[1]
Juan, Xu Honghai, Yuan Haiqiang. Cutting force measurement technology status and development trend analysis [J]. Wuhan: Modern-commerce industry, 2007. 6, 6 (19) : 180-181.
Google Scholar
[2]
Wuchang Zhong, Sun selection, Li Guoping, Hu Shiliang. Signal line monitoring of cutting machine tools research [J]. Beijing: Science and Technology Innovation Herald newspaper, 2009, 27: 05-05.
Google Scholar
[3]
Zheng Jinxing, Zhang Jun, MENG Qing-xin. Multi-sensor data fusion technology in tool condition monitoring application [J]. Harbin: Sensors and Microsystems, 2007, 4 (26) : 90-93.
Google Scholar
[4]
Jian-Ming Zheng, Li Yan, Li Pengyang, Hong Wei, Xiao Jiming, Yuan Qilong based on cutting force signal in time domain frequency domain integration of tool wear monitoring [J]. Guiyang: Machinery & Electronics, 2001, 3: 46-48.
Google Scholar
[5]
Chen Xingwen, Liu Yan. DSP-based machine tool cutting force signal line monitoring [J]. Beijing: Chinese core journals, 2005, 4 (21) : 94-95.
Google Scholar
[6]
Fan Ning, Guo Pei Quan, Wang Hui, Gao Hui. The process of cutting tool wear characteristics of the spectrum [J]. Dalian: Machine Tool & Automatic Manufacturing Technique, 2008, 5: 69-71.
Google Scholar
[7]
Wu Xuezhong, Sheng-Yi Li. Multi-sensor based tool condition monitoring system [J]. Nanjing: data acquisition and processing, 1999. 6, 2 (14) : 200-203.
Google Scholar
[8]
Liu X damage based on real-time monitoring of cutting forces in milling technology research [J]. Shanghai: Tongji University, 1998. 8, 4 (27) : 487-490.
Google Scholar
[9]
Feng Xiaofeng, Yu Jinwei based on wavelet neural network machine tool monitoring [J]. Beijing: new technologies, 2009, 8: 45-47.
Google Scholar
[10]
Peng Chunhua, Wang fine ocean. Cutting force monitoring based on virtual instrument technology research [J]. Nanchang: Nanchang Institute of Aeronautical Technology (Natural Science), 2003. 9, 3 (17) : 81-83.
Google Scholar
[11]
Tang Xiao-Jiao. Cutting force test experimental system transformation [J]. Tangshan: Tangshan College, 2000. 6, 2 (13) : 61-64.
Google Scholar
[12]
Zhang, Bao-Yuan, Qian Min. Cutting Force Measurement System [J]. Beijing: Mechanical Engineering, 2002. 12, 38: 151-154.
Google Scholar
[13]
Guan Jian, Fei Ren-yuan, Wang Min. Swarf online monitoring of the signal characteristics [J]. Beijing: Beijing University of Technology, 2000. 3, 26: 01-05.
Google Scholar
[14]
Chen Guocong. Deep hole boring and machining condition monitoring systems research [J]. Beijing: Ordnance automation, 1996, 2: 59-61.
Google Scholar
[15]
Song Lei, Zhu Lin, Wang Hongping, PENG Hai. Deep Hole Drilling Monitoring System [J]. Harbin: mechanical engineer, 2002, 9: 43-46.
Google Scholar
[16]
Ao Yinhui. Drilling status line detection method [J]. Beijing: Manufacturing Automation, 2009. 10, 10 (31) : 47-51.
Google Scholar
[17]
Anna Puig, Lluis Perez-Vidal, Dani Tost. 3D simulation of tool machining[J]. London: Computers & Graphics, 2003, 27: 99-106.
DOI: 10.1016/s0097-8493(02)00248-0
Google Scholar
[18]
Chappel I. The Use Of Vectors To Simulate Material Removed By Numerically Controlled Milling. New York: Computer Aided Design[J], 1983, 15: 156-164.
DOI: 10.1016/0010-4485(83)90082-9
Google Scholar