SX325走心式数控车床的静动态特性分析及结构优化OACHSSCD
Analysis of static and dynamic characteristics and structural optimization of the SX325 swiss-type CNC lathe
以SX325走心式数控车床为研究对象,基于ANSYS Workbench平台开展系统性分析.首先,建立走心机有限元模型,并完成车削、铣削及钻削工况下的切削力计算.基于静态仿真,获取了整机在三种典型加工状态的位移分布与应力分布云图,通过模态仿真,识别了整机的前6阶固有频率及其主要振型.最终,结合静力学和动力学特性的分析结果,确定了机床薄弱环节为刀具台、Y1轴滑板与X2轴滑板.基于响应面优化方法对X2滑板进行结构优化,使其质量、最大变形、最大应力分别下降了5.27%、0.96%、6.13%,使一阶固有频率提升了3.12%.通过在刀具台的载荷传递和振动影响关键部位添加三处加强筋进行优化设计,使最大变形和最大应力分别减少了6.04%、1.69%,使一阶固有频率提高了2.83%.计,使最大变形和最大应力分别减少了6.04%、1.69%,使一阶固有频率提高了2.83%.
This study focuses on the SX325 sliding-headstock CNC lathe,with systematic analysis conduc-ted on the ANSYS Workbench platform.A finite element model of the machine was established,and cut-ting forces under turning,milling,and drilling conditions were calculated.Static simulation was per-formed to obtain contour plots of displacement and stress distribution for the entire machine under three typical machining states.Modal analysis identified the first six natural frequencies and corresponding dom-inant mode shapes of the machine.By integrating static and dynamic characteristic analysis,weak struc-tural areas were identified,including the tool post,the Y1-axis slide,and the X2-axis slide.Structural op-timization of the X2 slide was carried out using response surface methodology,resulting in a 5.27%reduc-tion in mass,a 0.96%decrease in maximum deformation,a 6.13%reduction in maximum stress,and a 3.12%increase in the first natural frequency.Furthermore,three stiffening ribs were added to key areas of the tool post—specifically,at load transfer paths and vibration-sensitive locations—to enhance its de-sign.This modification reduced maximum deformation by 6.04%,lowered maximum stress by 1.69%,and increased the first natural frequency by 2.83%.
王士强;孙群;颜世格;绳立威;徐隆坤
聊城大学 机械与汽车工程学院,山东 聊城 252059聊城大学 机械与汽车工程学院,山东 聊城 252059山东行创精密机械有限公司,山东 聊城 252000山东行创精密机械有限公司,山东 聊城 252000聊城大学 机械与汽车工程学院,山东 聊城 252059
矿业与冶金
走心式数控车床有限元分析静动态特性结构优化
swiss-type CNC lathefinite element analysis static-dynamic characteristicsstructural optimi-zation
《聊城大学学报(自然科学版)》 2026 (4)
508-517,534,11
山东省科技型中小企业创新能力提升工程项目(2022TSGC2572)山东省自然科学基金项目(ZR2024QE464)资助
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