[1]KIVANC E B, BUDAK E. Structural Modeling of End Mills for Form Error and Stability Analysis[J]. International Journal of Machine Tools and Manufacture, 2004, 44(11):1151-1161.
[2]ZAGHBANI I, SONGMENE V. Estimation of Machine-tool Dynamic Parameters during Machining Operation through Operational Modal Analysis[J]. International Journal of Machine Tools and Manufacture, 2009, 49(12/13):947-957.
[3]GAGNOL V, BOUZGARROU B C, RAY P, et al. Model-based Chatter Stability Prediction for High-speed Spindles[J]. International Journal of Machine Tools & Manufacture, 2007, 47(7/8):1176-1186.
[4]FAASSEN R P H, WOUW N V D, OOSTERLING J A J, et al. Prediction of Regenerative Chatter by Modelling and Analysis of High-speed Milling[J]. International Journal of Machine Tools & Manufacture, 2003, 43(14):1437-1446.
[5]陶飞,刘蔚然,刘检华,等.数字孪生及其应用探索[J]. 计算机集成制造系统, 2018, 24(1):4-21.
TAO Fei, LIU Weiran, LIU Jianhua, et al. Digital Twin and Its Potential Application Exploration[J]. Computer Integrated Manufacturing Systems, 2018, 24(1):4-21.
[6]GRIEVES M. Digital Twin: Manufacturing Excellence through Virtual Factory Replication[J]. Digtal Twin White Paper, 2014, 1:1-7.
[7]TUEGEL E J, INGRAFFEA A R, EASON T G, et al. Reengineering Aircraft Structural Life Prediction Using a Digital Twin[J]. International Journal of Aerospace Engineering, 2011:154798.
[8]TAO F, ZHANG M. Digital Twin Shop-floor: a New Shop-floor Paradigm Towards Smart Manufacturing[J]. IEEE Access, 2017, 5:20418-20427.
[9]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 Fei, LIU Weiran, ZHANG Meng, et al. Five-dimension Digital Twin Model and Its Ten Applications[J]. Computer Integrated Manufacturing Systems,2019, 25(1):1-18.
[10]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 Huibin, PAN Junlin, ZHANG Jiduo, et al. Digital Twin Model for Cutting Tools in Machining Process[J]. Computer Integrated Manufacturing Systems, 2019,25(6):1474-1480.
[11]刘强.智能制造理论体系架构研究[J].中国机械工程,2020,31(1):24-36.
LIU Qiang. Study on Architecture of Intelligent Manufacturing Theory[J]. China Mechanical Engineering, 2020, 31(1):24-36.
[12]李浩,王昊琪,程颖,等.数据驱动的复杂产品智能服务技术与应用[J].中国机械工程,2020,31(7):757-772.
LI Hao, WANG Haoqi, CHENG Ying, et al. The Technology and Application of Data-driven Intelligent Services for Complex Products[J]. China Mechanical Engineering, 2020,31(7):757-772.
[13]TAO F, ZHANG M, NEE A Y C, et al. Digital Twin Driven Smart Manufacturing[M]. Salt Lake City:Academic Press, 2019:77-79.
[14]LI B, CAI H, MAO X Y, et al. Estimation of CNC Machine-tool Dynamic Parameters Based on Random Cutting Excitation through Operational Modal Analysis[J]. International Journal of Machine Tools and Manufacture, 2013, 71:26-40.
[15]SCHMITZ T L, DAVIES M A, KENNEDY M D. Tool Point Frequency Response Prediction for High-speed Machining by RCSA[J]. Journal of Manufacturing Science and Engineering, 2001, 123(4):700-707.
[16]ÖZ?HIN O , BUDAK E , ÖZGÜVEN H N. In-process Tool Point FRF Identification under Operational Conditions Using Inverse Stability Solution[J]. International Journal of Machine Tools and Manufacture, 2015, 89:64-73. |