J
Jianmin Ding
Researcher at MSC Software
Publications - 15
Citations - 3063
Jianmin Ding is an academic researcher from MSC Software. The author has contributed to research in topics: Fluidization & Fluidized bed. The author has an hindex of 13, co-authored 15 publications receiving 2751 citations. Previous affiliations of Jianmin Ding include Agere Systems & Illinois Institute of Technology.
Papers
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Journal ArticleDOI
A bubbling fluidization model using kinetic theory of granular flow
Jianmin Ding,Dimitri Gidaspow +1 more
TL;DR: In this paper, a predictive two-phase flow model was derived starting with the Boltzman equation for velocity distribution of particles, which is a generalization of the Navier-Stokes equations of the type proposed by R. Jackson, except that the solids viscosities and stresses are computed by simultaneously solving a fluctuating energy equation for the particulate phase.
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Synthesis, surface modification and photocatalytic property of ZnO nanoparticles
TL;DR: In this article, polystyrene was grafted onto the surface of ZnO nanoparticles to improve the dispersion of the particles and to reduce their photocatalytic activity.
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Effects of ZnO nanoparticles on the mechanical and antibacterial properties of polyurethane coatings
TL;DR: In this paper, polyurethane-based coatings reinforced by ZnO nanoparticles (about 27 nm) were prepared via solution blending, and a simple method of solution casting and evaporation was used.
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Computer simulations of gas–solid flow in spouted beds using kinetic–frictional stress model of granular flow
TL;DR: In this article, a gas-solid two-fluid flow model is presented, which treats the kinetic and frictional stresses of particles additively, and the effects of inclined angle of conical base on the distributions of particle velocities and concentrations in the spout, annulus and fountain zones were numerical studied.
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Investigation of mixing/segregation of mixture particles in gas-solid fluidized beds
TL;DR: In this article, a multi-fluid computational fluid dynamics model based on kinetic theory of granular flow and Eulerian-Eulerian approach for binary mixture of particles was presented.