Numeral simulation of solution mixing effect and product preparation effect in the process of preparing cerium oxide by microwave heating

Lv, Chao; Liu, Yanlong; Li, Guannan; Yang, Tao; Zhao, Hongliang; Chen, Xuxin

doi:10.1016/j.csite.2024.104741

Case Studies in Thermal Engineering

2024

DOI: 10.1016/j.csite.2024.104741

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Numeral simulation of solution mixing effect and product preparation effect in the process of preparing cerium oxide by microwave heating

Chao Lv,

Yanlong Liu,

Guannan Li

et al.

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Cited by 2 publications

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Optimizing passive micromixers: Enhancing mixing efficiency through computational fluid dynamics and metaheuristic algorithms

Mustafa,

Zunaid,

Gautam

2024

Can J Chem Eng

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This paper examines the optimization of micromixers, highlighting their essential role in improving the efficiency of chemical reactions and fluid mixing at a micro‐scale, and using metaheuristic algorithms for a novel passive micromixer featuring bends and twists with offsets. The twists and bends cause constant changes in the direction of liquid flow, leading to chaotic advection that enhances species mixing while minimizing pressure loss. Although increasing channel length generally improves mixing performance, the proposed design's performance was higher than the reference channel for Reynolds numbers (Re) greater than 100. Key findings include achieving an excellent mixing performance of 87.76% at a Reynolds number of 400, with a bend angle of 60° and a twist factor of 4. The Harris hawk optimization (HHO) algorithm proved the most effective for optimizing microfluidic channel designs. This approach offers significant advantages for cost‐effectively optimizing microfluidic channel designs.

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Optimizing passive micromixers: Enhancing mixing efficiency through computational fluid dynamics and metaheuristic algorithms

Mustafa,

Zunaid,

Gautam

2024

Can J Chem Eng

View full text Add to dashboard Cite

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The optimization of consensus decision-making for a multi-microwave source system based on composite leader-follower clustering for intelligent agent-based joint heating temperature field

Yang,

Song,

Cheng

et al. 2024

Case Studies in Thermal Engineering

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Numeral simulation of solution mixing effect and product preparation effect in the process of preparing cerium oxide by microwave heating

Cited by 2 publications

References 22 publications

Optimizing passive micromixers: Enhancing mixing efficiency through computational fluid dynamics and metaheuristic algorithms

Optimizing passive micromixers: Enhancing mixing efficiency through computational fluid dynamics and metaheuristic algorithms

The optimization of consensus decision-making for a multi-microwave source system based on composite leader-follower clustering for intelligent agent-based joint heating temperature field

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