Title of article :
Parametric study on axial compressor performance in design condition
Author/Authors :
Abbasi ، Sarallah School of Mechanical Engineering - Arak University of Technology , Joodaki ، Ali University of Ayatollah ozma Boroujerdi
From page :
271
To page :
279
Abstract :
In this paper, a parametric study of compressor performances is performed by the streamline curvature method. Effects of three input parameters in the design process, e.g., number of blades, distribution of blade thickness, and blade sweep angels, on the main objective parameters in the aerodynamic design, e.g., velocity distribution, efficiency, and pressure ratio, are investigated in the parametric study. Initially, a certain two-stage axial compressor is designed by the streamline curvature method. Validation of the results is confirmed by comparing the obtained results with the experimental ones. Regarding various values for the aforementioned input parameters, the first stage of the axial compressor is redesigned, and the output parameter is established. Therefore, the sensitivity of the design results to each of the aforementioned parameters is recognized. Results show that increasing the blades sweep angle causes the flow behavior, such as efficiency and pressure ratio in the axial fan, to improve while reducing it provides a completely contrary result. Also, reducing the rotors blades number leads to an increase in the pressure ratio and efficiency while its increase causes a contrary result. It is concluded that a reduction in the number of the blades has a stronger effect on the performance parameters than when it increases. The results also show that the effect of the thickness in the hub is greater than the thickness of the tip, and its increase leads to reduce both efficiency and pressure ratio.
Keywords :
Axial Compressor , Streamline Curvature Method , Blade Geometry , parametric study , Design condition
Journal title :
Journal of Computational and Applied Research in Mechanical Engineering (JCARME)
Journal title :
Journal of Computational and Applied Research in Mechanical Engineering (JCARME)
Record number :
2513799
Link To Document :
بازگشت