✦ LIBER ✦

Estimation of the Heat Transfer Coefficient in a Liquid–Solid Fluidized Bed Using an Artificial Neural Network

✍ Scribed by J. Manickaraj; N. Balasubramanian

Book ID: 111759191
Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 256 KB
Volume: 19
Category: Article
ISSN: 0921-8831
DOI: 10.1163/156855208x293781

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Effects of Chaotic Temperature Fluctuati

Effects of Chaotic Temperature Fluctuations on the Heat Transfer Coefficient in Liquid-Liquid-Solid Fluidized Beds

✍ K. J. Woo; J. S. Kim; Y. Kang; S.-D. Kim 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 261 KB 👁 2 views

Heat transfer in a fluidized bed. Part I

Heat transfer in a fluidized bed. Part II. Interpretation of the heat transfer coefficient on the basis of solids movement

✍ Q.E.J.J.M. Hoelen; S. Stemerding 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 725 KB

Validation of the use of heat transfer m

Validation of the use of heat transfer models in liquid/solid fluidized beds for ice slurry generation

✍ J.W. Meewisse; C.A. Infante Ferreira 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 204 KB

Comparison of maximum coefficients of he

Comparison of maximum coefficients of heat transfer to a surface submerged in a fluidized bed with an estimate obtained from an empirical formula

✍ A. P. Baskakov; O. M. Panov 📂 Article 📅 1983 🏛 Springer US 🌐 English ⚖ 606 KB

A framework development for predicting t

A framework development for predicting the longitudinal dispersion coefficient in natural streams using an artificial neural network

✍ R. Noori; A.R. Karbassi; H. Mehdizadeh; M. Vesali-Naseh; M.S. Sabahi 📂 Article 📅 2010 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 432 KB

## Abstract The main objective of the present investigation is to predict longitudinal dispersion coefficient (__K__~x~) in natural streams using artificial neural network (ANN) technique based on most famous training functions such as Trainlm, Trainrp, Trainscg, Trainoss, and so on. To achieve the

A new approach for the prediction of the

A new approach for the prediction of the heat transfer rate of the wire-on-tube type heat exchanger––use of an artificial neural network model

✍ Yasar Islamoglu 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 114 KB