Percolative Scale-Free Behavior in the Boiling Crisis

Zhang, Limiao; Seong, Jee Hyun; Bucci, Matteo

doi:10.1103/physrevlett.122.134501

Cited by 53 publications

(39 citation statements)

References 26 publications

(35 reference statements)

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“…Besides experimental observations, theoretical models proposed in Ref. [16] and [18] also prove that the boiling crisis can be explained as a result of bubble percolative process [19]. The percolative scale-free characteristic of boiling crisis provides us a criterion to predict CHF and open a gate to better understand the vapor film formation and near-wall bubble interactions.…”

Section: Introductionmentioning

confidence: 82%

“…In 2010s, the Acoustic Emission(AE) energy distribution of heating surface in liquid nitrogen [16] and dry spot distribution in a slowed-down boiling of hydrogen at zero gravity [17] are also observed as critical phenomenon at boiling crisis. More recently, Limiao et al [18] demonstrate the scale-free phenomenon into bubble footprint distributions both in pool boiling and flow boiling of water. Besides experimental observations, theoretical models proposed in Ref.…”

Section: Introductionmentioning

confidence: 99%

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Investigations of near-wall bubble behavior in wire heaters pool boiling

et al. 2021

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The current work establishes a pool boiling CHF prediction method based on percolation theory. For the first time, we observe the experimental bubble footprint?s power-law distributions with almost the same exponent in wire heaters? water pool boiling crisis, which is borne out strongly that boiling crisis is a typical continuum percolative scale-free behavior, and its characteristics seems not to be influenced by the critical heat flux value. The proposed one-dimensional Monte Carlo(MC) method successfully simulates the phase transition of interactive near-wall bubbles. This research enriches and extends applications of continuum percolation theory in boiling phenomena, and could be an instruction for the followed critical heat flux enhancement studies.

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Section: Introductionmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Investigations of near-wall bubble behavior in wire heaters pool boiling

et al. 2021

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“…However, a possible deviations from this theory [84] might be attributed to the fact that the growth time, nucleation frequency and bubble size are not the same for all nucleation sites. Recent work by Zhang et al [196] considered this nearwall stochastic behavior of individual bubbles and proves that the boiling crisis is a percolative and scale-free phenomenon that can be delayed by optimization of the nucleation site density, the product of the nucleation frequency and bubble growth time (tgfb) and the time-dependent bubble footprint radii without additional consideration of macroscale hydrodynamic instabilities or microscale fluid-solid interactions. This (rather radical) idea could completely change the future approach in finding the surface engineering solution(s) to optimally enhance the boiling performance.…”

Section: Decreased Influence Of Surface Wettability On -Cavity-induced Boiling Performance Enhancementmentioning

confidence: 99%

Laser Surface Engineering for Boiling Heat Transfer Applications

Zupančič

Gregorčič

2021

Materials With Extreme Wetting Properties

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Nucleate boiling is inseparably connected with our everyday life. It is not only utilized in simple tasks like cooking, but it is also important for applications on various scales, ranging from enormous nuclear power plants to miniature microelectronics. This widespread integration is the result of its ability for effective heat transfer at low temperature differences between the heated surface and the surrounding fluid. The surface wettability undoubtedly influences the boiling heat transfer, but the observed behaviour cannot be explained without taking into account the surface topography and chemical modifications due to intense boiling processes. This chapter demonstrates how nucleate boiling enhancement can be achieved on surfaces with various wetting properties and specific micro/nano topographical features, fabricated using a straightforward, robust and scalable laser texturing approach. We discuss the basics of nucleate boiling and how it is affected by surface wettability; provide a fundamental background of laser surface engineering and its ability to achieve extreme wetting properties; and finally demonstrate the applicability of the laser-textured surfaces in enhancing and controlling nucleate pool boiling of different fluids. We show how laser surface engineering decreases the wettability effects on the key boiling parameters andin this wayensures more stable heat transfer performance.

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“…instead of tuning the model directly with specific datasets, insights may be sought from the higher resolution micro-scale DNB models based on wall heat partitioning [1,12] or from the freshly presented percolative scale-free model [61] which stochastically described near-wall bubble interactions. Those models rely on different triggering mechanisms from those assumed for macroscale models, and their robustness may still be challenged since they rely strongly on high-fidelity data and require closure tuning.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Improved departure from nucleate boiling prediction in rod bundles using a physics-informed machine learning-aided framework

Zhao

Salko

Shirvan

2021

Nuclear Engineering and Design

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The critical heat flux (CHF) corresponding to the departure from nucleate boiling (DNB) crisis is a regulatory limit for the licensing of pressurized water reactors (PWRs) worldwide. Despite the abundance of predictive tools available to the reactor thermal-hydraulics community, the path for an accurate CHF model remains elusive. This work approaches the prediction of DNB through a physics-informed machine learning-aided framework (PIMLAF) with the objective of achieving superior predictive capabilities for a rod bundle. In view of the limitations in existing macro-scale physics-driven tools, an improved mechanistic model is first proposed, leveraging key concepts in the liquid sublayer dryout and bubble crowding mechanisms. The proposed mechanistic model is able to predict DNB in different heater geometries for a broad range of flow conditions without the need for recalibration. This model is then incorporated as the physics-informed component of the hybrid framework PIMLAF, which takes advantage of established understanding in the field (i.e., domain knowledge [DK]) and uses machine learning (ML) to capture undiscovered information from the mismatch between the actual and DK-predicted output. Two bundle-related case studies using the PWR subchannel and bundle tests (PSBT) database are carried out to illustrate the PIMLAF's improved performance over traditional approaches for both interpolation and extrapolation purposes. In light of the PIMLAF's promising potential to reduce prediction error, reactor vendors are encouraged to leverage their in-house experimental efforts and apply the hybrid framework to potentially achieve margin reductions in the minimum DNB ratio (MDNBR) for the designs of interest.

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Percolative Scale-Free Behavior in the Boiling Crisis

Cited by 53 publications

References 26 publications

Investigations of near-wall bubble behavior in wire heaters pool boiling

Investigations of near-wall bubble behavior in wire heaters pool boiling

Laser Surface Engineering for Boiling Heat Transfer Applications

Improved departure from nucleate boiling prediction in rod bundles using a physics-informed machine learning-aided framework

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