A study on ultrasonic-assisted micro-EDM of titanium alloy
A study on ultrasonic-assisted micro-EDM of titanium alloy
复制标题
超声辅助钛合金微细电火花加工研究
DOI:
10.1007/s00170-022-09355-1
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发表时间:
2022-06
期刊:
影响因子:
--
通讯作者:
Menglong Li
中科院分区:
文献类型:
--
作者:
Pengxiang Wang;Daguo Yu;Menglong Li
Titanium alloy is widely used in high-precision fields such as aerospace industries and medical equipment because of its corrosion resistance and heat resistance. In conventional micro-EDM, the machining of small deep holes of difficult-to-cut materials has always been a problem due to difficult waste debris discharge and low machining efficiency when the machined aperture is small and the aspect ratio is large. Based on the above shortcomings, the high-frequency ultrasonic vibration was introduced into micro-EDM to improve processability. And the optimal ultrasonic system was designed on analytical calculation, finite element simulation, impedance test, and error analysis. The system was applied to SE-WK008 microporous machine for titanium alloy drilling test, and the univariate control experiment based on ultrasonic parameters and electrical parameters (processing voltage, pulse width, pulse interval, and peak current) was carried out. The influence law of each parameter on processing efficiency and electrode wear was summarized and the experimental data was fitted with polynomial curves, and then the multi-objective particle swarm optimization (MOPSO) algorithm was used to find out the optimal parameter array to verify the correctness of the selected processing parameter group. Through experimental analysis, the designed ultrasonic system can be applied to the traditional microporous machine, the highest processing efficiency is increased by 82.7%, and the maximum electrode wear is reduced by 68.7%, which points out the direction for the parameter selection of actual small deep hole machining.
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影响因子:
2.9
作者:
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通讯作者:
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DOI:
10.1007/s00170-020-06357-9
发表时间:
2020-11-16
影响因子:
3.4
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DOI:
10.1007/s00170-017-1051-1
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期刊:
The International Journal of Advanced Manufacturing Technology
影响因子:
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通讯作者:
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DOI:
10.1177/09544054211028527
发表时间:
2021-07
期刊:
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
影响因子:
--
作者:
Yinghuai Dong;G. Li;Yan Wang;Jianbao Song;Shuo Yang;Haiyang Yu
通讯作者:
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2.7
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