Multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor

Hydrodynamic cavitation (HC) has been widely considered a promising technique for industrial-scale process intensifications. The effectiveness of HC is determined by the performance of hydrodynamic cavitation reactors (HCRs). The advanced rotational HCRs (ARHCRs) proposed recently have shown superio...

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Autores principales:	Xun Sun, Ze Yang, Xuesong Wei, Yang Tao, Grzegorz Boczkaj, Joon Yong Yoon, Xiaoxu Xuan, Songying Chen
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Hydrodynamic cavitation reactor Multi-objective optimization CGU structure Genetic algorithm Process intensification Computational fluid dynamics Chemistry QD1-999 Acoustics. Sound QC221-246
Acceso en línea:	https://doaj.org/article/0a7a114d20404f95af97be375baa8186
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spelling	oai:doaj.org-article:0a7a114d20404f95af97be375baa81862021-12-02T04:59:44ZMulti-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor1350-417710.1016/j.ultsonch.2021.105771https://doaj.org/article/0a7a114d20404f95af97be375baa81862021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1350417721003138https://doaj.org/toc/1350-4177Hydrodynamic cavitation (HC) has been widely considered a promising technique for industrial-scale process intensifications. The effectiveness of HC is determined by the performance of hydrodynamic cavitation reactors (HCRs). The advanced rotational HCRs (ARHCRs) proposed recently have shown superior performance in various applications, while the research on the structural optimization is still absent. The present study, for the first time, identifies optimal structures of the cavitation generation units of a representative ARHCR by combining genetic algorithm (GA) and computational fluid dynamics, with the objectives of maximizing the total vapor volume, Vvapor , and minimizing the total torque of the rotor wall, M→z . Four important geometrical factors, namely, diameter (D), interaction distance (s), height (h), and inclination angle (θ), were specified as the design variables. Two high-performance fitness functions for Vvapor and M→z were established from a central composite design with 25 cases. After performing 10,001 simulations of GA, a Pareto front with 1630 non-dominated points was obtained. The results reveal that the values of s and θ of the Pareto front concentrated on their lower (i.e., 1.5 mm) and upper limits (i.e., 18.75°), respectively, while the values of D and h were scattered in their variation regions. In comparison to the original model, a representative global optimal point increased the Vvapor by 156% and decreased the M→z by 14%. The corresponding improved mechanism was revealed by analyzing the flow field. The findings of this work can strongly support the fundamental understanding, design, and application of ARHCRs for process intensifications.Xun SunZe YangXuesong WeiYang TaoGrzegorz BoczkajJoon Yong YoonXiaoxu XuanSongying ChenElsevierarticleHydrodynamic cavitation reactorMulti-objective optimizationCGU structureGenetic algorithmProcess intensificationComputational fluid dynamicsChemistryQD1-999Acoustics. SoundQC221-246ENUltrasonics Sonochemistry, Vol 80, Iss , Pp 105771- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Hydrodynamic cavitation reactor Multi-objective optimization CGU structure Genetic algorithm Process intensification Computational fluid dynamics Chemistry QD1-999 Acoustics. Sound QC221-246
spellingShingle	Hydrodynamic cavitation reactor Multi-objective optimization CGU structure Genetic algorithm Process intensification Computational fluid dynamics Chemistry QD1-999 Acoustics. Sound QC221-246 Xun Sun Ze Yang Xuesong Wei Yang Tao Grzegorz Boczkaj Joon Yong Yoon Xiaoxu Xuan Songying Chen Multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor
description	Hydrodynamic cavitation (HC) has been widely considered a promising technique for industrial-scale process intensifications. The effectiveness of HC is determined by the performance of hydrodynamic cavitation reactors (HCRs). The advanced rotational HCRs (ARHCRs) proposed recently have shown superior performance in various applications, while the research on the structural optimization is still absent. The present study, for the first time, identifies optimal structures of the cavitation generation units of a representative ARHCR by combining genetic algorithm (GA) and computational fluid dynamics, with the objectives of maximizing the total vapor volume, Vvapor , and minimizing the total torque of the rotor wall, M→z . Four important geometrical factors, namely, diameter (D), interaction distance (s), height (h), and inclination angle (θ), were specified as the design variables. Two high-performance fitness functions for Vvapor and M→z were established from a central composite design with 25 cases. After performing 10,001 simulations of GA, a Pareto front with 1630 non-dominated points was obtained. The results reveal that the values of s and θ of the Pareto front concentrated on their lower (i.e., 1.5 mm) and upper limits (i.e., 18.75°), respectively, while the values of D and h were scattered in their variation regions. In comparison to the original model, a representative global optimal point increased the Vvapor by 156% and decreased the M→z by 14%. The corresponding improved mechanism was revealed by analyzing the flow field. The findings of this work can strongly support the fundamental understanding, design, and application of ARHCRs for process intensifications.
format	article
author	Xun Sun Ze Yang Xuesong Wei Yang Tao Grzegorz Boczkaj Joon Yong Yoon Xiaoxu Xuan Songying Chen
author_facet	Xun Sun Ze Yang Xuesong Wei Yang Tao Grzegorz Boczkaj Joon Yong Yoon Xiaoxu Xuan Songying Chen
author_sort	Xun Sun
title	Multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor
title_short	Multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor
title_full	Multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor
title_fullStr	Multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor
title_full_unstemmed	Multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor
title_sort	multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/0a7a114d20404f95af97be375baa8186
work_keys_str_mv	AT xunsun multiobjectiveoptimizationofthecavitationgenerationunitstructureofanadvancedrotationalhydrodynamiccavitationreactor AT zeyang multiobjectiveoptimizationofthecavitationgenerationunitstructureofanadvancedrotationalhydrodynamiccavitationreactor AT xuesongwei multiobjectiveoptimizationofthecavitationgenerationunitstructureofanadvancedrotationalhydrodynamiccavitationreactor AT yangtao multiobjectiveoptimizationofthecavitationgenerationunitstructureofanadvancedrotationalhydrodynamiccavitationreactor AT grzegorzboczkaj multiobjectiveoptimizationofthecavitationgenerationunitstructureofanadvancedrotationalhydrodynamiccavitationreactor AT joonyongyoon multiobjectiveoptimizationofthecavitationgenerationunitstructureofanadvancedrotationalhydrodynamiccavitationreactor AT xiaoxuxuan multiobjectiveoptimizationofthecavitationgenerationunitstructureofanadvancedrotationalhydrodynamiccavitationreactor AT songyingchen multiobjectiveoptimizationofthecavitationgenerationunitstructureofanadvancedrotationalhydrodynamiccavitationreactor
_version_	1718400872101183488

Multi-objective optimization of the cavitation generation unit structure of an advanced rotational hydrodynamic cavitation reactor

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