Title :
Notice of Retraction
Fractal analysis of mixing time in gas-liquid-solid stirred reactor based on CFD and image processing
Author :
Jianxin Xu ; Hua Wang ; Daofei Zhu ; Shibo Wang ; Hui Sun
Author_Institution :
Fac. of Metall. & Energy Eng., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In order to predict gas-liquid-solid multiphase mixing effect in the gas-liquid-solid three-phase reactors, a novel method based on image processing technology, fractal dimension and CFD technology is introduced in this work. Each pattern produced by phase transition in the stirred reactor are continuously eroded and binarized five times. Evolution profile of the fractal dimension slope value P of each five binary patterns is used to evaluate the mixing time. Comparing with the classical fractal method, our method can more clearly and accurately reflect the trends of mixing process. The results illustrate effect of mixing time on flow rate and submerged length. A optimization model has been developed to select the best process parameters, and hydraulic model experiments verify the validity of this method.
Keywords :
chemical engineering computing; chemical reactors; computational fluid dynamics; image processing; multiphase flow; optimisation; CFD; evolution profile; fractal analysis; fractal dimension; gas-liquid-solid multiphase mixing effect; gas-liquid-solid stirred reactor; gas-liquid-solid three-phase reactor; image processing; mixing time; optimization model; phase transition; Inductors; Lead; fractal dimension; image processing; mixing time; numerical simulation; stirred reactor;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Print_ISBN :
978-1-4244-7235-2
DOI :
10.1109/ICCASM.2010.5620259