The demand for compressors is projected to grow by 4.4% per year for five years until 2016 and steadily rise after 2016. In particular, centrifugal compressors are often used because they have a higher compression ratio and a simpler construction than the axial flow type.
The turbo cetrifugal co...
The demand for compressors is projected to grow by 4.4% per year for five years until 2016 and steadily rise after 2016. In particular, centrifugal compressors are often used because they have a higher compression ratio and a simpler construction than the axial flow type.
The turbo cetrifugal compressor is a machine that sucks fluid by impeller rotation and compresses and exhausts through diffuser and volute. In particular, it is important to design the diffuser to restore the kinetic energy generated by the impeller to the static pressure effectively, in view of improving the performance of the compressor.
The turbo cetrifugal compressor considered in this paper has a slightly lower performance than the other. Therefore, the isentropic efficiency of the cetrifugal compressor is improved through the optimal design of the diffuser, which is relatively free to change the shape and affect the pressure recovery function of the cetrifugal compressor as well as the operating range of the actual compressor.
The turbo cetrifugal compressor used in this study is a 160 hp cetrifugal compressor with a diameter of 300 mm. It consists of 7 blades, splits and 11 vanes. Inlet pressure is 140 kPa and rotation speed is 36,254 rpm. pressure ratio 2.1, and isentropic efficiency 75%.
Stagger angle, R2 / R1, Vane angle, and vane number were selected as design variables considering the variables such as stall, area of diffuser outlet, and Vortex affecting diffuser performance. Finally, the design variables were selected as the stagger angle, R2 / R1, and the Vane angle through the sensitivity test.
In this paper, we extract the sampling points using Optimal Space Filling Design which is mainly used in critical experiments such as computer simulation which is not suitable for the design of experiments, use the screening method of Global Optimization by making an approximate model using the Kriging method, We used the appropriate NLPQL method.
Optimal data derived from the NLPQL method improved the performance improvement of isentropic efficiency of 0.574% and pressure recovery coefficient of 0.019, but increased pressure loss coefficient of 0.009. However, considering that it is a turbo centrifugal compressor that is in operation, it is considered that the performance improvement is considerable.
When the performance of the initial model and the optimal model was confirmed, it was confirmed that the performance of Isentropic efficiency, Pressure recovery coefficeincy and Pressure loss coefficeincy were degraded and the global performance was improved. From the viewpoint of actual turbo centrifugal compressor operation, it is considered that the local performance deterioration of the turbo centrifugal compressor is negligible in that the operating region is selected considering the global operable region of the turbo centrifugal compressor.
The demand for compressors is projected to grow by 4.4% per year for five years until 2016 and steadily rise after 2016. In particular, centrifugal compressors are often used because they have a higher compression ratio and a simpler construction than the axial flow type.
The turbo cetrifugal compressor is a machine that sucks fluid by impeller rotation and compresses and exhausts through diffuser and volute. In particular, it is important to design the diffuser to restore the kinetic energy generated by the impeller to the static pressure effectively, in view of improving the performance of the compressor.
The turbo cetrifugal compressor considered in this paper has a slightly lower performance than the other. Therefore, the isentropic efficiency of the cetrifugal compressor is improved through the optimal design of the diffuser, which is relatively free to change the shape and affect the pressure recovery function of the cetrifugal compressor as well as the operating range of the actual compressor.
The turbo cetrifugal compressor used in this study is a 160 hp cetrifugal compressor with a diameter of 300 mm. It consists of 7 blades, splits and 11 vanes. Inlet pressure is 140 kPa and rotation speed is 36,254 rpm. pressure ratio 2.1, and isentropic efficiency 75%.
Stagger angle, R2 / R1, Vane angle, and vane number were selected as design variables considering the variables such as stall, area of diffuser outlet, and Vortex affecting diffuser performance. Finally, the design variables were selected as the stagger angle, R2 / R1, and the Vane angle through the sensitivity test.
In this paper, we extract the sampling points using Optimal Space Filling Design which is mainly used in critical experiments such as computer simulation which is not suitable for the design of experiments, use the screening method of Global Optimization by making an approximate model using the Kriging method, We used the appropriate NLPQL method.
Optimal data derived from the NLPQL method improved the performance improvement of isentropic efficiency of 0.574% and pressure recovery coefficient of 0.019, but increased pressure loss coefficient of 0.009. However, considering that it is a turbo centrifugal compressor that is in operation, it is considered that the performance improvement is considerable.
When the performance of the initial model and the optimal model was confirmed, it was confirmed that the performance of Isentropic efficiency, Pressure recovery coefficeincy and Pressure loss coefficeincy were degraded and the global performance was improved. From the viewpoint of actual turbo centrifugal compressor operation, it is considered that the local performance deterioration of the turbo centrifugal compressor is negligible in that the operating region is selected considering the global operable region of the turbo centrifugal compressor.
Keyword
#Optimization Centrifugal compressor Computational fluid analysis
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