Detailed parametric design methodology for hydrodynamics of liquid–solid circulating fluidized bed using design of experiments--颗粒学报PARTICUOLOGY

Ramesh Palkar, R., & Shilapuram, V. (2017). Detailed parametric design methodology for hydrodynamics of liquid–solid circulating fluidized bed using design of experiments. Particuology, 31, 59-68. https://doi.org/10.1016/j.partic.2016.04.005

Detailed parametric design methodology for hydrodynamics of liquid–solid circulating fluidized bed using design of experiments

Ritesh Ramesh Palkar, Vidyasagar Shilapuram ^*

Chemical Engineering Department, National Institute of Technology, Warangal, 506004, Telangana, India

10.1016/j.partic.2016.04.005

Volume 31, April 2017, Pages 59-68

Received 17 December 2015, Revised 29 March 2016, Accepted 5 April 2016, Available online 28 July 2016, Version of Record 9 March 2017.

E-mail: vidyasagars@nitw.ac.in

Highlights

• Multilevel factorial design approach was used to model the liquid–solid circulating fluidized bed.

• Quadratic regression model was adopted to describe solids holdup and solids circulation rate.

• Validation of the model proved its reasonable adequacy.

• The developed model can be used to estimate the hydrodynamics of fluidization.

Abstract

A design-of-experiments methodology is used to develop a statistical model for the prediction of the hydrodynamics of a liquid–solid circulating fluidized bed. To illustrate the multilevel factorial design approach, a step by step methodology is taken to study the effects of the interactions among the independent factors considered on the performance variables. A multilevel full factorial design with three levels of the two factors and five levels of the third factor has been studied. Various statistical models such as the linear, two-factor interaction, quadratic, and cubic models are tested. The model has been developed to predict responses, viz., average solids holdup and solids circulation rate. The validity of the developed regression model is verified using the analysis of variance. Furthermore, the model developed was compared with an experimental dataset to assess its adequacy and reliability. This detailed statistical design methodology for non-linear systems considered here provides a very important tool for design and optimization in a cost-effective approach.

Graphical abstract

Keywords

Hydrodynamics; Liquid–solid circulating fluidized bed; Statistical design; Factorial design approach; Response prediction; Analysis of variance

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