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SX325走心式数控车床的静动态特性分析及结构优化

王士强 孙群 颜世格 绳立威 徐隆坤

聊城大学学报(自然科学版)2026,Vol.39Issue(4):508-517,534,11.
聊城大学学报(自然科学版)2026,Vol.39Issue(4):508-517,534,11.DOI:10.19728/j.issn1672-6634.2026010004

SX325走心式数控车床的静动态特性分析及结构优化

Analysis of static and dynamic characteristics and structural optimization of the SX325 swiss-type CNC lathe

王士强 1孙群 1颜世格 2绳立威 2徐隆坤1

作者信息

  • 1. 聊城大学 机械与汽车工程学院,山东 聊城 252059
  • 2. 山东行创精密机械有限公司,山东 聊城 252000
  • 折叠

摘要

Abstract

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%.

关键词

走心式数控车床/有限元分析/静动态特性/结构优化

Key words

swiss-type CNC lathe/finite element analysis static-dynamic characteristics/structural optimi-zation

分类

矿业与冶金

引用本文复制引用

王士强,孙群,颜世格,绳立威,徐隆坤..SX325走心式数控车床的静动态特性分析及结构优化[J].聊城大学学报(自然科学版),2026,39(4):508-517,534,11.

基金项目

山东省科技型中小企业创新能力提升工程项目(2022TSGC2572) (2022TSGC2572)

山东省自然科学基金项目(ZR2024QE464)资助 (ZR2024QE464)

聊城大学学报(自然科学版)

OACHSSCD

1672-6634

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