An Empirical noise model of centrifugal fans with different volute tongues based on Langevin regression

Xiao, Qianhao; Wang, Jun; Yang, Xiaopei; Ding, Yanyan; Jiang, Boyan

doi:10.1016/j.jobe.2023.107876

Journal of Building Engineering

2023

DOI: 10.1016/j.jobe.2023.107876

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An Empirical noise model of centrifugal fans with different volute tongues based on Langevin regression

Qianhao Xiao,

Jun Wang,

Xiaopei Yang

et al.

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Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan

Xiao,

Jiang,

Yang

et al. 2023

Physics of Fluids

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A large eddy simulation (LES) of a squirrel cage fan (SCF) provides a precise representation of turbulent flows with different degrees of complexity. This study comprehensively analyzes the coherent structures of turbulent flows in an SCF using an LES, proper orthogonal decomposition (POD), dynamic mode decomposition (DMD), and multi-resolution dynamic mode decomposition (mrDMD). An intelligent reduced-order model is established by integrating hierarchical deep learning and the sparse identification of nonlinear dynamics. The result shows that the evolution of the global DMD modes is attenuated due to the spatial distribution variations of localized high-frequency mrDMD modes, along with the fragmented and non-steady development of modal patterns. Unlike POD, DMD quantifies the quality of the impeller inlet environment and captures the antisymmetric low-dimensional flows associated with the shedding of rotating vortex structures. The interaction strength between stationary and dynamic rotating areas is accurately represented by attractors characterized by petal-like structures. The trajectory of the attractors faithfully maps the antisymmetric structural attributes, quasi-periodic behavior, and gradual attenuation characteristics exhibited by DMD modes. The number of petal-like systems and their temporal oscillations are in good agreement with the number of fan blades and their rotational cycles. This study provides new insight into fan engineering to advance flow control strategies and improve the understanding of the underlying flow mechanisms.

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Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan

Xiao,

Jiang,

Yang

et al. 2023

Physics of Fluids

View full text Add to dashboard Cite

show abstract

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An Empirical noise model of centrifugal fans with different volute tongues based on Langevin regression

Cited by 1 publication

References 43 publications

Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan

Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan

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