An active method of monitoring tool wear states by impact diagnostic excitation

International Journal of Machine Tools and Manufacture

Volumn 44, Issue 7-8, 2004, Pages 847-854

  Gong, Weiguo ^a   Li, Weihong ^a   Shirakashi, T ^b   Obikawa, T ^c  

^a CHONGQING UNIVERSITY   (China)

^b TOKYO DENKI UNIVERSITY   (Japan)

^c TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Cutting tool; Damping ratio; Flank wear state; Impact diagnostic excitation; Tool vibration characteristic

Indexed keywords

DAMPING; DATA ACQUISITION; ENERGY DISSIPATION; FAST FOURIER TRANSFORMS; MACHINE VIBRATIONS; MACHINING; PARAMETER ESTIMATION; WEAR OF MATERIALS;

DAMPING RATIO; FLANK WEAR STATE; IMPACT DIAGNOSTIC EXCITATION; TOOL VIBRATION CHARACTERISTIC; TOOL VIBRATIONS;

CUTTING TOOLS;

EID: 1842854070     PISSN: 08906955     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmachtools.2004.01.007     Document Type: Article

References (20)

1. Achiche Sofiane, Balazinski Marek, Baron Luc, Jemielniak Krzysztof. Tool wear monitoring using genetically-generated fuzzy knowledge bases. Engineering Applications of Artificial Intelligence. 15:(3-4):2002;303-314.
2. Li Xiaoli. A brief review: acoustic emission method for tool wear monitoring during turning. International Journal of Machine Tools and Manufacture. 42:(2):2002;157-165.
3. Kopač J., Šali S. Tool wear monitoring during the turning process. Journal of Materials Processing Technology. 113:(1-3):2001;312-316.
4. Sensor signals for tool-wear monitoring in metal cutting operations - a review of methods, International Journal of Machine Tools and Manufacture 40(8) (2000) 1073-1098.
5. Choudhury S.K., Jain V.K., Rama Rao Ch.V.V. On-line monitoring of tool wear in turning using a neural network. International Journal of Machine Tools and Manufacture. 39:(3):1999;489-504.
6. Lee L.C. On the correlation between dynamic cutting force and tool wear. International Journal of Machine Tools and Manufacture. 29:(1):1989;295-303.
7. Gong Weiguo, Obikawa T., Shirakashi T. Monitoring of tool wear states in turning based on wavelet analysis. JSME International Journal. 40:(3):1997;447-453.
8. Shirakashi Takahiro, Gong Weiguo, Obikawa Tosiyuki. In-process monitoring of tool damage by active method - behavior of damping ratio with tool wear development. Journal of the Japan Society for Precision Engineering. 61:(12):1995;1750-1754. (in Japanese).
9. Shirakashi Takahiro, Gong Weiguo, Obikawa Tosiyuki. In-process monitoring of tool damage by active method - behavior of damping ratio with cutting conditions. Journal of the Japan Society for Precision Engineering. 62:(8):1996;1146-1150. (in Japanese).
10. Obikawa T., Kaseda C., Matsumura T., Gong W.G., Shirakashi T. Tool wear monitoring for optimizing cutting conditions. Journal of Materials Processing Technology. 62:(4):1996;374-379.
11. Tansel N. Monitoring drill conditions with wavelet based encoding and neural networks. International Journal of Machine Tools and Manufacture. 33:(4):1993;559-575.
12. Tansel I.N. Detection of tool failure in end milling with wavelet transformations and neural networks (WT-NN). Manufacturing Science and Engineering, PED, ASME. 64:1993.
13. Kawai T. Application of wavelet analysis to monitoring of cutting conditions in milling. Japan Society for Mechanical Engineering. 60:(59):1994.
14. Mallat S.A. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11:(7):1989;674-693.
15. Lay G.J. Detection of tool wear by dynamic component of cutting force. Journal of Japan Society for Precision Engineering. 50:(7):1984;49-54.
16. Rao S.B. Tool wear monitoring through the dynamics of stable turning. ASME Journal of Engineering for Industry. 108:(8):1986;183-190.
17. Micheletti G.F., , et al. In-process tool wear sensors for cutting operations. Annals of CIRP. 25:(2):1976;483.
18. Uehara K. Sensors for cutting operations. Journals of Japan Society for Mechanical Engineering. 89:(9):1976;1084. (in Japanese).
19. Murata R., Kokubo K. Correlation between flank wear and tool vibration excited by a diagnostic impulse in machining process. Journal of the Japan Society for Precision Engineering. 60:(2):1994;250. (in Japanese).
20. Usui E., Kitagawa T., Maekawa K., Obikawa T., Shirakashi T. Analytical prediction of tool wear (3rd report). Journal of the Japan Society for Precision Engineering. 48:(9):1982;1231. (in Japanese).