Study on Aerodynamic Optimization Design of
Transonic Turbine Twist Blade
Song Liming, Li Jun, Feng Zhenping
(Institute of Turbomachinery, Xi'an Jiaotong University, Xi'an 710049, China)
Abstract: A new automatic aerodynamic optimization method combined with the adaptive range
differential evolution (ARDE) , surface modeling method, and the computational fluid
dynamics (CFD) technique, was developed for three-dimensional blade design. A transonic
turbine twist blade was optimized for the maximization of the isentropic efficiency with
18 design variables in total using the present design methodology. The optimum design
blade shows a better aerodynamic performance than that of the reference design. The
isentropic efficiency of the optimum design is 1.1% higher than that of the reference
design. The present method has good performance and can be adopted to the aerodynamic
optimization. The influence of load distribution for transonic turbine blade was also
discussed. The result shows that the front-loaded design for the transonic turbine blade
can reduce the intensity of the oblique shockwave and decrease the shock losses. Thus the
aerodynamic performance can be improved effectively by optimizing the load distribution of
the blade with the variable profile.
Keywords: automatic aerodynamic optimization method; twist blade; transonic; shock loss