Population balance modelling and multi-stage optimal control of a pulsed spray fluidized bed granulation

2014 ◽  
Vol 468 (1-2) ◽  
pp. 223-233 ◽  
Author(s):  
Huolong Liu ◽  
Mingzhong Li
Keyword(s):  
Optimal Control ◽  
Fluidized Bed ◽  
Population Balance ◽  
Multi Stage

Gas mixing in a multi-stage conversion fluidized bed (MFB) with secondary air injection. Part I: an experimental study

RSC Advances ◽  
2016 ◽  
Vol 6 (43) ◽  
pp. 36642-36655 ◽  
Author(s):  
Rong Zhang ◽  
Zhenhua Hao ◽  
Zhiyu Wang ◽  
Xiaodong Huo ◽  
Junguo Li ◽  
...  
Keyword(s):  
Experimental Study ◽  
Fluidized Bed ◽  
Air Injection ◽  
Gas Mixing ◽  
Cold Model ◽  
Stage Conversion ◽  
Multi Stage ◽  
Secondary Air Injection ◽  
Secondary Air

This paper investigated the distribution of secondary air after injection into a multi-stage conversion fluidized bed (MFB) cold model.

Optimal control of univariate and multivariate population balance systems involving external fines removal

2017 ◽  
Vol 168 ◽  
pp. 101-123 ◽  
Author(s):  
S. Hofmann ◽  
N. Bajcinca ◽  
J. Raisch ◽  
K. Sundmacher
Keyword(s):  
Optimal Control ◽  
Population Balance

Analysis of the start-up process in continuous fluidized bed spray granulation by population balance modelling

2002 ◽  
Vol 57 (20) ◽  
pp. 4369-4390 ◽  
Author(s):  
Stefan Heinrich ◽  
Mirko Peglow ◽  
Matthias Ihlow ◽  
Markus Henneberg ◽  
Lothar Mörl
Keyword(s):  
Fluidized Bed ◽  
Population Balance ◽  
Start Up ◽  
Spray Granulation

Vehicular Optimal Control

2018 ◽  
pp. 391-426
Author(s):  
David J. N. Limebeer ◽  
Matteo Massaro
Keyword(s):  
Optimal Control ◽  
Minimization Problem ◽  
Optimization Problems ◽  
Structural Features ◽  
Minimum Time ◽  
Time Of Arrival ◽  
Hybrid Powertrain ◽  
Multi Stage ◽  
Time Minimization ◽  
Minimum Time Problems

Chapter 9 deals with the solution of minimum-time and minimum-fuel vehicular optimal control problems. These problems are posed as fuel usage optimization problems under a time-of-arrival constraint, or minimum-time problems under a fuel usage constraint. The first example considers three variants of a simple fuel usage minimization problem under a time-of-arrival constraint. The first variant is worked out theoretically, and serves to highlight several of the structural features of these problems; the other two more complicated variants are solved numerically.The second example is also a multi-stage fuel usage minimization problem under a timeof- arrival constraint.More complicated track and vehicle models are then employed; the problem is solved numerically. The third problem is a lap time minimization problem taken from Formula One and features a thermoelectric hybrid powertrain. The fourth and final problem is a minimum-time closed-circuit racing problem featuring a racing motorcycle and rider.

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