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Volume 16
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Article

Optimization of Liquid−Liquid Mixing in a Novel Mixer Based on Hybrid SVR-DE Model

by
Hao Wang
1,
Peijian Zhou
1,2,*,
Ting Chen
3,
Jiegang Mou
1,2,
Jiayi Cui
1 and
Huiming Zhang
4
1
College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China
2
Zhejiang Engineering Research Center of Smart Fluid Equipment & Measurement and Control Technology, Hangzhou 310018, China
3
School of Optical Information and Energy Engineering, Wuhan Institute of Technology, Wuhan 430205, China
4
Dezhou Keyuan Water Supplying Engineering Development Co., Ltd., Dezhou 253000, China
*
Author to whom correspondence should be addressed.
Energies 2023, 16(4), 1808; https://doi.org/10.3390/en16041808
Submission received: 17 December 2022 / Revised: 13 January 2023 / Accepted: 19 January 2023 / Published: 11 February 2023
(This article belongs to the Special Issue Recent Advances in Subsurface Sequestration of Anthropogenic Carbon Dioxide)
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Abstract

To solve the problem of evenly mixing flocculant and sewage, a new type of two-chamber mechanical pipe mixer was numerically calculated and its working principle was studied by means of the internal flow field. The single factor numerical simulation and analysis of some of the structural parameters in the mixer were carried out to determine the influence of different parameters on the results. Latin hypercube sampling was used to design 100 sets of test tables for the four variables of the branch pipe diameter, sewage flow rate, the installation height of the impeller, and the angle of the deflector. The results were optimized using the SVR-DE algorithm. After optimization, the variation coefficient of export flocculant mixing uniformity was 16.02%, which was increased by 74.94% compared with the initial 63.921%. The power consumption of the impeller was reduced by 8.30%. The concentration curves of the flocculant at different positions of the outlet tube could quickly converge to the target value.
Keywords: mixer; numerical calculation; support vector regression; differential evolution mixer; numerical calculation; support vector regression; differential evolution

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MDPI and ACS Style

Wang, H.; Zhou, P.; Chen, T.; Mou, J.; Cui, J.; Zhang, H. Optimization of Liquid−Liquid Mixing in a Novel Mixer Based on Hybrid SVR-DE Model. Energies 2023, 16, 1808. https://doi.org/10.3390/en16041808

AMA Style

Wang H, Zhou P, Chen T, Mou J, Cui J, Zhang H. Optimization of Liquid−Liquid Mixing in a Novel Mixer Based on Hybrid SVR-DE Model. Energies. 2023; 16(4):1808. https://doi.org/10.3390/en16041808

Chicago/Turabian Style

Wang, Hao, Peijian Zhou, Ting Chen, Jiegang Mou, Jiayi Cui, and Huiming Zhang. 2023. "Optimization of Liquid−Liquid Mixing in a Novel Mixer Based on Hybrid SVR-DE Model" Energies 16, no. 4: 1808. https://doi.org/10.3390/en16041808

APA Style

Wang, H., Zhou, P., Chen, T., Mou, J., Cui, J., & Zhang, H. (2023). Optimization of Liquid−Liquid Mixing in a Novel Mixer Based on Hybrid SVR-DE Model. Energies, 16(4), 1808. https://doi.org/10.3390/en16041808

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