Modelling ignition probability with pairwise mixing-reaction model for flame particle tracking

Research was undertaken in order to identify possible methodologies for the prediction of sedimentation in storage chambers based on computational fluid dynamics (CFD). The Fluent CFD software was used to establish a numerical model of the flow field, on which further analysis was undertaken. Sedimentation was estimated from the simulated flow fields by two different methods. The first approach used the simulation to predict the bed shear stress distribution, with deposition being assumed for areas where the bed shear stress fell below a critical value (τcd). The value of τcd had previously been determined in the laboratory. Efficiency was then calculated as a function of the proportion of the chamber bed for which deposition had been predicted. The second method used the particle tracking facility in Fluent and efficiency was calculated from the proportion of particles that remained within the chamber. The results from the two techniques for efficiency are compared to data collected in a laboratory chamber. Three further simulations were then undertaken in order to investigate the influence of length to breadth ratio on chamber performance. The methodology presented here could be applied to complex geometries and full scale installations.

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Lagrangian particle tracking applied to high-speed tomographic particle imaging velocimetry.

10.2172/1464440 ◽

2016 ◽

Author(s):

Maksym Zhelyeznyakov

Keyword(s):

Particle Tracking ◽

High Speed ◽

Particle Imaging Velocimetry ◽

Lagrangian Particle Tracking ◽

Lagrangian Particle ◽

Particle Imaging

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DEVELOPMENT OF PARTICLE TRACKING SIMULATION AND ITS APPLICATION TO COILIA NASUS IN CHIKUGO RIVER ESTUARY

Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering) ◽

10.2208/jscejhe.75.2_i_475 ◽

2019 ◽

Vol 75 (2) ◽

pp. I_475-I_480

Author(s):

Masashi FUJIMOTO ◽

Naoya IWAMOTO ◽

Tetsuya SHINTANI ◽

Katsuhide YOKOYAMA

Keyword(s):

Particle Tracking ◽

River Estuary ◽

Coilia Nasus ◽

Chikugo River

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Intensification of cooling in a batch reactor with an exothermic reaction by nonisothermal control in stable pseudostationary states

Collection of Czechoslovak Chemical Communications ◽

10.1135/cccc19842566 ◽

1984 ◽

Vol 49 (11) ◽

pp. 2566-2578 ◽

Cited By ~ 1

Author(s):

Josef Horák ◽

Petr Beránek ◽

Dagmar Maršálková

Keyword(s):

Batch Reactor ◽

Exothermic Reaction ◽

Reaction Model ◽

Order Reaction ◽

Zero Order ◽

Coolant Temperature ◽

Inlet Temperature ◽

Adaptive Parameter ◽

Zero Order Reaction ◽

Set Up

An algorithm is set up and tested for the temperature control of a batch reactor consisting in jump changes in the inlet temperature of entering coolant. This temperature is so chosen that its difference from the temperature of the reaction mixture is near the highest difference at which the stable pseudostationary state of the system still exists. For the prediction of the new coolant inlet temperature, a zero-order reaction model is used with an adaptive parameter estimated from the experimentally established value of the maximum of the reaction mixture overheating at the previous coolant temperature.

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Multiple particle tracking

10.1093/oso/9780199655205.003.0004 ◽

2018 ◽

Cited By ~ 1

Author(s):

Eric M. Furst ◽

Todd M. Squires

Keyword(s):

Brownian Motion ◽

Best Practices ◽

Particle Tracking ◽

Heterogeneous Material ◽

Quantitative Measurements ◽

Particle Tracking Microrheology ◽

Shell Models ◽

Multiple Particle Tracking ◽

Microscopy Data ◽

Multiple Particle

The fundamentals and best practices of multiple particle tracking microrheology are discussed, including methods for producing video microscopy data, analyzing data to obtain mean-squared displacements and displacement correlations, and, critically, the accuracy and errors (static and dynamic) associated with particle tracking. Applications presented include two-point microrheology, methods for characterizing heterogeneous material rheology, and shell models of local (non-continuum) heterogeneity. Particle tracking has a long history. The earliest descriptions of Brownian motion relied on precise observations, and later quantitative measurements, using light microscopy.

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