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To improve the power generation efficiency, the parameters matching analysis method for the downhole generator with asymmetric turbine is established on basis of the experimental design theory, response surface methodology and orthogonal experimental design. Firstly, according to the theoretical analysis, the computational domain model is built by the three-dimensional modeling software. Based on the calculation results by Computational Fluid Dynamics (CFD), the blade parameters of stator and rotor which affect the objective function a lot are screened out by the single-factor experimental design. Then, to get the optimal design results, these parameters are analyzed and determined by the Box-Behnken design and response surface methodology. Once the approximation model of objective function is constructed, the interplay between these parameters is discussed in this paper. Furthermore, the secondary factors are analyzed to obtain the more reasonable matching by orthogonal experimental method. Finally, the experimental study is conducted on the optimal design point of the new asymmetric turbine. The results show that CFD simulations are in good accordance with the calculations based on response surface method. The relative error of experimental value is smaller compared with the predictive value, and the trends of performance curves are almost the same. What’s more, the efficiency of new asymmetric turbine increases by 10 % after optimizing matching. It declares that the design method based on Box-Behnken and the orthogonal design experiments can be used in the matching analysis of asymmetric turbine’s parameters. The research in this paper provides reliable guidance in turbine blade design and technological parameters optimizing.

Parameters matching analysis of the stator and rotor for downhole asymmetric turbine generator