面向动力学特性监测的主轴系统数字孪生体

doi:10.3969/j.issn.1004-132X.2020.18.011

摘要/Abstract

摘要： 铣削过程中主轴系统动力学特性随主轴转速和边界条件的改变而发生重构，传统的锤击模态分析驱动方法难以真实反映物理现实。针对该问题，构建了面向动力学特性监测的主轴系统数字孪生体五维模型，探讨了建模方法和运行机制，论述了主轴系统数字孪生体驱动的主轴系统动力学特性监测服务，并将其应用于铣削加工中心主轴系统动力学特性动态监测。实验结果表明，该模型利用主轴系统物理实体与虚拟实体的交互融合，通过监测服务准确获取铣削过程中主轴系统动力学特性，使主轴系统设计改进、运行优化、故障诊断、精准维护成为可能。

关键词: 数字孪生, 主轴系统, 铣削过程, 动力学特性, 监测服务

Abstract: Dynamics characteristics of spindle systems were reconstructed with the changes of spindle speeds and boundary conditions in milling processes, so that the traditional hammer impact experimental modal analysis-driven method was failed to reflect the physical reality. In view of this problem, a five-dimensional model of spindle systems digital twin for dynamics characteristic monitoring was established, the modeling method and operation mechanism were discussed, and the dynamics characteristic monitoring service of spindle system driven by spindle system digital twin was elaborated and it was applied to the dynamics monitoring of spindle systems in milling machining centers. The experimental results show that the model utilizes the interactive fusion of the physical entity and the virtual entity of the spindle systems to accurately obtain the dynamics characteristics of the spindle systems in milling processes through monitoring services, which makes design improvement, operation optimization, fault diagnosis and accurate maintenance of spindle systems possible.

Key words: digital twin, spindle system, milling process, dynamics characteristic, monitoring service

中图分类号:

TH166

谭飏1；张宇2；刘丽冰1；杨泽青1. 面向动力学特性监测的主轴系统数字孪生体[J]. 中国机械工程, DOI: 10.3969/j.issn.1004-132X.2020.18.011.

TAN Yang1；ZHANG Yu2；LIU Libing1；YANG Zeqing1. Spindle System Digital Twin for Dynamics Characteristic Monitoring[J]. China Mechanical Engineering, DOI: 10.3969/j.issn.1004-132X.2020.18.011.

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