Matched refractive-index PIV visualization of complex flow structure in a three-dimentionally connected dual elbow

Yuki, Kazuhisa; Hasegawa, Satoru; Sato, T.; Hashizume, Hidetoshi; Aizawa, Kosuke; Yamano, Hidemasa

doi:10.1016/j.nucengdes.2010.12.026

Cited by 39 publications

(9 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is not unexpected since the swirl effect lessens with increasing separation distance. The high mass transfer near the second elbow inner wall is consistent with the high flow velocity in this region evident in the flow measurements of Murakami et al (1969) and Yuki et al (2011). Yuki et al (2011) reported a maximum velocity as high as 1.9 times the mean velocity at this vicinity, with high levels of turbulence as well.…”

Section: Resultssupporting

confidence: 81%

“…A larger pressure drop is often correlated with higher wall shear stresses and in turn higher mass transfer rates (Poulson, 1999). The particle image velocimetry flow data of Yuki et al (2011) in an out of plane elbow configuration showed high velocity and turbulence levels in the second elbow that was associated with a swirling flow. Swirl flow has been shown to increase heat transfer in piping (Sparrow and Chaboki, 1984;Yilmaz et al, 1999), and thus likely promote mass transfer based on the analogy between heat and mass transfer.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mass transfer in back-to-back elbows arranged in an out of plane configuration

Lê

Ewing

Schefski

et al. 2014

Nuclear Engineering and Design

View full text Add to dashboard Cite

Section: Resultssupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Mass transfer in back-to-back elbows arranged in an out of plane configuration

Lê

Ewing

Schefski

et al. 2014

Nuclear Engineering and Design

View full text Add to dashboard Cite

“…Typical NaI solutions matching the RI of PMMA have concentrations in the range of 60.0-64.8 wt%, yielding a RI in the range 1.485-1.491 (Imao et al 1996;Parker and Merati 1996;Uzol et al 2002;Mehta et al 2007;Uzol et al 2007;Soranna et al 2008;Yuki et al 2008;Wu et al 2009;Amatya and Longmire 2010;Wu et al 2011Wu et al , 2012Yuki et al 2011;Yuan et al 2012;Tomac and Gregory 2014). A detailed study of the use of NaI for RI matching (aimed at PIV measurements) over an even wider RI range (1.330-1.510) was performed by Bai and Katz (2014), who also matched NaI solutions to three optical solids formed from resins with RIs in the range 1.495-1.508.…”

Section: Aqueous and Hydrophilic Liquidsmentioning

confidence: 99%

A review of solid–fluid selection options for optical-based measurements in single-phase liquid, two-phase liquid–liquid and multiphase solid–liquid flows

2017

View full text Add to dashboard Cite

Experimental techniques based on optical measurement principles have experienced significant growth in recent decades. They are able to provide detailed information with high-spatiotemporal resolution on important scalar (e.g., temperature, concentration, and phase) and vector (e.g., velocity) fields in single-phase or multiphase flows, as well as interfacial characteristics in the latter, which has been instrumental to step-changes in our fundamental understanding of these flows, and the development and validation of advanced models with ever-improving predictive accuracy and reliability. Relevant techniques rely upon well-established optical methods such as direct photography, laser-induced fluorescence, laser Doppler velocimetry/phase Doppler anemometry, particle image/tracking velocimetry, and variants thereof. The accuracy of the resulting data depends on numerous factors including, importantly, the refractive indices of the solids and liquids used. The best results are obtained when the observational materials have closely matched refractive indices, including test-section walls, liquid phases, and any suspended particles. This paper reviews solid–liquid and solid–liquid–liquid refractive-index-matched systems employed in different fields, e.g., multiphase flows, turbomachinery, bio-fluid flows, with an emphasis on liquid–liquid systems. The refractive indices of various aqueous and organic phases found in the literature span the range 1.330–1.620 and 1.251–1.637, respectively, allowing the identification of appropriate combinations to match selected transparent or translucent plastics/polymers, glasses, or custom materials in single-phase liquid or multiphase liquid–liquid flow systems. In addition, the refractive indices of fluids can be further tuned with the use of additives, which also allows for the matching of important flow similarity parameters such as density and viscosity

show abstract

“…The capturing of these secondary flow features has been studied extensively by Takamura et al [98], Yuki et al [127], Tanaka and Ohshima [99] amongst others for the Japan Sodium cooled Fast Reactor (JSFR).…”

Section: Nuclear Applicationsmentioning

confidence: 99%

“…The understanding of flow phenomena such as thermal fatigue in T-juctions [27], traverse vibration due to generation of Dean vortex [21] switching in pipe elbows [127] and the application of ribbed ducts to enhance heat transfer [64] have benefitted from CFD of one form or another for several decades now. A commonly used approach in industrial CFD involves solving the discretised Reynolds averaged Navier-Stokes (RANS) equations, with closure provided by a turbulence model.…”

Section: Introductionmentioning

confidence: 99%

A Review of Embedded Large Eddy Simulation for Internal Flows

Holgate

Skillen

Craft

et al. 2018

Arch Computat Methods Eng

View full text Add to dashboard Cite

When scale-resolving simulation approaches are employed for the simulation of turbulent flow, computational cost can often be prohibitive. This is particularly true for internal wall-bounded flows, including flows of industrial relevances which may involve both high Reynolds number and geometrical complexity. Modelling the turbulence induced stresses (at all scales) has proven to lack requisite accuracy in many situations. In this work we review a promising family of approaches which aim to find a compromise between cost and accuracy; hybrid RANS-LES methods. We place particular emphasis on the emergence of embedded large eddy simulation. These approaches are summarised and key features relevant to internal flows are highlighted. A thorough review of the application of these methods to internal flows is given, where hybrid approaches have been shown to offer significant benefits to industrial CFD (relative to an empirical broadband modelling of turbulence). This paper concludes by providing a cost-analysis and a discussion about the emerging novel use-modalities for hybrid RANS-LES methods in industrial CFD, such as automated embedded simulation and multi-dimensional coupling.

show abstract

Matched refractive-index PIV visualization of complex flow structure in a three-dimentionally connected dual elbow

Cited by 39 publications

References 5 publications

Mass transfer in back-to-back elbows arranged in an out of plane configuration

Mass transfer in back-to-back elbows arranged in an out of plane configuration

A review of solid–fluid selection options for optical-based measurements in single-phase liquid, two-phase liquid–liquid and multiphase solid–liquid flows

A Review of Embedded Large Eddy Simulation for Internal Flows

Contact Info

Product

Resources

About