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A solids mixing rate correlation for small scale fluidized beds
Institution:1. Department of Chemical Engineering, Iran University of Science and Technology, Tehran, Iran;2. School of Chemical Engineering, College of Engineering, University of Tehran, Tehran, Iran;1. College of Nuclear Science and Technology, Harbin Engineering University, Harbin, 150001, PR China;2. Department of Nuclear Engineering, Texas A&M University, College Station, TX, 77843, USA;3. Radiation Effects Consulting, Richland, WA, 99354, USA;1. Astrophysique et Spectroscopie, Université de Mons - UMONS, B-7000 Mons, Belgium;2. IPNAS, Université de Liège, B-4000 Liège, Belgium;3. CELIA, Université de Bordeaux 1, F-33400 Talence, France;1. School of Physics, Beijing Institute of Technology, Beijing 100081, China;2. Science and Technology on Electromagnetic Scattering Laboratory, Beijing 100854, China;1. School of Chemical Engineering, Hebei University of Technology, Tianjin 300130, China;2. State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China;3. Engineering Research Center of Seawater Utilization Technology of Ministry of Education, Hebei University of Technology, Tianjin 300130, China;1. Department of Chemical Engineering, Ningbo University of Technology, Ningbo 315016, China;2. The EMMS Group, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China;1. Particle and Process Engineering, University of Kaiserslautern, Gottlieb-Daimler-Straße 47, Kaiserslautern, Germany;2. Institute of Machine Elements, Gears, and Transmissions, University of Kaiserslautern, Gottlieb-Daimler-Straße 42, Kaiserslautern, Germany;3. Materials Testing, Gottlieb-Daimler-Straße 47, Kaiserslautern, Germany;4. IFOS Institute, Trippstadter Straße 120, Kaiserslautern, Germany
Abstract:A new first degree solids mixing rate is proposed to evaluate the mixing of solids in small scale fluidized beds. Particle mixing experiments were carried out in a 2D fluidized bed with a cross-section of 0.02 m × 0.2 m and a height of 1 m. White and black particles with average diameters of 850 and 450 μm were used in our experiments. Image processing was used to measure the concentration of the tracers at different times. The effects of four representative operating parameters (superficial gas velocity, ratio of tracer particles to bed particles, tracer particle position, and particle size) on mixing are discussed with reference to the mixing index. We found that the Lacey index depends on the concentration of the tracers. The position of the tracers affects the initial mixing rate but not the final degree of mixing. However, the new mixing rate equation does not depend on the initial configuration of the particles because this situation is considered to be the initial condition. Using the data obtained in this work and that found in literature, an empirical correlation is proposed to evaluate the mixing rate constant as a function of dimensionless numbers (Archimedes, Reynolds, and Froude) in small scale fluidized beds. This correlation allows for an estimation of the mixing rate under different operating conditions and for the detection of the end point and/or the time of mixing.
Keywords:Fluidized bed  Solids mixing  Tracer  Digital image processing  Mixing index  Mixing rate
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