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基于多频拓扑优化的深孔机床床身动态分析
  • ISSN号:1006-2343
  • 期刊名称:《机械设计与研究》
  • 时间:0
  • 分类:TH122[机械工程—机械设计及理论]
  • 作者机构:[1]中北大学机械与动力工程学院,太原030051, [2]山西省深孔加工工程技术研究中心,太原030051
  • 相关基金:国家自然科学基金资助项目(51175482);国家国际科技合作专项项目(2013DFA70770);山西省回国留学人员科研资助项目(2014050)
中文摘要:

为了提高深孔钻床床身的抗振性并减轻重量,将多频拓扑优化技术引入床身的结构设计,对其进行了动态特性研究。首先利用ANSYS有限元分析软件对原床身结构进行了模态分析,识别出床身结构的薄弱设计;其次,以床身的前三阶固有频率最大化为目标函数,以床身质量为约束条件,对床身进行多频拓扑优化;在此基础上,根据密度云图所示材料分布,对床身筋板进行重构设计;最后,对优化前后的床身进行谐响应分析,对其动态性能进行了验证。结果表明:优化后床身的前三阶固有频率显著提高,同时质量也下降了4.08%,从而达到了提高其动态性能和减重的优化目标。

英文摘要:

In order to improve the vibration resistance of deep hole drilling machine lathe bed and reduce its weight, the multiple frequencies topology optimization was introduced to the structural design of lathe bed and the dynamic characteristics of lathe bed were researched. Firstly, the modal analysis of lathe bed structure was studied by ANSYS software and the structure weak design of the lathe bed was identified. Secondly, The original structure of lathe bed, by taking the maximized first three natural frequencies as the objective function and mass of lathe bed as the constraint condition, was analyzed by the multiple frequencies topology optimization. And then, according to the density contours used to show the materials division, rib plates of lathe bed were redesigned. Finally, the original structure of lathe bed and optimal one were analyzed by harmonic response, which can be used to verify its dynamic performance. From the optimization results, the first three natural frequencies of the optimal lathe bed have been significantly improved, meanwhile its overall weight is decreased by 4.08%. That is to say, the optimization goal of improving the dynamic performance and reducing weight is realized.

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期刊信息
  • 《机械设计与研究》
  • 北大核心期刊(2011版)
  • 主管单位:上海市科学技术协会
  • 主办单位:上海交通大学
  • 主编:邹慧君
  • 地址:上海市华山路1954号(上海交通大学内)
  • 邮编:200030
  • 邮箱:jofmdr@126.com
  • 电话:021-62932023
  • 国际标准刊号:ISSN:1006-2343
  • 国内统一刊号:ISSN:31-1382/TH
  • 邮发代号:4-577
  • 获奖情况:
  • 全国中文核心期刊,中国科技论文统计用刊
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:9239