TY - JOUR
T1 - The influence of cooling rate on condensation of iron, aluminum, and uranium oxide nanoparticles
AU - Koroglu, Batikan
AU - Finko, Mikhail
AU - Saggese, Chiara
AU - Wagnon, Scott
AU - Foster, Samuel
AU - McGuffin, Dana
AU - Lucas, Don
AU - Rose, Tim P.
AU - Crowhurst, Jonathan C.
AU - Weisz, David G.
AU - Radousky, Harry B.
AU - Curreli, Davide
AU - Knight, Kim B.
N1 - Funding Information:
We are very thankful to Jenny Matzel, Joe Morris, and Al Nichols for their insightful discussions on the physical processes of nucleation, condensation, and agglomeration of particles. Funding was provided by Laboratory Directed Research and Development (LDRD) grant 20-SI-006 (K. Knight, PI). D. Curreli and H. Radousky used funding from DTRA Basic Science Grant HDTRA1-16-1-0020 (D. Curreli, PI) to help data interpretation. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
Funding Information:
We are very thankful to Jenny Matzel, Joe Morris, and Al Nichols for their insightful discussions on the physical processes of nucleation, condensation, and agglomeration of particles. Funding was provided by Laboratory Directed Research and Development (LDRD) grant 20-SI-006 (K. Knight, PI). D. Curreli and H. Radousky used funding from DTRA Basic Science Grant HDTRA1-16-1-0020 (D. Curreli, PI) to help data interpretation. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/5
Y1 - 2022/5
N2 - Fundamental observations of particle size distributions are needed to develop models that predict the fate and transport of radioactive materials in the atmosphere following a nuclear incident. The extent of material transport is influenced by the time scales of particle formation processes (e.g., condensation, coagulation). In this study, we investigated the influence of cooling time scales on size distributions of uranium, aluminum, and iron oxide particles that are synthesized separately under identical run conditions inside the controlled environment of an argon plasma flow reactor. Two distinct temperature distributions are imposed along the flow reactor by varying the argon flow rate downstream of the plasma torch. The vaporized reactants of uranium, aluminum, and iron are cooled from about 5000 K to 1000 K before they are collected on silicon wafers for ex situ scanning electron microscope analysis. The microscope images show that the sizes of the largest aluminum and iron oxide particles heavily depend on the cooling time scales, whereas significant size variation with cooling rate is not observed for uranium oxide particles. In addition, the size distribution of aluminum oxide particles exhibits the broadest range among all three metal oxides studied. We performed simulations of particle size distributions using a kinetic model that couples gas phase oxidation chemistry with particle formation processes, including nucleation, condensation, and coagulation. The model results demonstrate the strong sensitivity of particle size distribution to different cooling histories (i.e., temperature vs residence time) along the flow reactor. The kinetic model also helps identify directions for future research to improve the predictions.
AB - Fundamental observations of particle size distributions are needed to develop models that predict the fate and transport of radioactive materials in the atmosphere following a nuclear incident. The extent of material transport is influenced by the time scales of particle formation processes (e.g., condensation, coagulation). In this study, we investigated the influence of cooling time scales on size distributions of uranium, aluminum, and iron oxide particles that are synthesized separately under identical run conditions inside the controlled environment of an argon plasma flow reactor. Two distinct temperature distributions are imposed along the flow reactor by varying the argon flow rate downstream of the plasma torch. The vaporized reactants of uranium, aluminum, and iron are cooled from about 5000 K to 1000 K before they are collected on silicon wafers for ex situ scanning electron microscope analysis. The microscope images show that the sizes of the largest aluminum and iron oxide particles heavily depend on the cooling time scales, whereas significant size variation with cooling rate is not observed for uranium oxide particles. In addition, the size distribution of aluminum oxide particles exhibits the broadest range among all three metal oxides studied. We performed simulations of particle size distributions using a kinetic model that couples gas phase oxidation chemistry with particle formation processes, including nucleation, condensation, and coagulation. The model results demonstrate the strong sensitivity of particle size distribution to different cooling histories (i.e., temperature vs residence time) along the flow reactor. The kinetic model also helps identify directions for future research to improve the predictions.
KW - Nano-particle synthesis
KW - Particle growth kinetics
KW - Plasma flow reactor
KW - Radioactive material transport
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U2 - 10.1016/j.jaerosci.2022.105959
DO - 10.1016/j.jaerosci.2022.105959
M3 - Article
AN - SCOPUS:85124483389
SN - 0021-8502
VL - 162
JO - Journal of Aerosol Science
JF - Journal of Aerosol Science
M1 - 105959
ER -