Application of AE and cutting force signals in tool condition monitoring in micro-milling

CIRP Journal of Manufacturing Science and Technology

Volumn 1, Issue 2, 2008, Pages 97-102

  Jemielniak, K ^a   Arrazola, P J ^b  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b MONDRAGON UNIVERSITY   (Spain)

Author keywords

Acoustic emission; Cutting forces; Micro milling; Tool condition monitoring

Indexed keywords

ACOUSTIC EMISSION TESTING; ACOUSTIC EMISSIONS; ACOUSTICS; MACHINE TOOLS; MILLING (MACHINING); MILLING MACHINES; TOOL STEEL;

ACOUSTIC EMISSION SIGNALS; COLD WORKS; CUTTING FORCE SIGNALS; CUTTING FORCES; EXCITATION FREQUENCIES; MICRO MILLINGS; MICRO-MILLING; RESONANCE VIBRATIONS; SHORT REACTION TIMES; TOOL CONDITION MONITORING; TOOL WEARS; WORKPIECE CONTACTS;

CONDITION MONITORING;

EID: 56449089064     PISSN: 17555817     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cirpj.2008.09.007     Document Type: Article

References (12)

1. Dornfeld D., Min S., and Takeuchi Y. Recent Advances in Mechanical Micromachining. Annals of the CIRP 55 2 (2006) 745-768
2. Tansel I.N., Arkan T.T., Bao W.Y., et al. Tool Wear Estimation in Micro-Machining. International Journal of Machine Tools Manufacturing 40 (2000) 599-608
3. Lee D.E., Hwang I., Valente C.M.O., Oliveira J.F.G., and Dornfeld D.A. Precision Manufacturing Process Monitoring with Acoustic Emission. International Journal of Machine Tools Manufacturing 46 (2006) 176-188
4. Byrne G., Dornfeld D., Inasaki I., König W., and Teti R. Tool Condition Monitoring (TCM)-The Status of Research and Industrial Application. Annals of the CIRP 44 2 (1995) 541-567
5. Jemielniak K. Commercial Tool Condition Monitoring Systems. Journal of Advanced Manufacturing Technology 15 (1999) 711-721
6. Rehorn A.G., Jiang J., and Orban P.E. State-of-the-Art Methods and Results in Tool Condition Monitoring: A Review. Journal of Advanced Manufacturing Technology 26 (2005) 693-710
7. Sun J., Hong G.S., Wong Y.S., Rahman M., and Wang Z.G. Effective Training Data Selection in Tool Condition Monitoring System. International Journal of Machine Tools Manufacturing 46 (2006) 218-224
8. Kuo R.J., and Cohen P.H. Multi-Sensor Integration for On-Line Tool Wear Estimation Through Radial Basis Function Networks and Fuzzy Neural Network. Neural Networks 12/2 (1999) 355-370
9. Jemielniak K. Tool Wear Monitoring Based on a Non-Monotonic Signal Feature. Journal of Engineering Manufacture 220/B2 (2006) 163-170
10. Jemielniak K., and Bombiński S. Hierarchical Strategies in Tool Wear Monitoring. Journal of Engineering Manufacture 223/B3 (2006) 375-382
11. Park S.S., and Altintas Y. Dynamic Compensation of Spindle Integrated Force Sensors with Kalman Filter. ASME Journal of Dynamic Systems, Measurement, and Control 126 (2004) 443-452
12. Chae J., and Park S.S. High Frequency Bandwidth Measurements of Micro-Cutting Forces. 2nd CIRP International Conference on High Performance Cutting (2006) Paper 56; Vancouver 2006