Research on Multiobjective Optimization of Bulb Tubular Turbine Based on Orthogonal Test

Abstract

The bulb tubular unit has advantages over other units in the low head, large discharge, and tidal energy. The development and utilization of low head and ultralow head hydraulic resources can increase the runner’s energy parameters, make up for the defects of large size and low speed of the unit, and reduce the construction investment. The bulb tubular turbine’s operation stability and structural strength are compared and analyzed by the orthogonal test method to improve the perfomance of bulb tubular turbine. The results show that the optimal design scheme can be obtained when the number of guide vane is 16, the distance between the guide vane and the blade is 1995 mm, the hub ratio is 0.31, the relative twist angle of the blade is 27°, and the cascade density is 0.72. After optimization, the bulb tubular turbine’s efficiency and output are increased by 5.72% and 2.86% at a low flow rate, respectively. The vortex at the tailpipe is reduced, and the blade work effect and the cavitation performance are well. The maximum pressure pulsation amplitude in the flow passage is reduced by 73.15%, the maximum blade deformation is reduced by 39.59%, and the maximum blade static stress is reduced by 13.16%. Finally, the reliability of numerical simulation results is verified by the model test.

Orthogonal Experiments and Neural Networks Analysis of Concrete Performance

“…Industrial researchers often use two-level factorials as their first attempt at DOE [7][8][9]. These designs include all combinations of each factor at their high and low levels.…”

Optimization of AlCrSiWN Coating Process Parameters and Performance Study by the Matrix Analysis Method

“…Therefore, optimization of the coating process parameters is essential to obtain excellent coating performance. When conducting multi-factor experiments to explore the optimal process parameters [ 20 ], process optimization is usually carried out using the orthogonal experimental method [ 21 ], which can extract key information from a small number of experiments, has high efficiency and is simple and easy to implement [ 22 ]. The matrix analysis method is used to calculate and analyze the results to obtain the degree of influence of each factor on the results, and the best solution is achieved by controlling the main influencing factors.…”