Chatter formation during milling due to stochastic noise-induced resonance
Chatter formation during milling due to stochastic noise-induced resonance
In this paper, the stochastic dynamical model of a single-degree-of-freedom milling operation is formulated, where a Gaussian white noise process models the high-frequency variation in the cutting force. With the help of this stochastic model, it is shown, that large-amplitude stable vibrations can occur near the critical machining parameters, due to stochastic noise-induced resonance. During the analysis, the second moment stability and stationary first and second moment behavior of the periodic stochastic delay differential equation (SDDE) describing the milling operation are investigated. The behavior of these quantities are then compared to the evolution of the so-called “chatter peak” in the Fourier-spectrum of the vibrations, that is used to experimentally determine the presence of chatter, in the stable machining parameter domain. Furthermore, it is discussed, how the statistical properties of the resonant vibrations can be used to predict the stability boundary and the formulation of chatter, while the machining parameters are kept in the safe region. The theoretical calculations are supported by experiments performed on a single-degree-of-freedom system.
Milling, Stochastic delay differential equation, Stochastic cutting force, Machine tool vibrations, Time-delay, Chatter detection, Stationary second moment
Sykora, Henrik
e89d4c51-f8bc-4258-a9cc-38f249270757
Hajdu, David
ac5fbe34-1b29-46ae-885c-7e61b9b0f748
Dombovari, Zoltan
bd6aa703-6779-4259-b5ef-b6bbcb40d534
Bachrathy, Daniel
4e64fdc1-02a3-4f95-9e62-f2e825802465
Sykora, Henrik
e89d4c51-f8bc-4258-a9cc-38f249270757
Hajdu, David
ac5fbe34-1b29-46ae-885c-7e61b9b0f748
Dombovari, Zoltan
bd6aa703-6779-4259-b5ef-b6bbcb40d534
Bachrathy, Daniel
4e64fdc1-02a3-4f95-9e62-f2e825802465
Sykora, Henrik, Hajdu, David, Dombovari, Zoltan and Bachrathy, Daniel
(2021)
Chatter formation during milling due to stochastic noise-induced resonance.
Mechanical Systems and Signal Processing, 161, [107987].
(doi:10.1016/j.ymssp.2021.107987).
Abstract
In this paper, the stochastic dynamical model of a single-degree-of-freedom milling operation is formulated, where a Gaussian white noise process models the high-frequency variation in the cutting force. With the help of this stochastic model, it is shown, that large-amplitude stable vibrations can occur near the critical machining parameters, due to stochastic noise-induced resonance. During the analysis, the second moment stability and stationary first and second moment behavior of the periodic stochastic delay differential equation (SDDE) describing the milling operation are investigated. The behavior of these quantities are then compared to the evolution of the so-called “chatter peak” in the Fourier-spectrum of the vibrations, that is used to experimentally determine the presence of chatter, in the stable machining parameter domain. Furthermore, it is discussed, how the statistical properties of the resonant vibrations can be used to predict the stability boundary and the formulation of chatter, while the machining parameters are kept in the safe region. The theoretical calculations are supported by experiments performed on a single-degree-of-freedom system.
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Accepted/In Press date: 19 April 2021
e-pub ahead of print date: 4 May 2021
Keywords:
Milling, Stochastic delay differential equation, Stochastic cutting force, Machine tool vibrations, Time-delay, Chatter detection, Stationary second moment
Identifiers
Local EPrints ID: 470626
URI: http://eprints.soton.ac.uk/id/eprint/470626
ISSN: 0888-3270
PURE UUID: 42a2ab54-2420-4dcb-8e98-d0ebd3aab782
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Date deposited: 14 Oct 2022 16:55
Last modified: 16 Mar 2024 22:24
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Contributors
Author:
Henrik Sykora
Author:
David Hajdu
Author:
Zoltan Dombovari
Author:
Daniel Bachrathy
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