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The International Journal of Advanced Manufacturing Technology

Erschienen in:

29.06.2021 | ORIGINAL ARTICLE

Optimization of MQL turning process considering the distribution and control of cutting fluid mist particles

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 3-4/2021

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Abstract

This paper presents the effect of cutting parameters on the mist particle diameters under the minimum quantity lubrication (MQL) for reducing the air pollution and harm to operators caused by the mist particles produced during the MQL process. In this study, turning experiments were conducted on AISI 304 stainless steel using MQL, for which 16 groups of Taguchi experiments were utilized. The results show that by using the MQL, the contribution rates of the cutting speed and air pressure to the mist particle diameters were 54.62% and 25.34%, respectively. The increase in air pressure caused an increase in the overall proportion of mist particles with diameters in the range of 2.5~10 μm, from 88 up to 96%. The increase in cutting speed aided the conversion of mist particles with a diameter in the range of 2.5~10 μm to a diameter of 2.5 μm, about 16 to 27% of the 2.5~10 μm. However, the overall proportion of the mist particles was not changed. Finally, by targeting the cutting efficiency, surface roughness, and deposition of the cutting fluid mist, the four parameters were optimized using a multi-objective optimization algorithm. Compared to the 14th group experiment with a similar cutting efficiency, the verification experiment results show that the surface roughness decreased 16% and the deposition of cutting fluid mist increased 173% by using the optimized parameters.

Vorheriger Artikel Effect of pulsed powder ultrasound on plasma morphology and its changing mechanism

Nächster Artikel Predicting the ultimate tensile strength of AISI 1045 steel and 2017-T4 aluminum alloy joints in a laser-assisted rotary friction welding process using machine learning: a comparison with response surface methodology

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Titel: Optimization of MQL turning process considering the distribution and control of cutting fluid mist particles
Publikationsdatum: 29.06.2021
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 3-4/2021
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-021-07480-x

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