Reliability Based Particle Swarm Optimization for Obtaining Optimal Dimensions of Boom Crane Lifting Mechanism

Abstract

Articulated Mobile Cranes are specially designed systems intended for lifting and transporting loads of varying weights and dimensions. The physical dimensions of these systems may vary depending on their field of application and specific technical requirements. Such variations can have significant impacts on both lifting capacity and operational speed. Dimensional changes may lead to undesirable deviations within the safety limits established during the design phase. Therefore, in order to optimize the dimensions of these mechanisms, the statistical nature of manufacturing and measurement errors must be carefully assessed. In this study, the dimensional optimization of crane boom lifting mechanisms was performed based on reliability analysis by combining Monte Carlo Simulation with the Particle Swarm Optimization method to determine the optimal mechanism dimensions. According to the results obtained, it was found that the lambda values for different operating modes are primarily influenced by the geometric parameter (i ) and, to a lesser extent, by the cylinder speed (vc). Depending on the selected parameters, the lambda value was observed to vary between 0.35 and 0.55.