25 μm features.


2019 ◽  
Vol 26 (05) ◽  
pp. 1830008 ◽  
Author(s):  
K. P. MAITY ◽  
M. CHOUBEY

Electrical discharge machining (EDM) is an unconventional machining process used for machining of hard-to-cut materials. Both EDM and micro-EDM processes are extensively used for producing dies and molds, complex cavities, and 3D structures. In recent years, researchers have intensively focused on improving the performance of both micro-EDM and EDM processes. This paper reviews the research work carried out by the researchers on vibration-assisted EDM, micro-EDM, and wire EDM. The consolidated review of this research work enables better understanding of the vibration-assisted EDM process. This study also discusses the influence of vibration parameters such as vibration frequency and amplitude on the material removal rate (MRR), electrode wear rate (EWR), and surface roughness (SR). The important issues and research gaps in the respective area of research are also presented in this paper.


Author(s):  
Premangshu Mukhopadhyay

The process of combining two or more non-conventional machining processes to obtain the required machining performance is known as hybridisation. Hybrid electro discharge machining came into the picture of macro machining due to the requirement of more rapid machining process with improved efficiency of non-conventional machining process. The technique of vibration assisted EDM process did not prove to be successful due to some disadvantages like increase in tool wear for low melting and comparatively softer tool material. Therefore, a need for more advanced hybridised process has been realized to improve the overall machining efficiency specially circularity and radial overcut. A permanent magnetic field force assisted EDM process was carried out on SS 316 plate with tungsten carbide tool of 5 mm diameter. MRR, TWR, and diametral overcut have been optimized by firefly algorithm technique which showed satisfactory results. It has been found that tool wear and diametral overcut has been found to be reduced with magnetic field-assisted EDM than conventional EDM processes.


Author(s):  
Kaushik Kumar ◽  
J. Paulo Davim

Electrical Discharge Machining (EDM) process is a widely used machining process in several fabrication, construction and repair work applications. Considering Pulse-On Time, Pulse OFF time, Peak-Current and Gap voltage as the inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness are considered as outputs. In order to reduce the number of experiments Design of Experiments (DOE) was undertaken using Orthogonal Array and later on the outputs were optimized using ANN and PSO. It was found that the results obtained from both the techniques were tallying with each other.


Author(s):  
Alaa M. Ubaid ◽  
Fikri T. Dweiri ◽  
Shukry H. Aghdeab ◽  
Laith Abdullah Al-Juboori

Electro discharge machining (EDM) process need to be optimized when a new material invented or even if some process variables changed. This process has many variables and it is always difficult to get the optimum set of variables by chance. Therefore, an optimization process need to be conducted considering different combinations of machining parameters as well as other variables even if the process were optimized for a certain set of variables. Optimization of the EDM process for machining stainless steel 304 (SS304) (ASTM A240) was studied in this paper. Signal-to-noise ratio (S/N) was calculated for each performance measures, and multi response performance index (MRPI) was generated using fuzzy logic inference system. Optimal machining parameters for machining SS304 materials were identified, namely current 10, pulse on time 60 μs, and pulse off time 35 μs. Analyses of variances (ANOVA) method was used as well to see which machining parameter has significant effect on the performance measures. The result of ANOVA indicates that pulse off time and current are the most significant machining parameters in affecting the performance measures, with the pulse off time being the most significant parameter.


2010 ◽  
Vol 426-427 ◽  
pp. 156-160
Author(s):  
Jian She Zhao ◽  
Jia Wen Xu ◽  
N.Z. Yun

At present, the rimed integral impeller is machined mainly by NC-electro-discharge machining (NC-EDM). To raise the efficiency of EDM process, the pre-channel is machined by NC-ECM to replace NC-EDM in rough machining process. The experimental results indicate that the whole process efficiency can be improved by not less than 20%, but the design of cathode and its feeding path in NC-ECM is a skilled and costly work. To improve machining accuracy and simplify design process, a new design approach based on simulating the shaping process of NC-ECM was put forward to design the cathode and its feeding path.


Author(s):  
Tushar Bhakte ◽  
Venkatesh Nawre

EDM is an advanced machining process for machining, hard material parts which are difficult to machine by conventional machining process. There are various types of products which can be produced by using Die-sinking EDM, such as dies, mould, parts of aerospace, automobile industry and surgical components can be finished machined by EDM. The objective of the paper is to achieve maximum MRR and a good surface integrity in finish cut by optimizing process variables. This paper presents a method that can be used to automatically determine and optimize the processing parameters in the EDM sinking process with the application of artificial neural networks (ANN).In the industrial tool room survey availability of machining data is prime concern in terms of tuned process parameter for precision machining. Experimental investigations are performed to study the effect of pulse current, pulse on time, area of electrode and gap voltage on response of MRR, in case of ram EDM.


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