Microfiber Filter Performance Prediction Using a Lattice Boltzmann Method

Augusto, Liliana de Luca Xavier; Ross-Jones, Jesse; Lopes, Gabriela Cantarelli; Tronville, Paolo Maria; Gonçalves, José Antônio Silveira; Krause, Mathias J.; Rädle, Matthias

doi:10.4208/cicp.oa-2016-0180

Cited by 12 publications

(10 citation statements)

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“…Details of the evaluation of these parameters were presented in our previous study. [20] Basically, the solid fraction was estimated by converting a SEM image into a binary (black and white) picture. Each of these colours represent a fibre or an empty space of the filter medium.…”

Section: Filter Media Designmentioning

confidence: 99%

A simple numerical method to simulate the flow through filter media: Investigation of different fibre allocation algorithms

et al. 2021

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Flow patterns and pressure-drop through three fine-fibre air filter media were simulated using the lattice Boltzmann method. The geometry for the flow domain was two-dimensional, with fibres having truncated log-normal diameter distributions matching SEM photograph measurements on the actual media. The influence of the strategy in positioning the fibres inside the computational domain on the pressure drop of the filter media was investigated. Two different schemes were proposed to position the fibres into a cross section of the filter medium: a random distribution algorithm and the Mitchell's best candidate algorithm. Furthermore, no-slip and free-slip boundary conditions were tested for the fluid-fibre interaction. The comparison between numerical and experimental data shows that the random allocation of fibres better predicted the filter media behaviour. Simulated data suggest that the free-slip boundary condition must be used when studying the interaction of the fluid with small fibres similar to the size of the fibres used in this study. This study allowed the development of a simple strategy to estimate the pressure drop of a filter medium by having little information of its physical structure, such as solid fraction and diameter distribution.

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Section: Filter Media Designmentioning

confidence: 99%

A simple numerical method to simulate the flow through filter media: Investigation of different fibre allocation algorithms

et al. 2021

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“…Meanwhile, alternative approaches, such as the lattice Boltzmann method (LBM), have received increasing attention. Its highly efficient parallel algorithm [14,15], and its applicability to a wide range of flow phenomena, e.g., flows in complex geometry [16,17] or turbulent flows [18,19], offers a high potential.…”

Section: Introductionmentioning

confidence: 99%

Fluid–Structure Interaction Simulation of a Coriolis Mass Flowmeter Using a Lattice Boltzmann Method

Haussmann¹,

Reinshaus²,

Simonis

et al. 2021

Fluids

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In this paper, we use a fluid–structure interaction (FSI) approach to simulate a Coriolis mass flowmeter (CMF). The fluid dynamics is calculated by the open-source framework OpenLB, based on the lattice Boltzmann method (LBM). For the structural dynamics we employ the open-source software Elmer, an implementation of the finite element method (FEM). A staggered coupling approach between the two software packages is presented. The finite element mesh is created by the mesh generator Gmsh to ensure a complete open source workflow. The Eigenmodes of the CMF, which are calculated by modal analysis, are compared with measurement data. Using the estimated excitation frequency, a fully coupled, partitioned, FSI simulation is applied to simulate the phase shift of the investigated CMF design. The calculated phase shift values are in good agreement to the measurement data and verify the suitability of the model to numerically describe the working principle of a CMF.

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“…In recent years, an alternative approach called the lattice Boltzmann method (LBM) has gained increasing attention in research and industry. LBM is useful in a wide range of applications, e.g., thermal flow simulations [19,20] or flows in complex geometries [21,22], due to its highly efficient parallel algorithm [23,24]. Such efficiency offers a high potential in reducing computation times for the simulation of high Reynolds number flows using DNS or LES approaches, which is usually a bottleneck in the field of turbulent flow simulations.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Near-Wall-Modeled Large Eddy Lattice Boltzmann Method for the Analysis of Complex Flows Relevant to IC Engines

et al. 2020

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In this paper, we compare the capabilities of two open source near-wall-modeled large eddy simulation (NWM-LES) approaches regarding prediction accuracy, computational costs and ease of use to predict complex turbulent flows relevant to internal combustion (IC) engines. The applied open source tools are the commonly used OpenFOAM, based on the finite volume method (FVM), and OpenLB, an implementation of the lattice Boltzmann method (LBM). The near-wall region is modeled by the Musker equation coupled to a van Driest damped Smagorinsky-Lilly sub-grid scale model to decrease the required mesh resolution. The results of both frameworks are compared to a stationary engine flow bench experiment by means of particle image velocimetry (PIV). The validation covers a detailed error analysis using time-averaged and root mean square (RMS) velocity fields. Grid studies are performed to examine the performance of the two solvers. In addition, the differences in the processes of grid generation are highlighted. The performance results show that the OpenLB approach is on average 32 times faster than the OpenFOAM implementation for the tested configurations. This indicates the potential of LBM for the simulation of IC engine-relevant complex turbulent flows using NWM-LES with computationally economic costs.

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Microfiber Filter Performance Prediction Using a Lattice Boltzmann Method

Cited by 12 publications

References 0 publications

A simple numerical method to simulate the flow through filter media: Investigation of different fibre allocation algorithms

A simple numerical method to simulate the flow through filter media: Investigation of different fibre allocation algorithms

Fluid–Structure Interaction Simulation of a Coriolis Mass Flowmeter Using a Lattice Boltzmann Method

Evaluation of a Near-Wall-Modeled Large Eddy Lattice Boltzmann Method for the Analysis of Complex Flows Relevant to IC Engines

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