&lt;title&gt;Vibro-acoustic analysis of synchronous belts by laser Doppler vibrometry and boundary element techniques&lt;/title&gt;

Giacomo, Tommaso Di; Sante, Raffaella Di; Ferri, Giuseppe; Rossi, Gianluca; Santolini, C.; Tomasini, Enrico Primo

doi:10.1117/12.386765

Cited by 2 publications

(4 citation statements)

References 13 publications

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“…It was shown in a previous study [1] that there is a strong relation between the vibration of the belt spans at meshing frequency and the total acoustic power emitted at the same frequency.…”

Section: Comparison Between Model Behaviour and Experimental Resultsmentioning

confidence: 91%

“…Equation (1) shows that the impact velocity increases with belt speed and the polygon effect of the wheel. It is seldom affected by the number of teeth and is determined mainly by the module.…”

Section: Main Causes Of Belt Noisementioning

confidence: 98%

“…The identi cation of belt noise, on the other hand, is made dif cult by the presence of many disturbing noise sources existing in the engine; moreover, a high spatial resolution of the measurement technique is needed in order to collect useful and signi cant information. The related work [1] has characterized the vibroacoustic behaviour of synchronous belts by laser velocimetry and has been useful in the phase of tuning the present multi-body model. The noise information from both the experimental measurements and the dynamic model has been processed by a boundary element modelling (BEM) tool to compare the results and give a qualitative assessment of the performance of an actual design, as explained in the following sections.…”

Section: Literature Surveymentioning

confidence: 99%

“…The present article describes a detailed numerical model that has been developed for the characterization of the dynamic behaviour of timing belt transmissions, with the nal goal of forecasting the acoustic radiation of a given design and suggesting possible design changes. In research previously developed at the University of Ancona [1], synchronous belt noise has been analysed by processing vibration data, and the method has been validated by comparing the results with experimental values obtained from acoustic intensity measurements. The work described here represents a further step of the research that outlines a fully numerical procedure where the vibration data analysed through the acoustic model are obtained from belt transmission design by means of a multi-body model of the mechanical equipment.…”

Section: Introductionmentioning

confidence: 99%

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Multi-body modelling of timing belt dynamics

Callegari

Cannella

Ferri³

2003

Proceedings of the Institution of Mechanical Engineers, Part K:

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Although timing belt drives have recently been increasingly used in mechanical design, their behaviour is still considered to a large extent to be unpredictable, especially under varying operative conditions. The acoustic emission of the transmissions, above all, has been thoroughly investigated in past years, but noise still represents an unresolved problem for many applications and a concern for belt designers; therefore, the availability of good predictive models would be very useful for both design and application phases. The present work describes a multi-body numerical model that has been developed for the characterization of the dynamic behaviour of timing belt transmissions, with the nal goal of assessing the acoustic radiation of a given design. Modelling and simulation have been performed by means of commercial software packages, but more additional programming was required to obtain dynamic models capable of simulating the complex behaviour of toothed belt transmissions. Several experimental tests have been performed to identify the many parameters that in uence system dynamics and to validate the resulting computer aided engineering (CAE) model.

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Section: Comparison Between Model Behaviour and Experimental Resultsmentioning

confidence: 91%

Section: Main Causes Of Belt Noisementioning

confidence: 98%

Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations