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Drying Technology
An International Journal
Volume 14, 1996 - Issue 7-8
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TECHNICAL NOTE

Modelling of A Fluidized Bed Drier Using Artificial Neural Network

A Balasubramanian Department of Chemical Engineering, Indian Institute of Technology, Madras, 600 036, India
,
R.C. panda Department of Chemical Engineering, Indian Institute of Technology, Madras, 600 036, India
&
V.S. Ramachandra Rao Chemical Engineering Area, Central Leather Research Institute, Adyar, 600 020, Madras
Pages 1881-1889 | Published online: 07 May 2007

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Mortaza Aghbashlo, Soleiman Hosseinpour & Arun S. Mujumdar. (2015) Application of Artificial Neural Networks (ANNs) in Drying Technology: A Comprehensive Review. Drying Technology 33:12, pages 1397-1462.
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Bruno Guzzo da Silva, Ana Maria Frattini Fileti & Osvaldir Pereira Taranto. (2015) Drying of Brazilian Pepper-Tree Fruits (Schinus terebinthifolius Raddi): Development of Classical Models and Artificial Neural Network Approach. Chemical Engineering Communications 202:8, pages 1089-1097.
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Mortaza Aghbashlo, Mohammad Hossein Kianmehr, Tayyeb Nazghelichi & Shahin Rafiee. (2011) Optimization of an Artificial Neural Network Topology for Predicting Drying Kinetics of Carrot Cubes Using Combined Response Surface and Genetic Algorithm. Drying Technology 29:7, pages 770-779.
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Alex Martynenko, SimonX. Yang & Leilei Pan. (2007) Intelligent Computation of Moisture Content in Shrinkable Biomaterials. Drying Technology 25:10, pages 1667-1676.
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Rami Jumah & ArunS. Mujumdar. (2005) Modeling Intermittent Drying Using an Adaptive Neuro-Fuzzy Inference System. Drying Technology 23:5, pages 1075-1092.
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Robert M. Myhara & Shyam Sablani. (2001) UNIFICATION OF FRUIT WATER SORPTION ISOTHERMS USING ARTIFICIAL NEURAL NETWORKS. Drying Technology 19:8, pages 1543-1554.
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María C. Palancar, José M. Aragón & José A. Castellanos. (2001) NEURAL NETWORK MODEL FOR FLUIDISED BED DRYERS. Drying Technology 19:6, pages 1023-1044.
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S. Sreekanth, H.S. Ramaswamy & S. Sablani. (1998) PREDICTION OF PSYCHROMETRIC PARAMETERS USING NEURAL NETWORKS. Drying Technology 16:3-5, pages 825-837.
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Articles from other publishers (6)

Muhammad Faisal Irfan, Farouq S. Mjalli & Sang Done Kim. (2012) Modeling of NH3–NO–SCR reaction over CuO/γ-Al2O3 catalyst in a bubbling fluidized bed reactor using artificial intelligence techniques. Fuel 93, pages 245-251.
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A.I. Martynenko & Simon X. Yang. (2006) Biologically Inspired Neural Computation for Ginseng Drying Rate. Biosystems Engineering 95:3, pages 385-396.
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J. Welti-Chanes, F. Vergara-Balderas & D. Bermúdez-Aguirre. (2005) Transport phenomena in food engineering: basic concepts and advances. Journal of Food Engineering 67:1-2, pages 113-128.
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José A. Castellanos, María C. Palancar & José M. Aragón. (2002) Designing and Optimizing a Neural Network for the Modeling of a Fluidized-Bed Drying Process. Industrial & Engineering Chemistry Research 41:9, pages 2262-2269.
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S. SREEKANTH, H.S. RAMASWAMY, S.S. SABLANI & S.O. PRASHER. (1999) A NEURAL NETWORK APPROACH FOR EVALUATION of SURFACE HEAT TRANSFER COEFFICIENT. Journal of Food Processing and Preservation 23:4, pages 329-348.
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S.S. Sablani, H.S. Ramaswamy, S. Sreekanth & S.O. Prasher. (1997) Neural network modeling of heat transfer to liquid particle mixtures in cans subjected to end-over-end processing. Food Research International 30:2, pages 105-116.
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