Complex Eigenvalue Analysis of Windscreen Wiper Chatter Noise and its Suppression by Structural Modifications

Awang, I. M.; AbuBakar, Abd Rahim; Ghani, Badri Abd; Rahman, Roslan Abd.; Zain, Mohd

doi:10.4273/ijvss.1.1-3.03

Cited by 8 publications

(5 citation statements)

References 8 publications

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“…Sugita and Yabuno 7 attempted to clarify the dynamic behaviour of the wiper blade during reversal motion using both a theoretical approach and an experimental approach. Awang et al 8 performed a complex eigenvalue analysis of wiper blade to examine the wiper chattering noise phenomenon. To predict flutter instabilities due to the coupling between the rubber blade and the glass, Chevennement-Roux et al 9 proposed a method for wiper system modelling based on modal synthesis methods.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the contact force distribution and dynamic behaviour of an automobile windshield wiper blade system

Lee

Kim

Sung

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part D:

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The structural behaviour of a windshield wiper system and the dynamic behaviour of the wiper rubber blade are investigated using finite element analysis. Non-linear contact analysis was performed to examine the influences of the structural design variables such as the curvature of the primary beam, the thickness of the yoke, the rotational angle of the yoke and the thickness of the steel beam on the distribution of the contact force along the blade length, and the effects of the vertical load and the coefficient of friction on the vibrational behaviour of the blade were investigated using transient dynamic analysis. Experimental validation was conducted by measuring the contact force distribution and the vibrational behaviour of the rubber blade. The experimental data and the simulated results show good agreement. The contact force distribution is sensitive to changes in the primary beam’s curvature, the yoke’s rotational angle and the steel beam’s thickness. The vertical load and the coefficient of friction both have significant influences on the vibrational behaviour of the rubber blade. It is found that the proper combination of the variables investigated allows a more uniform contact force distribution and less vibration and thereby improves the performance of the wiper blade. These analyses demonstrate the variables that influence the wiper blade behaviour and should provide key insight into means for improving the wiper performance.

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Section: Introductionmentioning

confidence: 99%

Investigation of the contact force distribution and dynamic behaviour of an automobile windshield wiper blade system

Lee

Kim

Sung

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part D:

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show abstract

“…The running noise is an impact sound with a frequency of 600 Hz and less than 100 Hz [7]. The most annoying noise is squeal noise [8], a high frequency vibration of about 1000 Hz occurred during rising of the wiper [9] [10].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Behaviour and Characteristics of Rubber Blade Car Performance

Mohamad

Othman

Sharif

et al. 2019

IJAME

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High technologies have helped so much in improving an optimizing the engine design and performance of the car. Improved isolation has helped to minimize the engine noise making other automotive part noises become more detectable. One of the noise sources are the wipers. When a wiper operates on a windshield, vibratory phenomena may appear due to flutter instabilities and may generate squeal noise. In order to obtain good wiping behaviour and characteristics, the rubber blade should be in complete contact with the glass and under uniform contact pressure while not generating vibration as it moves over the glass. A good wiping performance can be achieved by a proper design of the wiper structure as well as a good understanding of the mechanical behaviour of the rubber blade. The primary objective of this research is to investigate the dynamic behaviour and characteristics of rubber wiper blade performance in order to reduce the automotive windscreen wiper noise and vibration effects. In order to achieve the objective of this research, two types of wiper is used. One is hybrid type and second is conventional type. Then the behavior of wiper can be investigated. The force resistive sensor is used to measure the force distribution exerted on the windshield for the characteristics wiper noise for specific points. The obtain vibration data is processed by single-board microcontrollers. Behaviour movements of blade produce different vibration that can be investigated the maximum noise occurs on wiper blade operation using Uni-axial accelerometer A MMA7660. As a result, confirmation behaviour is shown the contact force distribution between rubber blade and glass is produce non-uniformly contact force and identical for hybrid type wiper and uniform contact force and not identical for conventional type wiper. In addition, characteristic of wiper rubber blade due to environment condition such as humidity, temperature and wiper stiffness are major factor in this research. As a conclusion, the results for behaviour of wiper blade depends on structural effect of the wiper blade related to the contact force distribution between the rubber blade and the glass. Secondly the characteristics of wiper rubber blade depends environment condition such as humidity and the temperature. The methodology is achievable to discovery the knowledge of dynamic behaviour and characteristics of wiper rubber blade in future.

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“…An experimental method verified with a finite element analysis (Awang et al, 2009) is carried out for past processing system identification and control of wiper system. Low frequency noise known as chatter noise were identified in wiper system during operation and is subjected to be suppressed while does not violate other oscillatory attributions of wiper system in time domain.…”

Section: Introductionmentioning

confidence: 99%

A Multi-objective, active fuzzy force controller in control of flexible wiper system

Zolfagharian

Ghasemi

Imani

2014

Lat. Am. j. solids struct.

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Chaotic vibration has been identified in the flexible automotive wiper blade at certain wiping speeds. This irregular vibration not only decreases the wiping efficiency, but also degrades the driving comfort. A reliable nonlinear system identification namely nonlinear auto regressive exogenous Elman neural network (NARXENN) was adopted in first stage of this survey to model the flexible dynamics of wiper blade with acquired experimental data. In controller design part, taking into account environmental and external disturbances that cause changes in the dynamic characteristics of the system demanded a robust controller to make a trade off between the worst and best scenario. An active fuzzy force controller (AFLC) supervised by multi objective genetic algorithm (MOGA) is developed to keep both interests of noise and vibration redaction of automobile wiper blade at the reasonable rise time.

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Complex Eigenvalue Analysis of Windscreen Wiper Chatter Noise and its Suppression by Structural Modifications

Cited by 8 publications

References 8 publications

Investigation of the contact force distribution and dynamic behaviour of an automobile windshield wiper blade system

Investigation of the contact force distribution and dynamic behaviour of an automobile windshield wiper blade system

Dynamic Behaviour and Characteristics of Rubber Blade Car Performance

A Multi-objective, active fuzzy force controller in control of flexible wiper system

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