In contrast to the well-established stability prediction tools, a robust real-time stability indicator is proposed for micromilling process, and it opens the possibility of online chatter avoidance based on successful detection. In this paper, a robust and easy-to-compute stability indicator is presented. This approach exploits the virtue of a stable milling process—the displacement of the vibrating tool repeats with a period of tooth passing. It has been observed that the standard deviation of the tool displacement sampled at once per tooth passing frequency is indicative of chatter, where a low standard deviation coincides with stable cutting. An increase in standard deviation is the direct consequence of an increase in asynchronous motion of the tool, coinciding with chatter. As it is also well known, this asynchronous vibration of the tool results in distinct marks on the workpiece surface. This paper presents the experimental validation of this real-time stability indicator. The ease of implementation makes the presented stability indicator a strong candidate for applications in chatter avoidance based on detection. The results are also verified against the standard stability prediction method.
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March 2019
This article was originally published in
Journal of Micro and Nano-Manufacturing
Research-Article
A Real-Time Stability Indicator for Micromilling: An Experimental Validation
Shashwat Kushwaha,
Shashwat Kushwaha
Department of Mechanical Engineering,
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: shashwat.kushwaha@kuleuven.be
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: shashwat.kushwaha@kuleuven.be
1Corresponding author.
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Benjamin Gorissen,
Benjamin Gorissen
Department of Mechanical Engineering,
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: benjamin.gorissen@kuleuven.be
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: benjamin.gorissen@kuleuven.be
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Jun Qian,
Jun Qian
Department of Mechanical Engineering,
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: jun.qian@kuleuven.be
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: jun.qian@kuleuven.be
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Dominiek Reynaerts
Dominiek Reynaerts
Department of Mechanical Engineering,
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: dominiek.reynaerts@kuleuven.be
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: dominiek.reynaerts@kuleuven.be
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Shashwat Kushwaha
Department of Mechanical Engineering,
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: shashwat.kushwaha@kuleuven.be
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: shashwat.kushwaha@kuleuven.be
Benjamin Gorissen
Department of Mechanical Engineering,
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: benjamin.gorissen@kuleuven.be
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: benjamin.gorissen@kuleuven.be
Jun Qian
Department of Mechanical Engineering,
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: jun.qian@kuleuven.be
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: jun.qian@kuleuven.be
Dominiek Reynaerts
Department of Mechanical Engineering,
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: dominiek.reynaerts@kuleuven.be
KU Leuven,
Celestijnenlaan 300,
Leuven 3001, Belgium
e-mail: dominiek.reynaerts@kuleuven.be
1Corresponding author.
Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MICRO-AND NANO-MANUFACTURING. Manuscript received November 15, 2018; final manuscript received March 18, 2019; published online April 11, 2019. Assoc. Editor: Lawrence Kulinsky.
J. Micro Nano-Manuf. Mar 2019, 7(1): 010908 (6 pages)
Published Online: April 11, 2019
Article history
Received:
November 15, 2018
Revised:
March 18, 2019
Citation
Kushwaha, S., Gorissen, B., Qian, J., and Reynaerts, D. (April 11, 2019). "A Real-Time Stability Indicator for Micromilling: An Experimental Validation." ASME. J. Micro Nano-Manuf. March 2019; 7(1): 010908. https://doi.org/10.1115/1.4043275
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