Study on the Influence of Hybridized Powder Mixed Dielectric in Electric Discharge Machining of Alloy Steels

Choudhury, Suvan Dev; Saharia, Neelabh Jyoti; Surekha, B.; Mondal, Goutam

doi:10.1016/j.matpr.2018.06.181

Cited by 15 publications

(3 citation statements)

References 13 publications

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“…Selvarajan et al [17] reviewed EDM with different industrial demanded composite materials and demonstrated various parameters that effect on the performance. Choudhury et al [18] have focused on investigation on the hybrid PMEDM using the powders of multiwalled carbon nanotube (CNT) and aluminium that mixed in kerosene for machining the EN-19 alloy steel with brass electrode. Kumar et al [19] have tested the machinability of Inconel 825 with addition of graphene nanopowder to the die sinking EDM dielectric fluid.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks

Jampana

Rao

Sampathkumar³

2021

Advances in Materials Science and Engineering

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Electric discharge machining (EDM) process is one of the earliest and most extensively used unconventional machining processes. It is a noncontact machining process that uses a series of electric discharges to remove material from an electrically conductive workpiece. This article is aimed to do a comprehensive experimental and thermal investigation of the EDM, which can predict the machining characteristic and then optimize the output parameters with a newly integrated neural network-based methodology for modelling and optimal selection of process variables involved in powder mixed EDM (PMEDM) process. To compare and investigate the effects caused by powder of differently thermo physical properties on the EDM process performance with each other as well as the pure case, a series of experiments were conducted on a specially designed experimental setup developed in the laboratory. Peak current, pulse period, and source voltage are selected as the independent input parameters to evaluate the process performance in terms of material removal rate (MRR) and surface roughness (Ra). In addition, finite element method (FEM) is utilized for thermal analysis on EDM of stainless-steel 630 (SS630) grade. Further, back propagated neural network (BPNN) with feed forward architecture with analysis of variance (ANOVA) is used to find the best fit and approximate solutions to optimization and search problems. Finally, confirmation test results of experimental MRR are compared using the values of MRR obtained using FEM and ANN. Similarly, the test results of experimental Ra also compared with obtained Ra using ANN.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks

Jampana

Rao

Sampathkumar³

2021

Advances in Materials Science and Engineering

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“…Al. Studied hybrid Powdered Mixed EDM with Aluminium and Multi-Walled Carbon Nano Tube (CNT) powders mixed in kerosene for EN19 alloy steel machining with brass electrode [112].…”

Section: Pmedm Process Variablesmentioning

confidence: 99%

A systematic review on powder mixed electrical discharge machining

Joshi

Joshi²

2019

Heliyon

125

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The advancement in the field of material science has gifted us new electrically conductive materials having good mechanical properties and thermal characteristics. Machining these materials using conventional machining process is a challenging task. Electrical discharge machining (EDM) is a well-established machining process used to manufacture process hard materials having geometrically complex shapes, that are extremely difficult to machine traditionally. EDM is a thermo-electric process in which material is eroded by rapidly recurring sparks between the non-contacted electrode and workpiece. As there is no direct contact between the electrodes in EDM, machining defects like mechanical stresses, clattering & vibration do not create problems during machining. In spite of the advantages of the process, its use in industry is limited owing to poor surface finish and low volumetric material removal. To overcome these drawbacks, the metallic powder is mixed in the dielectric fluid, which increases its conductive strength and increases the spark gap distance between the tool and workpiece. This new evolved material removal process is called Powder Mixed Electrical Discharge Machining (PMEDM). The added powder significantly affects the performance of the EDM process. The objective of this review is to benefit the researchers to understand the PMEDM concept precisely and study the process parameters furthermore in particulars to get enhancements in the process to achieve better quality levels.

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“…Das et al [23] used Si-Cu hybrid powder in kerosene dielectric to machine Ti6Al4 V with a copper tool to give up the conclusion that powder infused dielectric liquids produce enhanced surface features than conventional ones for a wide range of EDC process parameters. Choudhury et al [24] used multi-walled CNT and Al mixed in kerosene (tool: brass) on EN19 steel and concluded that tool wear rate (TWR) and surface roughness (SR) increase if the pair of powders are blended simultaneously. On the other hand, Modi et al [25] used chromium Cr and Al powders mixed in the dielectric fluid to machine Nimonic 80A alloy.…”

Section: Introductionmentioning

confidence: 99%

Selective surface modification of SS304 using hybrid powder-mixed EDC process

Yadav

Mohanty

Dwivedi

et al. 2022

Surface Engineering

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The present study acclaims the influence of hybrid powders (MoS 2 +W) mixed dielectric fluid on the surface properties of SS304 by the electro-discharge coating (or EDC) process. Hard, wear-resistant, and lubricating surfaces are produced using different blending ratios of the powders infused in the dielectric liquid. The combined effect of both powders on the substrate's surface properties is studied. The process performance is evaluated in terms of wear analysis, surface roughness, coefficient of friction, micro-hardness, and compositional study at different peak current and duty factors. The experimental results show an aggregate increment of micro-hardness from 119.3% to 255.2% compared to substrate. The average surface roughness increases (2.69-4.32 μm) with an increase in tungsten content (from 5% to 50%) in the dielectric and decreases with MoS 2 content. The wear test results reveal a substantial decrease in coefficient of friction (COF = 0.104) with maximum concentration of MoS 2 and 0.274 for maximum tungsten.

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Study on the Influence of Hybridized Powder Mixed Dielectric in Electric Discharge Machining of Alloy Steels

Cited by 15 publications

References 13 publications

[Retracted] Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks

[Retracted] Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks

A systematic review on powder mixed electrical discharge machining

Selective surface modification of SS304 using hybrid powder-mixed EDC process

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