J
J.A.M. Kuipers
Researcher at Eindhoven University of Technology
Publications - 155
Citations - 3073
J.A.M. Kuipers is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Fluidized bed & Bubble. The author has an hindex of 26, co-authored 144 publications receiving 2161 citations.
Papers
More filters
Journal ArticleDOI
Packed Bed Reactor Technology for Chemical-Looping Combustion
TL;DR: In this article, a new reactor concept for chemical-looping combustion (CLC) is proposed, based on dynamically operated packed bed reactors, and it is demonstrated that a constant, very high temperature air stream can be generated efficiently using packed bed CLC reactors to drive a downstream gas turbine.
Journal ArticleDOI
On the drag force of bubbles in bubble swarms at intermediate and high Reynolds numbers
I Ivo Roghair,YM Yuk Man Lau,NG Niels Deen,H.M. Slagter,M.W. Baltussen,M. van Sint Annaland,J.A.M. Kuipers +6 more
TL;DR: Lau et al. as mentioned in this paper used algebraic closure relations to simulate large-scale gas/liquid contact apparatusses, such as bubble columns, which is essential for the optimization and further development of many bio-chemical and metallurgical processes.
Journal ArticleDOI
Numerical and experimental study on multiple-spout fluidized beds
Maureen S. van Buijtenen,Willem-Jan van Dijk,NG Niels Deen,J.A.M. Kuipers,Thomas Leadbeater,David Parker +5 more
TL;DR: In this article, the effect of multiple spouts on the bed dynamics in a pseudo-2D triple-spout fluidized bed, employing the discrete particle model (DPM) and non-intrusive measurement techniques such as particle image velocimetry (PIV) and positron emission particle tracking (PEPT).
Journal ArticleDOI
Drag, lift and torque correlations for non-spherical particles from Stokes limit to high Reynolds numbers
TL;DR: In this article, the drag, lift and torque coefficients of non-spherical particles were determined using the lattice Boltzmann method with multi-relaxation time in the Reynolds number range 0.1 to 2.1 for different incident angles ϕ.
Journal ArticleDOI
Review and implementation of CFD-DEM applied to chemical process systems
Shahab Golshan,Shahab Golshan,Rahmat Sotudeh-Gharebagh,Reza Zarghami,Navid Mostoufi,Bruno Blais,J.A.M. Kuipers +6 more
TL;DR: In this paper, the authors provide an introduction to coupled computational fluid dynamics (CFD-DEM) modeling in process engineering systems, including heat and mass transfer and long range forces, and review the major researches in simulation of two-phase processes such as drying, coating, granulation, crystallization, chemical reactions (including combustion, gasification and pyrolysis) and mixing.