2015
DOI: 10.1007/s12206-015-0808-4
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Stochastic modeling of friction force and vibration analysis of a mechanical system using the model

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Cited by 10 publications
(6 citation statements)
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“…Currently, research on friction modeling has a history of hundreds of years, and dozens of friction models have been proposed. Depending on whether the friction phenomenon is described by differential equations, friction models can be roughly divided into two categories: static and dynamic [20].…”
Section: Friction Modelmentioning
confidence: 99%
“…Currently, research on friction modeling has a history of hundreds of years, and dozens of friction models have been proposed. Depending on whether the friction phenomenon is described by differential equations, friction models can be roughly divided into two categories: static and dynamic [20].…”
Section: Friction Modelmentioning
confidence: 99%
“…Friction coefficient model. The friction coefficient of the system is variable in different working conditions, 4 The negative slope law of friction coefficient and relative velocity [5][6][7][8][9][10][11][12][13][14][15][16][17] implies that the dynamic friction coefficient is directly affected by slip velocity. This paper defines the fitting equation of friction coefficient as,…”
Section: Wiper Reversal Dynamics Modelmentioning
confidence: 99%
“…Ido et al 6 experimentally explored the influence of rubber surface topography on sliding frictional characteristics by using some rubber samples with different viscoelasticity, and concluded that friction coefficient is positively correlated with the surface roughness. Kang et al 7 set up a random parameter model of friction coefficient varying with the environment to replace the single-value friction coefficient, and verified the feasibility of the model by experiment. Min et al 8 studied the relationship between the friction coefficient and the vibration induced noise through experimental analysis of the wiper-windscreen system in microscopic glass waviness, and proposed a new blade structure to reduce noise.…”
Section: Introductionmentioning
confidence: 99%
“…In general, random friction modelling involves treating COF as random variables [6,7,8,9,10,11,12,13], a stochastic process [14,15] or a random field [10,16,17,18,19] in the literature. For modelling COF as a random variable, Antonio et al [6] studied the occurrence of squeal instability of a brake system, modelling the COF as random variables with the lognormal distribution.…”
Section: Introductionmentioning
confidence: 99%
“…Nechak et al [9] proposed the Multi-Element Legendre Polynomial Chaos Method in dealing with the prediction of long time self frictioninduced vibrations, and the friction coefficient involved was modelled as a uniform random variable. Kang et al [11] performed a stochastic analysis of a mechanical system by characterizing the frictional parameters using experimental statistical data. Nobari et al [12] investigated the mode-coupling instability in brake systems by conducting complex eigenvalue analysis.…”
Section: Introductionmentioning
confidence: 99%