Influence of Process Parameters on Electrode Wear in Electrical Discharge Machining Cylindrical Shaped Parts

2020 ◽  
Vol 853 ◽  
pp. 24-28
Author(s):  
Nguyen Van Cuong ◽  
Le Hong Ky ◽  
Tran Thi Hong ◽  
Tran Thanh Hoang ◽  
Manh Cuong Nguyen ◽  
...  
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Input Parameter ◽  
Electrode Wear ◽  
Influence Of Process Parameters ◽  
Optimization Study ◽  
Input Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

This paper introduces an optimization study on electrode wear when electrical discharge machining (EDM) cylindrical shaped parts made from 90CrSi. In the study, the experiments were performed and analyzed by using Taguchi method. The input parameters of the experiments were the pulse on time, the pulse off time, the current, and the server voltage. The effect of input parameters on the electrode wear were evaluated by analyzing variance. Also, the optimum values of the input parameter were proposed for getting the minimum electrode wear.

Effect of Electrical Discharge Machining on Surface Roughness of Cylindrical Shaped Parts

2020 ◽  
Vol 853 ◽  
pp. 13-17
Author(s):  
Le Hong Ky ◽  
Thi Hong Tran ◽  
Nguyen Van Cuong ◽  
Tran Thanh Hoang ◽  
Do Thi Tam ◽  
...  
Keyword(s):  
Experimental Study ◽  
Surface Roughness ◽  
Taguchi Method ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Input Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Optimum Input

This paper introduces an experimental study on the influence of electrical discharge machining (EDM) cylindrical shaped parts made of 90CrSi tool steel. In this work, some experiments were designed and analysed based on Taguchi method. Also, four input parameters including the pulse on time, the pulse off time, the current, and the server voltage were investigated. The influence of these parameters on the surface roughness were estimated by analysing variance. In addition, the optimum input parameters were found for getting the minimum surface roughness.

scholarly journals Parametric Study for Wire Cut Electrical Discharge Machining of Sintered Titanium

2019 ◽  
Vol 69 (1) ◽  
pp. 17-38 ◽  
Author(s):  
De Dwaipayan ◽  
Nandi Titas ◽  
Bandyopadhyay Asish
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Sintered Titanium ◽  
Wire Tension ◽  
Input Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Wire Feed ◽  
Time Pulse

AbstractIn 21st century, it has been observed that Wire Cut Electrical Discharge Machining (WEDM) has evolved as one of the most important non-traditional machining process. The popularity and its success lies because of its uniqueness towards producing different components which are very difficult to machine like titanium, tungsten carbide, Inconel materials etc and provides a platform in producing intricate complex shape which in many cases become impossible to machine by traditional machining methods. Pure sintered titanium bears very high specific strength, abrasion and corrosion resistances and thus machining this type of materials by conventional techniques becomes very difficult though this material finds immense applications in bio-plant and aerospace components. In the present work, WEDM on pure sintered titanium is studied. The different input parameters of WEDM like, pulse on time, pulse off time, wire tension and wire feed have been varied to investigate the output response like MRR, Surface Roughness (Ra), Kerf Width and Over Cut. A response surface methodology (4 factors 3 level) design of experiment (DOE) has been applied in this context to examine the machining ability of pure sintered titanium and results are found to be satisfactory and verified by confirmatory test. The machining parameters like pulse on time, pulse off time, wire tension and wire feed shows immense effect on the output responses and present study provide an optimal conditions of these input parameters to get the best output responses through RSM

scholarly journals Effects of Side Flushing and Multi-Aperture Inner Flushing on Characteristics of Electrical Discharge Machining Macro Deep Holes

Metals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 148
Author(s):  
Suppawat Chuvaree ◽  
Kannachai Kanlayasiri
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Electrode Wear ◽  
Machining Parameters ◽  
Machining Performance ◽  
Electrode Rotation ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

This research investigates the effect of machining parameters on material removal rate, electrode wear ratio, and gap clearance of macro deep holes with a depth-to-diameter ratio over four. The experiments were carried out using electrical discharge machining with side flushing and multi-aperture flushing to improve the machining performance and surface integrity. The machining parameters were pulse on-time, pulse off-time, current, and electrode rotation. Response surface methodology and the desirability function were used to optimize the electrical discharge machining parameters. The results showed that pulse on-time, current, and electrode rotation were positively correlated with the material removal rate. The electrode wear ratio was inversely correlated with pulse on-time and electrode rotation but positively correlated with current. Gap clearance was positively correlated with pulse on-time but inversely correlated with pulse off-time, current, and electrode rotation. The optimal machining condition of electrical discharge machining with side flushing was 100 µs pulse on-time, 20 µs pulse off-time, 15 A current, and 70 rpm electrode rotation; and that of electrical discharge machining with multi-aperture flushing was 130 µs, 2 µs, 15 A, and 70 rpm. The novelty of this research lies in the use of multi-aperture flushing to improve the machining performance, enable a more uniform GC profile, and minimize the incidence of recast layer.

Analysis of Effects of Machining Parameters on Surface Roughness in Electrical Discharge Machining Tablet Shape Punches Using Taguchi Method

2020 ◽  
Vol 977 ◽  
pp. 12-17
Author(s):  
Thi Hong Tran ◽  
Tien Dung Hoang ◽  
Hong Ky Le ◽  
Thi Tam Do ◽  
Thanh Hien Bui ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Copper Electrode ◽  
Machining Parameters ◽  
Input Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

This paper presents a study on analysis of influences of the surface roughness in Electrical Discharge Machining 90CrSi tablet shape punches with the use of copper electrode. In this paper, 9 experimental runs were designed and conducted by using Taguchi method. In addition, 4 process parameters including the gap voltage, the pulse current, the pulse on time and the pulse off time were investigated. The influences of these input parameters on the surface roughness were evaluated by analysing variance. Also, from the experimental results, optimum values of the input parameters for getting the minimum surface roughness were proposed.

Multi-Objective Optimization of Surface Roughness and Electrode Wear in EDM Cylindrical Shaped Parts

2021 ◽  
Vol 1018 ◽  
pp. 59-64
Author(s):  
Le Hong Ky ◽  
Bui Thanh Danh ◽  
Nguyen Van Cuong ◽  
Nguyen Hong Linh ◽  
Tran Thi Hong ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Electrical Discharge Machining ◽  
Electrode Wear ◽  
Input Parameters ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Calculated Model ◽  
Off Time ◽  
Optimum Input

The purpose of this work is to find an optimal combination of the input parameters when electrical discharge machining (EDM) cylindrical shaped parts so that both the surface roughness and the electrode wear are minimum. In this study, four input parameters including the pulse on time, the pulse off time, the current, and the serve voltage were taken into account. Experimental plan was designed based on L9 orthogonal array. Also, Taguchi method and Grey Relational Analysis (GRA) were joined for solving the multiobjective optimization problem and to find optimum input parameters. Experiments with optimal input parameters were performed for proving the predicted model. The experimental results of the surface roughness and the electrode wear matched with the calculated model. This indicates the proposed models can be used for practice.

Mathematical Modeling of Machining Parameters in Electrical Discharge Machining with Cu-B4C Composite Electrode

2012 ◽  
Vol 488-489 ◽  
pp. 871-875
Author(s):  
V. Anandakrishnan ◽  
V. Senthilkumar
Keyword(s):  
Mathematical Models ◽  
Current Pulse ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Selection Of

Copper based metal matrix composite reinforced with Boron Carbide is a newly developed Electrical Discharge Machining (EDM) electrode showing better performance than the conventional copper based electrode. Right selection of machining parameters such as current, pulse on time and pulse off time is one of the most important aspects in EDM. In this paper an attempt has been made to develop mathematical models for relating the Material Removal Rate (MRR), Tool Removal Rate (TRR) and Surface roughness (Ra) to machining parameters (current, pulse-on time and pulse-off time). Furthermore, a study was carried out to analyze thSubscript texte effects of machining parameters on various performance parameters such as, MRR, TRR and Ra. The results of Analysis of Variance (ANOVA) indicate that the proposed mathematical models, can adequately describe the performance within the limits of the factors being studied. Response surface modeling is used to develop surface and contour graphs to analyze the effects of EDM input parameters on outer parameters.

Experimental Evaluation on Corner Accuracy in WEDM for Aluminium 6061 Alloy

2021 ◽  
pp. 96-113
Author(s):  
Debal Pramanik ◽  
Dipankar Bose
Keyword(s):  
Electrical Discharge ◽  
Thermal Process ◽  
Electrical Discharge Machining ◽  
Sharp Corner ◽  
Proposed Model ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Wire Feed ◽  
Time Pulse

An important electro-thermal process known as wire electrical discharge machining (WEDM) is applied for machining of conductive materials to generate most precisely. All cutting inaccuracies of WEDM arise out of the major cause of wire bending. At the time of cutting a sharp corner or cut profile, bending of the wire leads to a geometrical error on the workpiece. Though this type of error may be of a few hundred microns, it is not suitable for micro applications. In this research study, an experimental investigation based on response surface methodology (RSM) has been done on wire EDM of Aluminium 6061 t6 alloy. This chapter studies the outcome of input process variables (i.e., wire feed rate, pulse on time, pulse off time, and gap voltage) on machining output responses (i.e., corner inaccuracy) extensively. Experimental validation of the proposed model shows that corner inaccuracy value may be reduced by modification of input parameters.

Influence of Process Parameters on Characteristics of Electrical Discharge Machining of PH17-4 Stainless Steel

2015 ◽  
Vol 14 (03) ◽  
pp. 189-202 ◽  
Author(s):  
V. Vikram Reddy ◽  
P. Madar Valli ◽  
A. Kumar ◽  
Ch. Sridhar Reddy
Keyword(s):  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Surface Hardness ◽  
Machining Process ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

In the present work, an investigation has been made into the electrical discharge machining process during machining of precipitation hardening stainless steel PH17-4. Taguchi method is used to formulate the experimental layout, to analyze the effect of each process parameter on machining characteristics and to predict the optimal choice for each electrical discharge machining process parameters namely, peak current, pulse on time and pulse off time that give up optimal process performance characteristics such as material removal rate, surface roughness, tool wear rate and surface hardness. To identify the significance of parameters on measured response, the analysis of variance has been done. It is found that parameters peak current and pulse on time have the significant affect on material removal rate, surface roughness, tool wear rate and surface hardness. However, parameter pulse off time has significant affect on material removal rate. Confirmation tests are conducted at their respective optimum parametric settings to verify the predicted optimal values of performance characteristics.

Surface Roughness Optimization of Wire Electrical Discharge Machining Using ABC Algorithm

2015 ◽  
Vol 766-767 ◽  
pp. 902-907
Author(s):  
Bibin K. Tharian ◽  
B. Kuriachen ◽  
Josephkunju Paul ◽  
Paul V. Elson
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Wire Electrical Discharge Machining ◽  
Wire Tension ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Wire Feed

Wire electrical discharge machining is one of the important non-traditional machining processes for machining difficult to machine materials. It involves the removal of material by the discrete electric discharges produced between the inter electrode gap of continuously moving wire electrode and the work piece. The ability to produce intricate profiles on materials irrespective of the mechanical properties made this process to be widely used in industries. The present study investigates the relationship of various process parameters in WEDM of AISI 202 stainless steel with brass electrode.The experiments were planned according to Taguchi’s L18 orthogonal array and experimental models were developed. The important process parameters identified for the present study were pulse on time, peak current, pulse off time, wire feed, wire tension, dielectric flushing pressure, servo feed and gap voltage. The surface roughness of the machined surface was measured as the process performance measure. Analysis of variance test has also been carried out to check the adequacy of the developed models and to identify the level of significance of each process parameters. In addition to the developed models, ABC optimization has been performed to identify the optimum parameter combination for minimum surface roughness and the obtained optimal process parameters are peak current 11 A, pulse on time 100 μs, pulse off time 49 μs, wire feed 4 m/min, wire tension 10 N, flushing pressure 12 kg/cm2, servo feed 2100 mm/min and set gap voltage 30 V. Finally the results were verified with the experimental results and found that they are in good agreement.

scholarly journals Surface Roughness Prediction for Steel 304 In Edm Using Response Graph Modeling

2018 ◽  
Vol 14 (4) ◽  
pp. 115-124 ◽  
Author(s):  
Shukry H. Aghdeab ◽  
Nareen Hafidh Obaeed ◽  
Marwa Qasim Ibraheem
Keyword(s):  
Surface Roughness ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Machining Process ◽  
Applied Current ◽  
Graph Modeling ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
The Impact ◽  
Off Time

Electrical Discharge Machining (EDM) is a non-traditional cutting technique for metals removing which is relied upon the basic fact that negligible tool force is produced during the machining process. Also, electrical discharge machining is used in manufacturing very hard materials that are electrically conductive. Regarding the electrical discharge machining procedure, the most significant factor of the cutting parameter is the surface roughness (Ra). Conventional try and error method is time consuming as well as high cost. The purpose of the present research is to develop a mathematical model using response graph modeling (RGM). The impact of various parameters such as (current, pulsation on time and pulsation off time) are studied on the surface roughness in the present research. 27 samples were run by using CNC-EDM machine which used for cutting steel 304 with dielectric solution of gas oil by supplied DC current values (10, 20, and 30A). Voltage of (140V) uses to cut 1.7mm thickness of the steel and use the copper electrode. The result from this work is useful to be implemented in industry to reduce the time and cost of Ra prediction. It is observed from response table and response graph that the applied current and pulse on time have the most influence parameters of surface roughness while pulse off time has less influence parameter on it. The supreme and least surface roughness, which is achieved from all the 27 experiments is (4.02 and 2.12µm), respectively. The qualitative assessment reveals that the surface roughness increases as the applied current and pulse on time increases

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