Nuclear Aerosol Codes

Beonio-Brocchieri, F.; Bunz, H.; Schöck, W.; Dunbar, I.H.; Gauvain, J.; Miyahara, Shinya; Himeno, Yoshiaki; Soda, Kunihisa; Yamano, Naoki

doi:10.13182/nt88-a34092

Cited by 8 publications

(1 citation statement)

References 13 publications

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“…But coagulation should be suppressed as far as possible if particles have to be conditioned to a certain size and composition for, e.g., calibration purposes. Implementation of those additional aerosol-physical processes into the computer model is in principle no problem on the basis of the already existing aerosol codes as they are summarized by, e.g., Beoni-Brocchieri et al (1988), Jacobsen and Turco (1995), or other authors, but the computer time and other requirements will go up considerably so that it should be avoided as long as it is not absolutely necessary.…”

Section: Model Descriptionmentioning

confidence: 99%

Numerical Simulation of the Conditioning of Volatile Particles in Laminar Flow Tube Reactors

Bunz¹,

Koyro²,

Scheurig³

2002

Aerosol Science and Technology

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The conditioning of aerosol particles to a prede ned composition and size can be considered as a standard problem in aerosol technology. Quite often aerosols generated by dispersing diluted solutions are conditioned in a subsequent ow reactor. To make the design of such reactors easier, a computer model was developed to simulate the behavior of particles with a volatile component during their passage through the reactor. The model is based on the assumption that part of the surface of the reactor is covered with a layer of the requested activity of the volatile component whose fraction has to be adjusted. The diffusion to or from this surface and the corresponding change of the particle size and composition is calculated for each streamline of the ow on the basis of a laminar ow pro le. At the moment data for the system H 2 O/H 2 SO 4 are implemented in the model, but an extension to other systems can easily be done. Circular as well as annular ow cross sections can be taken into account.

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Section: Model Descriptionmentioning

confidence: 99%