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Relevant bibliographies by topics / Assembly bowing

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Journal articles

Academic literature on the topic 'Assembly bowing'

Author: Grafiati

Published: 18 May 2024

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Journal articles on the topic "Assembly bowing"

1

Huang, ZunYue, Zhen Luo, SanSan Ao, and YangChuan Cai. "Effect of Laser Welding Parameters on Weld Bowing Distortion of Thin Plates." High Temperature Materials and Processes 37, no. 4 (2018): 299–311. http://dx.doi.org/10.1515/htmp-2016-0153.

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AbstractWeld bowing distortions are detrimental to the assembly process, where laser process parameters such as laser power, welding speed, defocusing distance and gas flow rate play a significant role in determining the weld bowing distortion. Herein, weld bowing distortions in 1-mm-thick AA5052 aluminum were measured by the digital image correlation technique following laser welding. Two mathematical response models were developed to predict the laser weld bowing distortion according to the central composite rotatable design method. The optimized process parameters for minimum bowing distortion were obtained, and the influence of the laser process parameters on the weld bowing distortions was found.

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2

Périn, Y., A. Travleev, and M. Zilly. "COUPLED TRANSIENT ANALYSIS OF A CORE WITH FUEL ASSEMBLY BOWING WITH A HYBRID CTF/DYN3D MODEL." EPJ Web of Conferences 247 (2021): 06036. http://dx.doi.org/10.1051/epjconf/202124706036.

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Fuel assembly bowing is a known phenomenon observed in many PWR reactors all over the world. The phenomenon is relevant to safety as it can lead to increased water gaps between assemblies which results in higher pin peaking factors. The goal of the present study is to assess the effect of assembly bowing not only for stead-state nominal conditions but also during a transient. The selected transient is the loss of one reactor coolant pump as it can be limiting especially regarding the Departure from Nucleate Boiling (DNB) safety criterion. This study focuses on an extreme case where the bowing is simulated in the core hot assembly by keeping the water gap constant over the whole core active length. The resulting cross-sections and form functions obtained from a 2d infinite lattice model are used in the nodal diffusion code DYN3D applying its pin-by-pin reconstruction method. For the transient simulation, DYN3D is coupled with the thermal-hydraulics subchannel code CTF on the SALOME platform. Several modelling options are compared: nominal geometry for neutronics and thermal-hydraulics (TH); mixed: neutronics with increased water gap, TH with nominal geometry; and increased water gap for both neutronics and TH. The results confirm that the increased water gap should be considered in both models in order to reduce the conservatism.

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3

Longo, L., K. Cruz, N. Cadot, E. Sarrouy, G. Ricciardi, and C. Eloy. "Drag coefficient estimation in FSI for PWR fuel assembly bowing." Nuclear Engineering and Design 399 (December 2022): 111995. http://dx.doi.org/10.1016/j.nucengdes.2022.111995.

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4

Barker, D. B., and Sidharth. "Local PWB and Component Bowing of an Assembly Subjected to a Bending Moment." Journal of Electronic Packaging 116, no. 2 (1994): 92–97. http://dx.doi.org/10.1115/1.2905511.

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An analytical model is developed for determining the bowing of a component mounted on a printed wiring board (PWB) that is subjected to a bending moment. The model assumes a uniform elastic attach, between the component and the board. The elastic attach is assumed to transmit axial forces and restrain cross-sections of the component against rotation. The closed form solution to the beam equations directly determines the bowing of the component and the board. The solution is then used for computing the forces and moments, and hence, stresses in the leads that can occur in static or vibrational loading of a PWB/component assembly. The present analysis applies to electronic components with uniformly distributed leads in an array format, such as some PGA components, or to the class of components with parallel rows of leads such as a DIP or a SOIC. To demonstrate the solution and whether or not the rotational stiffness of the component leads needs to be considered, three different types of packages are analyzed.

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5

Yamamoto, Kento, Yasunori Ohoka, Hiroaki Nagano, Akio Yamamoto, and Tomohiro Endo. "DEVELOPMENT OF ASSEMBLY BOWING MODEL FOR PIN-BY-PIN CORE CALCULATIONS." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2019.27 (2019): 1022. http://dx.doi.org/10.1299/jsmeicone.2019.27.1022.

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6

Wang, Boxue, Mei Huang, Weiyang Liu, Yaodi Li, and Yanting Cheng. "Thermal-hydraulic CFD simulation of PWR 5 × 5 bowing fuel assembly." Annals of Nuclear Energy 192 (November 2023): 110000. http://dx.doi.org/10.1016/j.anucene.2023.110000.

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7

DODA, Norihiro, Tomoyuki UWABA, Kazuya OHGAMA, et al. "Verification of fuel assembly bowing analysis model for core deformation reactivity evaluation." Proceedings of Conference of Kanto Branch 2023.29 (2023): 17H21. http://dx.doi.org/10.1299/jsmekanto.2023.29.17h21.

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8

Wang, Yongping, Jianda Chen, Linfang Wei, Huabei Yin, Youqi Zheng, and Xianan Du. "A method for calculating the assembly bowing reactivity coefficients in sodium fast reactor." Annals of Nuclear Energy 155 (June 2021): 108176. http://dx.doi.org/10.1016/j.anucene.2021.108176.

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9

Berger, Jonas, Alexander Mühle, and Kai-Martin Haendel. "Empiric Calculation of the Power Increase Caused by Fuel Assembly Bowing in Siemens/KWU-PWR." Nuclear Science and Engineering 194, no. 6 (2020): 415–21. http://dx.doi.org/10.1080/00295639.2019.1705656.

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10

Wan, Chenghui, Lin Guo, and Jiahe Bai. "Method research and effect analysis of fuel-assembly bowing on neutron-physics simulations of HPR1000." Annals of Nuclear Energy 182 (March 2023): 109616. http://dx.doi.org/10.1016/j.anucene.2022.109616.

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