Optimization Design of Vibration Reduction Structure of Driving Sprocket Based on Niche Adaptive Genetic Algorithm

Abstract

To improve the damping performance of driving sprocket of crawler construction vehicle, this paper replaces the tubular constraint ``double damping layer'' structure (TCDDS) with a ``damping layer + stand-off-layer'' structure, and the dynamics analysis of the structure is carried out under multiple working conditions. By analyzing the dynamic performance of the vibration damping structure under different working conditions, the optimal laying position of the damping layer and the stand-off-layer is discussed. Furthermore, under the condition that the total thickness of the tubular stand-off-layer sandwiched structure(TSSS) remains constant and both the stand-off- layer and damping layer do not exceed the allowable stress and strain, the energy loss ratio per unit period is taken as the optimization goal, and based on niche-adaptive genetic algorithm, the design variables(thickness of base layer, constraint layer, stand-off-layer and damping layer, material elastic modulus and loss factor of stand-off-layer and damping layer) are optimized by ANSYS and MATLAB. The optimization results show that the maximum displacement and stress of the damping layer and stand-off-layer of the structure after optimization are greatly reduced compared with those before optimization, the maximum strain increases from 15.35% to 22.55%, and the energy loss ratio increases from 0.2914 to 0.5418, which improves the vibration reduction effect of the structure. The theories and methods of this paper can provide a certain reference for the vibration damping design of heavy-duty crawler vehicles, and have a certain reference value for the application of genetic algorithm optimization in the structural design of construction vehicles.