Modeling of a continuous fluidized bed dryer using artificial neural networks

2005 ◽  
Vol 32 (3-4) ◽  
pp. 539-547 ◽  
Author(s):  
S. Satish ◽  
Y. Pydi Setty
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fluidized Bed ◽  
Fluidized Bed Dryer ◽  
Artificial Neural

Prediction of Energy and Exergy of Carrot Cubes in a Fluidized Bed Dryer by Artificial Neural Networks

2011 ◽  
Vol 29 (3) ◽  
pp. 295-307 ◽  
Author(s):  
Tayyeb Nazghelichi ◽  
Mortaza Aghbashlo ◽  
Mohammad Hossein Kianmehr ◽  
Mahmoud Omid
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fluidized Bed ◽  
Fluidized Bed Dryer ◽  
Energy And Exergy ◽  
Artificial Neural

Experimental Study and Artificial Neural Networks Simulation of Activated Carbon Synthesis in Fluidized Bed Reactor

2009 ◽  
Vol 7 (1) ◽  
Author(s):  
Hassan Hashemipour ◽  
Saeid Baroutian ◽  
Esmail Jamshidi ◽  
Alireza Abazari
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fluidized Bed ◽  
Fluidized Bed Reactor ◽  
Operating Conditions ◽  
Synthesis Process ◽  
Back Propagation Algorithm ◽  
Feed Forward Neural Network ◽  
Activation Temperature ◽  
Artificial Neural

In this work, thermal activation of pistachio shell was studied in a fluidized bed reactor. The effects of operating conditions on the pore development within the char particles were studied experimentally. The results showed that activation temperature, residence time, oxidizing gas type and concentration have main effects on the Iodine adsorption capacity of the product. The highest surface area was obtained using steam activation at temperature 850°C for 45 min. The synthesis process was also simulated using artificial neural networks (ANNs) to estimate the Iodine number of the product. The present work applied a Tan-sigmoid transfer function in three layers in the feed forward neural network with back propagation algorithm. The results of the network are in good agreement with the experimental data with a maximum relative deviation of 0.015%.

Artificial neural networks for analysis of process states in fluidized bed combustion

Energy ◽  
2011 ◽  
Vol 36 (1) ◽  
pp. 339-347 ◽  
Author(s):  
M. Liukkonen ◽  
M. Heikkinen ◽  
T. Hiltunen ◽  
E. Hälikkä ◽  
R. Kuivalainen ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fluidized Bed ◽  
Fluidized Bed Combustion ◽  
Artificial Neural
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