Development and validation of an agglomeration model for CFD simulations of aerosol dispersion in the frame of Fukushima fuel debris retrieval-Reference-Cited by-同舟云学术

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Development and validation of an agglomeration model for CFD simulations of aerosol dispersion in the frame of Fukushima fuel debris retrieval

Published:2021-01-18 Issue:6 Volume:58 Page:690-703
ISSN:0022-3131
Container-title:Journal of Nuclear Science and Technology
language:en
Short-container-title:Journal of Nuclear Science and Technology

Author:

Gélain Thomas¹,Porcheron Emmanuel¹,Chagnot Christophe²,Doyen Ioana²,Journeau Christophe³^ORCID,Roulet Damien⁴

Affiliation:

1. Institut De Radioprotection Et De Sûreté Nucléaire (IRSN), PSN-RES, SCA, Gif-sur-Yvette, France

2. DEN/SEMT, CEA, Université Paris-Saclay, Gif-Sur-Yvette, France

3. CEA, DEN, Cadarache, SMTA/LEAG, St-Paul-lez-Durance, France

4. ONET Technologies, Engineering Business Unit, Pierrelatte, France

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00223131.2020.1862717

Reference25 articles.

1. Measurement of secondary emissions during laser cutting of steel equipments

2. Characterization of chemical composition and particle size distribution of aerosols released during laser cutting of fuel debris simulants

3. CFD Simulations of Aerosol Dispersion and Agglomeration During the Laser Cutting of Fukushima Fuel Debris Simulants

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigation of aerosol generation through laser cleaning of various surfaces and optimization of mist & spray scavenging;Journal of Aerosol Science;2024-03

2. Degradation of nuclear fuel debris analog by siderophore-releasing microorganisms;Journal of Nuclear Science and Technology;2023-07-25

3. Experimental cutting of SNF samples by mechanical and thermal methods to examine the efficiency of different air filtration techniques of generated dust;Annals of Nuclear Energy;2022-08

4. An innovative method for soot deposit quantification using a CO2 sensor: Application to fire studies in research facilities;Journal of Aerosol Science;2022-08

5. An Innovative in Situ Method for Soot Deposit Quantification During a Real Fire;SSRN Electronic Journal;2021

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