THERMAL SCIENCE

International Scientific Journal

Shuai Hao

,

Wenjie Zhou

,

Jiajun Wang

,

Yudong Xia

,

Shu Jiangzhou

STUDY ON ICE SLURRY FLOW CHARACTERISTICS BASED ON GENETIC ALGORITHM

ABSTRACT
Ice slurry is a solid-liquid phase fluid consisting of a liquid solution and ice particles. It is widely used in life and engineering because of its excellent cold-carrying capacity. In this paper, a genetic algorithm is used to optimize the ice slurry flow with the minimum pumping power as the objective function. The results show that the genetic algorithm can be effectively applied to the optimization of ice slurry flow characteristics within reasonable parameters. In addition, the transport characteristics of ice slurry are also analyzed. The selection of suitable ice mass fraction values under different working conditions can make the transport characteristics optimal.
KEYWORDS
Ice slurry, flow characteristic, ice mass fraction, genetic algorithm
PAPER SUBMITTED: 2021-11-29
PAPER REVISED: 2022-02-06
PAPER ACCEPTED: 2022-03-02
PUBLISHED ONLINE: 2022-05-22
DOI REFERENCE: https://doi.org/10.2298/TSCI211129059H
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2022, VOLUME 26, ISSUE Issue 5, PAGES [3965 - 3973]
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Study on ice slurry flow characteristics based on genetic algorithm

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence