Implementation and Validation of OpenFOAM for Thermal Convection of Airflow

Suvanjumrat, Chakrit

doi:10.4186/ej.2017.21.5.225

Cited by 22 publications

(6 citation statements)

References 17 publications

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“…Thus, the initial heat loss to the ambient is primarily due to convection from the solid-ice layer. The congugate heat transfer between solid-ice layer and air can be computed numerically [29,30], or using empirical formulae. In still air, this heat loss from the top of the ice-layer to the ambient is from natural convection.…”

Section: Methodsmentioning

confidence: 99%

The Effect of Water Evaporation in Automotive Windshield Defrosting

Amnuayphan¹,

Thanapatpanich²,

Silva³

et al. 2019

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Water evaporation during windshield defrosting is investigated paying particular attention to the effects of air humidity and wind speed. During the defrosting process, the ice layer on the windshield begins to melt as the temperature of the defrost air increases. Results have shown that the iceturned-water can evaporate depending upon the ambient air humidity level and the wind speed. Water evaporation takes the heat otherwise available for melting, thereby delaying the ice melting process. It is found that at low wind speeds the effect of air humidity in delaying the ice-melting is minimal. However, at high wind speeds, (>10 m/s) water evaporation can take enough heat away from melting, thereby significantly reducing the ice removal rate. In relation to this, driver safety concerns associated with the reduction of ice melting rate are discussed.

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Section: Methodsmentioning

confidence: 99%

The Effect of Water Evaporation in Automotive Windshield Defrosting

Amnuayphan¹,

Thanapatpanich²,

Silva³

et al. 2019

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“…The constants for the k-ε model, denoted as 𝐶 𝜇 , 𝐶 𝜀1 , 𝐶 𝜀2 ,  𝑘 , and  𝜀 , have specific values, where 𝐶 𝜇 is 0.09, 𝐶 𝜀1 is 1.44, 𝐶 𝜀2 is 1.92,  𝑘 is 1.0, and  𝜀 is 1.3 [13].…”

Section: Turbulence Modelmentioning

confidence: 99%

Development of a Baghouse Filter CFD Model for Efficient Particulate Removal in Air Filtration Systems

Punyaponchai

2024

GEOMATE

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Air pollution poses a serious challenge for our capital city, and one crucial line of defense is effective dust control. Employing computational fluid dynamics (CFD), we designed a dust collector aimed at efficiently tackling particles smaller than 10 micrometers, a critical factor in combating air pollution. OpenFOAM, an open-source CFD software, was instrumental in this design process. Notably, our dust collector is equipped with bag filters capable of filtering PM 2.5. The application of the k-ε turbulence model governed the flow through the baghouse in our CFD model, while the bag filter was treated as a porous medium following Darcy's law. To validate our approach, we conducted an airflow experiment through a bag filter installed in the baghouse, determining the coefficient of Darcy's equation and benchmarking against CFD results. Impressively, our baghouse model exhibited an average error of less than 6.46%. This CFD-guided modeling not only minimizes trial and error in design but also provides manufacturers with insights to optimize and innovate baghouses in the future.

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“…Second order upwind scheme was used for special discretization. Equation (2) and (3) is also called theReynolds-Averaged Navier-Stokes (RANS) equations [22], [23]. Additional terms − ′ ′ in (3), represents the effects of turbulence.…”

Section: B Governing Equationmentioning

confidence: 99%

Multi-Stage Filter Designs for a Gasifier System

2019

IJRTE

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Most of the previous investigations on flow control devices have been reported on single-stage perforated plate with variable porosity and circular holes. This is the reason that functional relationships for pressure loss coefficient or Euler number (Eu) variation reported earlier are a strong function of porosity. In this paper, multi-stage filter design with constant porosity has been investigated using an experimentally validated numerical model. Several researchers have worked on the design of the producer gas cleaning system by using different filter materials such as electrostatic precipitators, wet scrubber, ceramics, fabric, and sand bed separately. However, these methods are inefficient in the final stages of the gas purification. Hence, multi-stage filters designs are conceived and investigated. Effect on pressure loss coefficient variation has been investigated for different hole geometry having same porosity with multiple filters. In a first, four new correlations has been developed for Eu variation as function of number of filters and different hole shapes. The Eu variation has the form: Eu = a(N)b (t/dh) c where N is the number of filters, a, b and c are constants whose value depend on the type of hole geometry. The prediction from correlation agrees within 4% accuracy with the numerical data

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Implementation and Validation of OpenFOAM for Thermal Convection of Airflow

Cited by 22 publications

References 17 publications

The Effect of Water Evaporation in Automotive Windshield Defrosting

The Effect of Water Evaporation in Automotive Windshield Defrosting

Development of a Baghouse Filter CFD Model for Efficient Particulate Removal in Air Filtration Systems

Multi-Stage Filter Designs for a Gasifier System

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