1results about How to "Good fluid performance" patented technology

A multi-objective optimization method for a two-dimensional pump damping groove based on a GA-BP neural network includes the following steps: S1, establishing design variable parameters in the two-dimensional pump damping groove structure; S2, constructing a simulation model of a two-dimensional piston pump and using this model to simulate and obtain the performance parameters of the hydraulic pump; S3, constructing a GA-BP surrogate model, the process of which is as follows: S31, generating a sample dataset with good parameter space filling performance using Latin hypersquare sampling based on the design variable parameters; S32, establishing a BP neural network model and using a genetic algorithm to optimize and train the model based on the sample dataset, finally obtaining a BP neural network model optimized by the genetic algorithm; S4, using the GA-BP neural network surrogate model as the fitness function, performing multi-objective optimization of the damping groove structure parameter space using a fast non-dominated sorting genetic algorithm to obtain the optimal parameter solution set. This invention significantly improves the comprehensive fluid performance of two-dimensional pumps.