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.

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.

Evaluating Influences of Input Parameters on Surface Roughness in Sinking EDM Cylindrical Shaped Parts

2021 ◽  
Vol 1018 ◽  
pp. 85-90
Author(s):  
Tran Thi Hong ◽  
Nguyen Anh Tuan ◽  
Bui Thanh Danh ◽  
Le Hong Ky ◽  
Nguyen Hong Linh ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Electrical Discharge Machining ◽  
Work Piece ◽  
Enabling Factors ◽  
Input Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
The Impact ◽  
Off Time ◽  
Optimum Input

The input parameters in the process of sinking Electrical Discharge Machining (EDM) are the essential enabling factors that need to be determined. In the present work, the influences of the EDM input parameters containing pulse on time (Ton), pulse off time (Toff), discharge current (IP), Server voltage (SV), work-piece diameter (dw) on the surface roughness (SR) in sinking EDM cylindrical shaped part of 9CrSi material were investigated. Taguchi technique and analysis of variance (ANOVA) have been used to identify the weight of EDM factors on SR. The results show that the impact level of Ton, Toff, IP, SP, and dw are 65.55%, 8.66%, 19.17%, 3.14%, and 0.76%, respectively. By analyzing the experimental results, optimum input parameters with the Ton of 6 ms, Toff of 30 ms, IP of 9A, SP of 3V, and dw of 10mm have been determined, that allow getting the best surface roughness.

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.

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

Surface Study in a Non-conventional (Electrical Discharge Machining) Process for Grade 6 Titanium Material

2014 ◽  
Vol 68 (1) ◽  
Author(s):  
Md. Ashikur Rahman Khan ◽  
M. M. Rahman
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Machining Process ◽  
Machined Surface ◽  
Titanium Material ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

Electrical discharge machining (EDM) produces complex shapes and permits high-precision machining of any hard or difficult-to-cut materials. The performance characteristics such as surface roughness and microstructure of the machined face are influenced by numerous parameters. The selection of parameters becomes complicated. Thus, the surface roughness (Ra) and microstructure of the machined surface in EDM on Grade 6 titanium alloy are studied is this study. The experimental work is performed using copper as electrode material. The polarity of the electrode is maintained as negative. The process parameters taken into account in this study are peak current (Ip), pulse-on time (Ton), pulse-off time (Toff), and servo-voltage (Sv). A smooth surface finish is found at low pulse current, small on-time and high off-time. The servo-voltage affects the roughness diversely however, a finish surface is found at 80 V Sv. Craters, cracks and globules of debris are appeared in the microstructure of the machined part. The size and degree of craters as well as cracks increase with increasing in energy level. Low discharge energy yields an even surface. This approach helps in selecting proper process parameters resulting in economic EDM machining. 

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

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 Input Parameters on Electrode Wear in PMEDM Cylindrical Shaped Parts

2020 ◽  
Vol 861 ◽  
pp. 136-142
Author(s):  
Le Hong Ky ◽  
Bui Thanh Danh ◽  
Nguyen Van Cuong ◽  
Tran Thi Hong ◽  
Thai Vinh Nguyen ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Electrode Wear ◽  
Workpiece Material ◽  
Powder Concentration ◽  
Alloy Tool ◽  
Input Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Optimum Input

This paper deals with the effect of input parameters of Powder Mixed Electric Discharge Machining (PMEDM) process on the surface roughness when processing cylindrical shaped parts. In this work, the workpiece material is 90CrSi alloy tool steel and the nanopowder is silicon carbide. Also, five input parameters including the pulse on time, the pulse off time, the powder concentration, the current and the server voltage were selected to investigate their influence on the surface roughness. Taguchi method and ANOVA analysis were used and the effect of input parameters on the surface roughness was presented. Moreover, optimum input parameters for minimum surface roughness was suggested.

scholarly journals Electrical Discharge Machining with SiC Powder-Mixed Dielectric: An Effective Application in the Machining Process of Hardened 90CrSi Steel

Machines ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 36 ◽  
Author(s):  
Thi-Hong Tran ◽  
Manh-Cuong Nguyen ◽  
Anh-Tung Luu ◽  
The-Vinh Do ◽  
Thu-Quy Le ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Electrical Discharge ◽  
Pulse Current ◽  
Electrical Discharge Machining ◽  
Machining Process ◽  
Powder Concentration ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Edm Process

As a successful solution applied to electrical discharge machining (EDM), powder-mixed electrical discharge machining (PMEDM) has been proposed as an upgrade of the EDM process. The optimization of the process parameters of PMEDM is essential and pressing. In this study, Taguchi methods and analysis of variance (ANOVA) were used to find the main parameters affecting surface roughness in the EDM process with SiC powder-mixed-dielectric of hardened 90CrSi steel. The PMEDM parameters selected were the powder concentration, the pulse-on-time, the pulse-off-time, the pulse current, and the server voltage. It was found that SiC powder exhibits positive effects on reducing surface roughness. The roughness obtained with the optimum powder concentration of 4 g/L was reduced by 30.02% compared to that when processed by conventional EDM. Furthermore, the pulse-off-time was found to be the most influential factor that gave an important effect on surface roughness followed by the powder concentration. The EDM condition including a powder concentration of 4 g/L, a pulse-on-time of 6 µs, a pulse-off-time of 21 µs, a pulse current of 8 A, and a server voltage of 4 V resulted in the best surface roughness.

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