混沌特征量识别切削颤振的试验研究

毛汉颖1,刘 畅2,刘永坚2,毛汉领2

振动与冲击 ›› 2015, Vol. 34 ›› Issue (16) : 99-103.

PDF(1391 KB)
PDF(1391 KB)
振动与冲击 ›› 2015, Vol. 34 ›› Issue (16) : 99-103.
论文

混沌特征量识别切削颤振的试验研究

  • 毛汉颖1,刘  畅2,刘永坚2,毛汉领2
作者信息 +

The experimental study on the identification of the cutting chatter on the chaotic characteristics

  • MAO Han-ying1,LIU Chang2,LIU Yong-jian2,MAO Han-ling2
Author information +
文章历史 +

摘要

针对切削颤振具有的非线性,传统信号处理方法不能全面揭示颤振特征及难以识别预报等问题,通过改变切削速度及深度的多组切削试验,获得从平稳切削到颤振状态完整过程的多组振动加速度信号,采用关联维数、最大Lyapunov指数及Kolmogorov熵等分析测试信号的混沌特征。结果表明,三个混沌特征量均能从不同角度较好揭示切削过程从平稳到颤振的变化规律。多混沌特征可能将是识别预报颤振的新方向。

Abstract

Because the cutting chatter is nonlinear, it is difficult to identify and predict the chatter phenomenon with the traditional signal processing method. A number of groups cutting test were designed and made with the different spindle speeds and cutting depths, the vibration acceleration signals for the whole process from stable cutting to chatter were detected. The chaotic characteristics of the signals were analyzed with the Correlation dimension, largest Lyapunov exponent and Kolmogorov entropy. It was demonstrated that the trend of a sharp rise during chatter gestation were revealed by the three chaotic characteristics separately, with the multi chaotic characteristics might be the new direction for the identification and prediction on the cutting chatter.

关键词

切削 / 颤振 / 混沌特征 / 识别

Key words

cutting / chatter / chaotic characteristics / identification

引用本文

导出引用
毛汉颖1,刘 畅2,刘永坚2,毛汉领2. 混沌特征量识别切削颤振的试验研究[J]. 振动与冲击, 2015, 34(16): 99-103
MAO Han-ying1,LIU Chang2,LIU Yong-jian2,MAO Han-ling2. The experimental study on the identification of the cutting chatter on the chaotic characteristics[J]. Journal of Vibration and Shock, 2015, 34(16): 99-103

参考文献

[1] 师汉明.金属切削理论及其应用新探[M].武汉:华中科技大学出版社,2003
[2] 唐英,张大勇.切削颤振研究的关键技术与进展综述[J].工具技术,2011,45(8):9-14
TANG Ying, ZHANG Da-yong.The summary on the key technique for the cutting chatter research[J].The Tools Technology, 2011,45(8):9-14.
[3] Kima S J. Prediction of chatter in NC machining based on a dynamic cutting force model for ball end milling[J]. International Journal of Machine Tools & Manufacture, 2007, 48(47) : 1827-1838.
[4] Cardi A A. Workpiece dynamic analysis and prediction during chatter of turning process[J]. Mechanical Systems and Signal Processing, 2008, 35(22) : 1481- 1494.
[5] Charoen S T. In-process monitoring and detection of chip formation and chatter for CNC turning[J]. Journal of Materials Processing Technology,2009,56(209) :4682-4688.
[6] Tarng Y S. On-line drilling chatter recognition and avoidance using an ART2-A neutral network[J] . Int. J. Mach. Tools Manufacture, 2002, 13(7) : 949-957.
[7] 孔繁森,于骏一,勾治践.颤振状态的模糊识别[J].振动工程学报, 1998,13(3):328- 332.
KONG Fan-sen,YU Jun-yi, GOU Zhi-jian. Fuzzy identification for the chatter status[J].Journal of Vibration Engineering, 1998,13(3):328- 332.
[8] 陈展翼,袁军堂,汪振华,等,高速铣削颤振识别和稳定性预测[J]. 传感器与微系统, 2013, 32(3):59-61.
CHEN Zhan-yi, YUAN Jun-tang,WANG Zhen-hua, et al. Chatter identification and stability prediction for the high speed milling[J].Transducer and Microsystem,2013,32(3): 59-61.
[9] 李峥,刘强.基于切削噪声测试的数控加工颤振识别系统[J].制造技术与机床, 2009 (2):16-18.
LI Zheng, LIU Qiang.The chatter identification system for the digital control processing based on the cutting noise detection[J].Manufacture and Machine Tools, 2009(2):16- 18.
[10]吕凯波,景敏卿,张永强,等.一种切削颤振监测技术的研究与实现[J].西安交通大学学报, 2011, 45(11): 95-99.
LIU Kai-bo,JING Min-qing,ZHANG Yong-qiang,et al.The research and realization of a chatter monitoring technology [J]. Journal of Xi’an Jiaotong University, 2011, 45(11): 95- 99.
[11] Pérez-Canales D,Vela-Martínez L,Carlos Jáuregui-Correa J, et al. Analysis of the entropy randomness index for machining chatter detection[J]. International Journal of Machine Tools and Manufacture, 2012, 62: 39-45.
[12] 吴石,刘献礼,肖飞. 铣削颤振过程中的振动非线性特征试验[J].振动、测试与诊断, 2012, 32(6): 935-940.
WU Shi, LIU Xian-li, XIAO Fei.The test for the nonlinear characteristics on the milling chatter[J].Vibration, Detection and Diagnosis, 2012, 32(6): 935-940.
[13] Wang X S, Hu J, Gao J B. Nonlinear dynamics of regenerative cutting processes-comparison of two models [J]. Chaos, Solitons & Fractals, 2006, 29(5): 1219-1228.
[14] 孔繁森,刘鹏,王晓明. 切削振动加速度时间历程演化过程的动力学特征[J].振动与冲击, 2011,30 (7): 10-15.
KONG Fan-sen, LIU Peng, WANG Xiao-ming. The dynamic characteristics of the vibration acceleration in the cutting[J].Vibration and Shock, 2011,30 (7): 10-15.
[15] 汪慰军,吴昭同.关联维数的计算及其在大机组故障诊断中的应用[J].上海交通大学学报, 2000, 34(9): 1265- 1268
WANG Wei-jun, WU Zhao-tong.The relative dimension calculation and application on the diagnosis of the big power generator[J].Journal of Shanghai Jiaotong University, 2000, 34(9):1265-1268.
[16]张征凯,薛松,张优云.基于特征参数的旋转机械智能故障诊断方法[J].振动、测试与诊断, 2009, 29 (3):256-260.
ZHANG Zheng-kai, XUE Song, ZHANG You-yung.The intelligent diagnosis method for the rotary machine based on the characteristic parameters[J]. Vibration, Detection and Diagnosis, 2009, 29 (3):256-260.
[17] 杨智春,张蕊丽.基于最大李雅普诺夫指数的壁板热颤振特性分析[J].西北工业大学学报, 2009, 27(6): 770-776.
YANG Zhi-chun, ZHANG Rei-li.The chatter analysis of the wallboard based on Lyapunov exponent[J].Journal of Northwest Industry University, 2009, 27(6):770-776.
[18] 余波,李应红,张朴.关联维数和Kolmogorov熵在航空发动机故障诊断中的应用[J].航空动力学报, 2006, 21(1): 219-224.
YU Bo,LI Ying-hong, ZHANG Pu.The application of the relative dimension and Kolmogorov entropy in the diagnosis for the aero-engine[J].Journal of the Aero-Power, 2006, 21(1):219-224.

PDF(1391 KB)

Accesses

Citation

Detail

段落导航
相关文章

/