欢迎访问《轻工机械》稿件在线采编系统!设为首页 | 加入收藏    
信息公告:  
文章检索:
稿件处理系统
期刊信息
  • 中国标准连:ISSN1005-2895
  • 续出版物号: CN 33-1180/TH
  • 主管单位:轻工业杭州机电设计研究院有限公司
  • 主办单位:轻工业杭州机电设计研究院有限公司、中国轻工机械协会、中国轻工业机械总公司
  • 社  长:刘安江
  • 主  编:黄丽珍
  • 地  址:杭州市余杭区高教路970号西溪联合科技广场4-711
  • 电子邮件:qgjxzz@126.com
理事单位          MORE>>
郑乐1,2, 邹光明1,2*, 文陈杨2.基于响应面法的地震仪调整平台结构优化[J].轻工机械,2023,41(2):85-92
基于响应面法的地震仪调整平台结构优化
Structural Optimization of Seismometer Adjustment Platform Based on Response Surface Method
  
DOI:10.3969/j.issn.1005 2895.2023.02.013
中文关键词:  地震仪调整平台  敏感度分析  二次多项式响应面法  MOGA遗传算
英文关键词:seismograph adjustment platform  sensitivity analysis  quadratic polynomial response surface method  MOGA genetic algorithm
基金项目:
作者单位
郑乐1,2, 邹光明1,2*, 文陈杨2 1.武汉科技大学 冶金装备及其控制省部共建教育部重点实验室 湖北 武汉430081  2.武汉科技大学 机械传动与制造工程湖北省重点实验室 湖北 武汉430081 
摘要点击次数: 128
全文下载次数: 102
中文摘要:
      为便于实现地震仪调整平台的无人化安装及其水平度的调节,课题组采用响应面法对调整平台进行结构轻量化的设计。在对地震仪调整平台进行静力学分析以及结构参数化基础上,借助参数敏感度分析获得影响其质量、最大等效应力和最大位移形变的关键参数;利用二次多项式响应面法对调整平台进行相关响应面拟合;并采用 MOGA遗传算法全局寻优;对优化前后的调整平台各指标进行对比分析。结果表明:优化后最大等效应力降低41%、薄弱方向的最大位移形变下降56%,同时质量降低了12.8%。该响应面优化设计不仅达到轻量化的效果,又提升了装置刚度和强度。
英文摘要:
      In order to easily implement the unmanned installation and levelness adjustment of the seismograph adjustment platform, a response surface optimization method for the lightweight of the adjustment platform structure was adopted. Based on the statics analysis and structural parameterization of the seismograph adjustment platform, the key parameters affecting its mass, maximum equivalent stress and maximum displacement deformation were obtained with the aid of parameter sensitivity analysis. The quadratic polynomial response surface method was used to adjust the platform to the response surface fitting, and MOGA genetic algorithm was used for global optimization. A comparative analysis of the indicators of the adjustment platform before and after optimization was carried out. The results show that the maximum equivalent stress is reduced by 41%, the maximum displacement deformation in the weak direction is reduced by 56%, and the mass is reduced by 12.8%. This response surface optimization design not only achieves the effect of weight reduction, but also improves the stiffness and strength of the device.
查看全文  查看/发表评论  下载PDF阅读器
关闭