Critical analysis of velocimetry methods for particulate flows from synthetic data

Weber, Justin; Higham, Jonathan; Musser, Jordan; Fullmer, William D.

doi:10.1016/j.cej.2021.129032

Cited by 3 publications

(3 citation statements)

References 53 publications

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“…The most rigorous validation of particulate systems is typically performed through comparison with experimental imaging data. At the laboratory scale, simulation models can be rigorously and (relatively) easily validated through comparison with comparatively cheap and readily available, optical methods such as particle imaging velocimetry (PIV) and particle tracking velocimetry (PTV) (Marigo and Stitt, 2015;Shirsath et al, 2015;Weber et al, 2019;Weber et al, 2021), see e.g. Fig.…”

Section: Validation Of Models Via Industrial-scale Imagingmentioning

confidence: 99%

Numerical Modelling and Imaging of Industrial-Scale Particulate Systems: A Review of Contemporary Challenges and Solutions

Windows-Yule,

Benyahia,

Toson

et al. 2024

KONA

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Numerical modelling offers the opportunity to better understand, predict, and optimise the behaviours of industrial systems, and thus provides a powerful means of improving efficiency, productivity and sustainability. However, the accurate modelling of industrial-scale particulate and particle-fluid systems is, due to the complex nature of such systems, highly challenging. This challenge arises primarily from three factors: the lack of a universally accepted continuum model for particulate media; the computational expense of discrete particle simulations; and the difficulty of imaging industrial-scale systems to obtain validation data. In recent years, however, advances in software, hardware, theoretical understanding, and imaging technology have all combined to the point where, in many cases, these challenges are now surmountable-though some distance remains to be travelled. In this review paper, we provide an overview of the most promising solutions to the issues highlighted above, discussing also the major strengths and limitations of each.

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Section: Validation Of Models Via Industrial-scale Imagingmentioning

confidence: 99%

Numerical Modelling and Imaging of Industrial-Scale Particulate Systems: A Review of Contemporary Challenges and Solutions

Windows-Yule,

Benyahia,

Toson

et al. 2024

KONA

View full text Add to dashboard Cite

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“…In this study we apply the FlowOnTheGo code for tracking (for a detailed explanation of the code, the reader is directed to Weber et al (2021)); remove camera distortion using piece-wise linear transformation based on calibration plates (Higham and Brevis 2019); and remove any outliers using the PODDEM algorithm (Higham et al 2016). For determining the regions of image intensity, we follow the method described in Weber et al (2021), where the regions of features in each image are determined based on their eigenvectors and associated roughness. To determine the motion of these regions, we solve the Optical Flow equation using a linear approximation as proposed in Lucas and Kanade (1981) and Lucas (1985).…”

Section: Test Data and Numerical Benchmarkmentioning

confidence: 99%

“…More recently, in the areas of chemical engineering and granular flows, a third method, called optical flow tracking velocimetry (OFTV) has been successfully used to track complex motions of particles from a high-speed video (Fullmer et al 2020, Higham et al 2020, 2021, Weber et al 2021. The benefit of this method relates to its robustness for tracking.…”

Section: Introductionmentioning

confidence: 99%

Optical flow tracking velocimetry of near-field explosions

Higham

Isaac

Rigby

2022

Meas. Sci. Technol.

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To better understand the complex dynamics and physics associated with the rapid expansion of the detonation product fireball following an explosion, it is imperative to have a full description of its associated velocity field. Typical experimental techniques rely on simple single-point measurements captured from pressure transducers or Hopkinson pressure bars. In this technical design note, we aim to improve the current state-of-the-art by introducing a means to determine full velocity fields from high-speed video using Optical Flow Tracking Velocimetry. We demonstrate the significance of this method from our results by comparing velocity fields derived from high-speed video and a validated numerical model of the same case. A wider use of this technique will allow researchers to elucidate spatial and temporal features of explosive detonations, which could not be obtained thus far using single- point measurements.

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