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Research on noise reduction of axial flow fans: Combining the convenient parameterized model in CAESES for flow optimization, fan noise is currently a key concern in the industry. Noise reduction is a considerable and complex content. By adjusting the blade model and improving the flow effect inside the fan, the aerodynamic noise of the fan can be reduced to a certain extent. By combining the convenient parametric modeling function of CAESES, it is possible to conduct convenient and rapid research on the effects of blade tip tilt, trailing edge sawtooth, and other structures, achieving the goal of improving fan aerodynamic performance and reducing noise.

Below is an introduction to some applications of CAESES parametric modeling in the study of noise reduction in axial fans:

Tip tilt

Tip tilting can reduce the interaction between the rotor and stator of an axial fan, thereby reducing noise levels. We can cut the top of the blade in CAESES to form an inclined structure, and control the shape and depth of the cutting through parameters, so as to quickly generate multiple scheme models, and combine CFD software for automated simulation optimization research.

Serrated tail edge

he serrated structure of the trailing edge can mix the airflow on the suction and pressure sides of the blade, and by improving the transition form of the airflow on both sides, it can effectively reduce wake loss, thereby achieving efficiency improvement and noise reduction. In CAESES, it is convenient to control the shape, position, depth, and quantity of trailing edge serrations through parameters, and conduct in-depth research on the impact of this structure on fan performance.

Other surface features

CAESES has powerful functional integration and open feature editing strategies, which can achieve parameterized construction of various complex structures and conveniently meet the various needs of engineers for model deformation during the optimization process.

Other surface features

CAESES has powerful functional integration and open feature editing strategies, which can achieve parameterized construction of various complex structures and conveniently meet the various needs of engineers for model deformation during the optimization process.