摘要
以阶梯型龙门架为研究对象,提出先改变龙门架内部筋板形状,再用玄武岩纤维树脂混凝土(basalt fiber reinforced polymer concrete,BFPC)填充内部部分区域,以提高机床加工精度和结构稳定性。建立龙门架有限元模型,先对原灰铸铁龙门架进行静动态分析,发现其薄弱区域,为后续BFPC填充机床龙门架提供依据。其次改变龙门架内部筋板,并减小龙门架壁厚,利用BFPC填充靠近薄弱区域的位置。通过灵敏度分析建立响应面模型,选取龙门架最大总变形量、质量和一阶固有频率作为优化目标,利用多目标遗传算法得到三组最优解集。仿真结果表明,优化前后对比,龙门架最大总变形减小5.52%,质量减小4.80%,一阶固有频率增加11.74%。该方法使得龙门架静动态性能显著提高,达到了轻量化的目的,可为龙门架优化设计提供参考。
Taking a stepped gantry frame as the research object,this study proposes an optimization approach to first modify the internal rib structure and subsequently fill partial regions with basalt fiber reinforced polymer concrete(BFPC),so as to enhance machining accuracy and structural stability.A finite element model of the gantry frame was established to conduct static and dynamic analyses on the original gray cast iron structure.The revealing of its vulnerable zones provides theoretical basis for subsequent BFPC reinforcement.The optimization process involved reshaping internal ribs,reducing wall thickness,and strategically filling BFPC in critical areas near identified weak regions.Through sensitivity analysis,a response surface model was developed with three optimization objectives:to minimize maximum total deformation,to reduce mass,and to increase first-order natural frequency.A multi-objective genetic algorithm yielded three optimal solution sets.Simulation results demonstrate significant improvements compared to the original design:5.52%reduction in maximum total deformation,4.80%mass reduction,and 11.74%enhancement in first-order natural frequency.This methodology effectively improves both static and dynamic performance while achieving lightweight objectives,offering valuable insights for gantry frame optimization design.
作者
张涛
胥云
廖海林
张文露
ZHANG Tao;XU Yun;LIAO Hailin;ZHANG Wenlu(School of Mechanical Engineering,Sichuan University of Science and Engineering,Yibin 644000,China)
出处
《机械》
2025年第12期9-16,共8页
Machinery
基金
四川省自贡市科技局项目——航空五轴桥式龙门化工装备研制(2022CDZG-19)。
