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数控机床作为机械制造业中先进加工设备，由于设备复杂造价昂贵，其状态监测尤为重要。本文结合数字孪生技术，以LG Mazak数控机床为研究对象，建立了机床的三维模型，基于Uniyt3D软件构建了数控机床数字孪生系统。首先明确了数字孪生系统的五维架构；其次分析了搭建数字孪生系统的关键技术和功能设定，搭建了包括车间漫游、数据可视化、切削过程仿真、刀具碰撞预警、数据查询系统等功能在内的服务平台；最后完成了系统各功能模块进行集成。本系统为数控机床虚实交互操作和数据可视化提供新思路，同时对数控机床操作培训提供便利。
Abstract：Numerical control machine tool is the advanced processing equipment in machinery manufacturing industry, because the equipment is complex and expensive, its condition monitoring is particularly important. In this paper, a 3D model of LG Mazak computer numerical control(CNC) machine tool is established by combining digital twinning technology, and a digital twinning system of CNC machine tool is constructed based on Uniyt3D software. Firstly, the five-dimensional architecture of the digital twin system is defined. Secondly, the key technologies and functional settings of the digital twin system were analyzed, and a service platform including workshop roaming, data visualization, cutting process simulation, tool collision warning, data query system and other functions was built. Finally, the functional modules of the system are integrated. This system provides new ideas for virtual and real interactive operation and data visualization of CNC machine tools, and provides convenience for operation training of NC machine tools.
[1]王进峰，问丛川，花广如，等.面向概念技术与应用的数字孪生综述[J].中国工程机械学报，2023,21(2):112-116,113.WANG J F,WEN C C,HUA G R,et al. A survey of digittal twins for concept,technology and application[J]. Chinese Journal of Construction Machinery,2023,21(2):112-116,113.
[2]戴晴华，易迪升，田文胜，等.虚拟制造技术及其在工程机械中的应用[J].中国工程机械学报，2010,8(2):184-189.DAI Q H,YI D S,TIAN W S,et al. Virtual manufacturing technology and its application in construction machinery[J]. Chinese Journal of Construction Machinery,2010,8(2):184-189.
[3]陶飞，刘蔚然，张萌，等.数字孪生五维模型及十大领域应用[J].计算机集成制造系统，2019,25(1):1-18.TAO F,LIU W R,ZHANG M,et al. Digital twin fivedimensional model and ten domain applications[J].Computer Integrated Manufacturing Systems,2019,25(1):1-18.
[4]孙惠斌，潘军林，张纪铎，等.面向切削过程的刀具数字孪生模型[J].计算机集成制造系统，2019,25(6):1474-1480.SUN H B,PAN J L,ZHANG J D,et al. Digital twin model for cutting process-oriented tools[J]. Computer Integrated Manufacturing Systems,2019,25(6):1474-1480.
[5]张南，张顺，刘利勋，等.基于数字孪生的车间生产过程监控方法[J].组合机床与自动化加工技术，2022(7):156-159.ZHANG N,ZHANG S,LIU L X,et al. A digital twin-based approach to monitoring production processes on the shop floor[J]. Combined machine tool and automatic machining technology,2022(7):156-159.
[6]骆伟超.基于Digital Twin的数控机床预测性维护关键技术研究[D].济南：山东大学，2020.LUO W C. Digital Twin-based CNC machine tool predictive maintenance key technology research[D].Jinan:Shandong University,2020.
[7]李聪波，孙鑫，侯晓博，等.数字孪生驱动的数控铣削刀具磨损在线监测方法[J].中国机械工程，2022,33(1):78-87.LI C B,SUN X,HOU X B,et al. Digital twin-driven online monitoring method for CNC milling tool wear[J]. China Mechanical Engineering,2022,33(1):78-87.
[8]殷民艇，董磊，张星，等.基于Unity3D的机床加工系统设计与实现[J].制造技术与机床，2022(5):164-168.YIN M T,DONG L,ZHANG X,et al. Design and implementation of Unity3D-based machine tool machining system[J]. Manufacturing Technology&Machine Tool,2022(5):164-168.
[9]刘明浩，岳彩旭，夏伟，等.基于数字孪生的铣刀状态实时监控研究[J/OL].计算机集成制造系统[2022-08-30]. http：//kns. cnki. net/kcms/detail/11. 5946. TP. 20220725. 1410. 002.html.LIU M H,YUE C X,XIA W,et al. Real-time monitoring of milling tool state based on digital twin[J/OL]. Computer Integrated Manufacturing Systems[2022-08-30]. http：//kns.cnki. net/kcms/detail/11. 5946. TP. 20220725. 1410. 002.html.
[10]江雪梅，袁子航，娄平，等.一种基于数字孪生的重型数控机床碰撞检测方法[J/OL].中国机械工程[2022-08-30].http：//kns. cnki. net/kcms/detail/42. 1294. TH. 20211221.2101. 010. html.JIANG X M,YUAN Z H,LOU P,et al. A digital twinbased collision detection method for heavy-duty CNC machine tools[J/OL]. China Mechanical Engineering[2022-08-30]. http：//kns. cnki. net/kcms/detail/42. 1294.TH. 20211221. 2101. 010. html.
基本信息:
DOI：10.15999/j.cnki.311926.2023.05.001
中图分类号:TG659
引用信息:
[1]王进峰,问丛川,花广如,等.基于Unity3D的数控机床数字孪生系统设计与实现[J].中国工程机械学报,2023,21(05):443-448.DOI:10.15999/j.cnki.311926.2023.05.001.
基金信息:
国家自然科学基金资助项目（51301068）; 河北省自然科学基金资助项目（E2019502060）
2023-10-15
2023-10-15