A measurement-integrated solution for particle image velocimetry and volume fraction measurements in a fluidized bed

Kolehmainen, Jari; Elfvengren, Jouni; Saarenrinne, Pentti

doi:10.1016/j.ijmultiphaseflow.2013.05.005

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…However, resolving this fine structure in simulations of flows in large-scale devices is computationally unaffordable. Such fine structure has been seen in experiments (4,34) and in EL simulations (35)(36)(37)(38), and it exposes the following fundamental challenges in modeling gas-particle flows.…”

Section: Modeling Approachesmentioning

confidence: 85%

Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas–Particle Flows

Sundaresan

Özel

Kolehmainen

2018

Annu. Rev. Chem. Biomol. Eng.

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153

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As multiscale structures are inherent in multiphase flows, constitutive models employed in conjunction with transport equations for momentum, species, and energy are scale dependent. We suggest that this scale dependency can be better quantified through deep learning techniques and formulation of transport equations for additional quantities such as drift velocity and analogies for species, energy, and momentum transfer. How one should incorporate interparticle forces, which arise through van der Waals interaction, dynamic liquid bridges between wet particles, and tribocharging, in multiscale models warrants further study. Development of multiscale models that account for all the known interactions would improve confidence in the use of simulations to explore design options, decrease the number of pilot-scale experiments, and accelerate commercialization of new technologies.

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Section: Modeling Approachesmentioning

confidence: 85%

Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas–Particle Flows

Sundaresan

Özel

Kolehmainen

2018

Annu. Rev. Chem. Biomol. Eng.

Self Cite

153

View full text Add to dashboard Cite

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“…With the development of CFD after 1990s [3], the method of using computer simulation instead of manpower to solve complex mathematical equations has been popularized. CFD is used as a research tool to simulate the two-dimensional and threedimensional material flow in the real world.…”

Section: Introductionmentioning

confidence: 99%

NUMERICAL SIMULATION OF A HEAT TREATMENT PROCESS OF 7055-SiCp COMPOSITES USING COMPUTATIONAL FLUID DYNAMICS

2021

IJOMAM

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The purpose of this study is to explore the phase transformation and property change of 7055-SiCp composite in heat treatment process, and find out the method to improve the heat treatment process. With the help of the most commonly used commercial computational fluid dynamics (CFD) software in numerical simulation, a numerical simulation model describing the heat treatment process of 7055-SiCp composite is established. Moreover, the numerical simulation experiment of the change of the composite material in the heat treatment process is taken as the research object. CFD technology is used as a research tool. By means of numerical simulation and commercial software, a model describing the internal changes of heat treatment process of 7055-SiCp aluminum matrix composites is established to analyze the internal structure transformation, structure transformation and physical properties changes. The results show that there is a second phase aluminum copper Al2Cu in the composite matrix. In addition, the static recrystallization phenomenon and recrystallization structure appear during annealing and solution treatment of heat treatment process. Annealing at 300°C for 20h can significantly increase the elongation of the material by about 76%, but the tensile and compressive properties and yield strength of the material also decrease by 47% and 52%, respectively. The numerical simulation software is used to discretize the macro phase transformation problem to further optimize the heat treatment process. Through the simulation of material heat treatment, the advantages and disadvantages of the process are analyzed accurately, to achieve accurate control and improvement of the process. It has a strong application value for the optimization of material performance after heat treatment, and has great reference significance for the follow-up research work.

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“…The implementation of A-USC conditions extorts the development of subsequent PP elements-for example, new steam turbines [6,7] and high performance boilers [8]-and the implementation of alternative technical solutions, such as boilers equipped with fluidised beds [9][10][11]. An increase in live steam conditions cannot be achieved without intervening in the structure of a thermal cycle or without the changing of local parameters.…”

Section: Introductionmentioning

confidence: 99%

Power Plant Optimisation—Effective Use of the Nelder-Mead Approach

et al. 2020

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This paper demonstrates the use of a combined software package including IPSEpro and MATLAB in the optimisation of a modern thermal cycle. A 900 MW power plant unit (operating at ultra-supercritical conditions) was considered as the study object. The Nelder-Mead simplex-based, direct search method was used to increase power plant efficiency and to find the optimal thermal cycle configuration. As the literature reveals, the Nelder-Mead approach is very sensitive to the simplex size and to the choice of method coefficients, i.e., reflection, expansion and contraction. When these coefficients are improperly chosen, the finding of the optimal solution cannot be guaranteed, particularly in such complex systems as thermal cycles. Hence, the main goal of the present work was to demonstrate the capability of an integrated software package including IPSEpro, MATLAB and MS Excel in the optimisation process of a complex thermal cycle, as well as to examine the effectiveness of the most popular sets of Nelder-Mead coefficients previously proposed by other researchers. For the investigation purposes, the bleed and outlet pressures from the turbines were considered as decision variables, and the power plant efficiency was used as an objective function.

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A measurement-integrated solution for particle image velocimetry and volume fraction measurements in a fluidized bed

Cited by 6 publications

References 8 publications

Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas–Particle Flows

Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas–Particle Flows

NUMERICAL SIMULATION OF A HEAT TREATMENT PROCESS OF 7055-SiCp COMPOSITES USING COMPUTATIONAL FLUID DYNAMICS

Power Plant Optimisation—Effective Use of the Nelder-Mead Approach

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