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Licensed Unlicensed Requires Authentication Published by De Gruyter July 11, 2022

Logistic fitting model application for evaluation of gas-liquid two-phase mixing effects

  • Shuai Gao , Biao Li , Wengui Gao , Jianxin Xu EMAIL logo and Hua Wang

Abstract

The evaluation of mixing effects is crucial in industrial production such as chemical and metallurgical industries. An improved Betti number method is proposed by using a gas-liquid top-blow mixing experiment and a direct contact heat exchange experiment. This method is adapted to the comprehensive evaluation of flow mixing and heat transfer performance under conditions of dispersed particles or bubbles where the target is identifiable. The comparison results and reveals that our method can not only portray the mixing effect by the critical point of the area integration curve of the Betti number time series but also the parameters (i.e., slope and intercept) obtained after the area integration of the Betti number curve by the logistic regression model can effectively characterize the mixing time and heat exchange performance. The intercept variation of the area integral of the Betti number curve was found to have a high correlation with the correlation coefficients of mixing time and heat transfer coefficient. Meanwhile, a new index for evaluating the mixing performance was obtained. The optimal working condition was obtained. This method is simple and easy to implement and can be extended to processes where the target is identifiable in a transparent reactor and where both mixing and heat transfer effects need to be quantified.


Corresponding author: Jianxin Xu, Engineering Research Center of Metallurgical Energy Conservation and Emission Reduction, Ministry of Education, Kunming University of Science and Technology, Kunming 650093, PR China; National Joint Engineering Research Center of Energy Saving and Environmental Protection Technology in Metallurgy and Chemical Engineering Industry, Kunming University of Science and Technology, Kunming 650093, PR China; and Faulty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, PR China, E-mail:

Award Identifier / Grant number: 52166004

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: We acknowledge the financial support from the National Natural Science Foundation of China (Project Nos.: 52166004).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/ijcre-2021-0286).


Received: 2021-12-06
Accepted: 2022-06-21
Published Online: 2022-07-11

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 29.3.2024 from https://www.degruyter.com/document/doi/10.1515/ijcre-2021-0286/pdf
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