Feasibility analysis and realization of a three-dimensional aerodynamic optimization design for a multi-stage turbine

Due to the massive computation load and time as well as an excessively huge variable-sample database space specific to the three-dimensional aerodynamic optimization design of a multi-stage turbine, a long design cycle often results, which is difficult to cope with effectively in practice. With the development of computer software and hardware the computation ability of computers has seen a dramatic improvement. As a result, an effective integration of varied design methods has been implemented. A vigorous development of the three-dimensional aerodynamic optimization-design study of a multistage turbine, which combines a traditional design method with that of a modern automatic optimization design, represents an effective approach for overcoming the above-mentioned difficulties and realizing an optimization design of the turbine in question. The feasibility for combining a quasi-three-dimensional design with the multi-stage local optimization to realize a three-dimensional design of the turbine was analyzed with the aerodynamic optimization design process of the turbine being given. The quasi-three-dimensional design mainly involves a direct problem computation of stream surface S2. Based on the design in question, a preliminary design was performed for improving performance and determining the overall parameters, thus setting the stage for a further optimization design. Then, by employing a multi-stage local optimized design and process, Numeca/design 3D software was used. By an optimized joint employment of an artificial neural network and a genetic algorithm, the general performance can be enhanced by way of an increase in localized performance. The flow field thus involved was calculated by seeking a solution for the full three-dimensional viscous flow N-S equation. Moreover, the authors have verified the feasibility of the method under discussion with a three-stage turbine and a four-stage one serving as examples.