A multi-condition multi-objective optimization design method for hydraulic turbine impellers

Abstract

The invention relates to the field of optimum designs of hydraulic machinery and in particular to a multi-station multi-target optimum design method of a hydraulic turbine wheel. The method has the beneficial effects that a training BP neural network optimizing algorithm is established and an approximate prediction model is updated, CFD calculation of a large load is reduced, and a sufficient prediction precision is obtained by means of calculation of fewer times. The BP neural network optimizing algorithm and the NSGA-II multi-target genetic algorithm are organically combined to consider the diversity of populations while the optimal solution is continuously searched for in the whole algorithm, and the precision is enhanced. By means of optimization solution of the turbine wheel by means of the NSGA-II multi-target genetic algorithm, the problems that traditional design and model selection of the hydraulic turbine wheel are difficult and the hydraulic turbine wheel is likely to vibrate, instable in power output, relatively low in efficiency to a great extent and the like when the optimal station is deviated are solved, and the turbine efficiency, the axial force and the radial force are considered, so that the turbine operating ability can be effectively improved.

Description

technical field [0001] The patent of the present invention relates to the field of optimal design of hydraulic machinery, in particular to a multi-working-condition and multi-objective optimal design method for hydraulic turbine impellers. Background technique [0002] A hydraulic turbine is a mechanical device that converts the pressure energy in a liquid fluid working medium into mechanical energy. Using a hydraulic turbine, the residual pressure of the liquid in the process can be recovered and reused, and converted into mechanical energy to drive mechanical equipment. It is a kind of energy The recovery unit is currently widely used in petrochemical hydrocracking, large-scale synthetic ammonia and seawater desalination and other fields. Technically, if there is 20KW recovered energy, it can be recovered and reused with a hydraulic turbine. Energy recovery hydraulic turbine technology and its application are of great significance to energy saving and emission reduction. ...

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Problems solved by technology

[0005] In order to solve the difficulties in the traditional design and selection of hydraulic turbine impellers, as well as the vibration, unstable power output, and low efficiency that are likely to occur when the hydraulic turbine deviates from the optimal working condition, the patent of the present invention provides a A multi-working-condition multi-objective optimization design method for a hydraulic turbine impeller, the purpose of which is to improve the working efficiency of the hydraulic turbine and the operation stability of the partial working condition point

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