Coffee bean particle motion in a rotating drum measured using Positron Emission Particle Tracking (PEPT)

Al-Shemmeri, Mark; Windows-Yule, Kit; López-Quiroga, Estefanía; Fryer, P. J.

doi:10.1016/j.foodres.2022.112253

Cited by 7 publications

(2 citation statements)

References 43 publications

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“…Like ECT, PEPT has been applied to the study of a wide range of industry-relevant processes and unit operations, including pipe flow (Fairhurst et al, 2001), diverse types of mixers (Jones and Bridgwater, 1998;Marigo et al, 2013;Mihailova et al, 2015), stirred tank reactors (Fangary et al, 2000), fluidized (Leadbeater et al, 2023), spouted (Al-Shemmeri et al, 2021, and vibrated beds (Windows-Yule et al, 2014), cyclonse (Chan et al, 2009), drum roasters (Al-Shemmeri et al, 2023), mills (Conway-Baker et al, 2002), froth flotation devices (Cole et al, 2022), extruders (Diemer et al, 2011), and even household appliances such as washing machines, dishwashers and tumble dryers (Pérez-Mohedano et al, 2015;Jones et al, 2022).…”

Section: Positron Emission Particle Trackingmentioning

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: Positron Emission Particle Trackingmentioning

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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“…The dynamic particle can be captured using positron emission particle tracking (PEPT). However, this method is complicated but can clearly give a picture of events (Al-Shemmeri et al, 2023). The force balance analysis is not only used to predict extensive material but also can be used to analyse small particle movement or even fluid.…”

Section: Introductionmentioning

confidence: 99%

Study of Coffee Bean Displacement Inside Drum Roaster Using Force Balance Analysis

Suud,

Novijanto,

Nadzirah

et al. 2023

JTEP-L

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The drum roaster's design and operating method significantly affect the coffee roasting process. The coffee bean displacement inside the drum roaster can be observed to compare the drum roaster's different designs and operating methods. The coffee bean movement is crucial since it affects the heat transfer distribution among coffee beans inside the drum roaster. The more dynamic displacement of coffee beans gives more even heat distribution. Force balance analysis can be used to predict the coffee bean displacement since it can predict particle movement with mutable variables. This paper compares the coffee bean displacement inside the drum roaster with flippers and without flippers using simple force balance analysis. The analysis involves tangential force, centrifugal force, frictional force, and the beans' weight itself. The analysis shows that the radius of the drum roaster (r) and angular acceleration (ω) significantly change the resultant force's dynamic, and the various tilt angle of flippers (β) did not too significantly affect it. The bigger radius (r) and angular acceleration (ω) generate a stronger centrifugal force influencing the bean's equilibrium. The direction change of force resultant applied to the bean is more smooth in the drum with flippers than without flippers. Keywords: Coffee bean displacement, Drum coffee roaster, Force balance analysis, Resultant force Turning point duration

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On the autonomous validation and comparison of particle models for a Newtonian laminar flow mixing model using PEPT

Hart-Villamil,

Ingram,

Windows-Yule

et al. 2024

Chemical Engineering Research and Design

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Coffee bean particle motion in a rotating drum measured using Positron Emission Particle Tracking (PEPT)

Cited by 7 publications

References 43 publications

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

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

Study of Coffee Bean Displacement Inside Drum Roaster Using Force Balance Analysis

On the autonomous validation and comparison of particle models for a Newtonian laminar flow mixing model using PEPT

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