Acoustic emission for tool condition monitoring in metal cutting

Wear

Volumn 212, Issue 1, 1997, Pages 78-84

  Ravindra, H V ^a   Srinivasa, Y G ^b   Krishnamurthy, R ^b  

^a PES COLLEGE OF ENGINEERING   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Acoustic emission; Process control; Wear monitoring

Indexed keywords

ACOUSTIC EMISSIONS; AUTOMATION; MATHEMATICAL MODELS; METAL CUTTING; OPTIMIZATION; PATTERN RECOGNITION; PLASTIC DEFORMATION; PROCESS CONTROL; STATISTICAL METHODS; TIME SERIES ANALYSIS; WEAR OF MATERIALS; ACOUSTIC EMISSION TESTING; FACTORY AUTOMATION; REGRESSION ANALYSIS;

AUTOREGRESSIVE PARAMETERS; WEAR MONITORING; TOOL CONDITION MONITORING;

CUTTING TOOLS;

EID: 0031260756     PISSN: 00431648     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0043-1648(97)00137-3     Document Type: Article

References (17)

1. K. Iwata, T. Moriwaki, Cutting state identification and in-process tool wear sensing by acoustic emission analysis, Bull. Jpn. Soc. Prec. Eng. 12 (4) (1978) 213-215.
2. T. Blum, T. Suzuki, I. Inasaki, Development of acondition monitoring system for cutting tool using an acoustic emission sensor, Bull. Jpn. Soc. Prec. Eng. 22 (4) (1988) 301-308.
3. R. Teti, Cutting conditions and work material state identification through acoustic emission methods, Ann. CIRP 42 (1) (1992) 89-92.
4. S. Rangawala, D. Dornfeld, A study of acoustic emission generated during orthogonal metal cutting, 1: energy analysis, Int. J. Mech. Sci. 33 (6) (1991) 471-487.
5. D.A. Dornfeld, E. Kannatey-Asibu, Acoustic emission during orthogonal metal cutting, Int. J. Mech. Sci. 22 (1980) 285-296.
6. E.M. Trend, Metal Cutting, Butterworth, UK, 1977.
7. M.S. Lan, D.A. Dornfeld, In-process tool fracture detection, Trans. ASME, J. Eng. Ind, 106 (1984) 111-118.
8. E. Emel, E. Kannatey-Asibu, Tool failure monitoring in turning by pattern recognition analysis of AE signals, Trans. ASME, J. Eng. Ind. 110 (1988) 137-145.
9. S.Y. Liang, D.A. Dornfeld, Tool wear detection using time series analysis of acoustic emission, Trans. ASME, J. Eng. Ind. 111 (1989) 199-205.
10. S. Rangawala, D.A. Dornfeid, Sensor integration using neural networks for intelligent tool condition monitoring, Trans. ASME, J. Eng. Ind. 112 (3) (1990) 219-215.
11. J. Tlusty, G.C. Andrews, A critical review of sensors for unmanned machining, Ann. CIRP 32 (2) (1983) 563-572.
12. D.A. Dornfeld, Monitoring of cutting process by means of AE sensor, Proc. 3rd Int. Machine Tool Engineers Conf., 1988, pp. 157-172.
13. S. Jetly, Measuring cutting tool wear on line: some practical considerations, Manuf. Eng. (1984) 55-60.
14. H.L. Dunegan, AE: for when you absolutely cannot afford a failure of a critical pressure boundary, J. Acoust. Emissions 8 (1-2) (1989) 571-574.
15. J.T. Tou, R.C. Gonzalez, Pattern Recognition Principles, Addison-Wesley, USA, 1974.
16. H.V. Ravindra, Tool condition monitoring in turning using cutting force, vibration and acoustic emission, Ph.D. thesis, IIT, Madras, India, 1993.
17. P.A. Dearly, E.M. Trent, Wear mechanism of coated carbide tools, Met. Technol. 9 (1982) 60-75.