Author
Tom Dyakowski
Other affiliations: University of Łódź
Bio: Tom Dyakowski is an academic researcher from University of Manchester. The author has contributed to research in topics: Slug flow & Discrete element method. The author has an hindex of 9, co-authored 13 publications receiving 378 citations. Previous affiliations of Tom Dyakowski include University of Łódź.
Papers
More filters
TL;DR: In this paper, the flow behavior of spherical particles and their arching and discharging in a rectangular hopper are analyzed and compared with the DEM results for three hopper openings.
121 citations
TL;DR: In this article, the simulation results by computational fluid dynamics analysis and experimental results obtained by electrical capacitance tomography (ECT) are reported, and compared the simulation and test results first time, including the solids concentration profile, temporal variation of average-solids concentration, autocorrelation coefficient and frequency spectrum.
Abstract: Fluidization conditions in a circulating-fluidized bed (CFB) can vary dramatically, from bubbling to circulating regimes. The granular Eurlerian models have been used to simulate the bubbling and slugging behavior of gas and solids in CFB. Considering the dielectric properties and rapid movement of solids in CFB, electrical capacitance tomography (ECT) is particularly suitable for measuring the concentration and distribution of solids in CFB to verify the simulation results. The simulation results by computational fluid dynamics (CFD) analysis and experimental results obtained by ECT are reported, and compares the simulation and experimental results first time, including the solids concentration profile, temporal variation of average-solids concentration, autocorrelation coefficient and frequency spectrum. © 2006 American Institute of Chemical Engineers AIChE J, 2006
49 citations
TL;DR: In this paper, a modified version of the existing design equations presented by previous researchers was developed and used to predict the separation performance of many hydrocyclone operational systems at the Dow Chemical Company, Texas, USA.
49 citations
TL;DR: In this paper, the amount of particle deposition in the horizontal pipeline after a conveying was calculated by controlling the solids feeding rate using a rotary valve and by monitoring the solid flow out of the system using dynamic load cells.
Abstract: Solids deposition in the horizontal pipeline of a pneumatic conveying system was studied both mathematically and experimentally. Mathematically modelled results using the coupled discrete element method (DEM) and computational fluid dynamics (CFD) approach have demonstrated an intensive exchange of particles between the stationary layer (deposited particles) and the moving slug and a variation of solids concentration and pressure and velocity distributions across the slug. Slug flows were also visualised experimentally through a glass section and analysed by a high-speed video camera. The amount of particle deposition in the pipeline after a conveying was calculated by controlling the solids feeding rate using a rotary valve and by monitoring the solids flow out of the system using dynamic load cells. Experimentally generated data have quantitatively shown a tendency of more solids deposition with lower gas mass flow rate in slug flows except that, below a certain amount of solids mass flow rate, the deposition becomes independent of gas flow rate.
34 citations
TL;DR: In this article, an application of electrical tomography for imaging a nylon polymerization process at elevated temperatures (up to 275°C and pressures (Up to 22 bar) was presented.
34 citations
Cited by
More filters
TL;DR: This paper reviews the work in this area with special reference to the discrete element method and associated theoretical developments, and covers three important aspects: models for the calculation of the particle–particle and particle–fluid interaction forces, coupling of discrete elements method with computational fluid dynamics to describe particle-fluid flow, and the theories for linking discrete to continuum modelling.
1,563 citations
TL;DR: Zhu et al. as discussed by the authors provided a summary of the studies based on discrete particle simulation in the past two decades or so, with emphasis on the microdynamics including packing/flow structure and particle-particle, particle-fluid and particle wall interaction forces.
1,253 citations
TL;DR: In this paper, a review of recent developments in the discrete element method (DEM) to model particles of non-spherical shape is presented, including shape representation, algorithms for the efficient detection of contacts and the determination of contact parameters.
417 citations
TL;DR: A review of the recent efforts in developing discrete element method (DEM) approaches to model non-spherical particulate systems (NSPS) and strategies of coupling such a nonspherical DEM model with computational fluid dynamics (CFD) for particle-fluid flows is presented in this paper.
414 citations
TL;DR: In this paper, the authors discuss the fundamentals involved in developing a CFD solution and provide a state-of-the-art review on various CFD applications in the food industry such as ventilation, drying, sterilisation, refrigeration, cold display and storage, and mixing.
Abstract: Computational fluid dynamics (CFD) is a powerful numerical tool that is becoming widely used to simulate many processes in the food industry. Recent progression in computing efficacy coupled with reduced costs of CFD software packages has advanced CFD as a viable technique to provide effective and efficient design solutions. This paper discusses the fundamentals involved in developing a CFD solution. It also provides a state-of-the-art review on various CFD applications in the food industry such as ventilation, drying, sterilisation, refrigeration, cold display and storage, and mixing and elucidates the physical models most commonly used in these applications. The challenges faced by modellers using CFD in the food industry are also discussed.
392 citations