Assessment of RANS turbulence models on predicting supercritical heat transfer in highly buoyant horizontal flows

Wang, Jianyong; Gong, Jishuang; Kang, Xin; Zhao, Chunrong; Hooman, Kamel

doi:10.1016/j.csite.2022.102057

Cited by 10 publications

(2 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the industrial context, SCO 2 exhibits excellent heat transfer properties, and CFD simulation of sCO 2 heat transfer behavior assists in the production of industrial equipment [95,96]. For the supercritical drying process of gel particles, CFD models can track changes in velocity, pressure, temperature, composition, and other parameter fields of the studied system under arbitrary boundaries and initial conditions, optimizing equipment to reduce drying time [97]. In the medical field, CFD is commonly used in vascular imaging to aid in precise medical treatments [98].…”

Section: Cfd Modelsmentioning

confidence: 99%

Simulation and Optimization: A New Direction in Supercritical Technology Based Nanomedicine

Huang,

Zheng,

et al. 2023

Bioengineering

View full text Add to dashboard Cite

In recent years, nanomedicines prepared using supercritical technology have garnered widespread research attention due to their inherent attributes, including structural stability, high bioavailability, and commendable safety profiles. The preparation of these nanomedicines relies upon drug solubility and mixing efficiency within supercritical fluids (SCFs). Solubility is closely intertwined with operational parameters such as temperature and pressure while mixing efficiency is influenced not only by operational conditions but also by the shape and dimensions of the nozzle. Due to the special conditions of supercriticality, these parameters are difficult to measure directly, thus presenting significant challenges for the preparation and optimization of nanomedicines. Mathematical models can, to a certain extent, prognosticate solubility, while simulation models can visualize mixing efficiency during experimental procedures, offering novel avenues for advancing supercritical nanomedicines. Consequently, within the framework of this endeavor, we embark on an extensive review encompassing the application of mathematical models, artificial intelligence (AI) methodologies, and computational fluid dynamics (CFD) techniques within the medical domain of supercritical technology. We undertake the synthesis and discourse of methodologies for calculating drug solubility in SCFs, as well as the influence of operational conditions and experimental apparatus upon the outcomes of nanomedicine preparation using supercritical technology. Through this comprehensive review, we elucidate the implementation procedures and commonly employed models of diverse methodologies, juxtaposing the merits and demerits of these models. Furthermore, we assert the dependability of employing models to compute drug solubility in SCFs and simulate the experimental processes, with the capability to serve as valuable tools for aiding and optimizing experiments, as well as providing guidance in the selection of appropriate operational conditions. This, in turn, fosters innovative avenues for the development of supercritical pharmaceuticals.

show abstract

Section: Cfd Modelsmentioning

confidence: 99%

Simulation and Optimization: A New Direction in Supercritical Technology Based Nanomedicine

Huang,

Zheng,

et al. 2023

Bioengineering

View full text Add to dashboard Cite

show abstract

“…The k-omega SST model was used in the RANS portion to obtain the inlet velocity and turbulence quantities. The equations of the turbulence kinetic energy (k) and the specific dissipation rate (ω) for the SST k-ω model are as follows [28,29]:…”

Section: Governing Equations Of Sst K-ω Modelmentioning

confidence: 99%

Numerical Simulation of Non-Isothermal Mixing Flow Characteristics with ELES Method

Sun

Wang²,

Jiang

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

Thermal fatigue caused by turbulent thermal mixing in tee pipes is always one of the failure factors of industrial pipes. At present, computational fluid dynamics (CFD) is still the main research method to study the thermal fatigue mechanism. Due to the limitations of the large eddy simulation (LES) model and the classical Reynolds Averaged Navier–Stokes (RANS) model in simulating thermal mixing, an advanced Embedded LES (ELES) model was developed. By comparing the model with data in the open literature, the validity of the ELES model to iso-thermal mixing was evaluated and proven. After that, the flow characteristics of the backflow upstream with different momentum ratios (MR) were studied using the ELES method, as well as the temperature characteristics near the wall where the backflow appears. It was found that the characteristics of the backflow and the temperature distribution upstream in the tee were different with different MR values and some regions under specified MR values are found to be more prone to thermal fatigue at the intersection of the tee upstream. Moreover, the frequency analysis at specified points near the wall under three different MR values was estimated to evaluate thermal fatigue and the results showed that long-period fluctuations of lower frequencies than 6 Hz upstream were observed. This work helps form a comprehensive understanding of the backflow in thermal mixing and the relationship between fatigue and backflow in the tee.

show abstract

Study on the effect of ocean rolling motion on the thermal–hydraulic performance of supercritical carbon dioxide in horizontal tube

Shao,

Li,

et al. 2023

Annals of Nuclear Energy

View full text Add to dashboard Cite

Assessment of RANS turbulence models on predicting supercritical heat transfer in highly buoyant horizontal flows

Cited by 10 publications

References 40 publications

Simulation and Optimization: A New Direction in Supercritical Technology Based Nanomedicine

Simulation and Optimization: A New Direction in Supercritical Technology Based Nanomedicine

Numerical Simulation of Non-Isothermal Mixing Flow Characteristics with ELES Method

Study on the effect of ocean rolling motion on the thermal–hydraulic performance of supercritical carbon dioxide in horizontal tube

Contact Info

Product

Resources

About