International Journal of Heat and Fluid Flow 73 (2018) 174–187 Contents lists available at ScienceDirect International Journal of Heat and Fluid Flow journal homepage: www.elsevier.com/locate/ijhff Flow and heat transfer measurements in swirl tubes with one and multiple tangential inlet jets for internal gas turbine blade cooling T ⁎ Christoph Bieggera, , Yu Raob, Bernhard Weiganda a b Institute of Aerospace Thermodynamics (ITLR), University of Stuttgart, Pfaffenwaldring 31, 70569 Stuttgart, Germany School of Mechanical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai 200240, China A R T I C LE I N FO A B S T R A C T Keywords: Swirling flow PIV Swirl tube Heat transfer Gas turbine cooling In this paper, we present a detailed experimental and numerical study of the flow phenomena and the heat transfer in swirl tubes with one and multiple tangential inlet jets. Such tangential jets induce a highly 3D swirling flow and an enhanced turbulence in the tube, increasing the convective heat transfer. Thus, a swirl tube is considered as an effective cooling method for technical applications with high thermal loaded components like gas turbine blades. The flow field, the heat transfer and the pressure loss are examined in a swirl tube with three different inlet jet configurations with one (MI1), three (MI3) or five (MI5) tangential inlet jets in axial direction. For this purpose, we measured the flow field via stereo-PIV (Particle Image Velocimetry) and the heat transfer by applying a transient technique using thermochromic liquid crystals for several Reynolds numbers. The numerical simulations are performed via Detached Eddy Simulation. The PIV results reveal a complex axial velocity changing after each inlet due to the additional mass flow. Two main structures occur in the swirl tube with five inlet jets: a vortex in the tube center in a wave-like form and large spiral vortices around the tube axis especially near the inlet jets. In the inlet region(s) the highest heat transfer occurs and decreases continuously until the next inlet or towards the tube outlet for the swirl tube with one inlet. The swirl tubes with multiple inlets show lower maximum heat transfer rates compared to the swirl tube with only one inlet due to lower inlet jet velocities. However, the heat transfer distribution is more homogeneous over the entire tube length at a much lower pressure loss. The homogeneous heat transfer can be explained by two mechanisms. At the inlets, the tangential jets impinge onto the concave wall and cause an enhanced convective heat transfer correlating with large spiral vortices. Secondly, the axial velocity becomes stronger further downstream after each inlet jet and causes an enhanced heat transfer between the inlet jets. The thermal performance parameter for all investigated swirl tube configurations is in the same order of magnitude. Thus, all swirl tube configurations are suitable for cooling. If one is interested in a maximum heat transfer paid by a high pressure loss, the swirl tube with one inlet is the best choice. If a lower but more homogeneous heat transfer with a low pressure loss is desired, one should choose the swirl tube with multiple inlets. 1. Introduction Major development goals for gas turbines used for propulsion and power generation are to increase the thermal efficiency, which can be achieved by operating the gas turbines at increasingly higher pressures and temperatures. These conditions result in temperatures well above the melting temperature of the blade material, which requires the development of more efficient internal turbine blade cooling strategies (Han et al., 2012). Currently different cooling techniques are investigated like rib turbulators, pin fins, jet impingement, swirl tubes ⁎ and dimples (Ligrani et al., 2003; Weigand et al., 2011). Here swirl cooling tubes and dimples show a promising cooling performance as they promote a high turbulent mixing in the near wall region and provide high heat transfer enhancement capabilities. A swirl tube consists of a tube with one or more tangential inlet jets, as shown in Fig. 1, which induce a strong swirling flow circumferentially, enhancing the turbulent mixing near the wall and therefore improves the wall heat transfer significantly. Due to the complex swirling flow coupled with high turbulence, the understanding of the flow and heat transfer characteristics in a swirl cooling system remains a Corresponding author. E-mail address: christoph.biegger@gmail.com (C. Biegger). https://doi.org/10.1016/j.ijheatfluidflow.2018.07.011 Received 17 February 2018; Received in revised form 27 July 2018; Accepted 30 July 2018 Available online 28 August 2018 0142-727X/ © 2018 Elsevier Inc. All rights reserved. International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. Δ η Θ ν ρ τ ω Ωij Nomenclature c, cp d͠ d D f h k L ṁ Nu Pr r, ϕ, z Re p q Sij t T Uz u, Ui x, y, z Γ heat capacity, J kg−1 K−1 DES limiter wall distance, m tube diameter, m friction factor, = Δp /(1/2 ρUz 2) D / L heat transfer coefficient, W m−2 K−1 thermal conductivity, W m−1 K−1 length, m mass flow rate, kg s−1 Nusselt number, = h D / k Prandtl number cylindrical coordinates Reynolds number, = Uz D / ν pressure, N m−2 dynamic pressure, N m−2 strain rate, s−1 time, s temperature, K bulk velocity (axial), m s−1 velocity, m s−1 cartesian coordinates thermal diffusivity, m2 s−1 grid spacing, m Kolmogorov length scale, m dimensionless temperature kinematic viscosity, m2 s−1 density, kg m−3 shear stress, N m−2 vorticity, s−1 rotation rate, s−1 Indices ()+ () 〈()〉 0 f in r ref t w z ϕ dimensionless filtered averaged initial fluid inlet radial reference turbulent wall axial circumferential remarkably enhanced heat transfer rates. Khalatov et al. (2000) investigated the heat transfer and pressure loss in a three-pass serpentine cyclone cooling system. They concluded that the cyclone cooling configuration demonstrated a great potential to reach high heat transfer rates in the cooling passages, which was found to be superior compared to rib turbulators. Ling et al. (2006) experimentally studied the heat transfer characteristics of a swirl tube with two tangential inlet jets by using transient liquid crystal thermography with the same swirl tube geometry than Hedlund and Ligrani (2000). Winter and Schiffer (2009) showed that the swirl stabilizes the flow in the cyclone cooling channel, and the system rotation may not have appreciable effects on the flow and heat transfer in the tube. Recently, Biegger and Weigand (2015) and Biegger et al. (2015) studied the heat transfer and flow structure in a swirl tube with tangential inlet jets at the beginning of the tube by using transient liquid crystal thermography and PIV measurements for the experiments and by conducting Detached Eddy Simulations (DES). They showed that the circumferential velocity has strong gradients in the near-wall region and the helical vortices with enhanced turbulent mixing are mostly responsible for the high heat transfer in the swirl tube. Different outlet boundaries (like a straight outlet, a tangential outlet and a 180° bend outlet) had no severe influences on the flow field or the heat transfer in the swirl tube. This is an important result, because it shows that the challenging subject. Kreith and Margolis (1959) first proposed that swirling flow induced in tubes can enhance surface heat transfer rates relative to unswirled flows in a heat exchanger application. Recently, a large number of other researchers employed tangential wall jets to induce large-scale swirling flows to enhance the heat transfer rates for gas turbine blade internal cooling. Glezer et al. (1996, 1997, 1998) studied three different configurations based on a swirling flow generated by tangential wall jets for gas turbine blade leading edge internal cooling. The swirl cooling configuration developed in the study demonstrated superior heat transfer rates in comparison with rib turbulated cooling as well as jet impingement cooling. They also showed that system rotation has only a little effect on the heat transfer. Qian et al. (1997) indicated that the swirling flow can drastically increase heat transfer rates by about 20% higher than those generated by impingement cooling. More importantly, swirl cooling produces a more uniform heat transfer distribution on the surface than jet impingement cooling. Later, Ligrani et al. (1998) and Hedlund and Ligrani (2000) experimentally investigated the flow and heat transfer characteristics in a swirl chamber with two tangential inlet jets displaced axially along the tube. They used the inlet temperature as reference temperature for the heat transfer coefficient and showed that the large-scale swirling and Goertler vortex pairs in the swirl chamber are responsible for the Fig. 1. (a) Tangential jet induced swirling flow in a tube (Ligrani et al., 2003), and (b) swirl cooling for gas turbine blade (Biegger and Weigand, 2015). 175 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. investigated swirl cooling configurations can later been integrated e.g. in a multi-pass cooling scheme for a gas turbine blade. Bruschewski et al. (2016) investigated another novel ring orifice outlet for cyclone (swirl) cooling, and found that the ring orifice can obviously change the flow patterns and improve the heat transfer in cyclone cooling. In contrast to the above-mentioned swirl cooling investigations with one tangential flow inlet, one can also introduce the cooling flow by multiple tangential inlets distributed at different axial locations along the swirl tube. Rao et al. (2016) shows a comparative study on the heat transfer and pressure loss in swirl tubes with two different jet configurations: (1) one tangential inlet jet at the beginning of the tube, and (2) five tangential inlet jets distributed equidistantly along the tube length. In the swirl tube with one jet, the swirling flow effect decays quite fast, therefore the heat transfer decreases along the tube length rapidly. This results in a non-uniform heat transfer distribution in the swirl tube. However, in the swirl tube with five inlet jets, since the jet flow is distributed along the tube length, a lower but more uniform heat transfer distribution and a much lower pressure loss across the tube length can be achieved. Therefore, a swirl cooling tube with multiple tangential inlet jets shows promising characteristics of providing an enhanced heat transfer with a more uniform heat transfer distribution. Swirl cooling is a robust cooling method and is straightforward to manufacture due to its simplicity. Thus, it is well applicable as a cooling device for high thermal load components such as turbine blades. In the present paper, further comparative experimental and numerical studies have been done for the swirl tubes with different multiple inlet jet configurations, i.e. three inlet jets and five inlet jets. The aim of the study is to explore the influence of the inlet jet number along the swirl tube length on the swirling flow and heat transfer performance. Detailed flow and heat transfer characteristics in the swirl cooling tubes with different inlet jet numbers have been measured by using the transient liquid crystal thermography and Particle Image Velocimetry (PIV) technique. Additionally, three-dimensional numerical computations based on Detached Eddy Simulation were performed to show more details of the flow structure and heat transfer patterns in swirl tubes with multiple inlets. fitting block to maintain the cylindrical tube cross-section. Finally, the air exits through an outlet tube into a plenum connected to the vacuum pump. The entire model is transparent and is manufactured out of Perspex because of its low thermal conductivity for the heat transfer experiments and to provide an optical access for the heat transfer and flow measurements. The dimensions of the multiple inlet swirl tube and the positions of the temperature and pressure probes are shown in Fig. 3. The tube diameter is D = 50 mm with a length of L/ D = 20 . Eight thermocouples (TC) are positioned through capillary tubes equidistantly in axial direction, which measure the fluid temperature in the tube center. At the same axial coordinates, pressure taps are installed to measure the static pressure along the tube wall. Additionally, one thermocouple is placed in each tangential inlet channel to measure the jet inlet temperature. The investigated Reynolds numbers Re = Uz D / ν are based on the tube diameter D, the axial bulk velocity Uz at the tube outlet and the kinematic viscosity ν. The PIV measurements are conducted at Re = 10, 000 for the one, three and five inlet(s) case. The heat transfer coefficients are measured for a Reynolds number range from 10, 000 to 40, 000 for MI1 and MI3, respectively, and for a range from 10, 000 to 80, 000 for MI5. For the characterization of the swirl strength in a flow one can use the swirl number defined as the ratio of the angular momentum to the axial momentum. If we assume a complete transformation of the angular to the axial momentum (or velocity components) one obtains the maximum possible swirl strength. This can be estimated by the relation of the tangential and axial cross-sections. Here, the inlet channel has the dimensions of 33.3 mm × 8.5 mm. So, the area ratios between the tube cross-section and the inlet channel area for the one inlet case (MI1) is 6.94, for the three inlets case (MI3) it is 4.17 and for the swirl tube with five tangential inlets (MI5) it results in 1.39. So, theses configurations are characterized by a high, medium and low swirl strength, respectively. 2. Experimental setup The optical PIV method is used to measure the instantaneous flow field in the swirl tube with multiple tangential inlets. Therefore, the flow is seeded with light scattering particles with a mean diameter less than 1 μm. A laser light sheet illuminates the particles with two laser pulses within a short time difference (10 μs − 50 μs ). The scattered light showing the particle distribution is recorded onto two consecutive frames of a CCD camera. For small interrogation windows the velocity vector can be calculated from the particle shift between both frames by cross-correlation methods and the time period Δt. For stereo-PIV (2D3C) two cameras are used to obtain all three velocity components in a 2D plane. For the here performed measurements a PIV system from LaVision with a New Wave Research double-pulse Nd: YAG laser with a wavelength of 532 nm (green) is used. The camera angle to the direction 2.1. Stereo particle image velocimetry (PIV) The experimental apparatus used for the flow and heat transfer measurements is schematically shown in Fig. 2. The flow is sucked through a vacuum pump connected to the outlet tube and is situated far away downstream. The air enters a laminar flow element from Tetra Tec Instruments (LFE 50MC2-2F) to determine the mass flow rate through the measuring section. Then, the flow can be either heated via an electrical mesh heater for the heat transfer experiments or seeded with tracer particles for PIV flow measurements. The following plenum is directly attached to the swirl tube and enables to supply up to five tangential inlets to the measurement section. The orange arrows in Fig. 2 highlight the air flow path through the tangential inlets into the swirl tube. Each inlet section can be closed separately by a curved Fig. 2. Experimental rig and measuring section for the multiple inlet swirl tubes. 176 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. Fig. 3. Multiple inlet swirl tube geometry and thermocouple (TC) position (Biegger, 2017). a semi-infinite wall (Carslaw and Jaeger, 1959) yields perpendicular to the tube axis is set to ± 30° recommended by Raffel et al. (2007). The measurement section for one measurement contains the tube diameter in height (50 mm) and a length of around 100 mm, so at least ten experiments are needed to capture the entire swirl tube. For each PIV measurement 2000 images are recorded, processed and ensemble averaged using the software DaVis 8 from LaVision. The accuracy of the sample size is validated with a statistical analysis varying the number of ensemble averages. The maximum scatter for 1000 ensemble averages for the axial velocity is below 2% and for the circumferential velocity below 1%. The reader is referred to Biegger et al. (2013) for more details about the statistical analysis and the PIV setup. Θ= We measured the heat transfer coefficient in the swirl tube using the well-established transient technique using thermochromic liquid crystals (TLC), see, for example, Ireland and Jones (2000) and Poser et al. (2007). The heat transfer coefficient h can be calculated from the time evolution of the wall temperature. We use the Nusselt number to express the dimensionless heat transfer based on the temperature gradient at the wall, the tube diameter D and the driving temperature difference between wall and fluid temperature: ∂T − ∂n D w Tw − Tf = hD k (2) Here, h is the local heat transfer coefficient and ρwcwkw are the wall material properties density, specific heat capacity and thermal conductivity. The swirl tube model is made of Perspex with a wall thickness of 25 mm, which very well satisfies the assumption of a semi-infinite wall due to a low thermal conductivity (Vogel and Weigand, 2001). Additionally, the curved surface is taken into account considering an analytical expression given by Buttsworth and Jones (1997) for transient heat transfer experiments. Fig. 4 shows the experimental TLC setup with the CMOS camera, two lamps and the cross-section of the plenum with the attached swirl tube. The jet inlet temperature is measured in the plenum and in each tangential inflow channel with a fast response thermocouple type K with a wire diameter of 0.08 mm (Omega 5SC-TT-KI-40) and a temporal sample rate of 10 Hz. The inner surface of the tube is sprayed with narrowband TLCs (SPN/R38C1W by Hallcrest Ltd.) and a black coating for a defined contrast. A typical liquid crystal color play is displayed in Fig. 5, which starts from unchanged (black due to the background) to red, yellow, green and blue. After analyzing the camera viewing angle influence on this highly curved surface, we concluded that it has no significant effect for this particular experiment. Thus, for post-processing the data are averaged in circumferential direction. More information about the liquid crystal technique and the here used experimental setup can be found in Biegger and Weigand (2015) and Rao et al. (2016). 2.2. Thermochromic liquid crystal (TLC) technique Nu = Tw − T0 h2 t ⎞ ⎛ h t ⎞ = 1 − exp ⎛⎜ ⎟ erfc ⎜ ρ c k ⎟ Tf − T0 ρ c k w w w ⎝ ⎠ ⎝ w w w⎠ (1) Here, k is the thermal conductivity of the fluid and Tw and Tf are the wall and fluid temperature. Regarding the fluid or reference temperature, one can either use the inlet jet temperature or the local bulk temperature which will be discussed in detail in the result Section 4.2. For the transient TLC technique, the calibrated liquid crystals are sprayed onto the inner tube surface, which change their color at a specific temperature and hence indicating the wall temperature. Before the experiment begins, the measuring section has a uniform initial temperature. The measurement starts with a sudden temperature rise and heated fluid is exposed to the test section. The liquid crystal color play is recorded on video and the time to reach a specific temperature (color) can be determined. With the initial temperature T0, the fluid temperature Tf and the time t to reach the TLC temperature at the wall Tw, the local heat transfer coefficient can be calculated by an analytical solution of the 1D transient heat conduction problem. With a convective boundary condition, the solution of the 1D Fourier equation for 2.3. Measurement uncertainty The measurement uncertainties are calculated by means of the rootmean-square method described by Moffat (1990) based on a 95% confidence level. The uncertainties of the measurement quantities are summarized in Table 1. The production tolerance of the Perspex tube is ± 1.0% and the calibrated laminar flow element has an uncertainty of the mass flow rate of ± 0.33%. With it, the uncertainty of the Reynolds number results in ± 1.07%. Scanivalve Corp. DSA pressure modules are used to measure the static pressure at the tube wall with an accuracy of ± 0.2% of the full scale (2500 Pa). The uncertainty of the dimensionless temperature Θ (see Eq. 2) is ± 1.0% depending on the Fig. 4. TLC measurement setup with thermocouple and pressure tap positions. 177 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. RANS: LES: Table 1 Experimental parameters, their typical range in the experiments and the measurement uncertainty. Typical range D ṁ Re p Θ ρwcwkw 0.05 m 0.007 − 0.028 kg / s 10, 000 − 80, 000 170 − 2500 Pa 0.5 − 0.7 1190 kg/m3, 1470 J/(kg K), 0.19 W/ (m K) 3 − 90 s t h 15 − 500 W /(m2 K ) (8) 3.1. Computational domain and boundary conditions ± ± ± ± ± ± The DES simulations are performed with the open-source finitevolume code OpenFOAM version 2.2.1 (Jasak et al., 2007). We used the Pressure-Implicit Split-Operator (PISO) algorithm as pressure corrector for the momentum equations. For the pressure corrector we used the PCG (Preconditioned Conjugate Gradient) solver in combination with the GAMG (Generalized geometric-Algebraic Multi Grid) preconditioner. We applied a second-order backward differencing scheme for the time discretization and a second-order accurate central differences scheme to approximate the viscous and convective fluxes. The numerical setup for the MI5 swirl tube simulations is chosen in accordance with the experimental setup. The computational domain consists of five inflow boundary sections, the swirl tube (as the evaluation section), an outlet tube and a plenum. The computational grid for the MI5 configurations is a hexahedral O-grid with 9 and 12 million cells for the investigated Reynolds numbers of 10,000 and 50,000, respectively. A cross-section of the swirl tube mesh and a detailed view of the wall resolution is shown in Fig. 6. The wall is resolved to provide a dimensionless wall distance of y1+ < 1.5 for the first cell near the wall. Here y+ = (y u τ )/ ν with the friction velocity u τ = τw / ρ . We used the Kolmogorov length scale as a reference scale, which can be approximated by η = D Re−3/4 with the diameter D as the characteristic length (Pope, 2000). The time step is automatically adjusted with a Courant number limit of 0.9 mostly in the inlet part. The simulation is run for 3Δtdomain (= L/ Uz is the domain flow time), before starting averaging over 15Δtdomain. More details about the mesh, the Kolmogorov length scale η and the wall and center cell sizes are listed in Table 2. The wall boundaries are set with a no-slip condition. A turbulent velocity profile is mapped onto the inflow boundary section. A uniform inlet temperature is given of Tin = 333 K and the wall temperature is set constant to Twall = 293 K . At the outlet, a fixed pressure value is set and zero gradient boundary conditions are applied for all other variables (Biegger and Weigand, 2016). The inflow conditions for each tangential inlet are obtained from a preliminary RANS simulation for the entire domain with an additional inlet plenum (Rao et al., 2016). A DES simulation of the entire swirl tube together with the plenum would be too time-consuming. The mass flow distribution and the respective velocity through each inlet are 1.0% 0.33% 1.07% 0.2% 1.0% 0.8%, ± 0.7%, ± 5.3% ± 3.33% ± 8.0% − 13.0% 3. Numerical setup For a DES simulation, we have to consider the RANS and LES governing equations, which are based on the Reynolds decomposition and the filtering concept, respectively. The time averaged (RANS) and filtered (LES) equations show a structural similarity and read for the time averaged velocity 〈U〉 and the filtered velocity U : LES: ∂T LES + Uj ∇T = ∇ (Γeff ∇T ). ∂t (7) Measurement uncertainty thermocouple accuracy ( ± 0.16 K) and the narrowband TLC indication temperature ( ± 0.1 K). The heat transfer coefficient is time and space dependent due to the transient experiment with an uncertainty between ± 8.0% − 13.0% considering the uncertainty of the Perspex wall material properties ρwcwkw and the sample rate Δt. In the regions of the tangential inlets and therefore very high heat transfer the highest uncertainty occurs due to a faster TLC color change and hence a higher relative time error Δt/t. RANS: RANS + Uj ∇ T = ∇ (Γeff ∇ T ) Here, Γeff is the effective thermal diffusivity and includes the molecular diffusivity Γ = ν / Pr and the turbulent diffusivity Γt = νt / Prt assuming a constant turbulent Prandtl number with Prt = 0.4 suggested for LES (Fröhlich, 2006). Fig. 5. Liquid crystal color play for the MI5 swirl tube. Parameter ∂T ∂t ∂ Ui 1 + ∇ ( Ui Uj ) = − ∇ p + ∇ (ν∇ Ui ) − ∇τijRANS ρ ∂t ∂Ui 1 + ∇ (Ui Uj ) = − ∇p + ∇ (ν∇Ui ) − ∇τijLES . ∂t ρ (3) (4) Here, p is the pressure and ν the kinematic viscosity. The turbulent stresses on the right-hand side are modeled using the eddy viscosity concept with a turbulent viscosity νt and the strain rate tensor Sij: τij = νt ∇Sij (5) Spalart and Allmaras (1994) proposed to model the turbulent viscosity νt = ν͠ fv1 by a single transport equation: 2 Dν͠ ͠ ͠ + 1 [∇ ((ν + ν͠ ) ∇ν͠ ) + cb2 (∇ν͠ )2] − c w1 f ⎛ ν͠ ⎞ . = cb1 Sν w ͠ Dt σ ⎝d ⎠ (6) Here, the variables σ, cb1, cb2 and cw1 are model constants. The last term is a destruction term for the modified viscosity ν͠ , which depends on the DES limiter d͠ = min(d, CDES Δ) . Here, d is the distance to the nearest wall, CDES a constant and Δ the grid spacing. In the present simulations, we used the maximum cell size of all directions as the grid spacing: Δ = max(Δx, Δy, Δz) . Thus, the DES limiter switches between RANS near the wall and LES in the free stream region, so that the Spalart-Allmaras model act as a turbulence-viscosity model where d ≪ Δ and as a subgrid-scale model where d ≫ Δ. The energy equation for the time averaged temperature T and the filtered temperature T reads Fig. 6. Cross-section of the swirl tube mesh showing the hexahedral O-grid and a detailed view of the wall resolution. 178 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. the configuration with five tangential inlet jets in Fig. 8, here five different flow regions occur. After the first inlet at the beginning of the tube, recirculation areas are evident, whereas further downstream the enhanced mass flow is responsible for an axial flow towards the tube outlet. This axial flow becomes stronger with an increasing number of inlets, first in the center of the tube and after the fifth inlet also in the outer region of the tube, analogous to the three inlets configuration. Comparing the experimental and the numerical flow field of the axial velocity for the MI5 configuration in Fig. 8, a good agreement can be seen for the entire tube. In front of each inlet, a recirculation zone near the opposite wall is evident, which shrinks the cross-sectional area for the upstream flow and accelerates it in the tube center as already discussed. Therefore, the DES simulation is capable to predicting such a complex flow field with five tangential jets with a good accuracy. Table 2 Details about the MI5 swirl tube mesh in terms of number of cells, Kolmogorov length scale η and used wall and center cell sizes. η [m] Δyw [m] (Δx, Δy, Δz)c [m] 9 · 106 5·10−5 3·10−5 (9.4, 7.9, 11.0)·10−4 12 · 106 1.5·10−5 2.5·10−5 (7.5, 6.8, 10.4)·10−4 Mesh Cells Re = 10, 000 Re = 50, 000 summarized in Table 3. The mass flow rate through the first two inlets is almost the same, but for the following three inlets the mass flow rate increases due to an increasing relative pressure difference over the subsequent inlets. Comparing the first and the last inlet, 30% more mass flow goes through the fifth inlet. The numerical setup has been validated simulating a turbulent channel flow with constant but different wall temperatures and compared to DNS data from Iida and Kasagi (2001). The velocities and temperature profiles as well as the fluctuations showed a good agreement (Biegger et al., 2015). The numerical swirl tube results have also been compared with own experimental data (Biegger and Weigand, 2015; Biegger and Weigand, 2014) in previous publications (Biegger et al., 2015; Biegger and Weigand, 2016), which also showed a good agreement especially for the flow field. 4.1.2. Circumferential velocity The measured non-dimensional circumferential velocity Uϕ/ Uz for the swirl tube with one tangential inlet at Re = 10, 000 is shown in Fig. 9. Additionally, the circumferential velocity for the configurations with three and five tangential inlet jets in combination with the numerical results for the MI5 configuration is presented in Fig. 10. Again, a black rectangle indicates the tangential inlets and the contour legend for the one inlet case and the multiple inlet cases are different for a clearer presentation. The symbols besides the legend show the velocity direction into (red) or out (blue) of the paper. At the beginning of the swirl tube with one inlet in Fig. 9, the circumferential velocity is clearly the largest velocity component with Uϕ, max / Uz = ± 6 and thus three times larger than the related axial velocity component with Uz, max / Uz = 2. Near the tangential inlet the circumferential velocity has its maximum value and decreases continuously towards the tube outlet due to friction and dissipation. The circumferential velocity for the MI3 configuration is shown in Fig. 10. From the contour color it is evident that the absolute velocity value is almost constant over the entire tube. The additional tangential inlet jets in axial direction induce additional swirl and keep the circumferential velocity of around Uϕ, max / Uz = ± 2 on a constant level. The same can be seen for the MI5 configuration. The overall circumferential velocity component of around Uϕ, max / Uz = ± 1.5 is almost constant over the entire tube and obviously lower than for the MI3 swirl tube. For both configurations, the vortex core is not directly in the tube center, but scatters around the center in a wave-like form also visible for the MI1 swirl tube. This is due to the unsymmetrical tangential inlet jets from one side of the tube. The comparison of the experimental and the numerical results in Fig. 10 shows that the DES slightly overestimates the circumferential velocity by maximum 20% compared to the experiments, especially in the first inlet section. This might be due to an overestimated tangential inlet velocity distribution from the preliminary RANS simulation. However, the overall circumferential velocity distribution shows a good agreement and the simulation can provide a more detailed view into the occurring flow structures. The wave-like form in the vortex core becomes clearer and a larger circumferential velocity component near the wall on the other side of the inlet is evident. This enhanced impinging swirl flow might be responsible for the high heat transfer in the inlet jet regions, which will be shown later in the heat transfer section. 4. Results and discussion 4.1. Flow field In this section, the flow field for the different multiple inlet swirl tubes is discussed in detail. First, the axial and circumferential velocity components are presented followed by the vorticity. The velocities are scaled by the axial bulk velocity Uz at the tube outlet. 4.1.1. Axial velocity The measured non-dimensional axial velocity Uz / Uz is shown in Fig. 7 for the swirl tube with one tangential inlet at Re = 10, 000 . The axial velocity for the swirl tube with three and five inlets is shown in Fig. 8 together with numerical results for the five inlets configuration for comparison. The contour legend from the one inlet and the multiple inlet swirl tubes differ for a clearer display. Black rectangles indicate the respective inlet sections. The axial velocity for the one inlet configuration in Fig. 7 shows a strong axial flow in the near wall region and an axial backflow in the tube center also known as vortex breakdown. The swirling flow is strong enough that the backflow occurs across the entire tube length. The magnitude of the backflow even increases towards the tube outlet, whereas the axial velocity in the outer region slightly decreases due to wall friction. The axial backflow in the tube center is characterized by a standing wave, which is caused by an unsymmetrical flow field due to one tangential inlet. The axial flow structure for the multiple inlet configurations in Fig. 8 is completely different and changes after each inlet jet due to the additional mass flow entering the tube. Depending on the number of inlet jets, the swirl tube can be divided into three or five different sections, respectively, highlighted with black dashed lines in Fig. 8. The first section shows several alternating recirculation areas indicated by a dark blue color and a black contour line representing zero velocity. The unsymmetrical inlet jet causes these recirculation areas. In front of each subsequent inlet, a recirculation zone occurs near the opposite wall (blue zones) and thus reduces the cross-sectional area of the tube. Due to this reduction, the flow from the upstream section is accelerated in the tube center. In the second section for MI3, the axial flow is characterized by a maximum axial velocity in the tube center and no axial backflow occurs anymore. In the last and third region of the MI3 configuration, the largest axial velocity component appears in the outer region accompanied with a low velocity in the tube center. Considering Table 3 Mass flow and inlet velocity distribution of the MI5 swirl tube simulations. 179 Inlet number 1 2 3 4 5 m˙ i / m˙ total Uin [m/ s] (Re = 10, 000) Uin [m/ s] (Re = 50, 000) 18.0% 4.03 20.14 17.8% 3.97 19.87 19.2% 4.30 21.48 21.3% 4.78 23.89 23.7% 5.30 26.49 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. Fig. 7. Measured non-dimensional axial velocity in the swirl tube with one tangential inlet at Re = 10, 000 . inlets, one can see dominant vortex structures. This indicates that these vortex structures are spread over the tube circumference. For a more detailed insight in the occurring vortices, the Q-criterion defined as Q = 1/2 (Ωij2 − Sij2 ) is presented in Fig. 13 for the swirl tube with five inlet jets. Here, Sij and Ωij are the symmetric and antisymmetric velocity gradient tensors. Occurring vortices are visualized with isosurfaces of Q > 0, where the rotation dominates the shear rate. The Q-criterion reveals two main structures in the swirl tube that are already indicated by the vorticity contour. First, a vortex in the tube center in a wave-like form. Second, large spiral vortices around the tube axis especially near the inlet jets (Biegger, 2017). The strong tangential momentum induced by the jets causes these turbulent structures, which, in turn, cause the enhanced heat transfer in the inlet regions as shown later. 4.1.3. Vorticity The rotation of a fluid can be described by its vorticity and is defined in the general vector form as ω = ∇ × U . Here, ∇ is the nabla operator and U is the velocity vector. The measured non-dimensional vorticity in circumferential direction ωϕ D / Uz (ωϕ = ∂Ur / ∂z − ∂Uz / ∂r ) is presented in Fig. 11 for the swirl tube with one tangential inlet and in Fig. 12 for the MI3 and MI5 swirl tube configurations. The contour legend for the multiple inlet cases is again adjusted for a clearer presentation. For the configuration with one inlet jet in Fig. 11, a large positive and negative vorticity stripe on each half of the tube is evident indicating a dominant vortex system. At the beginning of the tube near the inlet, the vortex system occurs in the outer part of the tube and shrinks to the core moving further downstream towards the tube outlet. This process is driven because high velocity fluid moves closer to the axis and the fluid in the outer tube is slowed down due to friction. Moreover, this vortex structure describes a wave-like form analogous to the axial flow as shown in Fig. 7 due to the unsymmetrical inlet jet. The vorticity becomes more complex for the swirl tube configurations with multiple inlet jets as shown in Fig. 12. In the tube center, periodically changing positive and negative vorticity areas are evident over the entire tube. Near the inlet jets and on the opposite side of the 4.2. Heat transfer In the following, the experimentally and numerically obtained heat transfer results for the swirl tubes with multiple inlet jets will be presented. First, a reasonable reference temperature will be discussed in detail followed by an exemplary DES wall heat flux contour for the MI5 swirl tube. Then, the measured circumferentially averaged Nusselt Fig. 8. Measured non-dimensional axial velocity in the MI3 and MI5 swirl tube. The bottom Fig. shows DES results with five tangential inlets at Re = 10, 000 . 180 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. Fig. 9. Measured non-dimensional circumferential velocity in the swirl tube with one tangential inlet at Re = 10, 000 . Fig. 10. Measured non-dimensional circumferential velocity in the MI3 and MI5 swirl tube. The bottom Fig. shows DES results with five tangential inlets at Re = 10, 000 . Fig. 11. Measured non-dimensional vorticity in the swirl tube with one tangential inlet at Re = 10, 000 . numbers for the configurations with one, three and five inlet jets are presented for the Reynolds number 10, 000. Finally, a comparison between the experimentally and the numerically obtained heat transfer is shown. In previous publications on single inlet swirl tubes (Biegger and Weigand, 2015; Biegger et al., 2015; Biegger and Weigand, 2014), we used the local adiabatic wall temperature as a reference temperature based on a calculation from the local temperature in the center of the tube. Due to the complexity of the flow field in swirl tubes with multiple inlet jets the local adiabatic wall temperature is difficult to measure and with it the choice of a reference temperature. To determine a reasonable reference temperature for the heat transfer coefficient, the mean temperature field in the swirl tube with five inlet jets obtained from a numerical simulation is shown in Fig. 14. The wall temperature is constant at Twall = 293K and the fluid inlet temperature is set to Tin = 333K . The range of the legend has been adjusted from 303K to 333K for a clearer temperature contour. Near the inlets, fluid with the jet inlet temperature impinges on the 181 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. Fig. 12. Measured non-dimensional vorticity in the MI3 and MI5 swirl tube at Re = 10, 000 . Fig. 13. DES vortex structure in the MI5 swirl tube for Re = 10, 000 , isosurfaces of Q = 1, color represents axial velocity according to the legend in Fig. 8 (Biegger, 2017). Fig. 14. Numerically predicted mean temperatures in the swirl tube with five tangential inlets at Re = 10, 000 with Tin = 333K and Twall = 293K . and because of the here used different reference temperature this differs to the previously published thermal performances in Biegger and Weigand (2015). However, this approach allows to compare the swirl curved tube wall and is therefore responsible for the high heat transfer in these regions. For the sections between the inlets, this temperature cannot serve as a reference temperature in the Nusselt number, because it is too high and thus would underestimate the local heat transfer coefficient. On the other hand, the local bulk temperature in the tube would be too low at the inlets due to the lower temperature in the tube core indicated by the (light) blue regions and would overestimate the heat transfer in the inlet regions. Therefore, we use the jet inlet temperature Tj as a conservative reference fluid temperature Tf for the evaluation of the heat transfer coefficients according to Eq. 1. This also guarantees a reasonable comparison between the different swirl tube configurations with multiple inlets investigated here and with other studies e.g. by Ligrani et al. (1998) and Hedlund and Ligrani (2000). However, it should be noted that the highest uncertainty occurs for the swirl tube with only one inlet jet since the temperature difference increases further downstream. The effect of the two different reference temperatures (the jet inlet temperature and the local bulk temperature) on the Nusselt number is exemplarily shown for the swirl tube with one inlet jet in Fig. 15. As already explained, the Nusselt number based on the inlet temperature underestimates the heat transfer especially further downstream. In the inlet region, the Nusselt number uncertainty is around 5%, whereas it increases to 130% further downstream to the outlet. The Nusselt number in the swirl tube with one inlet based on the local fluid temperature shows the largest uncertainty at the inlet with around 18% and decreases to 5% at end of the tube. This will affect the thermal performance presented in Section 4.4 Fig. 15. Comparison of the measured Nusselt numbers for the swirl tube with one inlet jet based on the inlet temperature and the local fluid temperature in the tube as reference temperature. 182 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. Reynolds number of 10, 000 (a) and 50, 000 (b). The vertical lines indicate the axial position of the tangential inlet jets. The Nusselt number comparison between experiment and simulation shows a good agreement for such a complex flow in a multiple inlet jet swirl tube for both a low and a high Reynolds number. Between the first and the second jet, slight deviations can be seen for both Reynolds numbers. This might be due to an overestimated tangential inlet velocity distribution for the first jet and therefore overestimated circumferential velocity in this region as already discussed in Section 4.1. However, this comparison confirms that the DES is capable to predicting the heat transfer for a multiple inlet swirl tube very well (Biegger, 2017). The globally averaged Nusselt numbers for the three investigated configurations are listed in Table 4. Additionally, the normalized Nusselt numbers are given as well based on the Dittus–Boelter correlation (Dittus and Boelter, 1930) for the heat transfer in a fully developed axial tube flow (Nu 0 = 0.023 Re 0.8 Pr 0.3 ). For each swirl tube inlet configuration, the Nusselt number enhancement compared to an axial tube flow Nu / Nu 0 is almost constant over the investigated Reynolds number range. It has to be mentioned that the mass flow rate and consequently the Reynolds number increase along the tube length due to the additional inlet jets. This makes a comparison of the normalized heat transfer difficult as the Dittus-Boelter correlation is based on a constant Reynolds number. Secondly, the Dittus–Boelter correlation is based on the mean bulk temperature and is therefore only of limited informative value and just given for completeness. tube with one inlet with the ones with multiple inlets. The numerically obtained wall heat flux in the swirl tube with five inlet jets for Re = 10, 000 is shown in Fig. 16. One can clearly see the enhanced heat flux originated from each inlet jet. Between the inlets, the wall heat flux continuously decreases until the next inlet jet. At the last inlet the highest wall heat flux occurs due to the increasing mass flow rate and therefore highest inlet jet velocity compared to the upstream inlets. An overview of the respective inlet jet velocities has already been given in Table 3. The measured circumferentially averaged Nusselt numbers based on the jet inlet temperatures for all investigated multiple inlet configurations and Re = 10, 000 is shown in Fig. 17. For one tangential jet, the highest heat transfer occurs in the inlet jet region. Here, the maximum Nusselt number reaches a value of around 400. Further downstream from the inlet jet, the heat transfer decreases continuously. For the multiple inlet swirl tube configurations MI3 and MI5, an increased heat transfer is observed for each inlet jet. Between the tangential inlet jets the Nusselt numbers decrease until the next inlet as already seen in the wall heat flux contours. The maximum Nusselt number is around 150 for the three inlets configuration and around 100 for the five inlets configuration. It is evident that the maximum Nusselt number for the multiple inlet jets is lower than for the swirl tube with only one inlet jet (Nu = 400 ), however due to the additional tangential jets and re-enhanced swirl strength the heat transfer distribution is more homogeneous over the entire tube length. Additionally, the current heat transfer results are compared to heat transfer data of a swirl tube configuration with two inlets by Hedlund and Ligrani (2000). Their investigated swirl tube has a total length of x / r0 = 15, which relates in the current axial coordinate system to z / D = 7.5. So in terms of geometry and tangential inlets, the swirl tube with five inlets is the configuration, which relates best to the one in Hedlund and Ligrani (2000) in the passage until z / D = 7.5. The Reynolds number of 10,000 in the current study lies in between the Reynolds number of 6,100 and 12,150 by Hedlund and Ligrani (2000). Comparing the Nusselt numbers, one can see that both are in a similar range and the maximum is just around 100. In the current investigation, the Nusselt number for the MI5 swirl tube is slightly below 100, which means the swirl tube by Hedlund and Ligrani (2000) performs slightly better. Overall, the swirl tube performances of both studies are comparable. It can be concluded that two major mechanisms are responsible for the more homogenous heat transfer in the MI5 swirl tube. At the inlets, the tangential jets impinge on the concave wall, cause an enhanced turbulence and consequently an enhanced convective heat transfer. This can be also seen in the large spiral vortices at the inlets in Fig. 13, which become stronger for the inlets further downstream due to a higher inlet mass flow rate. Additionally, with an increasing number of inlets and therefore increasing local mass flow rate in the swirl tube due to the downstream inlets, the axial velocity becomes stronger as shown in Fig. 8 and causes an enhanced heat transfer between the inlet jets. This results in a more homogeneous heat transfer distribution over the entire tube (Biegger, 2017). Fig. 18 shows a comparison between the experimentally and the numerically obtained heat transfer for the MI5 swirl tube and a 4.3. Pressure loss The measured pressure loss for the three multiple inlet swirl tubes and Re = 10, 000 is presented in Fig. 19(a) and a more detailed plot for the MI3 and MI5 configuration is shown in Fig. 19(b). The pressure loss over the tube is normalized with the dynamic pressure q = 1/2ρU z2 . The overall pressure loss for one inlet jet is much higher compared to the one for the multiple inlet jets configurations. Near the inlet jet at the beginning of the MI1 swirl tube, the largest pressure loss occurs due to the largest circumferential velocity and decreases continuously along the tube length. For the MI3 configuration shown in Fig. 19(b), the pressure decreases after the first inlet jet, is then slightly enhanced at the second inlet jet and again decreases at the last jet. For the five inlet swirl tube, the pressure drop at the beginning of the tube is quite low due to a low mass flow rate. With an increasing mass flow further downstream, the pressure difference between each measurement position increases as well. The measured friction factors over the tube length are listed in Table 5. The values are normalized by the friction factors for an axial tube flow ( f0 = 0.3164 Re−0.25 by Blasius (Schlichting and Gersten (2000)). It is evident that the friction factor increases with increasing Reynolds number. The highest pressure loss occurs for only one inlet jet and is between 49 and 66 times higher compared to an axial tube flow depending on the Reynolds number. With an increasing number of tangential inlet jets, the friction factor enhancement drastically decreases to around 10% for MI3 and 7.5% for MI5. This is due to lower inlet jet velocities compared to the MI1 swirl tube configuration. Secondly, the measured friction factor enhancement over the tube Fig. 16. DES wall heat flux in the MI5 swirl tube at Re = 10, 000 (Biegger, 2017). 183 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. Fig. 17. Measured Nusselt numbers based on the jet inlet temperatures for all investigated multiple inlet configurations and Re = 10, 000 (a) and swirl tube Nusselt number results with two inlets by Hedlund and Ligrani (2000) (b). including the pressure drop over the tangential inlets is listed in Table 5. For this evaluation, the static pressure in the tube is measured against the pressure in the plenum. It is evident that the inlet jets cause a large pressure loss. For the swirl tube configuration with one and three inlets, the pressure loss over the inlets is the significant part and is around 2 to 3 times the pressure drop over the tube. This is due to the large inlet jet velocity. For the swirl tube with five inlets the pressure drop over the tube and over the inlets is in the same order of magnitude. This means the friction factor enhancement over the tube including inlets is around twice the one over the tube. 4.4. Thermal performance For a comparison with other cooling methods and a rating of the different configurations, the thermal performance of the investigated multiple inlet swirl tubes will be analyzed. The thermal performance parameter (Nu / Nu 0)/(f / f0 )1/3 is the ratio between the heat transfer enhancement and the friction factor increase. Fig. 20 shows the thermal performance parameters (Nu / Nu 0)/(f / f0 )1/3 for all experimentally investigated configurations. One can see that the thermal performance for all configurations and all Reynolds numbers are in the same order of magnitude. This means that all swirl tube configurations are suitable for effective cooling. It strongly depends on the usage. If one is interested in a maximum heat transfer paid by a high pressure loss, the swirl tube with one inlet would be the best choice. If a lower but more homogeneous heat transfer with a low pressure loss is desired, one should choose the swirl tube with five inlets. It should be mentioned again that the here presented Nusselt numbers are based on the inlet jet temperature and are normalized with the Dittus-Boelter equation. The jet inlet temperature is higher than the local fluid temperature, and therefore causes a lower heat transfer and thermal performance, respectively. For completeness, the experimentally obtained thermal performance parameters (Nu / Nu 0)/(f / f0 )1/3 are listed in Table 6 for all investigated configurations and Reynolds numbers. Fig. 18. Comparison of Nusselt numbers from experiments and DES for the MI5 swirl tube (Biegger, 2017). Table 4 Measured globally averaged Nusselt numbers Nu and normalized Nu / Nu 0 by the Dittus–Boelter correlation. Re Nu Nu / Nu 0 10, 000 20, 000 30, 000 40, 000 MI1 MI3 MI5 96.1 46.7 42.3 162.6 81.0 68.7 255.0 121.6 97.3 327.0 153.0 119.4 MI1 MI3 MI5 2.89 1.48 1.28 2.83 1.47 1.23 3.13 1.50 1.23 3.31 1.55 1.17 4.5. Heat transfer, pressure loss and thermal performance in the first inlet passage Another possibility to compare the three investigated multiple inlet swirl tube configurations is an analysis of the first inlet passage. The second inlet enters at z / D = 4.0 into the tube. However, the incoming flow already affects a small upstream region and thus, the first inlet passage is evaluated until z / D = 3.4 . In this first passage, the evaluated 184 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. Fig. 19. Measured normalized pressure loss for all investigated multiple inlet configurations and Re = 10, 000 (Biegger, 2017). axial tube flow in the first inlet passage. The heat transfer for the MI1 configuration shows the highest values followed by the MI3 and the MI5 swirl tube. The globally averaged Nusselt number in Fig. 21(b) shows a heat transfer enhancement between four and seven times the one in axial tube flow for the three investigated swirl tube configurations. The thermal performance parameters in the first inlet passage until z / D = 3.4 is shown in Fig. 22 for comparison of the three investigated swirl tube configuration. The grey symbols indicate the friction factor enhancement including the inlet jet pressure loss. The highest thermal performance in the first inlet passage shows the MI5 swirl tube configuration. Here, the lowest friction factor enhancement occurs. The MI3 and MI1 swirl tube show a similar thermal performance. However, the swirl tube with one inlet has the highest pressure loss in the first passage. Fig. 23 shows a comparison of relative performances (heat transfer enhancement over friction factor enhancement) of several heat transfer enhancement techniques summarized by Ligrani et al. (2003). The results for the multiple inlet swirl tubes in the first inlet passage are added to this chart for a detailed comparison. The heat transfer to friction factor ratio of the swirl tube with five tangential inlet jets is in the same range than previous published swirl chamber investigations. The swirl tube with three inlet jets shows a high heat transfer performance. However, this is paid by a high friction factor penalty. This overall comparison shows the high heat transfer potential of swirl cooling devices such as swirl tubes. Table 5 Measured friction factor enhancement f/f0 over the tube and including inlets. Re 10, 000 20, 000 30, 000 40, 000 f/f0 (tube) MI1 MI3 MI5 48.95 5.14 3.59 54.93 5.43 4.35 61.42 6.52 4.71 66.12 6.74 4.84 f/f0 (tube + inlets) MI1 MI3 MI5 152.81 16.78 6.46 173.74 19.13 7.81 195.84 23.27 8.62 214.85 27.74 8.87 Fig. 20. Thermal performance parameters (Nu / Nu 0 )/(f / f0 )1/3 over the Reynolds number Re for all experimentally investigated multiple inlet configurations (Biegger, 2017). 5. Conclusions The flow phenomena, the heat transfer and the pressure loss characteristics in swirl tubes with multiple tangential inlet jets were experimentally and numerically studied in detail. Particle Image Velocimetry has been used to measure the flow field and the transient liquid crystal technique to determine the heat transfer. The numerical simulations have been performed by using Detached Eddy Simulation for a more detailed insight. The following conclusions can be drawn: Table 6 Thermal performance parameter (Nu / Nu 0 )/(f / f0 )1/3 (experiments). Re (Nu / Nu 0)/(f / f0 )1/3 MI1 MI3 MI5 10, 000 20, 000 30, 000 40, 000 0.79 0.86 0.83 0.75 0.84 0.76 0.79 0.81 0.73 0.82 0.82 0.69 (1) The investigation revealed a complex axial velocity changing after each inlet due to the additional mass flow added by the multiple inlet jets. Besides, the circumferential velocity is almost constant since the swirling flow is re-enhanced with each inlet jet, respectively. The numerical results revealed two main structures in the swirl tube with five inlet jets. First, a vortex in the tube center in a wave-like form. Second, large spiral vortices around the tube axis especially near the inlet jets. (2) The highest heat transfer in swirl tubes occurs in the inlet region(s) and decreases continuously until the next inlet or towards the tube Reynolds number Re1st is based on equal parameters as the mass flow rate is constant for all three swirl tube configurations. This Reynolds number in the first inlet passage is also used to calculate the Nusselt number based on the Dittus–Boelter correlation (Dittus and Boelter, 1930) for an axial tube flow Nu0, 1st and the friction factor correlation for an axial tube flow f0, 1st according to Blasius (Schlichting and Gersten, 2000). Fig. 21 shows the Nusselt number enhancement to the one in an 185 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. Fig. 21. Measured Nusselt numbers in the first inlet passage until z / D = 3.4 at Re1st = 11, 250 (a) and globally averaged Nusselt numbers over the Reynolds number (b) based on the jet inlet temperatures for all investigated multiple inlet configurations. Fig. 22. Thermal performance parameters (Nu1st / Nu 0,1st )/(f1st / f0,1st )1/3 in the first inlet passage until z / D = 3.4 as a function of the Reynolds number Re1st (a) and as a function of the friction factor enhancement f1st/f0, 1st (b) for all experimentally investigated multiple inlet configurations. The grey symbols indicate the friction factor enhancement including the inlet jet pressure loss. Fig. 23. Comparison of relative performances of different heat transfer enhancement techniques by Ligrani et al. (2003) together with the current work (1st inlet passage of the multiple inlet swirl tubes). (3) It can be concluded that two major mechanisms are responsible for the homogenous heat transfer in the MI5 swirl tube. At the inlets, the tangential jets impinge on the concave wall, cause an enhanced turbulence and consequently an enhanced convective heat transfer. This can also be seen in large spiral vortices at the inlets, which become stronger for the inlets further downstream due to a higher inlet mass flow rate. Additionally, with an increasing number of outlet for the swirl tube with only one inlet jet. For the swirl tubes with multiple inlets, the maximum heat transfer is lower than for the swirl tube with one inlet because of the lower inlet jet velocities. However, the heat transfer distribution is more homogeneous over the entire tube length at a much lower pressure loss than with only one inlet due to the additional tangential jets, and thus enhanced swirl strength. 186 International Journal of Heat and Fluid Flow 73 (2018) 174–187 C. Biegger et al. inlets and therefore increasing local mass flow rate in the swirl tube, the axial velocity becomes stronger and causes an enhanced heat transfer between the inlet jets. This results in a more homogeneous heat transfer distribution over the entire tube. 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