Crushing Force Identification Of Hydraulic Cone Crusher And Structural Optimization Of Key Component

Hydraulic cone crushers are widely used as important equipment for industrial processing. It is necessary to identify the crushing force accurately, which affect the work performance of the whole device and make an important part for the dynamic performance analysis of the whole machine; it is also significant for the wear and life prediction of key parts. In addition, the structure optimization of the key components of the cone crusher has obvious effect on improving the performance of the equipment and the service life.In this thesis, the main research contents include the following aspects: The contact transfer of the load path is considered. The finite element model of the whole machine is established according to the general principles of model simplification and element selection, after those setting reasonable constraints, boundary conditions, load conditions and the connection between sub components. The general process and method of vibration signal analysis and processing are briefly introduced. Using OROS signal acquisition equipment to complete the acceleration signal collection, based on Turn Method and Short Time Fourier Transform completed the signal stability test and time-frequency analysis. Designing filter to complete the signal Band Pass Filter and vibration signal processing in time domain. Using the acceleration signal of different working conditions and the finite element model to complete the fitting of crushing force calculation formula and the identification of time domain signal of crushing force, which is a new method of crushing force identification. Comparing with power method so as to prove the rationality and accuracy of the method that used in this paper, then according to the identification of the crushing force to determine the motion characteristics of the system. Establishing the response surface model that between the design parameters and the objective function, the maximum Von Mises stress in the main shaft bushing and the eccentric bushing is optimized by using Genetic Algorithm and Particle Swarm Optimization Algorithm design method on the response surface model. Comparing with the results of the finite element model to demonstrate the feasibility of this method for structural optimization design in large equipment. Finally, using the linear weighting method to realize the multi-objective optimization design of the main shaft bushing and the eccentric bushing.