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Experimental study on temperature fluctuations on plate surface induced by coaxial-jet flow

NUCLEAR ENERGY SCIENCE AND ENGINEERING

Experimental study on temperature fluctuations on plate surface induced by coaxial-jet flow

Xue-Yao Xiong
Zun-Quan Liu
Guo-Yan Zhou
Xing Luo
Shan-Tung Tu
Nuclear Science and TechniquesVol.35, No.5Article number 41Published in print May 2024Available online 09 Apr 2024
51701

In nuclear reactors, temperature fluctuations of fluids may cause fatigue damage to adjacent structures; this is referred to as thermal striping. Research on thermal striping in the upper plenum has mainly focused on fluid fields. Few experimental studies have been reported on solid structures in a fluid field with a coaxial jet. This study entailed an experimental study of the temperature fluctuations in the fluid and on a plate surface caused by a coaxial jet. The temperature fluctuations of the fluid and plate surfaces located at different heights were analyzed. The cause of the temperature fluctuation was analyzed using a transient temperature distribution. The results show that the mixing of the hot and cold fluids gradually becomes uniform in the positive axial direction. The average surface temperatures tended to be consistent. When the jet reaches the plate surface, the swing of the jet center, contraction and expansion of the cold jet, and changes in the jet shape result in temperature fluctuations. The intensity of the temperature fluctuation was affected by the position. More attention should be paid when the plate is located at a lower height, and between the hot and cold-fluid nozzles.

Temperature fluctuationThermal stripingCoaxial jetThermal mixingThe upper plenum of nuclear reactor
1

Introduction

During the operation of nuclear reactors, owing to the uneven temperature of fluids, mixing of fluid streams with different temperatures, alternating thermal stress, and severe fatigue damage may occur in adjacent structures [1, 2]. This phenomenon, referred to as thermal striping, is pronounced in the upper plenum of nuclear reactors[3], pipe elbows [4], and T-junction [5]. Elbow failure is often caused by fluid stratification at different temperatures[6]. The causes of thermal striping at the T-junction and upper plenum of nuclear reactors are similar, namely, the mixing of fluids at different temperatures[7, 8]. Because temperature change is the main cause of damage, the analysis of temperature fluctuations at the aforementioned locations is the basis for the study of thermal striping [9].

Because T-junctions are a common structure in pipelines, temperature fluctuations in these locations have been extensively studied. At T-junctions, two fluids are mixed vertically at different temperatures. Temperature fluctuations occur downstream of the mixing position[10]. Several studies have been reported on temperature fluctuations in T-junctions. Most such studies have focused on the fluid temperature distribution inside T-junctions under different conditions. Kimura et al. [11] characterized the jet impingement and mixing between a hot stream and a smaller cold branch flow. It was found that the temperature fluctuation in the T-junction with the elbow upstream had a large component at a low frequency compared to the straight case. Zhou et al.[12] conducted thermal mixing experiments to investigate the thermal striping close to a weld connection downstream of a 90° T-junction. The results show that the change in temperature difference has a significant influence on the stability of the thermal stratification in the mixing flow, as well as on the phenomenon of reverse flow. Walker et al.[13] and Kickhofel et al.[14] characterized T-junction mixing by using wire mesh sensors. The experiments obtained a large amount of temperature distribution data on the cross-section of the T-junction; these data are ideal for verifying the accuracy of the simulation. On the basis of experimental results, many scholars have performed simulation analyses of temperature fluctuations in T-junctions. Most studies indicate that large eddy simulations (LES) can reproduce long-term temperature fluctuations at T-junctions [15, 16]. Qian and Kasahara[17] performed LES analyses of flow and temperature fields at a T-junction by using different subgrid-scale (SGS) models. The simulation results indicate that the numerical schemes significantly affect the temperature distribution and temperature-fluctuation intensity. An approach using the dynamic Smagorinsky model (DSM) and a hybrid scheme with a large blending factor can accurately predict fluid temperature fluctuations. In addition, some studies have focused on the heat transfer between fluids and structures. Guo et al.[18] measured the outer wall temperature and solved one-dimensional and two-dimensional inverse heat conduction problems (IHCPs) to estimate the temperature fluctuations on the inner wall. LES can also be used for the conjugate heat transfer (CHT) analysis between the fluid and pipe wall in a T-junction [19]. Utanohara et al.[20] performed a fluid-structure coupled simulation of a CHT to investigate the predictive performance of the flow and temperature fields and the temperature fluctuation on the inner surface of the pipe at the T-junction. The simulation reproduced the trend of the experimental data, particularly the velocity fluctuation intensity peak near the wall. Although the mixing form of the T-junction differs from that of the upper plenum, these studies provide important methodological references for studying the temperature fluctuations in the upper plenum.

In the upper plenum, owing to the distribution characteristics of the core assemblies, there were many fuel assemblies around each control-rod assembly at different distances. Moreover, the coolant flow in each channel around the fuel assembly is not always consistent. This led to different coolant temperature profiles in each channel, resulting in thermal striping. In the upper plenum, multiple fluids of different temperatures flow and mix in parallel, causing temperature fluctuations in the flow direction[21]. Thermal striping in the upper plenum damages many vital components. Therefore, they have attracted significant attention[22]. Over the past few decades, various thermal striping studies focusing on the upper plenum of nuclear reactors have been reported. The upper plenum was previously simplified as a parallel-jet model. Wakamatsu et al.[23] conducted an experimental study on thermal striping in an upper plenum. In their study, a parallel-jet model was adopted to analyze the attenuation characteristics of temperature fluctuations with water and liquid sodium, and a general attenuation range was provided. Tokuhiro et al.[1] further investigated thermal striping by using a triple-parallel jet model. The mixing locations were measured and determined using the same velocities and various velocity cases. Chacko et al.[24] conducted a numerical study by using a triple parallel jet. It was found that LES could be used to analyze the unsteady characteristics of thermal striping. Their study also indicated the limitations of the Reynolds-averaged Navier-Stokes (RANS) approach for unsteady heat transfer simulations. Wang et al.[25, 26] used LES to study the temperature fluctuations caused by a parallel jet in different media. They concluded that the temperature-fluctuation amplitudes of the lead-based materials were more significant than those of sodium. Yu et al. [27] conducted steady and unsteady simulations (RANS, unsteady RANS (URANS), and LES) based on the triple-parallel jet model. The temperature fluctuation in the unsteady simulation agreed well with the experimental results. Lomperski et al.[28] presented velocity and temperature field measurements in which two air jets were mixed and impinged on a wall. This indicates that the mixing is better when the jet impacts the wall than when it is freely extended. Krishna et al.[29] employed two parallel jets impinging on a lattice plate above them. The Reynolds stress turbulence model was used to evaluate temperature fluctuations near the plate. Jets with a unity velocity ratio exhibited the maximum temperature fluctuations. Kimura et al.[30] employed a triple parallel jet to experimentally investigate the transfer characteristics of temperature fluctuation from the fluid to the structure. The nonstationary heat transfer characteristics can be represented by a heat transfer coefficient that is constant in time and independent of the frequency of the temperature fluctuation. The aforedescribed studies analyzed the thermal striping phenomenon by using parallel-jet and triple-parallel jet models, which can reflect the two-dimensional characteristics of the temperature fluctuations. However, the thermal mixing in the upper plenum is a complex phenomenon. Thermal striping exhibits strong three-dimensional characteristics at this location.

Consequently, many studies have simplified the upper plenum of nuclear reactors to a coaxial-jet model. Because coaxial jets can reflect the three-dimensional characteristics of temperature fluctuations, their use to describe the thermal striping phenomenon is reasonable[31]. Lu et al.[32] conducted coaxial-jet experiments to investigate the temperature-fluctuation characteristics of a flow field. They found that the alternating extrusion of hot- and cold-flow columns caused temperature fluctuations. Kok et al.[33] experimentally and numerically investigated the mixing behavior of hot and cold fluids for coaxial-jet flows. The thermal mixing efficiency increased with the temperature difference between the hot and cold jet flows. The thermal mixing performance was improved by increasing the hot-jet flow rate. Tenchine et al.[34] conducted jet experiments on sodium and air. The objective of their experiment was to evaluate the possibilities and limitations of simulating sodium-mixing jets by using a typical fluid. It was found that a rather good estimation of the mean sodium temperature and temperature fluctuation was possible when tests using a simulant fluid were performed at a Reynolds number close to that of the prototype. Their study on the temperature fluctuation induced by a coaxial jet was limited to the fluid field. The swing of the jet likely causes a constant change in the fluid temperature at some positions. However, this change is also transferred to the adjacent solid structures, resulting in temperature fluctuations in solid structures. However, the plate in the fluid causes the flow field to change. Therefore, to elucidate the mechanism of thermal striping, the temperature fluctuations of the flow field and structure surface caused by coaxial-jet flows with an adjacent solid structure must be experimentally examined.

In this study, the thermal striping phenomenon induced by a coaxial jet was experimentally investigated using a coaxial-jet experimental setup. The temperature fluctuations of the fluid and plate surfaces in the coaxial-jet flow field were examined. The transient temperatures of the plates located at different heights were measured and analyzed. Subsequently, variations in the average temperature and local temperature-fluctuation intensity along the axial direction were studied.

2

Experimental setup

2.1
System description

An experimental setup based on a coaxial-jet model was designed and built to study the temperature fluctuations. The setup included hot fluid, cold fluid, mixing, and measurement systems, as shown in Fig. 1(a). Both hot- and cold-fluid systems consist of a thermostatic water tank, booster pump, electromagnetic flowmeter, storage tank, valves, and pipes, which can provide steady water flow at specified temperatures and flow rates. The mixing system included coaxial-jet nozzles, a mixing zone, valves, and pipes. The coaxial-jet nozzle was designed using two independent passages. Cold fluid flows through the central passage, whereas hot fluid flows through the outer passage. The two fluids are mixed coaxially in the mixing zone. The measurement system is mainly used for the temperature measurement of the fluid and plate surface in the mixing zone and comprises thermocouples, brackets, a data acquisition card, and a computer.

Fig. 1
(Color online) Experimental setup and measurement points. (a) Schematic of the experimental setup (b) Photograph of the experimental setup (c) Test zone (d) Coaxial-jet nozzle (e) Schematic of measurement points
pic

During the experiment, hot and cold water were pumped into the mixing zone from the thermostatic water tank via the valves. The mixed water flows into the storage tank and then recycled into the thermostatic water tank. Figure 1(b) shows a photograph of the experimental setup.

2.2
Test zone and inlet temperature test point

The test zone was a transparent acrylic box with dimensions 250 mm × 250 mm × 100 mm, as shown in Fig. 1 (c). The coaxial jet inlet is located at the bottom of the test zone. The nozzle was placed 10 mm above the bottom to reduce the impact of the bottom plate on the inlet fluid. The outlet was located on the two sides above the box, away from the test zone, to reduce its impact on the flow field. The brackets were movable and can be placed at certain heights within the box to enable temperature measurements at different heights.

The cold-fluid inlet was circular with a diameter of 10 mm. The hot-fluid inlets were annular with 24.5 mm and 32 mm. Three measurement points were evenly arranged on the circumferences of the hot and cold-fluid nozzles to measure the inlet temperatures of the fluids, as shown in Fig. 1(d).

2.3
Uncertainty analysis

The temperature was measured using a T-type thermocouple with a diameter of 0.08 mm. The time interval for temperature sampling was 0.01 s. The velocity was calculated using the hot and cold flow rates and the cross-sectional area of the coaxial-jet nozzle. The hot and cold flow rates were measured using electromagnetic flow meters. The setup temperature measurement range was 20-90 ℃, and the flow rate was 0.141-2.802 m3/h. The temperature measurement uncertainty was determined using a thermocouple and a data acquisition card. An electromagnetic flow meter was used to directly determine the uncertainty in the flow measurement.

The measurement range and accuracy of the equipment were as follows. The measurement range of the T-type thermocouple was 0-150 ℃, and the expanded uncertainty was U(Tthermocouple) = 0.2 K with an inclusion factor k = 2. The standard uncertainty of the thermocouple u(Tthermocouple) = 0.1 K. The interval half-width of the data acquisition card (model, Hioki) a(THioki) = 0.5 K for the T-type thermocouple within 0-100 ℃. The electromagnetic flowmeter measurement range was 0-3 m3/h with a half-width a(Vflowmeter) = 0.0102 m3/h. Considering uniform distribution, the inclusion factor was taken as k=3, and the standard uncertainty of the data acquisition card u(THioki) = 0.28 K. The standard uncertainty of flowmeter u(Vflowmeter) = 0.00589 m3/h. The combined standard uncertainty of the temperature measurement uc(T) can be obtained using Eq. (1) [35]. uc(T) =u(Tthermocouple)2+u(THioki)2 (1)

Thus, the combined standard uncertainty of the temperature uc(T) = 0.311 K. Similarly, the standard uncertainty u(V) and relative expanded uncertainty range ucrels(V) of the flow measurement can be obtained using Eqs. (2) and (3), respectively: u(V)=u(Vflowmeter), (2) ucrels(V) = k(us(V)Vmax us(V)Vmin). (3)

The standard uncertainty u(V) = 0.00589 m3/h, and the expanded uncertainties of the flow measurement ucrels(V)= 0.42%-8.4%.

The inlet temperature Tin is the average of the values at the three measurement points.

The combined standard uncertainty of the inlet temperature measurement uc(Tin) can be calculated using Eq. (4). uc(Tin)=[u(Tthermocouple)]2+[u(THioki)]23 (4)

The combined uncertainty of inlet temperature measurement uc(Tin) was 0.180 K. This shows that the setup has high measurement stability and can be used for experimental measurements.

2.4
Data processing method

For the convenience of discussion, the temperature and radius values were nondimensionalized. The dimensionless temperature is expressed as T*=T-TColdTHot-TCold, (5) where TCold and THot denote the inlet temperatures of the cold and hot fluids, respectively. The average values measured at the test points at the inlet were used. The dimensionless average temperature was calculated as TAvg*=1ni=1nT*. (6)

The dimensionless radius is the ratio of the diameter to the cold-fluid inlet diameter. r*=rrCold (7) where rCold is the radius of the cold-fluid inlet (5 mm). The root-mean-square (RMS) temperature can be used to express the intensity of temperature fluctuations. TRMS*=1ni=1n(Ti*-T*¯)2 (8)

3

Coaxial-jet experiment scheme

The temperature sensors were fixed in the fluid and on the plate surface using detachable brackets. The temperature measurements of the plate surface were divided into two parts. First, the 29 points shown in Fig. 1(e) were arranged to measure the entire plane of the lower surface. Because the temperature fluctuation caused by the coaxial jet was symmetrical, the measurement points were arranged along the radial direction in further tests. There were 13 measurement positions on the plate surface, as shown in Fig. 1(e), at which the thermocouples were pasted without covering so that the thermocouple can be in contact with the fluid. To measure the fluid temperature, 13 thermocouples were fixed on a tungsten steel wire under the plate surface, as shown in Fig. 1(e). The measurement point positions were the same as those shown in Fig. 1(e).

The plate size was 100 mm×100 mm, and the thickness was 1 mm. Its material is stainless steel 316, with a density of 7.98 g/cm³, thermal conductivity of 15.1 W/(m·K), and specific heat capacity of 0.502 J/(g·K).

For all the test cases, the flow velocity was 0.5 m/s. The plate height zp was varied from 30 to 110 mm. The cold and hot water temperatures were set at 20 °C and 40 °C, respectively. The thermocouple sampling time interval was 0.01 s, and the measurement time of a single test was approximately 180 s. The experimental conditions are listed in Table 1.

Table 1
Experiment conditions
    Height (mm) Hot water Cold water
      Temperature (°C) Velocity (m/s) Temperature (°C) Velocity (m/s)
Plate surface Case 1 30 40 0.5 20 0.5
  Case 2 40 40 0.5 20 0.5
  Case 3 50 40 0.5 20 0.5
  Case 4 60 40 0.5 20 0.5
Fluid in radial direction Case 5 10 40 0.5 20 0.5
  Case 6 20 40 0.5 20 0.5
  Case 7 30 40 0.5 20 0.5
  Case 8 40 40 0.5 20 0.5
Plate surface in the radial direction Case 9 30 40 0.5 20 0.5
  Case 10 40 40 0.5 20 0.5
  Case 11 50 40 0.5 20 0.5
  Case 12 70 40 0.5 20 0.5
  Case 13 90 40 0.5 20 0.5
  Case 14 110 40 0.5 20 0.5
Show more
4

Temperature fluctuation on the plate surface

Considering a plate height of 50 mm as an example, in addition to the temperature fluctuations on the plate surface, the fluid temperature fluctuation between the coaxial-jet nozzle and the plate was analyzed. The height measurement range for the fluid temperature was 10-40 mm, shown as by Z1-Z4 in Fig. 1(e). The dimensionless heights were calculated as zf*=zfzp, (9) where zf is the measured height of the fluid. zp is the plate height, which was 50 mm in this study.

4.1
Transient temperature analysis

Subsequent average temperature analysis revealed that the dimensionless average temperature of the fluid was symmetric. Therefore, an analysis of the transient temperature was performed along the radius (P15-P18 in Fig. 1(e)). The temperature fluctuations were entirely random, as shown in Fig. 2(a). When the plate height zp = 50 mm, the temperature at each radial position significantly fluctuated; r* = 0 showed the most pronounced fluctuations. In addition, there were small fluctuations overall temperature increase and decrease. For example, at r* = 0, the temperature shows a decreasing trend between 0 and 0.2 s; however, this process is accompanied by two minor temperature increases.

Fig. 2
(Color online) Dimensionless transient temperature, average temperature, and intensity of temperature fluctuations of fluid on the plate surface (a) Transient temperature on plate surface with plate height zp = 50 mm (b) Transient temperature of fluid with plate height zp = 50 mm (c) Average temperature in the radial direction (d) Average temperature in the axial direction (e) RMS temperature in the radial direction (f) RMS temperature in the axial direction
pic

The cause of the temperature fluctuation can be analyzed by comparing the temperature fluctuation in Fig. 2(a) with the transient temperature distribution on the plate surface at different times shown in Fig. 3(a). These temperature fluctuations can mainly be attributed to the fluid instability. As indicated by the transient temperature distribution on the plate structure, this instability is mainly reflected in the following three aspects. First, the cold fluid would expand and contract as time progresses. For example, the cold fluid expands during 0-0.2 s and contracts during 0.2-0.4 s. Correspondingly, the center (r* = 0) temperature decreases in 0-0.2 s, and the temperature increases in 0.2-0.4 s (Fig. 2(a)). Second, the jet center would swing over time. At 0.2 s, the center of the cold fluid was at r* = 0, as shown in Fig. 3(a). At 0.5 s, the center moved downward. At 0.6-0.7 s, the cold-fluid center appeared on the left. The transient temperatures are presented in Fig. 2(a). The temperature at r* = 2 increases when the cold-fluid center swings to the left at 0.4 s. Finally, the shape of the jet also changes significantly. Occasionally, the temperature distribution on the plate surface presents a relatively regular circle, for instance, that at 1.1 s. It may also extend in different directions, for example, the observations corresponding to 0.1 s, 0.2 s, and 0.9 s. Mostly, the shape of the jet is relatively irregular. Under the combined influence of these three factors, the temperature would fluctuate at each point on the plate surface.

Fig. 3
(Color online) Dimensionless transient temperature distribution on the plate surface (a) zp = 50 mm (b) zp = 30 mm (c) zp = 40 mm (d) zp = 60 mm
pic

In the flow field between the jet nozzle and the plate, the transient temperatures at zf* = 0.2 and zf* = 0.6 were as shown in Fig. 2(b). The position at which the temperature fluctuation is relatively prominent changes along the axial direction. The position with notably evident temperature fluctuation is at r* = 1 when zf* = 0.2 and at r* = 0 when zf* = 0.6. Compared to plate surface, temperature changes were more frequent in the flow field zf* = 0.2 and zf* = 0.6.

4.2
Average temperature distribution

Over a long period, the temperatures at various radial positions fluctuated around a fixed value. This is reflected in the dimensionless average temperature values. The dimensionless average temperature of the plate surface at zp = 50 mm is shown in Fig. 4(a). The average temperature was the lowest at the center and continued to increase along the radial direction. The temperature distribution was almost circular. Therefore, the temperature along the radial direction was selected for further analysis. The dimensionless average temperature of the fluid in the radial direction was symmetrical, as shown in Fig. 2(c). The blue and red blocks on the horizontal axis represent the positions of the cold- and hot-fluid nozzles, respectively. The average temperature was the lowest at the center. In the positive radial direction, it increased rapidly and reached the maximum value above the hot-fluid nozzle. Subsequently, the average temperature decreased slowly and finally reached a constant value of approximately 0.836. Moreover, the lower the height, the smaller would be the minimum value and the larger would be the maximum value. The average dimensionless temperature on the plate surface showed a considerably different behavior. It increased continuously in the positive radial direction. There was no longer a prominent high-temperature peak above the hot-fluid nozzle. This phenomenon may be attributed to the cold fluid in the center flowing in all directions and rapidly mixing with the hot fluid when the jet reaches the plate surface.

Fig. 4
(Color online) Dimensionless average temperature and RMS dimensionless temperature on the plate surface (a) Average temperature (b) RMS temperature
pic

To examine the temperature variation in the axial direction, the center position (P15 in Fig. 1(e), r* = 0), mixing zone between the hot and cold fluids (P16 in Fig. 1(e), r* = 2), and outer position (P18 in Fig. 1(e), r* = 6) were considered for the analysis. Fig. 2(d) shows the average dimensionless temperature of the fluid in the axial direction. The average temperature increased at the center (r* = 0) in the axial direction. It decreases at r* = 2 and remains constant at r* = 6. This variation is linear between zf* = 0.2-0.8.

4.3
Intensity of temperature fluctuation

Intensity of the temperature fluctuations can better characterize their severity. This can be expressed as the RMS temperature. For zp = 50 mm, the RMS dimensionless temperature on the plate surface was as shown in Fig. 4(b). The temperature evidently fluctuated above the jet nozzle. The RMS temperature along the radial direction is shown in Fig. 2(e). At zf* = 0.2, 0.4, and 0.8, the RMS temperature initially increased and then decreased, with the maximum value observed at r* = 1. At zf* = 0.6, the RMS temperature decreased continuously from r* = 0. At the plate surface, the RMS temperature was relatively higher in the range of r* < 4.

Figure 2(f) shows the variation of the intensity of the temperature fluctuations in the axial direction. At r* = 0, the RMS temperature increased when zf* < 0.6 and gradually decreases when zf* ≥ 0.6. It shows an increasing trend at r* = 2 and remains constant at r* = 6. Severe temperature fluctuations indicated that the hot and cold fluids constantly alternated at this position. This point was the junction of the hot and cold fluids. Therefore, the intensity of the temperature fluctuation at r* = 0 reflected the amplitude of the jet swing. When zf* < 0.6, the jet swing amplitude increased in the axial direction. The junction between the hot and cold fluids can swing toward the center. Therefore, the RMS temperature at r* = 0 continued to increase. When zf* ≥ 0.6, the plate makes the jet more stable, and the swing amplitude becomes small. The RMS temperature decreases at r* = 0. This phenomenon was also reflected in the maximum RMS temperature, as shown in Fig. 2(f). When zf* < 0.6, the maximum RMS temperature was observed at r* = 1. With increasing height, it moved to the center (r* = 0). Evidently, the RMS temperature is the highest at r* = 0 when zf* = 0.6 in Fig. 2(f). When the position approaches the plate surface, the maximum RMS temperature was restored to r* = 1 at zf* = 0.8. In the flow field, hot and cold fluid flowed along the positive axial direction. When the fluid reached the plate surface, the direction of fluid flow changed. The fluid flowed along the radial directions. Therefore, the junction of the cold and hot fluids moves outward. The maximum RMS temperature was observed at r* = 2 on the plate surface. Furthermore, the maximum RMS temperature at the position 0.2 < zf* < 0.8 is much larger than that on the plate surface; this implies that the temperature-fluctuation attenuation is rapid near the plate surface.

5

Effect of plate height on temperature fluctuation

To experimentally investigate the effect of plate height, the plate was placed above the jet nozzle at different heights, and the temperature fluctuations on the lower surface were measured. The height range was 30-110 mm, denoted as Z3-Z9 in Fig. 1(e).

5.1
Transient temperature changes with height

Compared with zp = 50 mm, the cold fluid expanded and contracted with time at different plate heights. However, changes in the swing and shape of the jet were insignificant when the plate height zp = 30 mm. As the height increases, the jet swing and temperature distribution changes become increasingly pronounced, as shown in Fig. 3.

The transient temperature at zp = 30 mm and its frequency domain representation in the radial direction are shown in Fig. 5. The temperature fluctuation was the most severe at r* = 2 between the hot and cold fluids at this height. The fluctuation range was approximately 0.2-0.9. The frequency domain (Fig. 5(a)) representation shows that the temperature fluctuation has no prominent peak frequency. However, the temperature fluctuations were more severe at lower frequencies. At r* = 2, the frequency of the temperature fluctuation was mainly distributed within 10 Hz. At r* = 0, the amplitude above 5 Hz is almost zero.

Fig. 5
(Color online) Transient dimensionless temperature in time and frequency domains (a) zp = 30 mm (b) zp = 40 mm (c) zp = 50 mm (d) zp = 70 mm (e) zp = 90 mm
pic

The transient temperature variations at plate heights zp = 40, 50, 70, and 90 mm are shown in Fig. 5. The ranges of temperature fluctuations at different positions exhibited different changes in the axial direction. At the center (r* = 0), the temperature-fluctuation range changed from 0-0.1 at zp = 30 mm to 0.5-0.7 at zp = 50 mm and 0.7-0.8 at zp = 90 mm. The temperature-fluctuation range at r* = 2 decreased from 0.2-0.9 at zp = 30 mm to 0.7-0.8 at zp = 90 mm. The temperature fluctuation at r* = 5 was from 0.9-1 at zp = 30 mm to 0.75-0.85 at zp = 50 mm and finally reached 0.7-0.8 at zp = 90 mm. During the entire process, the fluctuation range remained almost unchanged. Only the average temperature decreased slightly. The variation in the temperature-fluctuation range was the result of cold and hot fluids mixing and jet instability. The variation in temperature fluctuation with height was analyzed using the average temperature and temperature fluctuation intensity.

5.2
Average temperature changes with height

The average temperature of the center gradually increased in the positive axial direction. The outside temperature gradually decreased, as shown in Fig. 4(a). The temperature distribution was almost circular. Therefore, the temperature in the radial direction was used for further analysis.

The dimensionless average temperature of the plate surface in the radial direction is shown in Fig. 6(a). The temperature in the radial direction was symmetrical. However, because of the non-coaxial nature of the testing bracket, its symmetry region was between r* = 0 and r* = -1. The average temperature at the center was low and increased gradually with the radius. It reached a constant value at r* = 5. As the height increased, the temperature at the center increased. The temperature at each radial point was identical. This indicated that the mixture became uniform.

Fig. 6
(Color online) Dimensionless average temperature and intensity of temperature fluctuations on the plate surface (a) Average temperature in the radial direction (b) Average temperature in the axial direction (c) RMS temperature in the radial direction (d) RMS temperature in the axial direction
pic

The dimensionless average temperature variation along the axial direction was as shown in Fig. 6(b). The temperature at r* = 0 increased continuously with increasing height. The position at r* = 2 showed a relatively slow increase. However, the temperature at r* = 6 decreases in the range of 30 mm < zp ≤ 70 mm. When zp > 70, it remained almost constant. This demonstrates the effect of height on fluid mixing. At zp = 30 mm, the average temperature at r* = 0 is approximately 0. This implies that the cold fluid at the center did not start to mix. The temperature at each point changed rapidly within the range 30 mm < zp ≤ 70 mm. This implies that the fluid mixes rapidly at this height. When zp > 70 mm, the temperature gradually varied. The temperatures at each point tended to be the same, indicating that the mixing process was complete.

5.3
Temperature-fluctuation intensity changes with height

The position of the maximum temperature-fluctuation intensity on the plate surface evidently changed with height. When zp = 30 mm, an annular shape was observed with a strong temperature fluctuation between the hot and cold fluids. The RMS temperature at the center was relatively low, as shown in Fig. 4(b). However, when zp = 40 mm, the RMS temperature above the nozzle showed little difference and only decreased significantly when r* > 2. As the height increased, the RMS temperature gradually decreased, and the temperature-fluctuation intensity at each point gradually became uniform.

The RMS temperature variation in the radial direction are shown in Fig. 6(c). The points with higher temperature-fluctuation intensity at different heights are mainly distributed in the circular area above the nozzle in the range r* ≤ 4. The temperature-fluctuation intensity is determined by the jet instability and hot and cold fluid mixing with height. As the height increases, the amplitude of the jet sway increases. For low values of height, the point of the most severe temperature fluctuation is between the hot and cold fluids (r* = 2). However, when the height is higher, the intensity of temperature fluctuation in the range of r* ≤ 4 tends to be consistent. However, with an increase in the axial direction, the jet mixing becomes more uniform, and the amplitude of the temperature fluctuation decreases gradually. Under the combined action of these two factors, the temperature-fluctuation intensity first increases and then decreases at r* = 0, and it decreases continuously at r* = 2. It remains almost unchanged when r* = 6, as shown in Fig. 6(d). This implies that when the plate is located at different heights above the jet, the points affected by the temperature fluctuations that need to be analyzed are entirely different. When the height is low, the analysis must focus on the locations between the hot and cold-fluid nozzles. When the height is high, a series of positions from the center of the cold-fluid nozzle to the position of the hot fluid nozzle must be comprehensively considered. The analysis of the temperature-fluctuation range in Subsection 5.1 also highlights this phenomenon.

6

Conclusion

In this study, fluid and plate surface temperature fluctuations were experimentally investigated using a setup based on a coaxial-jet model. Essentially, the behavior of the temperature fluctuation of the fluid and the plate surface was studied. Furthermore, the variation in the axial direction was analyzed. The following conclusions were drawn from this study:

(1) An experimental setup was constructed. The combined standard uncertainty of the temperature measurement is uc(T) = 0.311 K, and the expanded uncertainties of the flow measurement ucrels(V) = 0.42%-8.4%. The setup exhibited sufficient stability and accuracy to study the temperature fluctuations of the fluid and plate surface.

(2) The temperature fluctuations were mainly caused by the instability of the jet. The instability of the fluid was primarily manifested in the expansion and contraction of the center of the cold fluid over time, the swing of the center position of the jet, and the shape change of the jet. These three factors caused temperature fluctuations on the plate surface. With an increase in the plate height, the jet swing and shape change became more pronounced.

(3) The dimensionless average temperatures of the fluid and plate surfaces were symmetrical around the center of the cold fluid. For the fluid, it first increased and then decreased along the radial direction; further, it varied linearly along the axial direction within zf* = 0.2-0.8. On the plate surface, it increased continuously as the radius increased. It gradually increased at the center with increasing plate height. The average temperature reflects the fluid mixing. Fluid mixes rapidly during 30 mm < zp ≤ 70 mm and slowly when zp > 70 mm.

(4) The maximum temperature-fluctuation intensity on the plate surface was much smaller than that of the fluid. The temperature-fluctuation attenuation was rapid near the surface of the plate. The intensity of the temperature fluctuation on the plate surface was affected by its radius and height. It first increased and then decreased at r* = 0, whereas it continuously decreased at r* = 2 and remained unchanged at r* = 6 as the plate height increased. When the plate height was low (zp < 30 mm), the analysis should focus on the locations between the hot- and cold fluid nozzles. When the height is high (zp > 40 mm), a series of positions from the center of the cold-fluid nozzle to the hot fluid nozzle must be comprehensively considered.

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Footnote

The authors declare that they have no competing interests.