Prediction of solid circulation rate in an internal circulating fluidized bed: An empirical and ANN approach

Varghese, Mona Mary and Vakamalla, Teja Reddy and Gujjula, Ravi and Mangadody, Narasimha (2022) Prediction of solid circulation rate in an internal circulating fluidized bed: An empirical and ANN approach. Flow Measurement and Instrumentation, 88 (102274). pp. 1-12. ISSN 0955-5986

[img] Text
Flow_Measurement_and_Instrumentation.pdf - Published Version
Restricted to Registered users only

Download (5MB) | Request a copy


Internal Circulating Fluidized beds (ICFBs) are interested in various industries because of their higher thermal efficiency and high reaction rates. However, understanding the complex flow hydrodynamics inside an ICFB is challenging. Also, the experiments needed are expensive and time-consuming. Therefore this study aims to predict the solids circulation rate in an in-house ICFB (0.3 m internal diameter x 3.0 m height) using an empirical model and an Artificial Neural Network (ANN) technique. The solid circulation rates measured at different operating and design conditions using a high-speed video camera are utilized to develop the models mentioned earlier. A dimensionless approach and nonlinear regression models are adopted to derive the empirical model. The Analysis of Variance (ANOVA) technique calculates F-number and their corresponding probabilities (P-values). The ANN model is developed with four input variables: particle size, static bed height, gap height, and gas superficial velocity. Multi-layer Perception model (MLP) with the Feedforward Back Propagation learning rule is employed to build the ANN model. A single hidden layer with nine neurons predicted a close solid circulation rate with minimal error over the empirical model compared to experimental data. Further, the empirical and ANN model's predicting capability is tested against literature data. © 2022 Elsevier Ltd

[error in script]
IITH Creators:
IITH CreatorsORCiD
Mangadody, Narasimha
Item Type: Article
Additional Information: The authors would like to express their sincere thanks to NIT Calicut and IIT Hyderabad for funding and support. The authors also thanks DST-FIST, SR/FIST/ET-1/2020/646, Govt. Of India. for their financial support.
Uncontrolled Keywords: ANN; Empirical model; Hydrodynamics; Internal circulating fluidized bed; Solid circulation rate
Subjects: Chemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: Ms Palak Jain
Date Deposited: 22 May 2023 09:50
Last Modified: 22 May 2023 09:50
Publisher URL:
OA policy:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 11438 Statistics for this ePrint Item