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Experimental Investigation and Modeling of Surface Finish in Argon-Assisted Electrical Discharge Machining Using Dimensional Analysis

  • Research Article - Mechanical Engineering
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Abstract

This study investigates the use of argon gas-assisted electrical discharge machining (AGAEDM) of high carbon high chromium die steel. Compressed argon gas in die-sinking EDM under controlled conditions was used to evaluate the surface roughness (SR). The influence of process parameters, viz., discharge current, pulse-on time, duty cycle, tool rotation, and discharge gas pressure, on SR has been investigated as well. Analysis of variance was applied to determine the significant factors affecting SR. In the course of this investigation, a semi-empirical model has been developed to determine SR through dimensional analysis while applying the AGAEDM process. The experimental and predicted values, gathered through the semi-empirical model, have been found to be in accord with each other. The mean error between the predicted and the experimental values was less than 5%. A comparison was performed between the RSM and semi-empirical models. The semi-empirical model was found to predict responses most precisely as compared to RSM model. In this connection, surface morphology analysis has also been done by using a scanning electron microscope in the machined specimens. The energy-dispersive X-ray and X-ray diffraction examination were used to study the relocation of different elements and development of compounds on the surface of the machined specimen.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Hindustan College of Science and Technology, Mathura, India

    Nishant K. Singh

  2. Department of Mechanical Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India

    Yashvir Singh

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  1. Nishant K. Singh
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  2. Yashvir Singh
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Correspondence to Nishant K. Singh.

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Singh, N.K., Singh, Y. Experimental Investigation and Modeling of Surface Finish in Argon-Assisted Electrical Discharge Machining Using Dimensional Analysis. Arab J Sci Eng 44, 5839–5850 (2019). https://doi.org/10.1007/s13369-019-03738-5

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  • DOI: https://doi.org/10.1007/s13369-019-03738-5

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