Condensation aerosol formation and growth in a laminar coaxial jet: experimental

Brock, J. R.; Kuhn, Phoebe; Zehavi, D.

doi:10.1016/0021-8502(86)90003-0

Cited by 65 publications

(28 citation statements)

References 7 publications

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“…DBP as condensate has been used in various experimental investigations (Higuchi and O'Konski 1960;Brock et al 1986;Okuyama et al 1987; Okuyama et al (1987), which are given in Table 1. The temperature and vapor mole fraction are set as T min = 300 K, T max = 400 K, c min = 0 ppm, and c max = 500 ppm, which correspond to the boundary conditions for a turbulent jet studied in the experiment (Lesniewski and Friedlander 1998) and the numerical simulations (Garmory and Mastorakos 2008;Zhou and Chan 2011).…”

Section: Numerical Examplesmentioning

confidence: 99%

Analytical Approximation Schemes for Mean Nucleation Rate in Turbulent Flows

Zhou

Chan

2014

Aerosol Science and Technology

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Nucleation rate is a very sensitive function of the temperature and vapor mole fraction. Analytical approximation schemes for the mean nucleation rate in turbulent flows are derived using Laplace's approximation method. The schemes only require the derivative of the nucleation rate function and the probability density function (pdf) of the vapor mole fraction and/or temperature at the point of maximum nucleation rate. Based on the relation between the mole fraction and temperature, i.e., linearly correlated or not, different approximation schemes are developed. Numerical examples are constructed to investigate the accuracy of these approximation. In the examples, the pdfs of mole fraction and/or temperature in various turbulent flows are assumed to come from the beta distribution with five distinct forms. The mean nucleation rate of dibutyl phthalate (DBP) aerosol in these turbulent flows are calculated from the approximation schemes, and compared with exact numerical integration. The relative errors are less than 1% for cases when nucleation rate diminishes at the bounds of temperature fluctuations, and no more than 50% for all studied examples. Furthermore, the approximation schemes are not sensitive to the precise form of the pdfs. Hence, these developed approximation schemes can be used to estimate the mean nucleation rate in a broad range of turbulent flows conveniently.

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Section: Numerical Examplesmentioning

confidence: 99%

Analytical Approximation Schemes for Mean Nucleation Rate in Turbulent Flows

Zhou

Chan

2014

Aerosol Science and Technology

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“…As Cherevko (1982, 1985) show, this type of experimental data can help to determine the enthalpy and/or entropy of critical embryo formation. Brock and colleagues designed and described a laminar coaxial flow system to study single-component (Brock et al, 1986) and multicomponent (Brock et al, 1988) vapor nucleation. These authors compared the experimentally obtained aerosol concentrations with classical nucleation theory predictions and the theoretical results for binary nucleation that Wilemski (1975) describes.…”

Section: Flow Diffusion Chamber Data Re-evaluationmentioning

confidence: 99%

Aerosol Science and Technology: History and Reviews

Ensor¹

2011

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Aerosol Science and Technology: History and Reviews captures an exciting slice of history in the evolution of aerosol science. It presents in-depth biographies of four leading international aerosol researchers and highlights pivotal research institutions in New York, Minnesota, and Austria. One collection of chapters reflects on the legacy of the Pasadena smog experiment, while another presents a fascinating overview of military applications and nuclear aerosols. Finally, prominent researchers offer detailed reviews of aerosol measurement, processes, experiments, and technology that changed the face of aerosol science. This volume is the third in a series and is supported by the American Association for Aerosol Research (AAAR) History Working Group, whose goal is to produce archival books from its symposiums on the history of aerosol science to ensure a lasting record. It is based on papers presented at the Third Aerosol History Symposium on September 8 and 9, 2006, in St. Paul, Minnesota, USA.

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“…Consequently, issues related to the coupling between heat and mass transport and microphysical processes of nucleation and growth are important in determining the properties of the condensing aerosol. [6][7][8] A detailed theory of the formation of aerosols by condensation in spatially inhomogeneous flows exists for laminar configurations, such as laminar flow condensers, 7,8 laminar coaxial jets, 9 and gas-flow diffusion chambers. 10 On the other hand, most of the natural and industrial aerosols formed by mixing occur a) Electronic mail: kun.zhou@kaust.edu.sa Phys.…”

Section: Introductionmentioning

confidence: 99%

Simulation of aerosol nucleation and growth in a turbulent mixing layer

et al. 2014

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A large-scale simulation of aerosol nucleation and growth in a turbulent mixing layer is performed and analyzed with the aim of elucidating the key processes involved. A cold gaseous stream is mixed with a hot stream of vapor, nanometer sized droplets nucleate as the vapor becomes supersaturated, and subsequently grow as more vapor condenses on their surface. All length and time scales of fluid motion and mixing are resolved and the quadrature method of moments is used to describe the dynamics of the condensing, non-inertial droplets. The results show that a region of high nucleation rate is located near the cold, dry stream, while particles undergo intense growth via condensation on the hot, humid vapor side. Supersaturation and residence times are such that number densities are low and neither coagulation nor vapor scavenging due to condensation are significant. The difference in Schmidt numbers of aerosol particles (approximated as infinity) and temperature and vapor (near unity) causes a drift of the aerosol particles in scalar space and contributes to a large scatter in the conditional statistics of aerosol quantities. The spatial distribution of the aerosol reveals high volume fraction on the hot side of the mixing layer. This distribution is due to drift against the mean and is related to turbulent mixing, which displaces particles from the nucleation region (cold side) into the growth region (hot side). Such a mechanism is absent in laminar flows and is a distinct feature of turbulent condensing aerosols.

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Condensation aerosol formation and growth in a laminar coaxial jet: experimental

Cited by 65 publications

References 7 publications

Analytical Approximation Schemes for Mean Nucleation Rate in Turbulent Flows

Analytical Approximation Schemes for Mean Nucleation Rate in Turbulent Flows

Aerosol Science and Technology: History and Reviews

Simulation of aerosol nucleation and growth in a turbulent mixing layer

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