Energy dissipation prediction of particle dampers

Abstract

This paper presents initial work on developing models for predicting particle dampers behaviour using the Discrete Element Method (DEM). In the DEM approach, individual particles are typically represented as elements with mass and rotational inertia. Contacts between particles and with walls are represented using springs, dampers and sliding friction interfaces. In order to use DEM to predict damper behaviour adequately, it is important to identify representative models of the contact conditions. It is particularly important to get the appropriate trade-off between accuracy and computational efficiency as particle dampers ave so many individual elements. In order to understand appropriate models, experimental work w s carri d out to understand interactions between the typically small (~ 1.5-3 mm diameter) particles used. Measurements were made of coefficient of restitution and interface friction. These were used to give an indication of the level of uncertainty that the simplest (linear) models might assume.These data were used to predict energy dissipation in a particle damper via a DEM simulation. The results were compared with that of an experiment. Keywords: particle damping, energy dissipationThis paper presents initial work on developing models for predicting particle dampers behaviour using the Discrete Element Method (DEM). In the DEM approach, individual particles are typically represented as elements with mass and rotational inertia. Contacts between particles and with walls are represented using springs, dampers and sliding friction interfaces. In order to use DEM to predict damper behaviour adequately, it is important to identify representative models of the contact conditions. It is particularly important to get the appropriate trade-off between accuracy and computational efficiency as particle dampers have so many individual elements. In order to understand appropriate models, experimental work was carried out to understand interactions between the typically small (~ 1.5-3 mm diameter) particles used. Measurements were made of coefficient of restitution and interface friction. These were used to give an indication of the level of uncertainty that the simplest (linear) models might assume. These data were used to predict energy dissipation in a particle damper via a DEM simulation. The results were compared with that of an experiment.

Damping of rotating beams with particle dampers: Discrete element method analysis

“…3. The friction coefficient μ = 0.3 for the friction between the particles and the coefficient of restitution of 95 % correspond well with the experimental values obtained by Wong et al [7].…”

Movers and shakers: Granular damping in microgravity

“…This has been demonstrated in a number of experiments and Molecular Dynamics (MD) simulations, including investigations on the attenuation of a free spring or cantilever with an attached granular damper [5,7,[22][23][24]. The response of an oscillating cantilever with respect to periodic forcing has also been studied [25][26][27][28][29][30]. Even more complex systems have been investigated, such as the oscillation modes of a plate with an abundance of granulate filled cavities [31][32][33][34] with the aim of noise reduction [19].…”

Particle impact dampers: Past, present, and future

“…For example, Energy dissipation of particle dampers was predicted by Wong et al [5] via the discrete element method. The results revealed that despite the fact that friction plays a leading role in energy dissipation, the actual friction coefficient has a little influence on energy consumption.…”

“…[1,2] As the primary structure vibrates, kinetic energy is significantly absorbed through the combined effects of particle-to-particle and particle-to-wall inelastic collisions and frictional losses, producing considerable damping to the primary structure. [3][4][5][6] Particle damping technology has been widely Received: 23 February 2017 Revised: used due to its conceptual simplicity, moderate cost, good durability, and temperature insensitivity. Provided that the operating temperature is below the particles' metal melting point, it could maintain normal operation.…”