课题基金基金详情
制造/装配信息不确知的精密系统孪生数据馈进设计
结题报告
批准号:
52005081
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
穆晓凯
依托单位:
学科分类:
制造系统与智能化
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
穆晓凯
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中文摘要
精密系统设计过程中,制造/装配信息存在显著的不确知性,不断提高零件精度指标往往仍难以保证装配性能。为实现小试验样本条件下面向装配性能的精确设计,以测试验证机为物理载体,以参数化孪生数据为“桥梁”,提出孪生数据馈进的精密系统设计方法。首先建立几何/物理状态与信息动态一致的孪生数据表征模型,实现物理特征的数字映射;进而研究基于孪生数据的精密系统装配性能预测方法,实现孪生数据与装配性能的关联;结合多阶段间的信息不确知性,提出小试验样本条件下参数化孪生数据模型、孪生数据馈进机制,通过参数化孪生数据“桥梁”与设计信息(向前)、装配性能(向后)的统筹关联,消减多阶段信息不确知性,实现精密系统精确设计;最后结合某飞行器关键系统设计过程进行应用验证。相关研究对于提高小样本精密系统制造、装配合格率具有积极意义。
英文摘要
In the design process of precision system, there are significant uncertainties for manufacturing / assembly information, and it is still difficult to ensure the assembly performance by continuously improving the accuracy index of parts. In order to realize the accurate design of the assembly performance under the condition of small test samples, a precise system design method of twin data feed is proposed, which takes the testing and verifying machine as the physical carrier and parameterized twin data as the "bridge". Firstly, the twin data representation model with the same geometry / physical state and information dynamics is established to realize the digital mapping of physical characteristics; then, the precise system assembly performance prediction method based on the twin data is studied to realize the correlation between twin data and assembly performance; combined with the information uncertainty of multi-stage, the parameterized twin data model and twin data feed mechanism under the condition of small test samples are proposed. Through the overall correlation between the parameterized twin data "bridge" and design information (forward), assembly performance (backward), the multi-stage information uncertainty is reduced to achieve accurate system design. Finally, the application and verification are carried out in combination with the design process of a key system of an aircraft. The relevant research has positive significance for improving the qualified rate of manufacturing and assembly of small sample precision system.
期刊论文列表
专著列表
科研奖励列表
会议论文列表
专利列表
DOI:10.1063/5.0055024
发表时间:2021-06
期刊:AIP Advances
影响因子:1.6
作者:Yunlong Wang;Xiaokai Mu;Cong Yue;Wei Sun;Chong Liu;Qingchao Sun
通讯作者:Yunlong Wang;Xiaokai Mu;Cong Yue;Wei Sun;Chong Liu;Qingchao Sun
DOI:10.1016/j.advengsoft.2022.103158
发表时间:2022-08
期刊:Adv. Eng. Softw.
影响因子:--
作者:Yongliang Yuan;Jianji Ren;Shuo Wang;Zhenxi Wang;Xiaokai Mu;Wu Zhao
通讯作者:Yongliang Yuan;Jianji Ren;Shuo Wang;Zhenxi Wang;Xiaokai Mu;Wu Zhao
DOI:10.1063/5.0158700
发表时间:2023-07
期刊:AIP Advances
影响因子:1.6
作者:Yunlong Wang;Xiaokai Mu;Bo Yuan;Qingchao Sun;Wei Sun
通讯作者:Yunlong Wang;Xiaokai Mu;Bo Yuan;Qingchao Sun;Wei Sun
DOI:10.3390/machines11100970
发表时间:2023-10
期刊:Machines
影响因子:2.6
作者:Yingjie Zhao;Xiaokai Mu;Jian Liu;Qingchao Sun;Ping Zhou;Guozhen Fang
通讯作者:Yingjie Zhao;Xiaokai Mu;Jian Liu;Qingchao Sun;Ping Zhou;Guozhen Fang
A forward modeling method of assembly interface contact characteristics based on user-defined elements
一种基于用户定义单元的装配界面接触特性正向建模方法
DOI:10.1177/09544062221083440
发表时间:2022-04
期刊:Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
影响因子:--
作者:Chao Zhang;Qingchao Sun;Wei Sun;Bo Yuan;Xiaokai Mu
通讯作者:Xiaokai Mu
多不确定因素动态关联下的精密激光传输系统精准装调理论与方法
  • 批准号:
    52375483
  • 项目类别:
    面上项目
  • 资助金额:
    50.00万元
  • 批准年份:
    2023
  • 负责人:
    穆晓凯
  • 依托单位:
国内基金
海外基金