Numerical study on polydisperse particle deposition in a compact heat exchanger

Hosseini, Siavash; Khoshkhoo, Ramin Haghighi; Malabad, S.M. Javadi

doi:10.1016/j.applthermaleng.2017.08.023

Cited by 29 publications

(6 citation statements)

References 49 publications

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“…The dynamic nature of vortex shedding and deposition phenomenon led to a transient approach with a time step size equal to 10 -3 s which ensures a Courant number < 1. The model was developed using the Discrete Phase Model DPM in Fluent ® [21]. The Eulerian model describes the continuous phase and the Lagrangian model is used to describe particle trajectories.…”

Section: Geometry and Model Set Upmentioning

confidence: 99%

Deposition prediction in a pilot scale pulverized fuel-fired combustor

Riccio

Simms

Oakey

2019

Fuel

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Section: Geometry and Model Set Upmentioning

confidence: 99%

Deposition prediction in a pilot scale pulverized fuel-fired combustor

Riccio

Simms

Oakey

2019

Fuel

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“…During the period of time from 11 to 76 minutes, during which the heat exchanger was blown by a dusty air stream, the pressure drop doubled while the heat transfer decreased, but not significantly. Hosseini et al [25] studied the influence of dust particle size (1-1500 μm) and air flow velocity (1-5 m/s) on pressure drop. The authors found that an increase in the size and mass of dust particles contributes to an increase in pressure drop.…”

Section: Introductionmentioning

confidence: 99%

Study of the influence of fin-plate heat exchanger geometry on dust particle deposition and heat transfer based on numerical calculation

Soloveva,

Solovev,

Golubev

et al. 2023

E3S Web Conf.

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Cooling systems are actively used in computer technology to cool various electronic devices, for example, the central processor units (CPU). CPUs generate heat while operating, which slows down the processing speed of information, and overheating often causes the CPU to shut down or even crash. Cooling systems are designed to remove heat from the CPU. Often, during operation of the cooling system, its main element – the fin-plate heat exchanger becomes covered with a layer of dust, which significantly reduces the rate of heat transfer and can lead to CPU failure. In this work, we carried out numerical modeling of dust particles deposition on the surface of fin-plate heat exchangers of various geometries. We studied the influence of the fin shape (flat or corrugated), as well as the distance between the fins (from 1.75 to 7 mm) on the efficiency of particle deposition and the change in heat flow.

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“…Moreover, the discrete nature of the particle phase is inherently accounted for in the Eulerian–Lagrangian approach, which is unlike the Eulerian–Eulerian approach where fluid and particle phases are assumed to have thermal equilibrium and the particle phase is treated from an Eulerian perspective without description of the relevant micro-scale processes and particle trajectories. This translates into the capacity of the Eulerian–Lagrangian approach to accommodate such physical phenomena as particle size distribution (Kondaraju, Jin & Lee 2011), particle–particle interactions (Gorman & Sparrow 2018), particle–wall interactions (Baghdar Hosseini, Haghighi Khoshkhoo & Javadi Malabad 2017), non-spherical particle geometries (Liu et al. 2018), turbulent diffusion (Loth 2000), particle clustering (Breuer & Almohammed 2015) and flow with different particle types (Bhattad et al.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of nanofluid particle migration and convective heat transfer in microchannels using an Eulerian–Lagrangian approach

et al. 2019

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An Eulerian–Lagrangian modelling approach was employed in order to investigate the flow field, heat transfer and particle distribution in nanofluid flow in a parallel-plate microchannel, with a focus on relatively low Reynolds numbers ($Re\leqslant 100$). Momentum and thermal interactions between fluid and particle phases were accounted for using a transient two-way coupling algorithm implemented within an in-house code that tracked the simultaneous evolution of the carrier and particulate phases while considering timescale differences between the two phases. The inaccuracy of assuming a homogeneous particle distribution in modelling nanofluid flow in microchannels was established. In particular, shear rate and thermophoresis were found to play a key role in the lateral migration of nanoparticles and in the formation of particle depletion and accumulation regions in the vicinity of the channel walls. At low Reynolds numbers, nanoparticle distribution near the walls was observed to gradually flatten in the streamwise direction. On the other hand, for relatively higher Reynolds numbers, higher particle non-uniformities were observed in the vicinity of the channel walls. Furthermore, it was established that convective heat transfer between channel walls and the bulk fluid can either improve or deteriorate with the addition of nanoparticles, depending on whether the flow exceeded a critical Reynolds number of enhancement. It was also established that Brownian motion and thermophoresis had a major role in nanoparticle deposition on the channel walls. In particular, Brownian motion was the main deposition mechanism for nano-sized particles, whereas due to thermophoresis, nanoparticles were repelled away from channel walls. The result of the competition between the two is that deposition gradually increased along the streamwise direction.

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Numerical study on polydisperse particle deposition in a compact heat exchanger

Cited by 29 publications

References 49 publications

Deposition prediction in a pilot scale pulverized fuel-fired combustor

Deposition prediction in a pilot scale pulverized fuel-fired combustor

Study of the influence of fin-plate heat exchanger geometry on dust particle deposition and heat transfer based on numerical calculation

Numerical investigation of nanofluid particle migration and convective heat transfer in microchannels using an Eulerian–Lagrangian approach

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