Modeling and Multi-Objective Optimization of Forward-Curved Blade Centrifugal Fans Using CFD and Neural Networks

Khalkhali, Abolfazl; Farajpoor, Mehdi; Safikhani, Hamed

doi:10.1139/tcsme-2011-0005

Cited by 19 publications

(7 citation statements)

References 17 publications

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“…The effects of turbulent flow structure on the performance of a centrifugal fan were studied numerically and experimentally [14,15]. The numerical studies [16][17][18][19][20] demonstrated that numerical simulations play an increasingly important role in fan performance design. Wang et al [21] proposed that the representation technique is capable of effectively getting the nonuniform circumferential flow conditions at both the outlet and inlet of fan impeller.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Vortex Characteristics of a Multi-Blade Centrifugal Fan near Volute Outlet Region

Ye²,

Wei

2020

Processes

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The origins and effects of the complex vortex structure near the volute outlet of a multi-blade centrifugal fan are investigated in this paper. Due to the wide blade and short blade channel, the airflow maintains a large radial velocity during the blade channel. This continuous radial partial velocity causes vortices to be generated at the region of volute outlet. Then, the secondary flow close to the impeller generate from the center to the sides in volute. It is obtained that the streamlines are divided into two parts (backflow and outflow) at volute outlet. Although the vortices near volute outlet region are complex, the main features of flow behavior caused by the vortex are understandable.

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Section: Introductionmentioning

confidence: 99%

Investigation on Vortex Characteristics of a Multi-Blade Centrifugal Fan near Volute Outlet Region

Ye²,

Wei

2020

Processes

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“…Studies concerning the design optimization of the squirrel cage fan based on CFD simulations can be found in Heo et al., 20 Kim et al., 21 Huang and Hung, 22 and Khalkhali et al. 23 The above numerical studies show that CFD simulation has been playing an increasingly important role in the performance prediction as well as the design optimization of squirrel cage fan.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation on flow mechanisms of a squirrel cage fan

Wang

Zhang

2018

Proceedings of the Institution of Mechanical Engineers, Part A:

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Squirrel cage fan has found wide applications in heating, ventilation and air-conditioning as well as other cooling systems. Although many studies have been conducted to investigate the performance of the squirrel cage fan, the complex flows and the associated flow mechanisms have not been fully elucidated. In this paper, computational fluid dynamics simulations are performed for a comprehensive analysis of the flow throughout a whole squirrel cage fan. A novel representation technique is proposed for a vivid and quantitative description of the flow velocity distributions at the impeller inlet and outlet to aid a heuristic analysis of the complex flows in squirrel cage fan. The pressure gradient distributions, together with the pressure itself, along the volute wall are also extracted and analyzed to explore the local flow conditions of the volute profile with four segmental arcs. The results show that the proposed representation technique is capable of effectively measuring the circumferentially nonuniform flow conditions at both the impeller inlet and outlet. The strong interaction between the impeller and the volute tongue induces reversed flows at both the impeller inlet and outlet, which further aggravates the circumferential nonuniformity of inactive zone and the upstream impeller flow field. Despite the first-order continuity of the volute profile itself, there are strong variations of tangential pressure gradients and sudden diffusion-expansion effects at the junctions of adjacent arcs. These findings benefit a deep understanding of the complex flow mechanisms within the squirrel cage fan.

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“…At present, widely used numerical optimisation methods include genetic algorithms (GAs) , neural network methods , gradient‐based methods and simulated annealing methods . These can be combined with computational fluid dynamics (CFD) methods to constitute automatic optimisation design methods.…”

Section: Introductionmentioning

confidence: 99%

An improved genetic algorithm and its applications to the optimisation design of an aspirated compressor profile

Zhang

Zhou

2015

Numerical Methods in Fluids

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SUMMARYGenetic algorithm (GA) is a widely used method for numerical optimisation owing to their good global search ability; however, their local search ability has an obvious shortcoming. To improve local search ability, this paper introduces a simplex method and combines it with a GA to form an improved genetic algorithm (IGA). In the IGA, at each generation of the original GA, high-fitness individuals are selected as vertices of a simplex, and then a one-dimensional search within the simplex is conducted to obtain the most-fit individuals while replacing the inferior ones. Typical test functions show that the IGA can effectively improve the optimisation effect over that of the original GA. To further verify the IGA's practicability, an aspirated compressor profile is optimised with profile, suction flow rate and suction flow location as coupled design parameters. The results again show that the IGA has a better optimising effect than the GA. In addition, it is also verified that coupling the profile and suction flow parameters results in a design that outperforms the uncoupled design; therefore, designing an aspirated compressor blade by arranging suction flow on a conventional blade without considering suction flow is not a good method.

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Modeling and Multi-Objective Optimization of Forward-Curved Blade Centrifugal Fans Using CFD and Neural Networks

Cited by 19 publications

References 17 publications

Investigation on Vortex Characteristics of a Multi-Blade Centrifugal Fan near Volute Outlet Region

Investigation on Vortex Characteristics of a Multi-Blade Centrifugal Fan near Volute Outlet Region

Numerical investigation on flow mechanisms of a squirrel cage fan

An improved genetic algorithm and its applications to the optimisation design of an aspirated compressor profile

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