scholarly journals Effect of Different Dielectrics on Material Removal Rate, Electrode Wear Rate and Microstructures in EDM

Procedia CIRP ◽  
2017 ◽  
Vol 60 ◽  
pp. 2-7 ◽  
Author(s):  
Misbah Niamat ◽  
Shoaib Sarfraz ◽  
Haris Aziz ◽  
Mirza Jahanzaib ◽  
Essam Shehab ◽  
...  
ROTASI ◽  
2014 ◽  
Vol 16 (4) ◽  
pp. 9
Author(s):  
Petrus Londa

Keausan elektroda pada proses EDM die sinking adalah peristiwa yang tidak dapat di hindari, namun dengan mengatur variabel pemotongan yang sesuai, diharapkan keausan yang terjadi se-minim mungkin sehingga dapat menjamin tingkat akurasi ukuran pada benda kerja yang di hasilkan. Pada penelitian ini di pilih metode Taguchi untuk menentukan variabel pemotongan yang optimum pada elektroda tembaga dan benda kerja dari bahan K460 (amutit S). Taguchi L9 orthogonal array, signal-to-noise ratio (S/N ratio) dan analysis of variance (ANOVA) dapat menentukan performa variabel proses EDM (PON, POFF, QDON dan GAP) dengan parameter yang di teliti adalah Electrode Wear Rate (EWR) dan Material Removal Rate (MRR). Hasil dari eksperimen tersebut di tampilkan dalam bentuk tabel-tabel dan grafik


Author(s):  
Jagtar Singh ◽  
Gurminder Singh ◽  
Pulak M Pandey

The present investigation addresses the machining outcome of electric discharge machining using a rapid manufactured complex shape copper electrode. Developed rapid manufacturing technique using an amalgamation of polymer 3D printing and pressureless sintering of loose powder as rapid tooling has been used to fabricate copper electrode from the computer-aided design model of the desired shape. The fabricated electrode was used for the electric discharge machining of the D-2 steel workpiece. Central composite design was employed to study the electric discharge machining parameters (pulse duration, duty cycle and peak current) effect on the electric discharge machining characteristics such as material removal rate, electrode wear rate and cavity dimensional deviation as overcut from electrode computer-aided design model. Analysis of variance was executed to attain significant parameters along with interactions. Peak current was found to be the utmost dominating parameter for three responses. The high percentage of carbon was observed on the electrode surface after electric discharge machining at the high level of pulse duration and resulted in low electrode wear rate. The high percentage of dimensional deviation was noticed at the maximum duty cycle and maximum peak current by the substantial interactions. Genetic algorithm-based multi-objective optimization was employed for the electric discharge machining parameters optimization to maximize material removal rate, minimize electrode wear rate and dimensional deviation. The multi-feature complex copper electrode was fabricated and used for electric discharge machining as the case study to check the efficacy of the optimized process. It was witnessed that the process was competent to fabricate complex shape cavity as per the desired computer-aided design model shape with efficient material removal rate and electrode wear rate.


2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Teepu Sultan ◽  
Anish Kumar ◽  
Rahul Dev Gupta

Electrical discharge machining is one of the earliest nontraditional machining, extensively used in industry for processing of parts having unusual profiles with reasonable precision. In the present work, an attempt has been made to model material removal rate, electrode wear rate, and surface roughness through response surface methodology in a die sinking EDM process. The optimization was performed in two steps using one factor at a time for preliminary evaluation and a Box-Behnken design involving three variables with three levels for determination of the critical experimental conditions. Pulse on time, pulse off time, and peak current were changed during the tests, while a copper electrode having tubular cross section was employed to machine through holes on EN 353 steel alloy workpiece. The results of analysis of variance indicated that the proposed mathematical models obtained can adequately describe the performances within the limits of factors being studied. The experimental and predicted values were in a good agreement. Surface topography is revealed with the help of scanning electron microscope micrographs.


Author(s):  
Gaurav Pandey

Abstract: The proper selection of machining conditions and machining parameter is an important aspect, before going to machine a carbon-fiber composite material by Die sinking electrical discharge machining (EDM). Because these conditions will determine such important characteristics as; Material removal rate (MRR), Electrode wears rate (EWR), and Surface roughness (R). The purpose of this work is to determine the optimal values of machining parameters of electrical discharge machine, while machining carbon-fiber-composite with copper electrode. The work has been based on the affect of four design factors: pulse current(Ip) supplied by power supply system of electrical discharge machine (EDM), pulse-on-time(TON), gap voltage(Vg) and duty cycle () on such characteristic like material removal rate (MRR), electrode wear rate(EWR), and surface roughness(Ra) on work-piece surface. This work has been done by means of the technique of design of experiment (DOE), which provides us to perform the above-mentioned analysis with small number of experiments. In this work, a L9 orthogonal array is used to design the experiment. The adequate selection of machining parameters is very important in manufacturing system, because these parameters determine the surface quality and dimensional accuracy of the manufactured part. The optimal setting of the parameters are determined through experiments planned, conducted and analyzed using the Taguchi method. It is found that material removal rate (MRR) reduces substantially, within the region of experimentation, if the parameters are set at their lowest values, while the parameters set at their highest values increases electrode wear rate (EWR). Keywords: EDM, Material removal rate, Surface roughness, Tool wear rate,


ROTASI ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 1
Author(s):  
Petrus Londa

Electrical Discharge Machining (EDM) adalah non-conventional machining process. EDM dapat memotong semua jenis benda kerja yang bersifat penghantar listrik, terutama digunakan pada benda kerja yang sangat keras dan memiliki bentuk yang rumit, yang tidak dapat dipotong oleh mesin konvensional. Penelitian ini menggunakan metode Taguchi untuk menentukan variabel pemesinan yang secara signifikan mempengaruhi proses pemotongan pada beberapa material elektroda (tembaga, kuningan, alumunium) dan benda kerja dari bahan K460 (amutit S). Taguchi L25 Orthogonal standard arrays dan analysis of variance (ANOVA) dapat menentukan performa variabel pemotongan (PON, POFF, GAP, QDON, SERVO dan LT) dengan variabel yang diteliti adalah Electrode Wear Rate (EWR), Material Removal Rate (MRR) dan Diameter Overcut (DOC). Hasil dari penelitian ini ditampilkan dalam bentuk tabel-tabel dan grafik yang menunjukan variabel pemesinan yang signifikan mempengaruhi proses pemotongan sesuai dengan jenis material elektroda yang digunakan.


Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 38 ◽  
Author(s):  
Misbah Niamat ◽  
Shoaib Sarfraz ◽  
Wasim Ahmad ◽  
Essam Shehab ◽  
Konstantinos Salonitis

Electro Discharge Machining (EDM) can be an element of a sustainable manufacturing system. In the present study, the sustainability implications of EDM of special-purpose steels are investigated. The machining quality (minimum surface roughness), productivity (material removal rate) improvement and cost (electrode wear rate) minimization are considered. The influence and correlation of the three most important machining parameters including pulse on time, current and pulse off time have been investigated on sustainable production. Empirical models have been established based on response surface methodology for material removal rate, electrode wear rate and surface roughness. The investigation, validation and deeper insights of developed models have been performed using ANOVA, validation experiments and microstructure analysis respectively. Pulse on time and current both appeared as the prominent process parameters having a significant influence on all three measured performance metrics. Multi-objective optimization has been performed in order to achieve sustainability by establishing a compromise between minimum quality, minimum cost and maximum productivity. Sustainability contour plots have been developed to select suitable desirability. The sustainability results indicated that a high level of 75.5% sustainable desirability can be achieved for AISI L3 tool steel. The developed models can be practiced on the shop floor practically to attain a certain desirability appropriate for particular machine limits.


2013 ◽  
Vol 315 ◽  
pp. 369-373
Author(s):  
S. Sulaiman ◽  
A.A. Khan ◽  
M.A. Razak ◽  
M.R. Ibrahim ◽  
M.S. Yusof

The purpose of this paper is to study the effect of current on performance of EDM process of Allegheny Ludlum D2 Tool Steel (UNS T30402). The effect of varying the machining parameters on the machining responses such as material removal rate (MRR), electrode wear rate (EWR), and surface roughness (Ra) have been investigated. In this study, circular shape of copper was used as an electrode with surface area of 100mm². The experiments were repeated for three different values of pulse duration (100µs, 200µs and 400µs) with combination of three different values of discharge current (12A, 16A and 24A). It was found that the pulse duration and current give significant effect on MRR, EWR and Ra. An increase in the pulse durations causes an increase in the MRR and Ra, but a decrease in the EWR. Meanwhile, the effect of currents on EDM performance shows that the increasing currents led to an increase in the MRR, EWR and Ra.


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