the optimization design of blade camber curves is implemented with artificial neural network and genetic algorithm for the axial flow fan stator. The used grid is proven to be independent and the numerical results of fan performance match the test results well. The performance and stator blade profiles of the fan are analyzed for the original and optimized situations. As the mass flow coefficient is 0.28
0.35 and 0.45
the flow mechanism is discussed to demonstrate the effect on stability
hence a method for reducing flow loss in the stator is proposed. The results show that reducing the attack angle and slightly increasing backward angle can suppress the secondary flow within the flow channel under main operating conditions by optimizing inlet and outlet angles of the stator. The optimized structure is able to maintain the pressure rise
improve the efficiency and reduce the power. At the design point
the efficiency is increased by over 7%. For the stator blade
reducing the inlet angle and increasing the outlet angle can adjust load distributions on the blade surface
reduce flow loss and enhance gas flow capacity.
关键词
Keywords
references
WANG Y, LI Y, CHEN J. Analysis of the unsteady flow in compressor cascade with pod method: 2016-GT-57638 [R]. New York, USA: ASME, 2016.
ZHANG Chenkai, HU Jun, WANG Zhiqiang, et al. Numerical study on three-dimensional optimization of low-speed axial compressor rotor blade [J]. Journal of Aerospace Power, 2015, 30(2): 483-490.
KIM J H, BAVUUDORJ O, CHA K H. Optimization of the aerodynamic and aeroacoustic performance of an axial-flow fan [J]. AIAA Journal, 2014, 52(9): 2032-2044.
WANG W, CHU W, ZHANG H. Numerical investigation on the effect of a plenum chamber with slot-type casing treatment on the performance of an axial transonic compressor [J]. Proc IMechE: Part A J Power and Energy, 2015, 229(4): 393-405.
ANDRÉ I, CYRIL G, ANDREAS H. Difference in the working principle of axial slot and tip blowing casing treatments: 2016-GT-56966 [R]. New York, USA: ASME, 2016.
ZHANG Peng, LIU Bo, MAO Xiaochen, et al. Application of 3D blading and non-axisymmetric endwall in a transonic compressor [J]. Journal of Propulsion Technology, 2016, 37(2): 250-257.
HUIMIN T, SHUAIQIANG L, HUALING L. Design optimization of profiled endwall with consideration of cooling and rim seal flow effects: 2016-GT-57219 [R]. New York, USA: ASME, 2016.
ABDUS S, KIM K Y. Multi-objective optimization of an axial compressor blade [J]. Journal of Mechanical Science and Technology, 2008(22): 999-1007.
HUANLONG C, MARK G, KIRAN S, et al. Vorticity dynamics based flow diagnosis for a 1.5-stage high pressure compressor with an optimized transonic rotor: 2016-GT-56682 [R]. New York, USA: ASME, 2016.
JIN Donghai, LI Minjiang, GUI Xingmin. Numerical design optimization of a high-loaded low-speed axial-flow fan and experimental research [J]. Journal of Propulsion Technology, 2009, 30(6): 696-702.
KHALIL M K, MAHMOUDA S, AL-DADAHA R K, et al. Impact of skin friction, tip clearance and trailing edge losses on small scale cryogenic axial turbine performance: 2016-GT-57843 [R]. New York, USA: ASME, 2016.
SHRAMAN N G, PROF M G. Effect of sweep on performance of an axial compressor with casing grooves: 2016-GT-56045 [R]. New York, USA: ASME, 2016: 90-91.