Author
A. Haider
Bio: A. Haider is an academic researcher from Oregon State University. The author has contributed to research in topics: Terminal velocity & Drag coefficient. The author has an hindex of 1, co-authored 1 publications receiving 1382 citations.
Topics: Terminal velocity, Drag coefficient
Papers
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TL;DR: In this paper, explicit equations for the drag coefficient and for the terminal velocity of falling spherical and nonspherical particles are developed for the CD and ut. The goodness of fit of these equations to the reported experimental data is evaluated and compared with that of other recently proposed equations.
1,632 citations
Cited by
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TL;DR: In this paper, an updated survey of published mathematical reactor models for biomass and waste gasification in bubbling and circulating fluidized bed (FB) gasifiers is presented, where semi-empirical correlations are used to simplify the fluid-dynamics.
792 citations
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TL;DR: In this article, the Stokes' shape factor (K1) and the Newton's shape factor or scruple (K2) were modeled as functions of the geometric shape descriptors' sphericity and the projected area in the direction of motion.
580 citations
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TL;DR: Holzer and Sommerfeld as discussed by the authors proposed a simple correlation formula for the standard drag coefficient (i.e., a single stationary particle in a uniform flow) of arbitrary shaped particles, which can be easily used in the frame of Lagrangian computations where also the particle orientation along the trajectory is computed.
513 citations
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TL;DR: Of the scattering techniques available, light scattering provides the greatest potential for use as a tool for structure characterisation even though interpretation of the scattered intensity pattern is complicated by the strong interaction of light and matter.
423 citations
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TL;DR: A review of the recent efforts in developing discrete element method (DEM) approaches to model non-spherical particulate systems (NSPS) and strategies of coupling such a nonspherical DEM model with computational fluid dynamics (CFD) for particle-fluid flows is presented in this paper.
414 citations