An Efficient Acceleration of Solving Heat and Mass Transfer Equations with the First Kind Boundary Conditions in Capillary Porous Radially Composite Cylinder Using Programmable Graphics Hardware

Narang, Hira; Wu, Fan; Mohammed, A.

doi:10.4236/jcc.2019.77022

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Nowadays, very powerful resources exist to effi-ciently analyze and understand a complex set of heat and mass transfer problems. Recently, Narang et al [1] demonstrated that the GPU (Graphical Processing Unit) can be much faster than the CPU (Compute Processing Unit) in the area of numerical heat and mass transfer solutions. Furthermore, the experimental results obtained for a radially composite capillary porous cylinder indicate that the GPU-based implementation shows a significant performance improvement over the CPU-based implementation with maximum speedups of about 10 times.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Coupled Heat and Mass Transfer in a Trapezoidal Porous Bed on a Grid

N’wuitcha¹,

Apedanou²,

Lare³

et al. 2023

OJFD

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We investigate heat and mass transfer in an isosceles trapezoidal cavity, filled with charcoal considered as a granular porous medium. The Darcy-Brinkman-Forchheimer flow model is coupled to the energy and mass equations with the assumption of non-thermal equilibrium. These equations are discretized by the finite volume method with an offset mesh and then solved by the line-by-line method of Thomas. The coupling between pressure and velocity is obtained by Semi-Implicit Method for Pressure Linked Equations. (SIMPLE) algorithm. The results show that the temperature in the cavity increases when the inclination angle of the sides walls decreases. The 15˚ inclination is selected as being able to offer better thermal performance in the cookstove combustion chamber.

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Section: Introductionmentioning

confidence: 99%

Modeling of Coupled Heat and Mass Transfer in a Trapezoidal Porous Bed on a Grid

N’wuitcha¹,

Apedanou²,

Lare³

et al. 2023

OJFD

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“…Usually, sequential codes are used, but they are not adequate for parallelization. However, parallelization and high-performance computing resources have become fundamental strategies to improve numerical performance (see [3] and references therein). Notwithstanding this new paradigm, the procedure is not straightforward.…”

Section: Introductionmentioning

confidence: 99%

Shared Memory Semi-Implicit Solver for Hydrodynamical Instability Processes

Kielbowicz¹,

Fernández²,

Saal³

et al. 2023

OJFD

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The Advection-Diffusion Reaction (ADR) equation appears in many problems in nature. This constitutes a general model that is useful in various scenarios, from porous media to atmospheric processes. Particularly, it is used at the interface between two fluids where different types of instabilities due to surface mobility may appear. Together with the ADR equation, the Darcy-Brinkman model describes the phenomena known as fingering that appear in different contexts. The study of this type of system gains in complexity when the number of chemical species dissolved in both fluids increases. With more solutes, the increasing complexity of this phenomenon generally requires much computational power. To face the need for more computational resources, we build a solver tool based on an Alternating Direction Implicit (ADI) scheme that can be run in Central Processing Unit (CPU) and Graphic Processing Unit (GPU) architectures on any notebook. The implementation is done using the MATLAB platform to compare both versions. It is shown that using the GPU version strongly saves both resources and calculation times.

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Mathematical Model and Numerical Method of Calculating the Dynamics of High-Temperature Drying of Milled Peat for the Production of Fuel Briquettes

et al. 2023

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Milled peat must be dried for the production of peat fuel briquettes. The current trend in the creation of drying technologies is the intensification of the dehydration process while obtaining a high-quality final product. An increase in the temperature of the drying agent, above 300 °C, significantly accelerates the reaching of the final moisture content of the peat. In the final stage, it is also accompanied by partial thermal decomposition of the solid phase. Its first stage, which is the decomposition of hemicellulose, contributes to a decrease in weight and an increase in the caloric content of the dry residue. The development of high-temperature drying modes consists of determining the temperature and velocity of the drying agent, wherein the duration of the material reaching the equilibrium moisture content will be minimal and the temperature of the material will not rise above the second-stage decomposition temperature of cellulose. This problem can be solved by the mathematical modeling of the dynamics of peat particles drying in the flow. The article presents a mathematical model of heat and mass transfer, phase transitions, and shrinkage during the dehydration of milled peat particles. The equations of the mathematical model were built based on the differential equation of mass transfer in open deformable systems, which, in the absence of deformations, turns into the known equation of state. A numerical method for implementing a mathematical model has been developed. The adequacy of the mathematical model is confirmed by comparing the results of numerical modeling with known experimental data.

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An Efficient Acceleration of Solving Heat and Mass Transfer Equations with the First Kind Boundary Conditions in Capillary Porous Radially Composite Cylinder Using Programmable Graphics Hardware

Cited by 3 publications

References 11 publications

Modeling of Coupled Heat and Mass Transfer in a Trapezoidal Porous Bed on a Grid

Modeling of Coupled Heat and Mass Transfer in a Trapezoidal Porous Bed on a Grid

Shared Memory Semi-Implicit Solver for Hydrodynamical Instability Processes

Mathematical Model and Numerical Method of Calculating the Dynamics of High-Temperature Drying of Milled Peat for the Production of Fuel Briquettes

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