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Study on discharge point distribution of finishing in high-speed wire electrical discharge machine based on potential difference method

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Abstract

In order to improve the processing stability of high-speed wire electrical discharge machine (HS-WEDM), a new system for on-line monitoring discharge point distribution based on potential difference method was presented. Detecting discharge point distribution is a key aspect of the stable processing in HS-WEDM. When the discharge point distribution is concentrated, it is easy to cause the arc discharge, which damages the surface accuracy of workpiece and reduces the processing efficiency. In the proposed system, the voltage data processing was done using Labview and Matlab based on PC. Through the calibration experiment, the fitted line was obtained by least squares method to determine the position of discharge point on workpiece, whose maximum nonlinear error is less than 1%. Meanwhile, the method of simple regional partition was applied to the evaluation system of discharge point to evaluate the distribution of discharge point. It can evaluate the overall distribution of discharge point, but also get the distribution of discharge point in each region. In test experiments, Cr12MoV material was machined with molybdenum wire. The proposed system of discharge point was successfully used to determine the position of discharge point and evaluate the distribution of discharge point in different processing media. In addition, the effect of processing parameters, such as pulse duration, peak current, worktable feed, offset, pulse interval ratio and workpiece thickness on the uniformity of discharge point distribution, surface roughness, cutting speed, and actual depth of cut in water mist, was also analyzed.

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Funding

This study is supported by National Natural Science Foundation of China (50975069).

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Correspondence to Junqi Wang.

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Wu, H., Wang, T. & Wang, J. Study on discharge point distribution of finishing in high-speed wire electrical discharge machine based on potential difference method. Int J Adv Manuf Technol 118, 155–172 (2022). https://doi.org/10.1007/s00170-021-07942-2

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  • DOI: https://doi.org/10.1007/s00170-021-07942-2

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