Heat transfer coefficient modeling for downward saturated boiling flows in vertical pipes

和田 裕貴; 柴本 泰照; 日引 俊詞*

International Journal of Heat and Mass Transfer, 249, p.127219_1 - 127219_16, 2025/10

https://doi.org/10.1016/j.ijheatmasstransfer.2025.127219

Two saturated boiling heat transfer correlations for downward flows in vertical circular pipes depending on wall superheat or wall heat flux as input parameters were developed based on a heat transfer experimental database. Owing to the absence of heat transfer correlations specifically developed for downward flows, existing heat transfer correlations for different flow directions were evaluated to determine their applicability to predicting the downward flow heat transfer coefficient. The results revealed that even the most accurate correlation showed a mean absolute percentage error (MAPE) of 66.5%, highlighting the need for improving predictive performance. In response, the downward flow heat transfer correlation was modeled by integrating a nucleate boiling heat transfer term and a forced convection heat transfer term. The Dong-Hibiki correlation, a two-component, two-phase heat transfer correlation for downward flows, was adopted for the forced convection heat transfer term. The Forster-Zuber correlation, developed as a wall superheat function, and the Cooper correlation, developed as a wall heat flux function, were used for the nucleate boiling term to develop the heat transfer correlations where either wall superheat or wall heat flux is known. Notably, the Dong-Hibiki correlation has been validated over a wide range of experimental conditions. A correction factor was applied to the nucleate boiling term to address errors caused by applying Foster-Zuber and Cooper correlations to downward flows. The two developed correlations achieved an MAPE value of approximately 20%, representing an improvement of roughly 40% over existing correlations of heat transfer coefficients.

Enhanced work hardening in ferrite and austenite of duplex stainless steel at 200 K; neutron diffraction study

山下 享介*; 古賀 紀光*; Mao, W.*; Gong, W.; 川崎 卓郎; Harjo, S.; 藤井 英俊*; 梅澤 修*

Materials Science and Engineering A, 941, p.148602_1 - 148602_11, 2025/09

https://doi.org/10.1016/j.msea.2025.148602

Ferrite-austenite duplex stainless steels offer excellent strength and ductility, making them suitable for extreme environments. In this study, neutron diffraction during tensile testing at 293 K and 200 K was used to investigate stress partitioning and phase-specific deformation. Phase stress was calculated using a texture-compensated method. At both temperatures, ferrite showed higher phase stress than austenite, acting as the harder phase. At 200 K, both phases exhibited increased strength and work hardening. Austenite showed significant stacking fault formation alongside dislocation migration, while ferrite retained its dislocation-based deformation mode, becoming more effective. Stress contributions from both phases were comparable. No martensitic transformation occurred. Strengthening and enhanced work hardening in both phases led to high strength at 200 K, with ductility similar to that at 293 K.

研究用原子炉を利用したRI製造; JRR-3における取り組み

木名瀬 政美

Radioisotopes, 74(2), p.233 - 238, 2025/07

https://doi.org/10.3769/radioisotopes.740212

放射性同位元素(RI)は、その多くが研究用原子炉や加速器で製造され、工業分野や医療分野等への活用により国民生活の向上に大きく貢献している。今後も研究用原子炉を用いたRI製造・頒布は重要とされており、「もんじゅ」サイトに建設計画中の新試験研究炉でもRI製造が期待されている。本稿では、研究用原子炉JRR-3を利用したRI製造の取り組みを紹介する。

燃料デブリ取り出し時における炉内状況把握のための遠隔技術に関する研究人材育成(委託研究); 令和5年度英知を結集した原子力科学技術・人材育成推進事業

廃炉環境国際共同研究センター; 東京大学*

JAEA-Review 2025-001, 94 Pages, 2025/06

JAEA-Review-2025-001.pdf:6.21MB

日本原子力研究開発機構(JAEA)廃炉環境国際共同研究センター(CLADS)では、令和5年度英知を結集した原子力科学技術・人材育成推進事業(以下、「本事業」という。)を実施している。本事業は、東京電力ホールディングス株式会社福島第一原子力発電所の廃炉等をはじめとした原子力分野の課題解決に貢献するため、国内外の英知を結集し、様々な分野の知見や経験を、従前の機関や分野の壁を越えて緊密に融合・連携させた基礎的・基盤的研究及び人材育成を推進することを目的としている。平成30年度の新規採択課題から実施主体を文部科学省からJAEAに移行することで、JAEAとアカデミアとの連携を強化し、廃炉に資する中長期的な研究開発・人材育成をより安定的かつ継続的に実施する体制を構築した。本研究は、令和元年度に採択された研究課題のうち、「燃料デブリ取り出し時における炉内状況把握のための遠隔技術に関する研究人材育成」の令和元年度から令和5年度分の研究成果について取りまとめたものである。本研究は、燃料デブリ取り出し時における炉内状況把握のためのモニタリングプラットフォームの構築及びプラットフォーム上を移動するセンサによる計測・可視化に関する研究開発を行う。また、このような研究課題に参画することによる研究教育、講義等の座学、施設見学の3つの柱で研究人材を育成することを目的とする。令和5年度は、各システムの検証とともに、模擬環境においてモニタリングプラットフォーム上の移動カメラから取得された画像を用いて立体復元モデルを生成し、可視化対象に対して最適視点からの映像提示が可能であることを、各研究項目協力のもと統合実験として実施した。

Estimation of the beam trip frequency of a proton linear accelerator for an accelerator-driven nuclear transmutation system and comparison with the allowable beam trip frequency

武井 早憲

Journal of Nuclear Science and Technology, 45 Pages, 2025/06

https://doi.org/10.1080/00223131.2025.2523023

日本原子力研究開発機構では、マイナーアクチニドを効率的に核変換する加速器駆動核変換システム(ADS)の研究開発を行っている。このシステムは、未臨界炉と大強度超伝導陽子線形加速器(ADS用陽子加速器)の組み合わせである。ADS用陽子加速器の開発を困難にしている要因の一つは、熱サイクル疲労を誘因するビームトリップ事象であり、この事象によって未臨界炉の機器が損傷するからである。ADS用陽子加速器は大強度陽子加速器の一つであるJ-PARCリニアックと比べて電流比で32倍の差がある。従って、開発段階に応じてADS用陽子加速器のビームトリップ頻度と許容ビームトリップ頻度を比較することが必要になる。今回、J-PARCリニアックの運転データに基づく信頼度関数を使ったモンテカルロ法のプログラムを作成し、ADS用陽子加速器のビームトリップ頻度を推測した。モンテカルロ法のプログラムにより、従来の解析手法では得られなかったビームトリップ事象の時間分布が得られた。その結果、許容ビームトリップ頻度を満足するには、ビームトリップ時間が5分以上のビームトリップ頻度を現状の27%に低減しなければならないことがわかった。

Experiments on central reaction rate ratios and fission distributions in the FCA-XXII-1 assembly simulating highly enriched MOX fueled tight lattice LWR cores

福島 昌宏; 安藤 真樹; 長家 康展

Nuclear Science and Engineering, 199(6), p.1029 - 1043, 2025/06

https://doi.org/10.1080/00295639.2024.2405668

A series of simulated experiments were conducted at the FCA to simulate a light water reactor core with a tight lattice cell containing highly enriched MOX fuel with a fissile Pu ratio 15%. The prediction accuracy of the neutron computation codes and nuclear data libraries in a wide range of neutron spectra was evaluated by constructing three experimental configurations of the FCA-XXII-1 assembly with different void fractions (45%, 65%, and 95%) of the moderator material. In a previous paper, we reported the criticality and reactivity worths measured in these experiments. This paper provides the experimental results for the central reaction rate ratios and fission distributions as follows. The fission rate ratios of U and Pu relative to U were measured at the core centers using three calibrated fission chambers, and the U capture reaction rate ratio relative to U fission was measured using depleted uranium foils. Reaction rate distributions were also obtained by traversing four micro fission chambers of HEU, NU, Pu, and Np through each core region in the radial and axial directions. The experimental analyses were performed using detailed models of the Monte Carlo code MVP3 with JENDL-4.0. Most calculation results agreed well with the experiments, whereas those for the fission rate ratio of Pu to U were underestimated by up to 6% with the softening neutron spectrum.

Numerical analysis of a potential Reactor Pressure Vessel (RPV) boundary failure mechanism in Fukushima Daiichi Nuclear Power Station Unit-2

Li, X.; 山路 哲史*; 佐藤 一憲*; 山下 拓哉

Annals of Nuclear Energy, 214, p.111217_1 - 111217_13, 2025/05

https://doi.org/10.1016/j.anucene.2025.111217

The decommissioning of Fukushima Daiichi NPP Unit-2 requires understanding of reactor damage and fuel debris distribution for effective debris retrieval. This study numerically analyzes potential Reactor Pressure Vessel (RPV) boundary failure due to eutectic melting of Control Rod Drive (CRD) housings during reheating after debris bed dryout. The Moving Particle Semi-implicit (MPS) method, with an enthalpy-based temperature algorithm and Boussinesq approximation, is applied to simulate melt/solid interactions in a 2-D model of the lower plenum. The CRD housing melting temperature is set at 1523 K based on a quasi-binary phase diagram of 304 Stainless Steel (SS) and Zirconium (Zr) and ELSA experiments. Results suggest local RPV failure at CRD housings, leading to melt release and refreezing. The estimated failure occurs 8-12 hours post-dryout (ca. 12:00-16:00 on 3/15/2011), providing insights into melt progression and boundary breach scenarios in Unit-2.

Heat transfer characteristics of downward saturated boiling flow in vertical round pipes

和田 裕貴; 柴本 泰照; 日引 俊*

International Journal of Heat and Mass Transfer, 239, p.126598_1 - 126598_18, 2025/04

https://doi.org/10.1016/j.ijheatmasstransfer.2024.126598

This study reviewed the saturated boiling heat transfer research in downward flows. A database of downward flow heat transfer experiments was created using experimental studies. Saturated boiling heat transfer correlations in internal flows were collected, and no downward flow-specific heat transfer correlations were identified. The applicability of heat transfer correlations to downward flow heat transfer experiments was evaluated, and no correlation could predict the heat transfer coefficients accurately for all experimental databases. However, correlations that could predict heat transfer coefficients reasonably well were determined for each channel size. Cooper's correlation [Int. Chem. Eng. Symp. Ser. 86 (1984) 785-792] had a mean absolute percentage error (MAPE) of 11.7% for mini-channels and Kim and Mudawar's correlation [Int. J. Heat Mass Transf. 64 (2013) 1239-1256] had an MAPE of 66.5% for macro-channels. Furthermore, because the advection direction between the liquid-phase and the generated bubbles differed depending on the liquid-phase velocity in downward flows, we evaluated the prediction performance of the heat transfer coefficient for the liquid-phase velocity. For some experimental data, the prediction performance of the existing correlation for downward flow heat transfer worsened as the advection velocity of the bubbles decreased. This result is one of the issues to be addressed in the future development of heat transfer correlations.

In situ neutron diffraction study of strain evolution and load partitioning during elevated temperature tensile test in HIP-Treated electron beam powder bed fusion manufactured Ti-6Al-4V

Pandian, K.*; Neikter, M.*; Ekh, M.*; Harjo, S.; 川崎 卓郎; Woracek, R.*; Hansson, T.*; Pederson, R.*

JOM, 77(4), p.1803 - 1815, 2025/04

https://doi.org/10.1007/s11837-025-07128-1

To produce dense Ti-6Al-4V components, electron beam powder bed fusion is typically followed by post-heat treatment like hot isostatic pressing (HIP). Standard HIP at 920C/100 MPa for 2 h coarsens the microstructure and reduces yield strength, while low-temp HIP at 800C/200 MPa for 2 h limits coarsening and retains strength comparable to as-built material. A coarser microstructure negatively affects tensile properties. Tensile tests at various temperatures suggest that thermally activated slip systems may influence elongation, requiring further study. In situ neutron time-of-flight diffraction during tensile loading enables analysis of strain evolution and slip plane activity. A two-phase elastic-plastic self-consistent model was used to compare with experiments. Results show basal slip {0002} activated at 20C, pyramidal slip {10-11} at 350C, and phase carrying higher stress than in the plastic regime.

クリープ破断時間および高温引張強度予測モデルの連合学習

櫻井 惇也*; 鳥形 啓輔*; 松永 学*; 高梨 直人*; 日比野 真也*; 木津 健一*; 森田 聡*; 井元 雅弘*; 下畠 伸朗*; 豊田 晃大; et al.

鉄と鋼, 111(5), p.246 - 262, 2025/04

https://doi.org/10.2355/tetsutohagane.TETSU-2024-124

Creep testing is time-consuming and costly, leading institutions to limit the number of tests conducted to the minimum necessary for their specific objectives. By pooling data from each institution, it is anticipated that predictive models can be developed for a wide range of materials, including welded joints and degraded materials exposed to service conditions. However, the data obtained by each institution is often highly confidential, making it challenging to share with others. Federated learning, a type of privacy-preserving computation technology, allows for learning while keeping data confidential. Utilizing this approach, it is possible to develop creep life prediction models by leveraging data from various institutions. In this paper, we constructed global deep neural network models for predicting creep rupture life of heat-resistant ferritic steels in collaboration with eight institutions using the federated learning system we developed for this purpose. Each institution built a local model using only its own data for comparison. While these local models demonstrated good predictive accuracy for their respective datasets, their predictive performance declined when applied to data from other institutions. In contrast, the global model constructed using federated learning showed reasonably good predictive performance across all institutions. The distance between each institution's data was defined in the space of explanatory variables, with the NIMS data, which had the largest dataset, serving as the reference point. The global model maintained high predictive accuracy regardless of the distance from the NIMS data, whereas the predictive accuracy of the NIMS local model significantly decreased as the distance increased.