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Applied Sciences
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Friction and Impact-Induced Vibration
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Friction and Impact-Induced Vibration

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 14471

Special Issue Editor

Prof. Dr. Jaeyoung Kang

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Inha University, Incheon 22212, Korea
Interests: squeak and rattle noise; complex eigenvalue analysis; recurrence analysis; chaos analysis; deep learning; uncertainty and stochastic analysis

Special Issue Information

Dear Colleagues,

Friction and impact-induced vibration, which is also known as squeak and rattle, has been one of the important claim issues in the automotive and home appliance industry. Throughout several decades, the causes for friction-induced vibration have been found to be mode-coupling, negative friction-slope, and sprag instability through the complex eigenvalue analysis for the linearized friction-engaged system. By contrast, the vibro-impact problem has been widely studied using nonlinear analysis. Owing to the non-smooth nature of friction and impact, both problems are major subjects in nonlinear vibration analysis. Several approaches such as recurrence analysis and chaos analysis have been implemented to quantify its dynamic characteristics.

In this Special Issue, we will provide a broad range of research from experimental results to theoretical linear and nonlinear derivations for both friction and impact-induced vibration and noise. We are pleased to invite researchers who are specialized in this field and willing to contribute their work. New approaches quantifying the friction and impact-induced vibration are particularly welcome in this Special Issue.

Prof. Dr. Jaeyoung Kang
Guest Editor

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Keywords

  • Vibration
  • Friction
  • Impact
  • Mode-coupling
  • Stick-slip
  • Chaos
  • Rattle
  • Squeal

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Published Papers (6 papers)

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Research

32 pages, 6022 KiB  
Article
On the Effect of Friction on Tibiofemoral Joint Kinematics
by Ehsan Askari and Michael S. Andersen
Appl. Sci. 2021, 11(16), 7516; https://doi.org/10.3390/app11167516 - 16 Aug 2021
Cited by 5 | Viewed by 2738
Abstract
The effect of friction on nonlinear dynamics and vibration of total knee arthroplasties is yet to be investigated and understood. This research work aims at studying the influence of friction on nonlinear dynamics, friction-induced vibration, and damage of tibiofemoral joints. For this purpose, [...] Read more.
The effect of friction on nonlinear dynamics and vibration of total knee arthroplasties is yet to be investigated and understood. This research work aims at studying the influence of friction on nonlinear dynamics, friction-induced vibration, and damage of tibiofemoral joints. For this purpose, a spatial dynamic knee model is developed using an asymmetric nonlinear elastic model accounting for knee joint ligaments and a penalty contact model to compute normal contact stresses in the joint while contact detection is treated such that the associated computational time is reduced. Several friction models are considered and embedded in the dynamic model to estimate tangential friction forces in the knee joint. External loads and moments, due to the presence of all soft tissues, e.g., muscles and hip-joint reaction forces, applied to the femoral bone are determined using a musculoskeletal approach. In the post-processing stage, damage, i.e., wear and creep, are estimated using three wear models and an empirical creep formulation, respectively. In addition, a FFT analysis is performed to evaluate likely friction-induced vibration of tibiofemoral joints. Mesh density analysis is performed and the methodology is assessed against outcomes available in the literature. It can be concluded that friction influences not only the tribology, but also dynamics of the knee joint, and friction-induced vibration is likely to take place when the friction coefficient increases. Full article
(This article belongs to the Special Issue Friction and Impact-Induced Vibration)
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10 pages, 3166 KiB  
Article
The Feature Extraction through Wavelet Coefficients of Metal Friction Noise for Adhesive and Abrasive Wear Monitoring
by Yeonuk Seong, Donghyeon Lee, Jihye Yeom and Junhong Park
Appl. Sci. 2021, 11(9), 3755; https://doi.org/10.3390/app11093755 - 21 Apr 2021
Cited by 2 | Viewed by 1715
Abstract
Friction between metals is a physical phenomenon that occurs in manufacturing machine tools. This annoying noise implies unnecessary metal contact and deterioration of a mechanical system. In this study, for the monitoring of the friction between two metal surfaces, the acoustic signature was [...] Read more.
Friction between metals is a physical phenomenon that occurs in manufacturing machine tools. This annoying noise implies unnecessary metal contact and deterioration of a mechanical system. In this study, for the monitoring of the friction between two metal surfaces, the acoustic signature was extracted by applying the wavelet transform method to the noise measured from the change in contact force for each state of adhesive and abrasive wear. Experiments were conducted with a constant relative speed between the contacting metal surfaces. For the adhesive wear, the peak signal-to-noise ratio (PSNR) calculated by the wavelet transformation increases with the increasing contact pressure. Opposite trends were observed for the abrasive wear. The proposed index formed a group within a specific range. This ratio exhibited a strong relationship with the wear characteristics and the surface condition. From the proposed index calculated by the wavelet coefficients, the continuous monitoring of the wear influence on the failure of the machine movement operations is achieved by the sound radiation from the contacting surfaces. Full article
(This article belongs to the Special Issue Friction and Impact-Induced Vibration)
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20 pages, 5160 KiB  
Article
Local Sensitivity Analysis of Steady-State Response of Rotors with Rub-Impact to Parameters of Rubbing Interfaces
by Minghong Jiang, Zhaoli Zheng, Yonghui Xie and Di Zhang
Appl. Sci. 2021, 11(3), 1307; https://doi.org/10.3390/app11031307 - 1 Feb 2021
Cited by 5 | Viewed by 1877
Abstract
Local sensitivity analysis, which describes the relative importance of specific design parameters to the response of systems, is crucial for investigating dominant factors in optimal design. In this paper, local sensitivity analysis of the response of rotors with rub-impact to parameters of rubbing [...] Read more.
Local sensitivity analysis, which describes the relative importance of specific design parameters to the response of systems, is crucial for investigating dominant factors in optimal design. In this paper, local sensitivity analysis of the response of rotors with rub-impact to parameters of rubbing interfaces is carried out. The steady-state motion of the rotor is evaluated by a harmonic balance method and the sensitivity coefficients for every rotation speed over the speed range are derived analytically. Two classical models, including the Duffing oscillator and the gap model, are utilized to validate the accuracy and capability of the adopted methods and high accuracy is shown. Numerical investigations of sensitivities of steady-state response of rotors to parameters of rubbing interfaces are then carried out, based on a lumped Jeffcott rotor and a finite element model respectively. Conclusions are drawn that the response of rotors subjected to rubbing problems is more sensitive to initial clearance than other parameters of the applied friction model. With increase of initial gap, the response of rotors becomes more sensitive and the range of region subjected to rub-impact forces shrinks until the separation of rotor and stator. Full article
(This article belongs to the Special Issue Friction and Impact-Induced Vibration)
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14 pages, 5738 KiB  
Article
Classification of Chaotic Signals of the Recurrence Matrix Using a Convolutional Neural Network and Verification through the Lyapunov Exponent
by Jaehyeon Nam and Jaeyoung Kang
Appl. Sci. 2021, 11(1), 77; https://doi.org/10.3390/app11010077 - 24 Dec 2020
Cited by 10 | Viewed by 2467
Abstract
This study classified chaotic time series data, including smooth and nonsmooth problems in a dynamic system, using a convolutional neural network (CNN) and verified it through the Lyapunov exponent. For this, the classical nonlinear differential equation by the Lorenz model was used to [...] Read more.
This study classified chaotic time series data, including smooth and nonsmooth problems in a dynamic system, using a convolutional neural network (CNN) and verified it through the Lyapunov exponent. For this, the classical nonlinear differential equation by the Lorenz model was used to analyze a smooth dynamic system. The vibro-impact model was used for the nonsmooth dynamic system. Recurrence is a fundamental property of a dynamic system, and a recurrence plot is a representative method to visualize the recurrence characteristics of reconstructed phase space. Therefore, this study calculated the Lyapunov exponent by parametric analysis and visualized the corresponding recurrence matrix to show the dynamic characteristics as an image. In addition, the dynamic characteristics were classified using the proposed CNN model. The proposed CNN model determined chaos with an accuracy of more than 92%. Full article
(This article belongs to the Special Issue Friction and Impact-Induced Vibration)
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29 pages, 2069 KiB  
Article
Driving Safety Improved with Control of Magnetorheological Dampers in Vehicle Suspension
by Piotr Krauze and Jerzy Kasprzyk
Appl. Sci. 2020, 10(24), 8892; https://doi.org/10.3390/app10248892 - 12 Dec 2020
Cited by 11 | Viewed by 2758
Abstract
The article is dedicated to the control of magnetorheological dampers (MR) included in a semi-active suspension of an all-terrain vehicle moving along a rough road profile. The simulation results of a half-car model and selected feedback vibration control algorithms are presented and analysed [...] Read more.
The article is dedicated to the control of magnetorheological dampers (MR) included in a semi-active suspension of an all-terrain vehicle moving along a rough road profile. The simulation results of a half-car model and selected feedback vibration control algorithms are presented and analysed with respect to the improvement of driving safety features, such as road holding and vehicle handling. Constant control currents correspond to the passive suspension of different damping parameters. Independent Skyhook control of suspension parts represents the robust and widely used semi-active algorithm. Furthermore, its extension allows for the control of vehicle body heave and pitch vibration modes. Tests of the algorithms are carried out for a vehicle model that is synthesised with particular emphasis on mapping different phenomena occurring in a moving vehicle. The coupling of the vehicle to the road and environment is described by non-linear tire-road friction, rolling resistance, and aerodynamic drag. The pitching behaviour of the vehicle body, as well as the deflection of the suspension, is described by a suspension sub-model that exhibits four degrees of freedom. Further, three degrees of freedom of the complete model describe longitudinal movement of the vehicle and angular motion of its wheels. The MR damper model that is based on hyperbolic tangent function is favoured for describing the key phenomena of the MR damper behaviour, including non-linear shape and force saturation that are represented by force-velocity characteristics. The applied simulation environment is used for the evaluation of different semi-active control algorithms supported by an inverse MR damper model. The vehicle model is subjected to vibration excitation that is induced by road irregularities and road manoeuvres, such as accelerating and braking. The implemented control algorithms and different configurations of passive suspension are compared while using driving-safety-related quality indices. Full article
(This article belongs to the Special Issue Friction and Impact-Induced Vibration)
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17 pages, 1661 KiB  
Article
Prediction of Squeal Noise Based on Multiresolution Signal Decomposition and Wavelet Representation—Application to FEM Brake Systems Subjected to Friction-Induced Vibration
by Grégoire Corradi, Jean-Jacques Sinou and Sébastien Besset
Appl. Sci. 2020, 10(21), 7418; https://doi.org/10.3390/app10217418 - 22 Oct 2020
Cited by 4 | Viewed by 1851
Abstract
This paper is devoted to discussion of the efficiency of reduced models based on a Double Modal Synthesis method that combines a classical modal reduction and a condensation at the frictional interfaces by computing a reduced complex mode basis, for the prediction of [...] Read more.
This paper is devoted to discussion of the efficiency of reduced models based on a Double Modal Synthesis method that combines a classical modal reduction and a condensation at the frictional interfaces by computing a reduced complex mode basis, for the prediction of squeal noise of mechanical systems subjected to friction-induced vibration. More specifically, the use of the multiresolution signal decomposition of acoustic radiation and wavelet representation will be proposed to analyze details of a pattern on different observation scales ranging from the pixel to the size of the complete acoustic pattern. Based on this approach and the definition of specific resulting criteria, it is possible to quantify the differences in the representation of the acoustic fields for different reduced models and thus to perform convergence studies for different scales of representation in order to evaluate the potential of reduced models. The effectiveness of the proposed approach is tested on the finite element model of a simplified brake system that is composed of a disc and two pads. The contact is modeled by introducing contact elements at the two friction interfaces with the classical Coulomb law and a constant friction coefficient. It is demonstrated that the new proposed criteria, based on multiresolution signal decomposition, allow us to provide satisfactory results for the choice of an efficient reduced model for predicting acoustic radiation due to squeal noise. Full article
(This article belongs to the Special Issue Friction and Impact-Induced Vibration)
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