Optimization of Chordal Ultrasonic Flowmeters Design Using a Hybrid Genetic Algorithm
The paper proposes a solution to the relevant scientific and applied problem of optimizing the design of chordal multi-path ultrasonic flowmeters for measuring the flow rate of distorted flows. The object of the study is the integration accuracy of the velocity profile of distorted flows using numerical integration methods. The authors have developed a methodology for searching for the optimal design parameters of chordal multi-path ultrasonic flowmeters (location coordinates and weight coefficients of their acoustic paths) based on a hybrid genetic algorithm.