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Computing the aerodynamic drag of fractal aggregates in free-molecular and transition regimes
Author(s) -
Olga P. Stoyanovskaya,
Anastasiya Suslenkova,
Timur Kusnatdinov
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1640/1/012010
Subject(s) - drag , fractal dimension , fractal , physics , radius , aggregate (composite) , spheres , function (biology) , drag coefficient , stokes number , statistical physics , mechanics , mathematics , mathematical analysis , materials science , nanotechnology , reynolds number , turbulence , computer security , astronomy , evolutionary biology , computer science , biology
For fine particles moving in the gas different regimes of aerodynamic drag are distinguished depending on their sizes and dust to gas relative velocities. In the Epstein or free-molecular regime, the drag force depends on the projected area or cross-section of the body, and in the Stokes or transition regime, on its linear size. Finding the linear size and the projected area for nonspherical particles is a non-trivial task. To describe the mobility of some type of nonspherical particles - fluffy aggregates, considered as a set of spheres - monomers, the value D f called fractal dimension is often used. For such aggregates with fixed fractal dimension D 0 , several authors suggested the approximations of the linear size (called Smoluchowski radius R s ) and projected area PA as a function of N - the number of monomers in the aggregate. These authors validated their approximations on experimental data. On the other hand, new direct numerical simulation (DNS) data on mobility of fractal aggregates have been obtained recently. In the paper we constructed new functions PA(D f ,N) and R s (D f , N) interpolating available from the literature approximations of PA(D f = D 0 ,N) and R s (D f = D 0 ,N) and minimizing the deviation from recent DNS data. These functions are designed for global simulations of protoplanetary discs dynamics and planet formation, but can be used in different applications.

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