SURFACE ROUGHNESS MODELING DURING ELECTRIC DISCHARGE GRINDING WITH VARIABLE POLARITY OF ELECTRODES

Authors

DOI:

https://doi.org/10.20998/2078-7405.2021.94.09

Keywords:

spatial position of erosion pits, statistical dimensions, roughness parameters, electrical modes

Abstract

The article presents the probabilistic-statistical modeling of surface roughness in the process of electric discharge grinding with the variable polarity of electrodes. The correlation between electric modes of machining and indicators of the quality of the machined surface was established. A probabilistic-statistical model of part surface roughness formed during grinding is obtained, which establishes the correlation between high-altitude surface parameters and electrical machining modes. The developed model makes it possible to calculate the height parameters of the part roughness depending on the electrical modes of grinding. The height of microroughness is determined by the same machining conditions as the depth of erosion pits. It is possible to obtain low roughness if electrical machining modes are reduced.

Author Biography

Strelchuk Roman, National Technical University "Kharkiv Polytechnic Institute", Kharkiv

Cand.  Tech.  Science, Associate Professor, Doctoral Student of the Department "Integrated Technologies of Mechanical Engineering named after MF Semko", National Technical University "Kharkiv Polytechnic Institute", Kharkiv, Ukraine

References

Strelchuk R.M., Uzunian M.D. Sposib elektroeroziinoho almaznoho shlifuvannia zi zminnoiu poliarnistiu elektrodiv, Patent UA, no. 131894, 2019

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D’Urso, G., Maccarini, G., Ravasio, C. Influence of electrode material in micro-EDM drilling of stainless steel and tungsten carbide // Int J. Adv. Manuf. Technol. 85, pp. 2013–2025 (2016)

Giridharan, A., Samuel, G. Investigation into erosion rate of AISI 4340 steel during wire electrical discharge turning process // Machining Science and Technology, pp. 287–298, (2018)

R.Andreani, G.Haeser, J.M.Martínez // On sequential optimality conditions for smooth constrained optimization, Optimization 60 (2011), pp. 627–641

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Published

2021-06-16

Issue

No. 94 (2021): Cutting and Tools in Technological Systems

Section

Mechanical processing of materials, the theory of cutting materials, mathematical and computer simulation of machining p

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