AN INVESTIGATION ON TOOL WEAR IN ELECTRIC DISCHARGE MACHINING (EDM)

The current study surveys the results of using deionized water and kerosene as dielectrics in the machining outputs of γ-TiAl intermetallic compound obtained in electric discharge machining. Influences of these different dielectrics properties on machining speed, tool wear, surface cracks and roughness were compared. Scanning electron microscopy micrographs were prepared to investigate influences of dielectrics on the surface characteristics of electrically discharged samples. Results indicate which by kerosene dielectric; the material removal rate (MRR) is further compared to another one. But deionized water as dielectric causes higher tool wear ratio than kerosene dielectric. Electrical discharged samples in deionized water have higher surface roughness, in addition it contains surface cracks, whereas kerosene dielectric results better surface finish in low pulse current. According to XRD spectra electric discharge machining in deionized water and kerosene dielectrics produces Ti3 Al intermetallic compound on the produced surface.

Download Full-text

Powder Mixed Near Dry Electric Discharge Machining Parameter Optimization for Tool Wear Rate

Lecture Notes on Multidisciplinary Industrial Engineering - Advances in Unconventional Machining and Composites ◽

10.1007/978-981-32-9471-4_1 ◽

2019 ◽

pp. 3-16

Author(s):

Sanjay Sundriyal ◽

Ravinder Singh Walia ◽

Vipin

Keyword(s):

Wear Rate ◽

Tool Wear ◽

Parameter Optimization ◽

Electric Discharge ◽

Tool Wear Rate ◽

Electric Discharge Machining ◽

Machining Parameter

Download Full-text

Modeling the tool wear rate in powder mixed electro-discharge machining of titanium alloys using dimensional analysis of cryogenically treated electrodes and workpiece

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering ◽

10.1177/0954408915593875 ◽

2016 ◽

Vol 231 (2) ◽

pp. 271-282 ◽

Cited By ~ 22

Author(s):

Sanjeev Kumar ◽

Rupinder Singh ◽

Ajay Batish ◽

TP Singh

Keyword(s):

Mathematical Model ◽

Wear Rate ◽

Tool Wear ◽

Titanium Alloys ◽

Dimensional Analysis ◽

Electric Discharge ◽

Cryogenic Treatment ◽

Tool Wear Rate ◽

Electric Discharge Machining ◽

X Ray

Three grades of titanium alloy TITAN 15, TITAN 21, and TITAN 31 were machined using powder mixed electric discharge machining to study the effect of cryogenic treatment and its effect on tool wear rate (TWR). Thereafter, an attempt has been made to develop a mathematical model for predicting TWR using dimensional analysis using the outcome of the Taguchi model and thermo-physical properties of tool materials. The model shows the significant role of thermal conductivity on TWR in electric discharge machining of titanium alloys. The predicted values from the developed mathematical model were validated and were found to be in good agreement with the experimental results. Microscopic investigations on selected tool samples were performed using scanning electron microscope, energy-dispersive X-ray spectrometer, and X-ray diffraction. The results showed transfer of material on the tool surface from the workpiece, dielectric, and the powder.

Download Full-text

Optimization of Machining Variables in Electric Discharge Machining Using Stainless Steel 317 in Full Factorial Method

Mechanics and Mechanical Engineering ◽

10.2478/mme-2018-0010 ◽

2020 ◽

Vol 22 (1) ◽

pp. 105-118 ◽

Cited By ~ 1

Author(s):

S. Nandhakumar ◽

S. Sathish Kumar ◽

K. Sakthivelu

Keyword(s):

Wear Rate ◽

Tool Wear ◽

Electric Discharge ◽

Metal Removal ◽

Removal Rate ◽

Machining Process ◽

Tool Wear Rate ◽

Electric Discharge Machining ◽

Machining Time ◽

Input Variables

AbstractElectric Discharge Machining (EDM) is a non-conventional machining process and has a larger extent of application in manufacturing industry due to its accuracy. EDM simply uses electrical spark between the tool and workpiece in presence of dielectric medium to erode the workpiece in controlled manner. Improving the material removal rate and decreasing the tool wear rate (TWR), achieving higher surface finish, reducing machining time and enhancing dimensional accuracy are the major areas of focus in electrical discharge machining (EDM) process of SS 317 grade steel. In this research work effort to reduce the tool wear rate is concentrated by comparing the machining performance of two distinct electrodes namely copper and brass. Each electrode has their unique machining capabilities and the experimental results were compared in-terms of tool wear rate (TWR), Metal Removal Rate (MRR) and Machining Time (TM). Input variables were optimized based on the experimental output responses to achieve optimal level of input variables.

Download Full-text