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Turbulent flow and vortex characteristics in a blocked subchannel of a helically wrapped rod bundle

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Abstract

The study of flow and heat transfer through a bundle of rods is important, as this type of configuration is widely used in many engineering applications, for example, in heat exchangers, clusters of support structures, steam generators, and nuclear power reactors. This work experimentally investigated the flow-field characteristics of rod bundles with helically wrapped wires (wire-wrapped rod assemblies) proposed for advanced burner reactors. Subchannel blockage is one of the most interesting accident scenarios for liquid metal fast reactors as different mechanisms can lead to a partial or total subchannel blockage. It is of paramount important to understand the thermal-hydraulic behavior of the flow in the vicinity of such blockages. The flow mixing characteristics in two interior subchannels located near the core of the bundle, one without and one with the presence of a blockage, were experimentally investigated. The velocity fields within the spatial gaps of two subchannels were obtained by applying the matched-index-of-refraction and time-resolved particle image velocimetry (TR-PIV) technique for Reynolds numbers of 4000 and 17,000. The first- and second-order statistics, including the mean velocity, root-mean-square fluctuating velocity, and Reynolds stress, were computed from the obtained TR-PIV velocity vector fields. In the blocked sub-channel, the TR-PIV results revealed a large recirculation flow region in the vicinity of the blockage that was created by the interaction between inflows from neighboring subchannels. Spectral analysis was performed and the vortex shedding frequency indicated by the Strouhal number was found to be \(St=0.16\) for the two Reynolds numbers investigated. The flow characteristics of the interior subchannels were investigated via the two-point cross-correlation of fluctuating velocities. In addition, proper orthogonal decomposition (POD) analysis was applied to the instantaneous vorticity fields to extract the statistically dominant flow structures. Finally, the statistical characteristics of the vortex, such as the vortex populations, spatial distributions, and vortex strengths, were acquired by combining POD analysis and the vortex identification algorithm.

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Abbreviations

\(\langle\cdot\rangle\) :

Time-averaged operator

\(\epsilon _N\) :

Absolute difference between the statistics

\(\eta\) :

Separation length (mm)

\(\mu\) :

Dynamic viscosity of p-cymene (Pa s)

\(\mu _{\varGamma },\sigma _{\varGamma }\) :

Mean and standard deviation of vortex strength (mm\(^2\)/s)

\(\mu _{A},\sigma _{A}\) :

Mean and standard deviation of vortex area (mm\(^2\))

\(\nu\) :

Kinematic viscosity of p-cymene (m\(^2\)/s)

\(\tau\) :

time delay (s)

\(R_{uu0},R_{vv0}\) :

Velocity–velocity spatial cross-correlation coefficients

\(R_{uu},R_{vv}\) :

Velocity–velocity spatial–temporal cross-correlation coefficients

Re :

\(=U_{\text {m}}\times D_\text {h}/\nu\), Reynolds number

\(D_\text {e}\) :

Eddy size (mm)

\(D_\text {h}\) :

Rod bundle hydraulic diameter (mm)

\(d_\text {s}\) :

Width of interior subchannels CSC1 and CSC2 (mm)

f :

Sampling frequency (Hz)

N :

Number of samples

\(P_\text {d}\) :

Rod/pin diameter (mm)

\(P_\text {t}\) :

Pitch length of rod/pin (mm)

UV :

Horizontal and vertical time-averaged velocities (m/s)

\(u^{\prime },v^{\prime }\) :

Horizontal and vertical fluctuating velocities (m/s)

\(u^{\prime }_{\text {rms}},v^{\prime }_{\text {rms}}\) :

Horizontal and vertical root-mean-square fluctuating velocities (m/s)

\(u^{\prime }v^{\prime }\) :

Reynolds stress (m\(^2\)/s\(^2\))

\(U_\text {c}\) :

Convection velocity (m/s)

\(U_\text {m}\) :

Mean bulk flow velocity (m/s)

\(W_\text {d}\) :

Helical wire diameter (mm)

xy :

Horizontal (traversal), vertical (axial) directions

References

  • Adrian R, Christensen K, Liu ZC (2000) Analysis and interpretation of instantaneous turbulent velocity fields. Exp Fluids 29(3):275–290

    Google Scholar 

  • Ahmad I, Kim KY (2006) Flow and convective heat transfer analysis using RANS for a wire-wrapped fuel assembly. J Mech Sci Technol 20(9):1514–1524

    Google Scholar 

  • Alwafi A, Nguyen T, Hassan Y, Anand N (2019) Time-resolved particle image velocimetry measurements of a single impinging jet in the upper plenum of a scaled facility of high temperature gas-cooled reactors. Int J Heat Fluid Flow 76:113–129

    Google Scholar 

  • Amini N, Hassan YA (2009) Measurements of jet flows impinging into a channel containing a rod bundle using dynamic PIV. Int J Heat Mass Transf 52(23–24):5479–5495

    Google Scholar 

  • Amini N, Hassan YA (2012) An investigation of matched index of refraction technique and its application in optical measurements of fluid flow. Exp Fluids 53(6):2011–2020

    Google Scholar 

  • Amiri S, Taher R, Mongeau L (2017) Quantitative visualization of temperature field and measurement of local heat transfer coefficient over heat exchanger elements in sinusoidal oscillating flow. Exp Therm Fluid Sci 85:22–36

    Google Scholar 

  • Atkinson C, Buchmann NA, Soria J (2015) An experimental investigation of turbulent convection velocities in a turbulent boundary layer. Flow Turbul Combust 94(1):79–95

    Google Scholar 

  • Berkooz G, Holmes P, Lumley JL (1993) The proper orthogonal decomposition in the analysis of turbulent flows. Annu Rev Fluid Mech 25(1):539–575

    MathSciNet  Google Scholar 

  • Bhattacharya A, Yu S, Kawall G (2012) Numerical simulation of turbulent flow through a 37-element candu fuel bundle. Ann Nucl Energy 40(1):87–105

    Google Scholar 

  • Boomsma A, Bhattacharya S, Troolin D, Pothos S, Vlachos P (2016) A comparative experimental evaluation of uncertainty estimation methods for two-component PIV. Meas Sci Technol 27(9):094006

    Google Scholar 

  • Brockmeyer L, Carasik LB, Merzari E, Hassan Y (2017) Numerical simulations for determination of minimum representative bundle size in wire wrapped tube bundles. Nucl Eng Des 322:577–590

    Google Scholar 

  • Carlier J, Stanislas M (2005) Experimental study of eddy structures in a turbulent boundary layer using particle image velocimetry. J Fluid Mech 535:143–188

    MathSciNet  MATH  Google Scholar 

  • Chai X, Liu X, Xiong J, Cheng X (2019) Cfd analysis of flow blockage phenomena in a lbe-cooled 19-pin wire-wrapped rod bundle. Nuc Eng Des 344:107–121

    Google Scholar 

  • Charonko JJ, Vlachos PP (2013) Estimation of uncertainty bounds for individual particle image velocimetry measurements from cross-correlation peak ratio. Meas Sci Technol 24(6):065301

    Google Scholar 

  • Chen Q, Zhong Q, Qi M, Wang X (2015) Comparison of vortex identification criteria for planar velocity fields in wall turbulence. Phys Fluids 27(8):085101

    Google Scholar 

  • Chen S, Todreas N, Nguyen N (2014) Evaluation of existing correlations for the prediction of pressure drop in wire-wrapped hexagonal array pin bundles. Nucl Eng Des 267:109–131

    Google Scholar 

  • Chen S, Chen Y, Todreas N (2018) The upgraded cheng and todreas correlation for pressure drop in hexagonal wire-wrapped rod bundles. Nucl Eng Des 335:356–373

    Google Scholar 

  • Cheng SK, Todreas NE (1986) Hydrodynamic models and correlations for bare and wire-wrapped hexagonal rod bundles-bundle friction factors, subchannel friction factors and mixing parameters. Nucl Eng Des 92(2):227–251

    Google Scholar 

  • Chong MS, Perry AE, Cantwell BJ (1990) A general classification of three-dimensional flow fields. Phys Fluids A Fluid Dyn 2(5):765–777

    MathSciNet  Google Scholar 

  • Dennis DJ, Nickels TB (2008) On the limitations of Taylor’s hypothesis in constructing long structures in a turbulent boundary layer. J Fluid Mech 614:197–206

    MathSciNet  MATH  Google Scholar 

  • Di Piazza I, Magugliani F, Tarantino M, Alemberti A (2014) A CFD analysis of flow blockage phenomena in alfred LFR demo fuel assembly. Nucl Eng Des 276:202–215

    Google Scholar 

  • dos Santos AAC, Childs M, Nguyen TD, Hassan Y (2019) Convergence study and uncertainty quantification of average and statistical PIV measurements in a matched refractive index 5\(\times\) 5 rod bundle with mixing vane spacer grid. Exp Therm Fluid Sci 102:215–231

    Google Scholar 

  • Dumas R (1990) Observations on the boundary layer based on measured correlations with various improvements. Near Wall Turbul 1:437–452

    Google Scholar 

  • Eckstein A, Vlachos PP (2009a) Assessment of advanced windowing techniques for digital particle image velocimetry (DPIV). Meas Sci Technol 20(7):075402

    Google Scholar 

  • Eckstein A, Vlachos PP (2009b) Digital particle image velocimetry (DPIV) robust phase correlation. Meas Sci Technol 20(5):055401

    Google Scholar 

  • Eckstein AC, Charonko J, Vlachos P (2008) Phase correlation processing for DPIV measurements. Exp Fluids 45(3):485–500

    Google Scholar 

  • Fischer P, Lottes J, Siegel A, Palmiotti G (2007) Large eddy simulation of wire-wrapped fuel pins I: hydrodynamics of a single pin. In: Proceedings of M and C+ SNA

  • Gajapathy R, Velusamy K, Selvaraj P, Chellapandi P (2015) CFD investigation of effect of helical wire-wrap parameters on the thermal hydraulic performance of 217 fuel pin bundle. Ann Nucl Energy 77:498–513

    Google Scholar 

  • Goth N, Jones P, Nguyen D, Vaghetto R, Hassan Y, Obabko A, Merzari E, Fischer P (2018a) Comparison of experimental and simulation results on interior subchannels of a 61-pin wire-wrapped hexagonal fuel bundle. Nucl Eng Des 338:130–136

    Google Scholar 

  • Goth N, Jones P, Nguyen TD, Vaghetto R, Hassan Y, Salpeter N, Merzari E (2018b) Ptv/piv measurements of turbulent flows in interior subchannels of a 61-pin wire-wrapped hexagonal fuel bundle. Int J Heat Fluid Flow 71:295–304

    Google Scholar 

  • Graftieaux L, Michard M, Grosjean N (2001) Combining PIV, POD and vortex identification algorithms for the study of unsteady turbulent swirling flows. Meas Sci Technol 12(9):1422

    Google Scholar 

  • Gurka R, Liberzon A, Hetsroni G (2006) Pod of vorticity fields: a method for spatial characterization of coherent structures. Int J Heat Fluid Flow 27(3):416–423

    Google Scholar 

  • Han J (1977) Blockages in LMFBR fuel assemblies: a review of experimental and theoretical studies. Tech. rep., Oak Ridge National Lab., TN (USA)

  • Hassan Y, Philip O (1997) A new artificial neural network tracking technique for particle image velocimetry. Exp Fluids 23(2):145–154

    Google Scholar 

  • Hassan YA, Blanchat T (1991) Flow velocity measurements using digital pulsed laser velocimetry. Opt Eng 30(8):1220–1228

    Google Scholar 

  • Hassan YA, Dominguez-Ontiveros E (2008) Flow visualization in a pebble bed reactor experiment using PIV and refractive index matching techniques. Nuc Eng Des 238(11):3080–3085

    Google Scholar 

  • Holmes P, Lumley JL, Berkooz G (1998) Turbulence, coherent structures, dynamical systems and symmetry. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  • Huang AY, Huang MY, Capart H, Chen RH (2008) Optical measurements of pore geometry and fluid velocity in a bed of irregularly packed spheres. Exp Fluids 45(2):309–321

    Google Scholar 

  • Hudy LM, Naguib A, Humphreys WM (2007) Stochastic estimation of a separated-flow field using wall-pressure-array measurements. Phys Fluids 19(2):024103

    MATH  Google Scholar 

  • Hunt JC, Wray AA, Moin P (1988) Eddies, streams, and convergence zones in turbulent flows. In: Proceedings of the 1988 Summer Program of the Center for Turbulence Research (NASA Ames/Stanford University, 1988)

  • Hussain AF (1986) Coherent structures and turbulence. J Fluid Mech 173:303–356

    Google Scholar 

  • Iwaki C, Cheong K, Monji H, Matsui G (2004) Piv measurement of the vertical cross-flow structure over tube bundles. Exp Fluids 37(3):350–363

    Google Scholar 

  • Iwaki C, Cheong K, Monji H, Matsui G (2005) Vertical, bubbly, cross-flow characteristics over tube bundles. Exp Fluids 39(6):1024

    Google Scholar 

  • Jeong HY, Ha KS, Chang WP, Kwon YM, Lee YB (2005) Modeling of flow blockage in a liquid metal-cooled reactor subassembly with a subchannel analysis code. Nucl Technol 149(1):71–87

    Google Scholar 

  • Jeong J, Hussain F (1995) On the identification of a vortex. J Fluid Mech 285:69–94

    MathSciNet  MATH  Google Scholar 

  • Jones B, Planchon H, Hammersley R (1973) Turbulent correlation measurements in a two-stream mixing layer. AIAA J 11(8):1146–1150

    Google Scholar 

  • Kerhervé F, Fitzpatrick J (2011) Measurement and analysis of the turbulent length scales in jet flows. Exp Fluids 50(3):637–651

    Google Scholar 

  • Kolář V (2007) Vortex identification: new requirements and limitations. Int J Heat Fluid Flow 28(4):638–652

    Google Scholar 

  • Kostas J, Soria J, Chong M (2005) A comparison between snapshot pod analysis of PIV velocity and vorticity data. Exp Fluids 38(2):146–160

    Google Scholar 

  • Liberzon A, Gurka R, Tiselj I, Hetsroni G (2005) Spatial characterization of the numerically simulated vorticity fields of a flow in a flume. Theor Comput Fluid Dyn 19(2):115–125

    MATH  Google Scholar 

  • Linton D, Thornber B (2016) Direct numerical simulation of transitional flow in a staggered tube bundle. Phys Fluids 28(2):024111

    Google Scholar 

  • Lumley JL (1967) The structure of inhomogeneous turbulent flows. Atmos Turbul Radio Wave Propag:166–178

  • Maciel Y, Robitaille M, Rahgozar S (2012) A method for characterizing cross-sections of vortices in turbulent flows. Int J Heat Fluid Flow 37:177–188

    Google Scholar 

  • Merzari E, Fischer P, Yuan H, Van Tichelen K, Keijers S, De Ridder J, Degroote J, Vierendeels J, Doolaard H, Gopala V et al (2016) Benchmark exercise for fluid flow simulations in a liquid metal fast reactor fuel assembly. Nucl Eng Design 298:218–228

    Google Scholar 

  • Neal DR, Sciacchitano A, Smith BL, Scarano F (2015) Collaborative framework for PIV uncertainty quantification: the experimental database. Meas Sci Technol 26(7):074003

    Google Scholar 

  • Nguyen DT, Maher B, Hassan Y (2019a) Effects of nozzle pressure ratio and nozzle-to-plate distance to flowfield characteristics of an under-expanded jet impinging on a flat surface. Aerospace 6(1):4

    Google Scholar 

  • Nguyen T, Hassan Y (2017) Stereoscopic particle image velocimetry measurements of flow in a rod bundle with a spacer grid and mixing vanes at a low Reynolds number. Int J Heat Fluid Flow 67:202–219

    Google Scholar 

  • Nguyen T, Goth N, Jones P, Lee S, Vaghetto R, Hassan Y (2017) PIV measurements of turbulent flows in a 61-pin wire-wrapped hexagonal fuel bundle. Int J Heat Fluid Flow 65:47–59

    Google Scholar 

  • Nguyen T, Goth N, Jones P, Vaghetto R, Hassan Y (2018a) Stereoscopic PIV measurements of near-wall flow in a tightly packed rod bundle with wire spacers. Exp Therm Fluid Sci 92:420–435

    Google Scholar 

  • Nguyen T, Kappes E, King S, Hassan Y, Ugaz V (2018b) Time-resolved piv measurements in a low-aspect ratio facility of randomly packed spheres and flow analysis using modal decomposition. Exp Fluids 59(8):127

    Google Scholar 

  • Nguyen T, Muyshondt R, Hassan Y, Anand N (2019b) Experimental investigation of cross flow mixing in a randomly packed bed and streamwise vortex characteristics using particle image velocimetry and proper orthogonal decomposition analysis. Phys Fluids 31(2):025101

    Google Scholar 

  • Oruç V, Akilli H, Sahin B (2016) PIV measurements on the passive control of flow past a circular cylinder. Exp Therm Fluid Sci 70:283–291

    Google Scholar 

  • Pacio J, Daubner M, Fellmoser F, Litfin K, Wetzel T (2018) Heat transfer experiment in a partially (internally) blocked 19-rod bundle with wire spacers cooled by LBE. Nucl Eng Des 330:225–240

    Google Scholar 

  • Paul S, Ormiston S, Tachie M (2008) Experimental and numerical investigation of turbulent cross-flow in a staggered tube bundle. Int J Heat Fluid Flow 29(2):387–414

    Google Scholar 

  • Perry A, Chong M (1993) Topology of flow patterns in vortex motions and turbulence. Eddy structure identification in free turbulent shear flows. Springer, Berlin, pp 339–361

    Google Scholar 

  • Philip O, Schmidl W, Hassan Y (1994) Development of a high speed particle image velocimetry technique using fluorescent tracers to study steam bubble collapse. Nucl Eng Des 149(1–3):375–385

    Google Scholar 

  • Piro M, Wassermann F, Grundmann S, Leitch B, Tropea C (2016) Progress in on-going experimental and computational fluid dynamic investigations within a CANDU fuel channel. Nucl Eng Des 299:184–200

    Google Scholar 

  • Piro M, Wassermann F, Grundmann S, Tensuda B, Kim SJ, Christon M, Berndt M, Nishimura M, Tropea C (2017) Fluid flow investigations within a 37 element CANDU fuel bundle supported by magnetic resonance velocimetry and computational fluid dynamics. Int J Heat Fluid Flow 66:27–42

    Google Scholar 

  • Raffel M, Willert CE, Wereley S, Kompenhans J (2013) Particle image velocimetry: a practical guide. Springer, Berlin

    Google Scholar 

  • Ranjan R, Pantano C, Fischer P (2010) Direct simulation of turbulent swept flow over a wire in a channel. J Fluid Mech 651:165–209

    MATH  Google Scholar 

  • Ranjan R, Pantano C, Fischer P (2011) Direct simulation of turbulent heat transfer in swept flow over a wire in a channel. Int J Heat Mass Transf 54(21):4636–4654

    MATH  Google Scholar 

  • Romano GP (1995) Analysis of two-point velocity measurements in near-wall flows. Exp Fluids 20(2):68–83

    Google Scholar 

  • Ruiz T, Sicot C, Brizzi L, Borée J, Gervais Y (2010) Pressure/velocity coupling induced by a near wall wake. Exp Fluids 49(1):147–165

    Google Scholar 

  • Sciacchitano A, Wieneke B (2016) PIV uncertainty propagation. Meas Sci Technol 27(8):084006

    Google Scholar 

  • Sciacchitano A, Neal DR, Smith BL, Warner SO, Vlachos PP, Wieneke B, Scarano F (2015) Collaborative framework for PIV uncertainty quantification: comparative assessment of methods. Meas Sci Technol 26(7):074004

    Google Scholar 

  • Shaaban M, Mohany A (2019) Phase-resolved PIV measurements of flow over three unevenly spaced cylinders and its coupling with acoustic resonance. Exp Fluids 60(4):71

    Google Scholar 

  • She ZS, Jackson E, Orszag SA (1990) Intermittent vortex structures in homogeneous isotropic turbulence. Nature 344(6263):226

    Google Scholar 

  • Sirovich L, Kirby M (1987) Low-dimensional procedure for the characterization of human faces. J Opt Soc Am 4(3):519–524

    Google Scholar 

  • Spalart PR (1988) Contributions of numerical simulation data bases to the physics, modeling, and measurement of turbulence. Adv Turbul:11

  • Swain A, Das MK (2017) Flow boiling of distilled water over plain tube bundle with uniform and varying heat flux along the height of the tube bundle. Exp Therm Fluid Sci 82:222–230

    Google Scholar 

  • Timmins BH, Wilson BW, Smith BL, Vlachos PP (2012) A method for automatic estimation of instantaneous local uncertainty in particle image velocimetry measurements. Exp Fluids 53(4):1133–1147

    Google Scholar 

  • Vaghetto R, Jones P, Goth N, Childs M, Lee S, Nguyen DT, Hassan YA (2018) Pressure measurements in a wire-wrapped 61-pin hexagonal fuel bundle. J Fluids Eng 140(3):031104

    Google Scholar 

  • Waltar AE, Todd DR, Tsvetkov PV (2011) Fast spectrum reactors. Springer, Berlin

    Google Scholar 

  • Wassermann F (2015) Magnetic resonance imaging techniques for thermofluid applications. PhD thesis, Technische Universität

  • Welch PD (1967) The use of fast fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans Audio Electroacoust 15(2):70–73

    Google Scholar 

  • Westerweel J (1994) Efficient detection of spurious vectors in particle image velocimetry data. Exp Fluids 16(3–4):236–247

    Google Scholar 

  • Wilson BM, Smith BL (2013) Uncertainty on PIV mean and fluctuating velocity due to bias and random errors. Meas Sci Technol 24(3):035302

    Google Scholar 

  • Zhang K, Hou Y, Tian W, Fan Y, Su G, Qiu S (2017) Experimental investigations on single-phase convection and steam-water two-phase flow boiling in a vertical rod bundle. Exp Therm Fluid Sci 80:147–154

    Google Scholar 

  • Zhou J, Adrian RJ, Balachandar S, Kendall T (1999) Mechanisms for generating coherent packets of hairpin vortices in channel flow. J Fluid Mech 387:353–396

    MathSciNet  MATH  Google Scholar 

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Acknowledgements

This research is financially supported by the US Department of Energy, NEUP project and under a contract DE-NE0008652. The authors gratefully acknowledge Jake Pettyjohn, Jadyn Reis, and Blaze Boyed (Texas A&M) for their support with the experimental measurements.

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Nguyen, T., White, L., Vaghetto, R. et al. Turbulent flow and vortex characteristics in a blocked subchannel of a helically wrapped rod bundle. Exp Fluids 60, 129 (2019). https://doi.org/10.1007/s00348-019-2778-2

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