Reliability Analysis and Optimization of Corn Threshing Drum Based on Kriging Approximation Model

The reliability of the corn threshing drum is optimized using the Kriging approximation model to address issues of higher mass and susceptibility to resonance during operation.

Firstly, a finite element model of the drum is established and static and modal analyses are performed to obtain preliminary data. Secondly, the wall thickness of the drum and the inner diameter of the width disc are taken as the design variables, and the minimum mass of the drum and the maximum of the first- and second-order intrinsic frequencies are taken as the optimization objectives. In order to improve the optimization efficiency, the drum Kriging approximation model is constructed and accuracy check is performed to ensure its accuracy. Then, multi-objective optimization is carried out by genetic algorithm to solve for the Pareto optimal solution set. After determining the final design scheme from the solution set, finite element analysis is carried out again to verify the feasibility and optimization effect of the design scheme.

Results indicate a 15.8% increase in the first-order modal frequency, a 10.95% increase in the second-order modal frequency, and a 16.5% reduction in mass post-optimization, thus improving threshing drum modal characteristics and achieving lightweighting.

Overall, this work confirms that optimizing the reliability of maize threshing drums by establishing a Kriging approximation model and invoking a genetic algorithm for multi-objective optimization of the drums to solve the problem of optimizing the reliability of maize threshing drums due to the larger mass problem and the sensitivity to resonance during operation provides an important reference for subsequent design and production.