Chen Qi, Zhou Shaohao, Xiao Yuanfeng, Chen Linfeng, Zhou Yang, Zhang Lihua
College of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya'an, 625014, China.
Sci Rep. 2024 Oct 1;14(1):22860. doi: 10.1038/s41598-024-73640-0.
In addressing the finite element model and actual structural error of the sprayer boom truss, this study aims to achieve high-precision dynamic characteristics, enhance simulation credibility, make informed optimization decisions, and reduce testing costs. The research investigates the dynamic behavior of the sprayer boom truss through modal experiments and finite element simulations. Initially, modal parameters of the sprayer boom are obtained through experimental testing, validating their reasonableness and reliability. Subsequently, Ansys Workbench18.0 simulation software was employed to analyze the finite element model of the sprayer boom, revealing a maximum relative error of 11.93% compared to experimental results. To improve accuracy, a kriging-based response surface model was constructed, and multi-objective parameter adjustments using the MOGA algorithm reduce the maximum relative error to 4.6%. Sensitivity analysis further refines the model by optimizing target parameters, resulting in a maximum relative error of 4.96%. These findings demonstrate the effective enhancement of the corrected finite element model's precision, with the response surface method outperforming sensitivity analysis the maximum relative error between the updated finite element model and experimental results was within the engineering allowable range, confirming the effectiveness of the updated model.
在解决喷雾机喷杆桁架的有限元模型与实际结构误差问题时，本研究旨在实现高精度动态特性，提高仿真可信度，做出明智的优化决策，并降低测试成本。该研究通过模态试验和有限元模拟来研究喷雾机喷杆桁架的动态行为。首先，通过实验测试获得喷雾机喷杆的模态参数，验证其合理性和可靠性。随后，使用Ansys Workbench18.0仿真软件对喷雾机喷杆的有限元模型进行分析，结果表明与实验结果相比最大相对误差为11.93%。为提高精度，构建了基于克里金法的响应面模型，并使用MOGA算法进行多目标参数调整，将最大相对误差降低至4.6%。敏感性分析通过优化目标参数进一步完善模型，使最大相对误差达到4.96%。这些结果表明校正后的有限元模型精度得到有效提高，响应面法优于敏感性分析，更新后的有限元模型与实验结果之间的最大相对误差在工程允许范围内，证实了更新模型的有效性。
