Multi-Objective Optimization of Impact Crusher Rotor Based on Response Surface Methodology

A method of multi-objective optimization is proposed to improve the quality of crushed materials and vibration performance of the rotor. This method is driven by the first order natural frequency and the radius of the rotor. The Central Composite Design (CCD) experiment method is used to guide the selection of appropriate structure finite element analysis samples in design space. The quadratic polynomials are employed to construct response surface (RS) model based on the response outputs of these samples obtained by analyzing the first order natural frequency, the harmonic and mass with the software ANSYS. Well-distributed samples are generated in the design space by shifted Hamersley sampling method. The prominent points are selected by the weighing method as initial samples. The multi-objective genetic algorithm is used to obtain the Pareto optimal solution set. Through the optimization, the first order natural frequency is increased by 5.5%; the radius of the rotor is enlarged by 2.5% and the amplitude of the vibration is decreased by 11% at the position of bearing. At the same time, the rotor mass does not change much. The results show the strong engineering practicability of the proposed method.