Density model for aqueous glycerol solutions

Volk, Andreas; Kähler, Christian J.

doi:10.1007/s00348-018-2527-y

Cited by 213 publications

(154 citation statements)

References 9 publications

Supporting

Mentioning

146

Contrasting

Unclassified

Order By: Relevance

“…The particle is suspended in the center of the tank using an air bearing so the particle can rotate at the same rate as the fluid vorticity. 10 3 kg/m 3 [26,28]. The belt is driven by an electric motor which allows us to set the strain rate.…”

Section: Two-dimensional Experimentsmentioning

confidence: 99%

Using deformable particles for single-particle measurements of velocity gradient tensors

2019

View full text Add to dashboard Cite

We measure the deformation of particles made of several slender arms in a two-dimensional (2D) linear shear and a three-dimensional (3D) turbulent flow. We show how these measurements of arm deformations along with the rotation rate of the particle allow us to extract the velocity gradient tensor of the flow. The particles used in the experiments have three symmetric arms in a plane (triads) and are fabricated using 3D printing of a flexible polymeric material. Deformation measurements of a particle free to rotate about a fixed axis in a 2D simple shear flow are used to validate our model relating particle deformations to the fluid strain. We then examine deformable particles in a 3D turbulent flow created by a jet array in a vertical water tunnel. Particle orientations and deformations are measured with high precision using four high speed cameras and have an uncertainty on the order of 10 −4 radians. Measured deformations in 3D turbulence are small and only slightly larger than our orientation measurement uncertainty. Simulation results for triads in turbulence show deformations similar to the experimental observations. Deformable particles offer a promising method for measuring the full local velocity gradient tensor from measurements of a single particle where traditionally a high concentration of tracer particles would be required.

show abstract

Section: Two-dimensional Experimentsmentioning

confidence: 99%

Using deformable particles for single-particle measurements of velocity gradient tensors

2019

View full text Add to dashboard Cite

show abstract

“…Unless otherwise mentioned the fluid properties (ρ f = 1.01 g/cm 3 , η f = 1.03 mPa · s) of glycerin with 5% water at a temperature of 25 ° C are used in the simulation study …”

Section: Simulation Setupmentioning

confidence: 99%

Study of the filter cake formed due to the sedimentation of monodispersed and bidispersed particles using discrete element method–computational fluid dynamics simulations

2019

View full text Add to dashboard Cite

This study aims to investigate the sedimentation and the consolidation of the packed bed/cake formed due to the monodispersed and bidispersed particles under different flow conditions. Mutual interactions between the bidispersed particles and the liquid are considered by using a polydispersed drag model. The attractive force is considered by using the JKR model. Sensitivity of the void fraction of a sedimented packed bed/cake due to particle–particle interaction parameters is studied. Furthermore, the effect of the fluid flow is analyzed by performing the simulations in two stages. In the first stage, packed bed/cake is formed by the sedimentation of the particles in the absence of the fluid forces and in the second stage flow through the packed bed/cake is simulated by using the CFD coupled with the discrete element method. Based on the simulations, correlations between the sedimented and the consolidated void fractions are developed. © 2019 American Institute of Chemical Engineers AIChE J, 65: 1294–1303, 2019

show abstract

“…By direct measurements of the sample viscosities one would likely be able to decrease this error to the point, where it can be neglected compared to the methodological error, which is why we focused on the analysis of the methodological error in this work. If a direct measurement is not possible we recommend to take the recently published work of [33] into account for sample preparation as it takes the volume contraction of the mixture into account and contains a better approximation of the water, glycerol and water-glycerol-mixture densities. The methodological error is composed of a systematic and a statistical component.…”

Section: Discussionmentioning

confidence: 99%

Viscosity quantification using multi-contrast magnetic particle imaging

et al. 2018

View full text Add to dashboard Cite

Magnetic particle imaging (MPI) is a relatively new tomographic imaging technique using static and oscillating magnetic fields to image the spatial distribution of magnetic nanoparticles. The latter being the contrast MPI has been initially designed for. However, recently it has been shown that MPI can be extended to a multi-contrast method that allows one to simultaneously image the signals of different MPI tracer materials. Additionally, it has been shown that changes in the particles environment, e.g. the viscosity have an impact on the MPI signal and can potentially be used for functional imaging. The purpose of the present work is twofold. First, we generalize the MPI imaging equation to describe different multi-contrast settings in a unified framework. This allows for a more precise interpretation and discussion of results obtained by single-and multi-contrast reconstruction. Second, we propose and validate a method that allows one to determine the viscosity of a small sample from a dual-contrast reconstruction. To this end, we exploit a calibration curve mapping the sample viscosity onto the relative signal weights within the channels of the dual-contrast reconstruction. The latter allows us to experimentally determine the viscosity of the particle environment in the range of 1-51.8 mPa s with a relative methodological error of less than 6%.

show abstract

Density model for aqueous glycerol solutions

Cited by 213 publications

References 9 publications

Using deformable particles for single-particle measurements of velocity gradient tensors

Using deformable particles for single-particle measurements of velocity gradient tensors

Study of the filter cake formed due to the sedimentation of monodispersed and bidispersed particles using discrete element method–computational fluid dynamics simulations

Viscosity quantification using multi-contrast magnetic particle imaging

Contact Info

Product

Resources

About