Micro-end-milling - II. Extending tool life with a Smart Workpiece Holder (SWH)

International Journal of Machine Tools and Manufacture

Volumn 38, Issue 12, 1998, Pages 1437-1448

  Tansel, I ^a   Nedbouyan, A ^a   Trujillo, M ^a   Tansel, B ^a  

^a The Department of Electrical and Computer Engineering   (United States)

Author keywords

Failure; Metal cutting; Micro end mill; Micro machining; Micro tool; Monitoring; Smart material; Tool life; Wear

Indexed keywords

ACTUATORS; CUTTING TOOLS; FAILURE ANALYSIS; INTELLIGENT MATERIALS; METAL CUTTING; MICROMACHINING; MILLING MACHINES; MONITORING; PIEZOELECTRIC DEVICES; SERVICE LIFE;

MICRO-END-MILLING; SMART WORKPIECE HOLDERS (SWH);

MILLING (MACHINING);

EID: 0032345064     PISSN: 08906955     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0890-6955(98)00016-9     Document Type: Article

References (27)

1. I.N. Tansel, Micro-end-milling operations: I. Wear and Breakage, International Journal of Machine Tools and Manufacturing 38 (1998) 1419-1436.
2. G.F. Micheletti, W. Koenig, H.R. Victor, Annals of the CIRP 24 (1975) 349-354.
3. T.I. Liu, Automated visual inspection of drill wear, presented at the ASME Manufacturing International Conference, Atlanta, Georgia, 1990.
4. A.J. Wilkinson, Proc. IEE 118 (1971) 381-386.
5. K. Uehara, New attempts for short time tool life testing, Annals of the CIRP 22 (1973) 23.
6. H. Opiz, O. Hake, Microtecnic 10 (1956) 5-9.
7. M.E. Merchant, E.J. Krabacher, Radioactive tracers for rapid measurements of cutting tool life, Journal of Applied Physics 22 (1951) 1507-1508.
8. N.H. Cook, Tool wear sensors, Wear 62 (1980) 49-57.
9. A. Noh, Development of a cutting tool failure detector, Bull. Jpn. Soc. Engng. 23 (1989) 134-139.
10. P. Bandyopadhyay, E.M. Gonzalez, R. Huang, S.M. Wu, A feasibility study of on line monitoring of DDS methodology, Int. J. Mach Tool Des. Res. 26 (1986) 245-257.
11. S.M. Pandit, S. Kashou, J. Eng. Ind. 104 (1982) 217-233.
12. J. Rotberg, E. Lenz, S. Braun, Annals of the CIRP 36 (1986) 249-252.
13. J.R. Jaeschike, R.D. Zimmerly, Int. J. Mach. Tool Des. Res. 7 (1967) 465-475.
14. S. Liang, D.A. Dornfeld, Tool wear detection using time series analysis of acoustic emission, Trans. ASME, J. Engineering Ind. 111 (1989) 199-205.
15. E. Emel and E. Kannety-Assibu Jr, Characterization of tool wear and breakage by pattern recognition analysis of acoustic emission signal, Proceedings of the NAMR C XIV (1986) 266-272.
16. E. Kannatey-Asibu, D.A. Dornfeld, Wear 76 (1982) 247-461.
17. A. Thangaraj, P.K. Wright, Computer assisted prediction of drill failure using in-process measurements of thrust force, Trans. ASME, J. Engineering Ind. 110 (1988) 192-200.
18. L.V. Colwell and J.C. Mazur, Proceedings of the NAMRC IV (1976) 420-423.
19. N. Constantides, S. Bennet, Int. Journal of Machine Tool Design 27 (1987) 225-237.
20. T.I. Liu, S.M. Wu, On line detection of drill wear, Trans. ASME, Journal of Industrial Engineering 112 (1990) 299-302.
21. N.H. Cook, K. Subramanian, and S.A. Basile, Survey of the state of the art tool wear sensing techniques, Material Processing Lab., Dept of M.E., MIT, Cambridge, MA, 1975.
22. A. Noh, Development of a cutting tool failure detector, Bull. Jpn. Soc. Engng. 23 (1989) 134-139.
23. M.A. Elbestawi, J. Marks, T. Papazaforiou, Journal of Mechanical Sys. and Signal Processing 3 (1989) 305-315.
24. A.G. Ulsoy, Y. Koren, F. Rasmussen, Principal development in the adaptive control of machine tools, ASME Journal of Dynamic Systems, Measurements and Control 105 (2) (1985) 107-112.
25. O. Masory, Y. Koren, Adaptive control systems for turning, Annals of the CIRP 29 (1) (1980) 281-284.
26. Y. Koren, O. Masory, Adaptive control with process estimation, Annals of the CIRP 30 (1) (1981) 373-376.
27. M. Weck, E. Verhaag, M. Gather, Adaptive control for face milling operations with strategies for avoiding chatter vibrations and for automatic cut distributions, Annals of the CIRP 24 (1975) 405.