Title page for ETD etd-05022011-091831


Type of Document Master's Thesis
Author England, Jonas Andrew
URN etd-05022011-091831
Title Numerical Modeling and Prediction of Bubbling Fluidized Beds
Degree Master of Science
Department Mechanical Engineering
Advisory Committee
Advisor Name Title
Battaglia, Francine Committee Chair
Diller, Thomas E. Committee Member
Pitchumani, Ranga Committee Member
Keywords
  • Fluidized beds
  • mixtures
  • pressure drop
  • minimum fluidization velocity
Date of Defense 2011-04-27
Availability unrestricted
Abstract
Numerical modeling and prediction techniques are used to determine pressure drop, minimum fluidization velocity and segregation for bubbling fluidized beds. The computational fluid dynamics (CFD) code Multiphase Flow with Interphase eXchange (MFIX) is used to study a two-stage reactor geometry with a binary mixture. MFIX is demonstrated to accurately predict pressure drop versus inlet gas velocity for binary mixtures. A new method is developed to predict the pressure drop versus inlet gas velocity and minimum fluidization velocity for multi-component fluidized beds. The mass accounting in the stationary system (MASS) method accounts for the changing bed composition during the fluidization process by using a novel definition for the mass fractions of the bed not yet fluidized. Published experimental data for pressure drop from single-, binary- and ternary-component fluidized bed systems are compared to MFIX simulations and the MASS method, with good agreement between all three approaches. Minimum fluidization velocities predicted using correlations in the literature were compared with the experimental data, MFIX, and the MASS method. The predicted minimum fluidization velocity from the MASS method provided very good results with an average relative error of ±4%. The MASS method is shown to accurately predict when complex multi-component systems of granular material will fluidize. The MASS method and MFIX are also used to explore the occurrence and extent of segregation in multi-component systems. The MASS method and MFIX are both shown to accurately predict the occurrence and extent of segregation in multi-component systems.
Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  England_JA_T_2011._3.pdf 2.11 Mb 00:09:44 00:05:00 00:04:23 00:02:11 00:00:11

Browse All Available ETDs by ( Author | Department )

dla home
etds imagebase journals news ereserve special collections
virgnia tech home contact dla university libraries

If you have questions or technical problems, please Contact DLA.