Artificial neural networks to model kinetics and energy efficiency in fixed, fluidized and vibro-fluidized bed dryers towards process optimization

2020 ◽  
Vol 156 ◽  
pp. 108089
Author(s):  
Hugo Perazzini ◽  
Maisa T. Bitti Perazzini ◽  
Lucas Meili ◽  
Fábio B. Freire ◽  
José T. Freire
Keyword(s):  
Neural Networks ◽  
Energy Efficiency ◽  
Artificial Neural Networks ◽  
Fluidized Bed ◽  
Process Optimization ◽  
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%.

Lipase-catalyzed synthesis of dilauryl azelate ester: process optimization by artificial neural networks and reusability study

RSC Advances ◽  
2015 ◽  
Vol 5 (115) ◽  
pp. 94909-94918 ◽  
Author(s):  
Nurshafira Khairudin ◽  
Mahiran Basri ◽  
Hamid Reza Fard Masoumi ◽  
Wan Sarah Samiun ◽  
Shazwani Samson
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Optimization ◽  
Artificial Neural

An application of artificial neural networks (ANNs) to predict the performance of a lipase-catalyzed synthesis for esterification of dilauryl azelate ester was carried out.

Vacuum drying of sweet cherry: Artificial neural networks approach in process optimization

2020 ◽  
Vol 44 (11) ◽  
Author(s):  
Anita Vakula ◽  
Branimir Pavlić ◽  
Lato Pezo ◽  
Aleksandra Tepić Horecki ◽  
Tatjana Daničić ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Optimization ◽  
Sweet Cherry ◽  
Vacuum Drying ◽  
Artificial Neural
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