A thermo-electric model of material removal during electric discharge machining

Singh, Ajit Pal; Ghosh, Amitabha

doi:10.1016/s0890-6955(98)00047-9

Cited by 137 publications

(67 citation statements)

References 4 publications

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“…Fig. 3 indicates simulated nano-crater radius versus spark pulse duration as well as the results of practical experiments of the Nano-EDM process done by the [3]. It can be seen that the simulation results are highly consistent with the experimental results.…”

Section: Resultssupporting

confidence: 63%

“…If h s and T m are respectively considered as reference enthalpy and temperature, then specific enthalpy is calculated through (3).…”

Section: Simulation Of Spark Nanomachining Processmentioning

confidence: 99%

“…According to practical experiments of the spark nanomachining process which have been tested by [3], it is assumed that the workpiece is a gold nano-film which is prepared by sputter coating on a silicon substrate. Table I indicates gold and silicon properties.…”

Section: A Assumptionsmentioning

confidence: 99%

“…A theoretical model for crater on the anode surface in the EDM process was reported by Patel [2]. Singh conventional EDM process [3]. Das developed a finite element-based simulation for calculation of deformation in the EDM process [4].…”

Section: Introductionmentioning

confidence: 99%

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Electro-Spark Nanomachining Process Simulation

Pour¹,

Pour²,

Ghoreishi³

2014

IJMMM

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Abstract-ElectricalDischarge/Spark Machining (EDM/ESM) is an advanced machining process that has various applications in macro and micro fabrication. Advantages and intrinsic potentials of the process is promising application of this process in nanofabrication. The spark nanomachining is a precise, sensitive and costly process. Therefore, simulation of nano-hole produced by each spark in this process prevents spending extra time and cost to perform spark nanomachining process through trial and error method. In this paper nano-hole machined by the spark nanomachining process on a gold nano-film is simulated under practically experimental conditions. Radius, depth and volume of the nano-hole are evaluated versus process conditions. It is observed that radius of the nano-hole is increased exponentially with increasing spark pulse duration. Also, depth, volume of the removed material from the workpiece surface and material removal rate (MRR) are increased with increasing consumed energy by each spark.

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Section: Resultssupporting

confidence: 63%

“…If h s and T m are respectively considered as reference enthalpy and temperature, then specific enthalpy is calculated through (3).…”

Section: Simulation Of Spark Nanomachining Processmentioning

confidence: 99%

Section: A Assumptionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Electro-Spark Nanomachining Process Simulation

Pour¹,

Pour²,

Ghoreishi³

2014

IJMMM

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“…This mechanical process can be produced by different sources such as cracks, plastic deformation, rubbing, cavitations, and leakage. 19 These surface and inner displacement can be detected by AE sensor, and then the mechanical signals can be transformed into the electrical ones which are amplified and processed, as described by SJ Li and D Cui. 20 However, ST Jilani and PC Pandey 21 found that there are many other factors that can cause AEs during the machining process in WEDM-LS, such as the surge pressure when there is a dielectric breakdown, pressure variation because of the appearance of bubbles in the plasma channel or caused by the vibration of plasma, and pressure waves given out during the workpiece material removal process.…”

Section: Introductionmentioning

confidence: 99%

Formation mechanism of surface topography in low-speed wire electrical discharge machining Inconel 718 and its on-line prediction based on acoustic emission technology

Wang

Yang

et al. 2017

Advances in Mechanical Engineering

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The mechanism of surface topography formation of Inconel 718 in low-speed wire electrical discharge machining was studied, and its on-line prediction based on acoustic emission detection technology is carried out. An optimized truncated cone-shaped thermal conduction model considering the scattering velocity difference between electrons and ions was put forward. Based on this model, discharge craters and temperature variation at different discharge energy conditions were systematically discussed in finite element analysis. Experimentally, five machining regimes that are reduced in accordance with the discharge energy were conducted with acoustic emission detection technology in low-speed wire electrical discharge machining. A novel denoising method has been proposed, which combines filtering analysis and Fast Fourier Transform. The experimental results indicate that acoustic emission testing technique provides great technical support in researching the discharge energy variation rule in low-speed wire electrical discharge machining. It is also concluded that the change trends of the theoretically calculated temperature in the discharge channel and acoustic emission signal root mean square and the surface roughness value and the acoustic emission signal root mean square show a similar exponential growth law. A regression equation about the arithmetic mean roughness (R a ) values and root mean square values of acoustic emission is established to predict surface roughness value R a whose error is less than 1%.

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