Uncertainty Analysis and Optimization of Structural Parameters in Grain Silo Induced Draft Fan
The operational performance of the induced draft fan in grain silos significantly influences the quality of the grain storage environment,directly affecting the safety and preservation of stored grain.This study introduces a struc-tural parameter optimization strategy to enhance the performance of the grain silo induced draft fan through precise improvements in its structural parameters.Employing modal analysis and substructure division,this research establi-shes a simplified uncertainty optimization model based on parameter interval characterization for key substructures.It utilizes stochastic finite element analysis and correlation analysis to identify the critical parameters affecting natural frequencies.Through response surface analysis,the study achieves fine-tuning of parameters,with the optimization goal being to maximize the gap between critical natural frequencies and operational frequencies,thereby avoiding the emergence of new resonance points.Under real-world conditions,the optimized induced draft fan demonstrates lower vibration levels,significantly enhancing the equipment's operational stability and service life,thereby proving the ef-fectiveness and economic benefits of the optimization strategy.This method offers a new avenue for enhancing the per-formance of mechanical equipment.
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