Dynamic optimization research of crank-rocker mechanism considering hinge clearance and flexible components
SUN Changlin
LIU Qiang
MA Fusheng
LI Xiao
Abstract：[Objective]Hinge clearances and flexible components significantly affect the dynamic characteristics of mechanical systems,yet relevant optimization studies remain limited.To address this,an improved adaptive Kriging surrogate model combined with an artificial fish swarm algorithm was proposed for dynamic optimization of crank-rocker mechanisms involving hinge clearances and flexible components,aiming to enhance the motion stability and overall performance of the mechanisms.[Methods]Firstly,mathematical models of hinge clearances and flexible rod elements were constructed,and a dynamic model of the crank-rocker mechanism with hinge clearances and flexible components was established based on Lagrange's method.Secondly,an improved adaptive Kriging model was developed using two enhancement strategies:kernel function weighted combination and local nonlinearity enhancement,to improve the model's predictive capability for complex nonlinear systems.Finally,with the goal of minimizing the maximum contact force at clearances,a surrogate model between mass parameters and maximum contact force was built using the improved adaptive Kriging model,and the artificial fish swarm algorithm was applied to optimize mass parameters,obtaining the optimal parameter combination of the mechanism.[Results]The research show that the proposed optimization method effectively reduces the maximum contact force at hinge clearances,and the improved Kriging model outperforms traditional methods in terms of prediction accuracy and computational efficiency.
Keywords：Hinge clearanceFlexible componentDynamic optimizationAdaptive Kriging modelArtificial fish swarm algorithm
Publication Date：2026-05-31
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：8( 170-177 )