Simulation of melting and solidification process of polyethylene glycol 1500 as a PCM in rectangular, triangular, and cylindrical enclosures

Soodmand, Ahmadreza Mohammadian; Nejatbakhsh, Siyamak; Pourpasha, Hadi; Aghdasinia, Hassan; Heris, Saeed Zeinali

doi:10.1016/j.aej.2022.02.011

Cited by 26 publications

(4 citation statements)

References 31 publications

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“…The analysis of the results of solving unstable equations continued until the station's efficiency reached 70%. Continuity, momentum balance, and energy balance equations are as follows [55][56][57] :…”

Section: Computational Amplitude Modelling Of Heat Exchangersmentioning

confidence: 99%

“…Continuity, momentum balance, and energy balance equations are as follows [ 55–57 ] :

\frac{\partial ρ}{\partial t} + \nabla . (ρ \overset{true\to}{v}) = 0

\frac{\partial}{\partial t} (ρ \overset{true\to}{v}) + \nabla . (ρ \overset{true\to}{v} \overset{true\to}{v}) = - \nabla P + \nabla τ + ρ \overset{true\to}{g} + \overset{true\to}{F}

v \frac{\partial T}{\partial r} + u \frac{\partial T}{\partial x} = α [\frac{1}{r} \frac{\partial}{\partial r} (r \frac{\partial T}{\partial r}) + \frac{\partial^{2} T}{\partial x^{2}}]

where

P

ρ \overset{true\to}{g}

, and

\overset{true\to}{F}

are the static pressure, the gravitational body force, and external body force, respectively. v and u are the inlet gas velocities, in the directions of r , x , respectively, and

α

is the thermal diffusivity.…”

Section: Mathematical Modelling and Flow Geometrymentioning

confidence: 99%

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The effect of heat transfer characteristics of macromolecule fouling on heat exchanger surface: A dynamic simulation study

et al. 2023

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At the city gate gas pressure reduction stations (CGSs), to prevent natural gas from forming a hydrate in the throttle valve, the natural gas is heated by the heater before reaching the pressure relief valve. Heat exchangers are an essential component of industrial processes that contribute significantly to total system energy. Since the element impacting heat exchanger performance is the fouling process, all fouling processes and models were dynamically simulated in this study. Through coding in the C++ language and simultaneous use of fluent functions, or, in other words, user‐defined function (UDF), fouling‐related models were defined for this software. The dynamic simulation was performed, and parameters such as fouling strength and layer thickness were calculated. The effects of changing operating conditions, such as gas inlet velocity, surface temperature, and fouling species concentration on fouling growth, were also evaluated. As the concentration of fouling species increased, the fouling rate also increased. The amount of supersaturation and fouling rate increased as the surface temperature increased. Due to the operational limitations of the system, to reduce the fouling rate, the gas inlet velocity should be as high as possible, and the fluid inlet temperature, surface temperature, and concentration of fouling species should be as low as possible. In this study, the required time to reach the efficiency of 70% of the heat exchanger was calculated using the modelling of this chamber, which was equivalent to 190 days. Additionally, the critical thickness of the fouling layer at this time was 3.5 cm.

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Section: Computational Amplitude Modelling Of Heat Exchangersmentioning

confidence: 99%

“…Continuity, momentum balance, and energy balance equations are as follows [ 55–57 ] :

\frac{\partial ρ}{\partial t} + \nabla . (ρ \overset{true\to}{v}) = 0

\frac{\partial}{\partial t} (ρ \overset{true\to}{v}) + \nabla . (ρ \overset{true\to}{v} \overset{true\to}{v}) = - \nabla P + \nabla τ + ρ \overset{true\to}{g} + \overset{true\to}{F}

v \frac{\partial T}{\partial r} + u \frac{\partial T}{\partial x} = α [\frac{1}{r} \frac{\partial}{\partial r} (r \frac{\partial T}{\partial r}) + \frac{\partial^{2} T}{\partial x^{2}}]

where

P

ρ \overset{true\to}{g}

, and

\overset{true\to}{F}

are the static pressure, the gravitational body force, and external body force, respectively. v and u are the inlet gas velocities, in the directions of r , x , respectively, and

α

is the thermal diffusivity.…”

Section: Mathematical Modelling and Flow Geometrymentioning

confidence: 99%

The effect of heat transfer characteristics of macromolecule fouling on heat exchanger surface: A dynamic simulation study

et al. 2023

Self Cite

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“…Izgi and Arslan 265 suggested that the solidification time of the PCM could be reduced by 50% for a vertical capsule with a smaller diameter of 15 mm compared with 25 mm. Soodmand et al 266 assessed the melting and solidification properties of a PCM encapsulated in triangular, rectangular, and cylindrical closures in vertical or horizontal orientations. The horizontal rectangular shapes were found to have the shortest melting and solidification times.…”

Section: Thermal Enhancementmentioning

confidence: 99%

Recent Advances in CFD Simulations of Multiphase Flow Processes with Phase Change

Zhu

Zhang

et al. 2023

Ind. Eng. Chem. Res.

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Phase change is a phenomenon that has been extensively utilized in chemical engineering, energy, electronics, vehicle, and space exploration. From both the science and engineering perspectives, gaining a profound understanding of the intricacies of multiphase flow processes accompanied by heat and mass transfer due to phase change is of fundamental importance. Indeed, the computational fluid dynamics (CFD) has been increasingly applied as an effective tool to give an in-depth and efficient analysis of the phase change processes, thereby enhancing our understanding and capacity to control and optimize the phase change effects in these processes. This paper seeks to provide a comprehensive review of the utilization of CFD methodologies in the simulations of phase change flows across various applications, including temperature management, drying, separation and purification, and others. First, the CFD models at various scales that are developed to elucidate the phase change processes are summarized. Second, the noteworthy advances in the recent CFD simulation work on various phase change processes are presented, respectively. Finally, the challenges and potential prospects to facilitate the application of the phase change flow are discussed. The current review aims to offer insightful guidance for the CFD modeling of phase change processes in numerous engineering application scenarios.

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“…CFD analysis results using a heatsink [11] Furthermore, research from [14] examined CFD modeling of an environmentally friendly cooling system using nanofluid and passive fin heat transfer techniques. The method used in this research is the use of 3D CFD software to study the effect of nanofluid and fins on CPU heat management [14], [15]. Apart from fin design, the influence of heat sink materials (fins and beams) made of silver, nickel, and copper, and variations in nanoparticle volume fraction on CPU cooling [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Numerical study optimation design of CPU cooling system analysis using CFD method

Yudanto,

Inderanata,

Johan

et al. 2023

AET

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Computers often experience damage to the CPU, especially the mainboard and processor, due to several factors, including human error or excessive use and environmental conditions. Component placement is frequently utilized to improve the CPU room conditions to keep it cool. This research numerically investigates desktop PC processors and heatsink configurations for mechanical engineering vocational learning. The kind of metal material, number of fans, and fan arrangement were all tested at three levels. The computer components in this research are the CPU, heatsink, fan, and processor—a 65-watt Thermal Design Power (TDP) CPU with a constant air intake speed of 5 m/s. The criteria investigated include metal type (steel, aluminum, and copper), cooling design (horizontal, vertical, and mixed), and fan count (2-4-8). The methods used in this research are the Computational Fluid Dynamics (CFD) method and the Taguchi method to examine fluid flow characteristics and temperature. Numerical results show the maximum temperature is 123 °C in the vertical, eight-fan, and steel configurations. Minimum temperature 39.22 °C in mixed configuration, eight fans, and copper. These findings reveal that the kind of metal material, number of fans, and fan arrangement all impact the CPU cooler and heatsink configuration. However, the Taguchi method can provide a more detailed understanding of configuration.

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Simulation of melting and solidification process of polyethylene glycol 1500 as a PCM in rectangular, triangular, and cylindrical enclosures

Cited by 26 publications

References 31 publications

The effect of heat transfer characteristics of macromolecule fouling on heat exchanger surface: A dynamic simulation study

The effect of heat transfer characteristics of macromolecule fouling on heat exchanger surface: A dynamic simulation study

Recent Advances in CFD Simulations of Multiphase Flow Processes with Phase Change

Numerical study optimation design of CPU cooling system analysis using CFD method

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