Calibration and Validation of Flow Parameters of Irregular Gravel Particles Based on the Multi-Response Concept

The discrete element method (DEM) often uses the angle of repose to study microscopic parameters particles. This paper proposes a multi-objective optimization combining realistic modeling particles and image analysis calibrate gravel parameters, after obtaining actual static (αAoR_S) dynamic (βAoR_D) by physical tests. design variables were obtained Latin hypercube sampling (LHS), radial basis function (RBF) surrogate model was used establish relationship between objective variables. optimized non-dominated sorting genetic algorithm II (NSGA-II) with measurements optimize obtain best combination parameters. Finally, parameter set validated hollow cylinder test, relative error validation test simulation results only 3.26%. result indicates that can be reliably applied calibration process flow irregular development solid–liquid two-phase wear behavior centrifugal pumps investigated using set. show increase in cumulative tangential contact forces inside volute makes it component most likely develop behavior. also illustrate significant meaning accurate application for improving efficient production industrial scenarios.