Options
Numerical and experimental analysis of the bi-stable state for frictional continuous system
Citation Link: https://doi.org/10.15480/882.3103
Publikationstyp
Journal Article
Date Issued
2020-10-26
Sprache
English
Author(s)
Institut
TORE-DOI
TORE-URI
Journal
Volume
102
Issue
3
Start Page
1361
End Page
1374
Citation
Nonlinear Dynamics 3 (102): 1361-1374 (2020)
Publisher DOI
Scopus ID
Publisher
Springer Science + Business Media B.V
Unstable friction-induced vibrations are considered an annoying problem in several fields of engineering. Although several theoretical analyses have suggested that friction-excited dynamical systems may experience sub-critical bifurcations, and show multiple coexisting stable solutions, these phenomena need to be proved experimentally and on continuous systems. The present work aims to partially fill this gap. The dynamical response of a continuous system subjected to frictional excitation is investigated. The frictional system is constituted of a 3D printed oscillator, obtained by additive manufacturing that slides against a disc rotating at a prescribed velocity. Both a finite element model and an experimental setup has been developed. It is shown both numerically and experimentally that in a certain range of the imposed sliding velocity the oscillator has two stable states, i.e. steady sliding and stick–slip oscillations. Furthermore, it is possible to jump from one state to the other by introducing an external perturbation. A parametric analysis is also presented, with respect to the main parameters influencing the nonlinear dynamic response, to determine the interval of sliding velocity where the oscillator presents the two stable solutions, i.e. steady sliding and stick–slip limit cycle.
Subjects
Bi-stable state
Experiments
Finite element model
Frictional system
Nonlinear behaviour
DDC Class
600: Technik
More Funding Information
Open access funding provided by Universita` degli Studi di Roma La Sapienza within the CRUI-CARE Agreement. Universita` degli Studi di Roma La Sapienza within the CRUICARE Agreement. This study was partially founded by the
project no. RM11916B4695CF24, from the Sapienza University of Rome. A. Papangelo acknowledges the support by the Italian Ministry of Education, University and Research under the Programme ‘‘Department of Excellence’’ Legge 232/2016 (Grant No. CUP -D94I18000260001). A. Papangelo is thankful to the DFG (German Research Foundation) for
funding the project PA 3303/11. A. Papangelo acknowledges the support from’’PON Ricerca e Innovazione 2014-2020 -
Azione I.2 - D.D. n. 407, 27/02/2018, bando AIM (Grant No. AIM1895471).
project no. RM11916B4695CF24, from the Sapienza University of Rome. A. Papangelo acknowledges the support by the Italian Ministry of Education, University and Research under the Programme ‘‘Department of Excellence’’ Legge 232/2016 (Grant No. CUP -D94I18000260001). A. Papangelo is thankful to the DFG (German Research Foundation) for
funding the project PA 3303/11. A. Papangelo acknowledges the support from’’PON Ricerca e Innovazione 2014-2020 -
Azione I.2 - D.D. n. 407, 27/02/2018, bando AIM (Grant No. AIM1895471).
Publication version
publishedVersion
Loading...
Name
Tonazzi2020_Article_NumericalAndExperimentalAnalys.pdf
Size
2.15 MB
Format
Adobe PDF