Research on Multi-Optimal Project of Outlet Guide Vanes of Nuclear Grade Axial Flow Fan Based on Sensitivity Analysis

Jin, Weiya; Mao, Zijian; Zhou, Sizhong; Zhang, Tianle; Hu, Yidan; Wu, Zhenghui

doi:10.3390/app12063029

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Zhang et al [10] and Xu et al [11] studied the impact of cooling and heat transfer characteristics in the turbine guide vane cavity. A numerical simulation of multihole impingement cooling of a turbine guide vane cavity [12] with a complex pin fin structure was conducted. Xin et al [13] carried out a numerical simulation of a radial intake chamber with guide vanes with self-guide grooves.…”

Section: Computational Modelmentioning

confidence: 99%

Angle-Regulating Rule of Guide Vanes of Variable Geometry Turbine Adjusting Mechanism

et al. 2023

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In recent years, more and more attention has been paid to research on variable geometry turbine engines with the increasing requirement of engine performance. Variable geometry turbine technology can significantly improve the operating performance of aero engines. Adjusting the working angle of the turbine guide vane can change the thermodynamic cycle of the engine operation, so that the turbine can respond to different engine operating conditions. Variable geometry turbines work in harsh environments. Therefore, the design of the variable geometry turbine needs to consider the effect of thermal deformations of the mechanism on operational stability. There are few research studies on variable geometry turbine adjusting mechanisms. This paper established the numerical calculation models of two adjusting mechanisms by integrating fluid mechanics, heat transfer, and dynamic theories, which are paddle and push–pull rod mechanisms. The models were applied to study the effects of components’ thermal deformations and flexible bodies on the motion characteristics of the adjusting mechanism. Furthermore, the performance of the two adjusting mechanisms was compared. The calculation results show that the paddle rod adjusting mechanism can accurately adjust the angles of guide vanes. The paddle rod adjusting mechanism has a larger driving stroke and smaller driving force than the push–pull rod adjusting mechanism. The paddle adjustment mechanism was better suited to the operational requirements of the variable geometry turbine. The research results of this paper are relevant to the design of variable geometry turbine regulation structures.

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Section: Computational Modelmentioning

confidence: 99%

Angle-Regulating Rule of Guide Vanes of Variable Geometry Turbine Adjusting Mechanism

et al. 2023

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“…In the realm of industrial equipment modeling and optimization, achieving precision and practicality in outcomes remains a paramount concern. To address this, scholars have embraced innovative methods, such as the integration of adaptive mixing techniques, alternative models, and computational fluid dynamics (CFD) with multiobjective intelligent optimization approaches. , This integration not only aims to reduce computational requirements by minimizing CFD simulations but also reinvigorates stirred reactor optimization studies, especially for the most widely used dual impeller systems . This study delves into the intricate task of enhancing solid–liquid mixing uniformity while simultaneously minimizing power consumption in dual-impeller mixing tanks, which is of great significance in industrial applications.…”

Section: Introductionmentioning

confidence: 99%

“… 22 , 23 This integration not only aims to reduce computational requirements by minimizing CFD simulations but also reinvigorates stirred reactor optimization studies, especially for the most widely used dual impeller systems. 24 This study delves into the intricate task of enhancing solid–liquid mixing uniformity while simultaneously minimizing power consumption in dual-impeller mixing tanks, which is of great significance in industrial applications. We introduce a sensitivity analysis-driven design approach, utilizing the Euler–Euler method and the Sobol method for RBF approximation model construction, to investigate key variables influencing overall mixing system performance.…”

Section: Introductionmentioning

confidence: 99%

Optimized Design of Solid–Liquid Dual-Impeller Mixing Systems for Enhanced Efficiency

Xia,

Mao,

Zhou

et al. 2023

ACS Omega

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Flow interferences occur in the dual-impeller stirred tank between paddles as well as between paddles and baffles and the tank wall, leading to inefficient utilization of the stirring energy. To address this issue, this study investigates the flow characteristics within the mixing tank using Euler–Euler numerical simulation and the particle image velocimetry (PIV) experimental method. The three-dimensional nonconstant flow characteristics are analyzed to optimize the critical stirrer geometry. By employing the Sobol method, an approximate model is established for sensitivity analysis to identify key parameters affecting the solid–liquid dual-impeller stirred tank’s performance. Numerical simulations demonstrate that the optimized stirred tank exhibits a significantly improved solid–liquid suspension capacity and considerably reduces flow losses near the wall and baffle areas. Under the designated conditions, the cloud height is increased by 8.7%, and power consumption is reduced by 15.6% compared to the prototype. PIV tests performed on the stirred tank before and after optimization confirmed the reliability of the obtained optimization results. The primary objective of this study is to enhance mixing efficiency and homogeneity in solid–liquid mixing tanks while concurrently minimizing energy consumption and cost. These results validate the feasibility of employing a multiobjective optimal design approach that combines the RBF agent model with the Sobol method. The findings offer valuable insights for the design of similar mixing tanks.

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“…Zhou et al 15 utilized kriging agent models and NSGA-II to optimize axial fans, validated by experiments. Liu et al 16 merged deep neural networks and genetic algorithms to predict axial fan performance.Jin et al 17 applied the Sobol method to optimize large axial fan exit guide vanes, significantly reducing fan noise. Safikhani et al 18 employed polynomial neural networks to enhance centrifugal pump design, validated through experiments and CFD simulations.Ren et al 19 analyzed centrifugal fan aerodynamic noise via the DES/FEM method, providing effective numerical simulation for actual conditions.…”

Section: Introductionmentioning

confidence: 99%

The multi-objective optimisation design of outlet guide vanes of diagonal flow fan based on sobol sensitivity analysis

Mao,

Luo,

Zhou

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part A:

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Diagonal flow fans offer substantial energy-saving potential and find broad application across various sectors. Their performance relies heavily on factors like outlet guide vanes and spacing relative to moving blades. However, research into enhancing fan performance through optimized guide vanes and spacing remains limited. In this study, we focus on improving the accuracy of predicting the internal flow field of diagonal flow fans. This paper incorporate rotation and curvature effects using the Large Eddy Simulation (LES) model and introduce stress terms with helicity constraints to create a non-linear subgrid-scale model. This refined model enables more precise numerical simulations. By employing accurate simulations, we optimize the outlet guide vane configuration and conduct sensitivity analysis. We utilize a Radial Basis Function (RBF) model coupled with the Sobol method for this purpose. The optimized guide vane design exhibits enhanced resistance to airflow separation compared to the original, resulting in notable reductions in flow losses within the grille channel. Experimental tests are performed on the diagonal flow fan both before and after optimization. At the specified operating point, the second guide vane optimization leads to a 1.28 m3/min increase in fan flow, a 4.33% rise in total pressure efficiency, and a 2.2 dB noise reduction. These findings underscore the accuracy of the helicity correction model in predicting diagonal flow fan behavior. The multi-objective optimization approach, combining the RBF proxy model with the Sobol method, proves highly reliable. It offers valuable design insights for similar fans and establishes a credible design methodology.

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Research on Multi-Optimal Project of Outlet Guide Vanes of Nuclear Grade Axial Flow Fan Based on Sensitivity Analysis

Cited by 5 publications

References 15 publications

Angle-Regulating Rule of Guide Vanes of Variable Geometry Turbine Adjusting Mechanism

Angle-Regulating Rule of Guide Vanes of Variable Geometry Turbine Adjusting Mechanism

Optimized Design of Solid–Liquid Dual-Impeller Mixing Systems for Enhanced Efficiency

The multi-objective optimisation design of outlet guide vanes of diagonal flow fan based on sobol sensitivity analysis

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