Investigation the effect of superficial velocity to the heat transfer in bubbling regime of fluidization using CFD simulation

Widiawaty, Candra Damis; Siswantara, Ahmad Indra; Budiarso,; Daryus, Asyari; Gunadi, Gun Gun Ramdlan; Pujowidodo, Hariyotejo

doi:10.1063/1.5138279

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…It also has been used by several researchers with good simulation results. Moreover, researchers are familiar with the appearance of this software, making it easier to do simulations [28,[30][31][32]. The main simulation objective is to study the effects of changing the 𝜎 𝜀 value from 0.5 to 1.5 on the recirculating flow prediction performance using the Standard 𝑘 − 𝜀 turbulence model.…”

Section: Modeling Of Turbulent Recirculating Flow In a Crossflow Wate...mentioning

confidence: 99%

Optimization of inverse-Prandtl of Dissipation in standard k-ε Turbulence Model for Predicting Flow Field of Crossflow Turbine

Widiawaty

Siswantara

Gunadi

et al. 2022

CFDL

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Despite the successful use of the Standard model in simulating turbulent flow for many industrially relevant flows, the model is still less accurate for a range of important problems, such as unconfined flows, curved boundary layers, rotating flows, and recirculating flows. As part of the authors’ effort to extend the model applicability and reliability, this paper aims to study the effects of diffusivity parameter called the turbulent Prandtl number of dissipation rate () on the Standard model performance for predicting recirculating flow in a crossflow water turbine. The value of this parameter was varied from 0.5 to 1.5 in the CFD simulations, and the results were compared to the more sophisticated model, namely the RNG , which has been first qualitatively validated by an experimental result. In addition, the parameter value was also adjusted using the Multi-Linear Regression (MLR) method ranging from 0.42 to 1.5 to complement the CFD simulations. It was observed that reducing the value is effective in minimizing the average deviation of the turbulence properties concerning the RNG model. However, the adjusted model still faces difficulty in accurately predicting the pressure and velocity field. Based on this result, adjusting the constant in the Standard turbulence model has the potential to improve the model performance for modelling recirculating flow in terms of the turbulence properties, but still needs further investigation for the flow properties.

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Section: Modeling Of Turbulent Recirculating Flow In a Crossflow Wate...mentioning

confidence: 99%

Optimization of inverse-Prandtl of Dissipation in standard k-ε Turbulence Model for Predicting Flow Field of Crossflow Turbine

Widiawaty

Siswantara

Gunadi

et al. 2022

CFDL

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“…Computational Fluid Dynamics (CFD) employs sophisticated algorithms to predict various fluid phenomena, making it a vital tool for analyzing fluid flows, including turbulence, heat transfer, particle dispersion, phase changes, and chemical reactions [1][2][3][4]. Researchers and practitioners extensively utilize CFD to optimize equipment performance, investigate failures, and improve operational parameters [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Mesh Resolution Effect to Numerical Result of CFD-ROM: Turbulent Flow in Stationary Parallel Plate

Candra Damis Widiawaty,

Ahmad Indra Siswantara,

Muhammad Arif Budiyanto

et al. 2024

CFDL

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Computational fluid dynamics (CFD) is extensively utilized to predict flow behaviour in various industries and applications. The Full Order Model (FOM) is a high-accuracy approach to flow modelling, but it requires significant computational resources due to its high order and thousands of variables. To address this problem, the Reduced Order Model (ROM) was developed. Despite the advancement brought by ROM, there is a notable gap in research concerning the impact of mesh configuration on CFD-ROM results. While the number of modes has been extensively studied for its influence on CFD-ROM, the mesh configuration, a critical aspect of the simulation process, has received relatively limited attention. This study investigates the effect of mesh resolution on numerical results in CFD-ROM concerning turbulent flow within stationary parallel plates. Employing rigorous methods, including Richardson Extrapolation, verification, validation, and error percentage. The results explicitly confirm that mesh resolution directly impacts the numerical results of the velocity field in CFD-ROM. It is found that there is a notable reduction in Convergence Grid Index (CGI) values for different mesh ratios: 6.401% for medium-to-coarse and 2.031% for fine-to-medium ratio. Thus, with the same mode number, mesh resolution selection can enhance the numerical result of the velocity field in CFD-ROM.

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Investigation the effect of superficial velocity to the heat transfer in bubbling regime of fluidization using CFD simulation

Cited by 2 publications

References 16 publications

Optimization of inverse-Prandtl of Dissipation in standard k-ε Turbulence Model for Predicting Flow Field of Crossflow Turbine

Optimization of inverse-Prandtl of Dissipation in standard k-ε Turbulence Model for Predicting Flow Field of Crossflow Turbine

Analysis of Mesh Resolution Effect to Numerical Result of CFD-ROM: Turbulent Flow in Stationary Parallel Plate

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