The quantified residence time distribution (RTD) provides a numerical characterization of mixing in a reactor, thus allowing the process engineer to better understand mixing performance of the reactor.
The final part of the study is devoted to a detailed investigation of mixing performance of the torus PBR, by numerically predicting dispersion of a passive tracer in various configurations.
To direct highly efficient microdevice design, the mixing performance of different mixing methods was investigated.
In this work, the mixing performance of helically agitated mixing in the dry dilute acid pretreatment was investigated.
A time-averaged mixing index was used to evaluate the mixing performance of the micromixer with a pulsatile flow.
In this study, the time-averaged mixing index was used to estimate the mixing performance of time-dependent flow.
An image analysis based method is developed in this work to quantitatively evaluate the mixing performance of a special soft-elastic reactor (SER), which promotes mixing through elastic wall movement.
The mixing performance of these mixers, which are used in this study to mix two streams of different viscosity, is characterized using competitive-parallel chemical reactions and computational fluid dynamics (CFD).
As mixing progressed, the CV decayed exponentially from 1 to 0. We compared the mixing performance of the channels with and without grooves at various flow rates.
A mixing index based on the variance of the mass fraction of the mixture was employed to evaluate the mixing performance of the micromixer.
For this purpose, we correlate the mixing performance of micromixers having various channel shapes and fluid velocities with the diffusion length; the equivalent mixing rate is obtained using computational fluid dynamics (CFD) simulations.
