scholarly journals Characterizing the Effects of Micro Electrical Discharge Machining Parameters on Material Removal Rate during Micro EDM Drilling of Tungsten Carbide (WC-Co)

2017 ◽  
Vol 241 ◽  
pp. 012005 ◽  
Author(s):  
Mehdi Hourmand ◽  
Ahmed A. D. Sarhan ◽  
Mohd Sayuti
Keyword(s):  
Tungsten Carbide ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Parameters ◽  
Micro Edm ◽  
Micro Electrical Discharge Machining ◽  
Edm Drilling

Study on the Effect of Nano and Micro MoS2 Powder in Micro-Electrical Discharge Machining

2011 ◽  
Vol 264-265 ◽  
pp. 1450-1455 ◽  
Author(s):  
Gunawan Setia Prihandana ◽  
Tutik Sriani ◽  
Kei Prihandana ◽  
Yuta Prihandana ◽  
Muslim Mahardika ◽  
...  
Keyword(s):  
Surface Quality ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Micro Edm ◽  
Micro Electrical Discharge Machining ◽  
Powder Suspension ◽  
Size Powder

The application of powder mixed dielectric to improve the efficiency of electrical discharge machining (EDM) has been acknowledged extensively. However, the study of micro-size powder suspension in micro-EDM field is still limited. In this research, nano and micro size powder of MoS2 were used as catalyst agent. Powder suspension in different size was able to provide significant improvement in material removal rate and surface quality to increase the efficiency in μ- EDM processes.

Optimization of μEDM process assisted with rotating magnetic pulling force and ultrasonic vibration

2021 ◽  
pp. 095440892098440
Author(s):  
Gurpreet Singh ◽  
DR Prajapati ◽  
PS Satsangi
Keyword(s):  
Ultrasonic Vibration ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Micro Electrical Discharge Machining ◽  
Pulling Force ◽  
Tool Rotation

The micro-electrical discharge machining process is hindered by low material removal rate and low surface quality, which bound its capability. The assistance of ultrasonic vibration and magnetic pulling force in micro-electrical discharge machining helps to overcome this limitation and increase the stability of the machining process. In the present research, an attempt has been made on Taguchi based GRA optimization for µEDM assisted with ultrasonic vibration and magnetic pulling force while µEDM of SKD-5 die steel with the tubular copper electrode. The process parameters such as ultrasonic vibration, magnetic pulling force, tool rotation, energy and feed rate have been chosen as process variables. Material removal rate and taper of the feature have been selected as response measures. From the experimental study, it has been found that response output measures have been significantly improved by 18% as compared to non assisted µEDM. The best optimal combination of input parameters for improved performance measures were recorded as machining with ultrasonic vibration (U1), 0.25 kgf of magnetic pulling force (M1), 600 rpm of tool rotation (R2), 3.38 mJ of energy (E3) and 1.5 mm/min of Tool feed rate (F3). The confirmation trail was also carried out for the validation of the results attained by Grey Relational Analysis and confirmed that there is a substantial improvement with both assistance applied simultaneously.

scholarly journals Multi objective optimization for kerf and material removal rate in wire electrical discharge machining using Taguchi method combined grey relational analysis

2018 ◽  
Vol 204 ◽  
pp. 06006 ◽  
Author(s):  
Pathya Rupajati ◽  
M. Kurniadi Rasyid ◽  
Ali Nurdin
Keyword(s):  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Wire Electrical Discharge Machining ◽  
Machining Parameters ◽  
Relational Analysis ◽  
Grey Relational ◽  
Wire Feed

This paper investigated the multi performance characteristics of wire electrical discharge machining for an optimal machining parameters to get low kerf and high material removal rate at the same time. The machining parameters i.e arc on time, on time, servo voltage and wire feed were used in this experiment. Based on L9 orthogonal array, the signal-to-noise (S/N) ratio and the analysis of variance (ANOVA) was used to study the machining parameters of DIN 1.2510 tool steel. Multi response characteristics were solved by Taguchi method combined grey relational analysis. Experimental results are provided to demonstrate the effectiveness of this method i.e. kerf decreased from 354 μm to 345 μm, while material removal rate (MRR) increased from 9,313 mm3/min to 13,989 mm3/min. From the optimization result validated in the confirmation experiment the machining parameters combination that could produce the optimum responses are arc on time of 2 A, pulse on time of 8 μs, servo voltage 80 V and wire feed 60 mm/min.

Micro-EDMing of SKD-5 die steel stimulated with magnetic field and ultrasonic vibration

2021 ◽  
pp. 095440892110504
Author(s):  
Gurpreet Singh ◽  
Vivek Sharma
Keyword(s):  
Magnetic Field ◽  
Ultrasonic Vibration ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Cumulative Effect ◽  
Machining Performance ◽  
Micro Electrical Discharge Machining

Electrical discharge machining is an essential process in the domain of micromachining. However, many issues need to be solved to implement it in the industrial field. Increasing the machining rate still remains a challenging task in case of micro electrical discharge machining. It becomes impossible to machine a microfeature at a larger depth. Numerous investigators have investigated the positive effect of assistance such as magnetic field and ultrasonic vibration. This paper the discusses machining performance by simultaneously applying the ultrasonic vibration and magnetic field to the machining zone in micro-electrical discharge machining. The process performance is analyzed by measuring the performance characteristics such as material removal rate and taper of the microfeature. The results confirmed that the cumulative effect of each assistance ends in a better material removal rate and low taper of the microfeature.

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