辽宁工程技术大学学报(自然科学版)2023,Vol.42Issue(5):579-586,8.DOI:10.11956/j.issn.1008-0562.2023.05.009
BFPC机床钢-BFPC结合部动参数识别及仿真方法
Dynamic parameter identification and simulation method of steel-BFPC joint surface of BFPC machine tool
摘要
Abstract
In order to solve the difficult problem of complex analysis of the dynamic performance of steel-BFPC joint surface and establish its simulation model,the identification method of dynamic performance parameter of steel-BFPC joint surface was studied,the influence law of roughness and surface pressure on its dynamic performance was analyzed,and its neural network prediction model was established.The simulation analysis method was established by using equivalent spring-damping unit combined with finite element simulation software.In order to test the accuracy of parameter identification and simulation analysis method,a BFPC machine bed was designed,and its dynamic performance was measured experimentally first,and then finite element simulation was used to study the modal performance of BFPC bed with different spring-damping unit layouts and determine its optimal layout,and then determine the frequency response simulation performance of BFPC bed with optimal spring-damping unit layout.The maximum relative error of inherent frequency is 5.17%,and the maximum relative error of acceleration frequency response curve amplitude is 8.96%.The research results show that the identification method of dynamic performance parameters of steel-BFPC joint surface and its simulation analysis method are effective and accurate.The research conclusion provides a theoretical basis for steel-BFPC joint surface performance analysis and its virtual simulation.关键词
钢-BFPC结合部/弹簧-阻尼单元/模态性能/频响特性Key words
steel-BFPC joint surface/spring-damped unit/modal properties/frequency response characteristics分类
机械制造引用本文复制引用
沈佳兴,潘子豪,徐平..BFPC机床钢-BFPC结合部动参数识别及仿真方法[J].辽宁工程技术大学学报(自然科学版),2023,42(5):579-586,8.基金项目
国家自然科学基金项目(52005238,51375219) (52005238,51375219)
辽宁省教育厅科研项目(LJ2019JL030) (LJ2019JL030)
辽宁省科技厅博士启动基金项目(2020-BS-256) (2020-BS-256)