Post-dryout heat transfer: Physical mechanisms and a survey of prediction methods

Groeneveld, D.C.

doi:10.1016/0029-5493(75)90099-0

Cited by 43 publications

(12 citation statements)

References 11 publications

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“…As reviewed by various researchers [7][8][9][10][11][12][42][43][44], there are a number of correlations for heat transfer in the post dryout region. However, these correlations are developed without detailed knowledge of two-phase hydrodynamics.…”

Section: Discussionmentioning

confidence: 99%

Two-phase flow characteristic of inverted bubbly, slug and annular flow in post-critical heat flux region

Ishii

Denten

1990

Nuclear Engineering and Design

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Inverted annular flow can be visualized as a liquid jet-like core surrounded by a vapor annulus. While many analytical and experimental studies of heat transfer in this regime have been performed, there is very little understanding of the basic hydrodynamics of the post-CHF flow field. However, a recent experimental study was done that was able to successfully investigate the effects of various steady-state inlet flow parameters on the post-CHF hydrodynamics of the film boiling of a single phase liquid jet. This study was carried out by means of a visual photographic analysis of an idealized single phase core inverted annular flow initial geometry (single phase liquid jet core surrounded by a coaxial annulus of gas). In order to extend this study, a subsequent flow visualization of an idealized two-phase core inverted annular flow geometry (two-phase central jet core, surrounded by a coaxial annulus of gas) was carried out. The objective of this second experimental study was to investigate the effect of steadystate inlet, pre-CHF two-phase jet core parameters on the hydrodynamics of the post-CHF flow field. In actual film boiling situations, two-phase flows with net positive qualities at the CHF point are encountered. Thus, the focus of the present experimental study was on the inverted bubbly, slug, and annular flow fields in the post dryout film boiling region. Observed post dryout hydrodynamic behavior is reported. A correlation for the axial extent of the transition flow pattern between inverted annular and dispersed droplet flow (the agitated regime) is developed. It is shown to depend strongly on inlet jet core parameters and jet void fraction at the dryout point. DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or othrrwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United Stales Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

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Section: Discussionmentioning

confidence: 99%

Two-phase flow characteristic of inverted bubbly, slug and annular flow in post-critical heat flux region

Ishii

Denten

1990

Nuclear Engineering and Design

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“…Table 8. Additionally, the mean error and RMS error of Groeneveld-1 correlation (Groeneveld, 1975) is 5.9% and 21.6%, respectively. More details about the distribution of error parameters could be found in Figure 8, which displays prediction results of both water and CO 2 experiments together.…”

Section: References Correlationsmentioning

confidence: 95%

“…Figure 11A shows the variation of heat transfer coefficient versus the equilibrium quality, when the pressure increases from 16 to 20 MPa for water experiments. Figure 11B compares the PDO heat transfer for (Bishop et al, 1964) 4.08 21.9 700 3,400 0.07 1.0 N/A -Bishop-2 (Bishop et al, 1964) 4.08 21.9 700 3,400 0.07 1.0 N/A -Bishop-3 (Bishop et al, 1964) 16.8 21.9 1,350 3,400 0.1 1.0 N/A -Miropol'skii (Miropol'skii, 1963) 4.05 22 700 2000 0.06 1.0 8 24 Swenson (Swenson et al, 1962) 20.68 20.68 949.4 1,356.2 0.08 0.98 10.4 10.4 Groeneveld-1 (Groeneveld, 1975) 6.88 21.5 700 5,300 0.1 0.9 1.5 25.0 Groeneveld-2 (Groeneveld, 1975) 3.4 21.5 700 5,300 0.1 0.9 1.5 25.0 Groeneveld-3 (Groeneveld and Delorme, 1976) 0.69 21.5 130 5,200 -0.12 3.09 2.54 12.8 Herkenrath (Herkenrath, 1967) 17 21.5 700 3,500 0.1 1.0 5 20 Slaughterbeck (Slaughterbeck et al, 1973) 6.8 20 1,050 5,300 0.0 1.0 13.4 17.0 2003 FB LUT (Groeneveld et al, 2003) 0.1 20 0 7,000 -0.2 2.0 8 8 uniformly heated round tubes with CO 2 at pressure of 6.49 and 7.0 MPa, respectively. Moreover, the prediction results with Song correlation (Song et al, 2021b) for each test case are plotted in Figure 11 as well.…”

Section: Effect Of Pressure On Pdo Heat Transfermentioning

confidence: 99%

Assessment of CHF and Post-CHF Heat Transfer Models for High-Pressure Condition

Song

Liu

2021

Front. Energy Res.

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Supercritical heat transfer systems may undergo trans-critical procedures and work at subcritical conditions during startup, shutdown, or some accidents. However, well-validated heat transfer models for the high-pressure condition (P/Pc>0.7) are still missing. In the present work, with exhaustive literature review, extensive experimental databanks of CHF and post-dryout heat transfer under high-pressure condition are established, respectively. Existing prediction models for the high-pressure condition are also summarized from all over the world. Thereby, with the aid of the high-pressure experimental databank, prediction models get evaluated. It has been demonstrated that CHF correlation developed by Song et al. shows good predictive capability. Post-dryout heat transfer could get well predicted by the Song correlation. These recommended prediction models could be implemented to upgrade safety analysis codes for simulation of trans-critical transients.

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“…One model (2), (3) assumes thermal equilibrium, enabling the lower limit of wall temperature to be determined. Another model (3) , which does not consider droplet vaporization at all, can predict the upper limit of wall temperature.…”

Section: Introductionmentioning

confidence: 99%

“…Another model (3) , which does not consider droplet vaporization at all, can predict the upper limit of wall temperature. A further model (2) - (4) , which uses a correction coefficient, has a wider range of applicability than other post-dryout correlations. Accordingly, Guo and Mishima (5) recently proposed a detailed heat transfer model which considers all heat transfer paths including droplet contact heat transfer.…”

Section: Introductionmentioning

confidence: 99%

Post-Dryout Heat Transfer Analysis Model with Droplet Lagrangian Simulation

Matsuura¹,

Kataoka

Mishima

2006

JSME international journal. Ser. B, Fluids and thermal engineer

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Post-dryout heat transfer analysis was carried out considering droplet behavior by using the Lagrangian simulation method. Post-dryout heat transfer is an important heat transfer mechanism in many industrial appliances. Especially in recent Japanese BWR licensing, the standard for assessing the integrity of fuel that has experienced boiling transition is being examined. Although post-dryout heat transfer analysis is important when predicting wall temperature, it is difficult to accurately predict the heat transfer coefficient in the post-dryout regime because of the many heat transfer paths and non-equilibrium status between droplet and vapor. Recently, an analysis model that deals with many heat transfer paths including droplet direct contact heat transfer was developed and its results showed good agreement with experimental results. The model also showed that heat transfer by droplet could not be neglected in the low mass flux condition. However, the model deals with droplet deposition behavior by experimental droplet deposition correlation, so it cannot estimate the effect of droplet flow on turbulent flow field and heat transfer. Therefore, in this study we deal with many droplets separately by using the Lagrangian simulation method and hence estimate the effect of droplet flow on the turbulent flow field. We analyzed post-dryout experimental results and found that they correlated well with the analysis results.

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Post-dryout heat transfer: Physical mechanisms and a survey of prediction methods

Cited by 43 publications

References 11 publications

Two-phase flow characteristic of inverted bubbly, slug and annular flow in post-critical heat flux region

Two-phase flow characteristic of inverted bubbly, slug and annular flow in post-critical heat flux region

Assessment of CHF and Post-CHF Heat Transfer Models for High-Pressure Condition

Post-Dryout Heat Transfer Analysis Model with Droplet Lagrangian Simulation

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