PEPT: An invaluable tool for 3-D particle tracking and CFD simulation verification in hydrocyclone studies

Chang, Yuan‐Shiun; Adamsen, Tom Christian Holm; Pisarev, Gleb I.; Hoffmann, Alex C.

doi:10.1051/epjconf/20135005001

Cited by 10 publications

(9 citation statements)

References 18 publications

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“…The pathlines can greatly help identifying regions with fluctuating and abnormal flow, as well as understanding complex flow patterns and mixing of flows [3,12]. Techniques being able to precisely record the tracks in the complex flow are therefore found very important.…”

Section: Eulerian and Lagrangian Flow Visualization Methodsmentioning

confidence: 99%

“…In this study, the particle tracking algorithm used in Ref. [10,11,12] is further developed for tracking particle in this difficult situation and the tracking is further improved by adding filters. These improvements in the tracking algorithms are an important part of the work reported in this paper.…”

Section: Liquid Flow System Incorporating a Hydrocyclone Separatormentioning

confidence: 99%

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A Lagrangian study of liquid flow in a reverse-flow hydrocyclone using positron emission particle tracking

Chang

Hoffmann

2015

Exp Fluids

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Section: Eulerian and Lagrangian Flow Visualization Methodsmentioning

confidence: 99%

Section: Liquid Flow System Incorporating a Hydrocyclone Separatormentioning

confidence: 99%

A Lagrangian study of liquid flow in a reverse-flow hydrocyclone using positron emission particle tracking

Chang

Hoffmann

2015

Exp Fluids

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“…Depending on the problem, some effects can be neglected from the calculation; but others, as gravitation, viscosity or electromagnetics have considerably high effect (Hellmann et al, 2014). The simulation of particle tracking for positron emission (Chang et al, 2013) or cells and low sized particles (Meijering et al, 2012) for instances is more and more required since the cost of these experiments are also high. continuum and develops its conservation equations on a control volume basis, likewise for the fluid phase.…”

Section: Introductionmentioning

confidence: 99%

Introduction of a Cost Effective Method for Analysing Engine Intake Ice Removal Device for Small Aircraft

Bicsák

Veress

Erdősi³

et al. 2018

Period. Polytech. Transp. Eng.

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Solid (ice) and liquid particles have been defined, and their trajectories are investigated by using fully coupled model. The interaction of the wall-fluid particle has been taken into consideration. Keywords CFD, particle tracking, Lagrangian particle transport modelling, particle and ice remover device IntroductionThe need for different calculation methods is increased significantly due to the highly cost efficient solutions. Several researches (Hargitai, 2012;Beneda, 2008) were in line with these approaches in the vehicle engineering in the last decade. Furthermore, regarding the aeronautical sector, as air traffic continuously increases; it has become essential to ensure the maximum flight safety (Rohács, 2015) beside expected performance and efficiency with including the application of optimization (Hanzal, 2015). Consequently while for larger manufacturers there are enormous power and human resource capacity, and different developments are supported by highly utilized simulation tools and test benches, for smaller aircraft developers, manufacturers the available resources are usually limited. Several international projects target these companies to ensure the "knowhow" for these contributors, such as the ESPOSA project. Hence, in line with these efforts, the main goal of the present paper is to introduce a cost efficient calculation method for modelling and simulating particle filtering by engine intake ice remover device with especial care for the water droplets and ice particles. The particle tracking, particle separation is a significant research field; many publications are available in this area. Different types of solid or fluid particles can cause problems in turbomachinery (Brun et al., 2012). Several separation techniques and/or methods are available in aerospace (Musgrove et al., 2009;Bojdo and Filippone, 2011), vehicle applications (Lindberg, 2015) or even in food processing (Anandharamakrishnan, 2013). Depending on the problem, some effects can be neglected from the calculation; but others, as gravitation, viscosity or electromagnetics have considerably high effect (Hellmann et al., 2014). The simulation of particle tracking for positron emission (Chang et al., 2013) or cells and low sized particles (Meijering et al., 2012) for instances is more and more required since the cost of these experiments are also high. Particle Transport TheoryTwo types of particle transport methods are available in CFD simulations in general: the Eulerian and the Lagrangian method. The Eulerian method handles the particle phase as a continuum and develops its conservation equations on a control volume basis, likewise for the fluid phase. The approximation of the Lagrangian method is different: it considers particles as a discrete phase and tracks the pathway of each individual particle (Zhang and Chen, 2007). The Lagrangian method is used mostly to predict the overall particle dispersion pattern and the temporal development of the mean concentration, and is base of further developments, like the viscoela...

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“…Since the invention of PEPT, it has been used to study a number of flow and other industrial systems [2][3][4][5]. The majority of the experiments detailed in the literature are single particle tracking experiments.…”

Section: Introductionmentioning

confidence: 99%

A feature point identification method for positron emission particle tracking with multiple tracers

Wiggins

Santos

Ruggles

2017

Nuclear Instruments and Methods in Physics Research Section A:

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A novel detection algorithm for Positron Emission Particle Tracking (PEPT) with multiple tracers based on optical feature point identification (FPI) methods is presented. This new method, the FPI method, is compared to a previous multiple PEPT method via analyses of experimental and simulated data. The FPI method outperforms the older method in cases of large particle numbers and fine time resolution. Simulated data show the FPI method to be capable of identifying 100 particles at 0.5 mm average spatial error. Detection error is seen to vary with the inverse square root of the number of lines of response (LORs) used for detection and increases as particle separation decreases.

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PEPT: An invaluable tool for 3-D particle tracking and CFD simulation verification in hydrocyclone studies

Cited by 10 publications

References 18 publications

A Lagrangian study of liquid flow in a reverse-flow hydrocyclone using positron emission particle tracking

A Lagrangian study of liquid flow in a reverse-flow hydrocyclone using positron emission particle tracking

Introduction of a Cost Effective Method for Analysing Engine Intake Ice Removal Device for Small Aircraft

A feature point identification method for positron emission particle tracking with multiple tracers

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