Predicting remaining useful life of cutting tools with regression and ANN analysis

International Journal of Productivity and Quality Management

Volumn 9, Issue 4, 2012, Pages 502-518

  Gokulachandran, J ^a   Mohandas, K ^a  

^a AMRITA SCHOOL OF ENGINEERING   (India)

Author keywords

Carbide tipped tools; Cost; Cutting tools; Degraded components; Manufacturing; Natural resources; Neural network; Orthogonal array; Regression; Remaining useful life; Reuse; RUL; Taguchi approach; Tool life

Indexed keywords

EID: 84862211300     PISSN: 17466474     EISSN: 17466482     Source Type: Journal    
DOI: 10.1504/IJPQM.2012.047195     Document Type: Article

References (35)

1. Adesta, E.T.Y., AI Hazza, M., Riza, M., Agusman, D. and Rosehan (2010) 'Tool life estimation model based on simulated flank wear during high speed hard turning', European Journal of Scientific Research, Vol. 39, No. 2, pp.265-278.
2. Ao, Y. and Qiao, G. (2010) 'Prognostics for drilling process with wavelet packet decomposition', Int. J. Manufacturing Technology, Vol. 50, No. 4, pp.47-52.
3. Anityasari, M. and Kaebernick, H. (2008) 'A concept of reliability evaluation for reuse and remanufacturing', Int. J. Sustainable Manufacturing, Vol. 1, No. 1, pp.3-17.
4. Baruah, P. and Chinnam, R.B. (2005) 'HMM for diagnostics and prognostics in machining process', Int. J. Production Research, Vol. 43, No. 6, pp.1275-1293. (Pubitemid 41633077)
5. Carl, S., Byington, P.E., Watson, M.J. and Edwards, D. (2004) 'Data-driven neural network methodology to remaining life predictions for aircraft actuator components', in IEEE Aerospace Conference, BigSky, MT, 6-13 March, pp.3581-3589. (Pubitemid 40057079)
6. Devore, J.L. (2008) Probability and Statistics for Engineers. New Delhi: Cengage Learning.
7. Gebraeel, N., Lawley, M., Liu, R. and Prameswaran, V. (2004) 'Residual life predictions from vibration based degradation signals: a neural network approach', IEEE Transactions on Industrial Electronics, Vol. 51, No. 3, pp.694-700.
8. Ghani, J.A., Hamzah, F.M., Rahman, M.N. and Deros, B.M. (2006) 'The reliability of tool life prediction model in end milling', Journal Mekanial, Vol. 21, pp.65-71.
9. Gokulachandran, J. and Mohandas, K. (2010) 'Tool life prediction model for uncoated carbide tool using regression and ANN analysis', Paper presented at the First International Conference on Technological Trends, Trivandrum, India, 18-21 December.
10. Inman, D.J., Farrar, C.R. and Lopes, V. (2005) Damage Prognosis: For Aerospace, Civil and Mechanical Systems. NY, USA: Wiley.
11. ISO (1993) Tool Life Testing with Single Point Turning Tools, ISO 3685 (2nd ed.). Geneva: International Organization for Standards.
12. Jardine, A.K.S., Lin, D. and Banjevic, D. (2006) 'A review of machinery diagnostics and prognostics implementing condition-based maintenance: invited review', Mechanical System and Signal Processing, Vol. 20, No. 7, pp.1483-1510.
13. Levitin, G. (2005) Universal Generating Function in Reliability Analysis and Optimization. London: Springer-Verlag.
14. Li, C.J. and Lee, H. (2005) 'Gear fatigue crack prognosis using embedded model, gear dynamic model and fracture mechanics', Mechanical Systems and Signal Processing, Vol. 19, No. 4, pp.836-846. (Pubitemid 40556437)
15. Liao, H.T., Elsayed, E.A. and Chan, L.Y. (2006a) 'Maintenance of continuously monitored degrading systems', European Journal of Operational Research, Vol. 175, No. 2, pp.821-835. (Pubitemid 44345072)
16. Liao, H., Zhao, W.B. and Guo, H.R. (2006b) 'Predicting remaining useful life of an individual unit using proportional hazards model and logistic regression model', Proceedings of the 52nd Annual Reliability and Maintainability Symposium, NewportBeach, CA, 23-26 January.
17. Lin, Y.S., Lin, J.C., Lin, C.C., Jywe, W.Y. and Lin, B.J. (2006) 'Life prediction system using a tool's geometric shape for high - speed milling', Int. J. Manufacturing Technology, Vol. 30, No. 7, pp.622-630. (Pubitemid 44411190)
18. Maity, K.P. and Swain, P.K. (2008) 'An experimental investigation of hot machining to predict tool life', Journal of Materials Processing Technology, Vol. 198, No. 3, pp.344-349. (Pubitemid 350296812)
19. Mazhar, M.I., Kara, S. and Kaebernick, H. (2007) 'Remaining life estimation of used components in consumer products: life cycle data analysis by Weibull and artificial neural networks', Journal of Operations Management, Vol. 25, No. 6, pp.1184-1193. (Pubitemid 47429827)
20. Nagpal, G.R. (2002) Tool Engineering and Design. New Delhi: Khanna Publishers.
21. Ping, Y.C. and Yeong, D.H. (1997) 'An improvement neural network model for the prediction of cutting tool life', Journal of Intelligent Manufacturing, Vol. 8, No. 2, pp.107-115.
22. Pouchet, J. (2010) 'Reuse IT to promote sustainability, efficiency', Energy and Environmental News for Business, Available at: www. environmentalleader.com, Accessed on 27 February 2011.
23. Prakash, A., Mohanty, R.P. and Kallurkar, S.P. (2011) 'Service quality modelling for life insurance business using neural networks', Int. J. Productivity and Quality Management, Vol. 7, No. 3, pp.263-286.
24. Raja, P.N., Kannan, S.M. and Jeyabalan, V. (2010) 'Overall line effectiviness - a performance evaluation index of a manufacturing system', Int. J. Productivity and Quality Management, Vol. 5, No. 1, pp.38-59.
25. Ross, P.J. (2005) Taguchi Techniques for Quality Engineering. New York, NY: Tata McGraw-Hill.
26. Rugrungruang, F., Kara, S. and Kaebernic, H. (2009) 'An integrated methodology for assessing physical and technological life of products for reuse', Int. J. Sustainable Manufacturing, Vol. 1, No. 4, pp.463-490.
27. Saha, B., Goebel, K., Poll, S. and Christophersen, J. (2009) 'Prognostics methods for battery health monitoring using a Bayesian framework', IEEE Transactions on Instrumentation and Measurement, Vol. 58, No. 2, pp.291-296.
28. Si, X.S., Wang, W., Hu, C-H. and Zhou, D-H. (2011) 'Remaining useful life estimation: a review on the statistical data driven approaches', European Journal of Operational Research, Vol. 213, No. 1, pp.1-14.
29. Srinivas, J. and Kotaiah, R. (2005) 'Tool wear monitoring with indirect methods', Manufacturing Technology Today, India, Vol. 4, No. 12, pp.7-9.
30. Tian, Z., Wong, L. and Safaei, N. (2010) 'A neural network approach for remaining useful life prediction utilizing both failure and suspension histories', Mechanical Systems and Signal Processing, Vol. 24, No. 5, pp.1542-1555.
31. Vachtsevanos, G., Lewis, F.L., Roemer, M., Hess, A. and Wu, B. (2006) Intelligent Fault Diagnosis and Prognosis for Engineering Systems. NY, USA: Wiley.
32. Vass, J., Randall, R.B., Kara, S. and Kaebernick, H. (2010) 'Vibration based approach to life time prediction of electric motors for reuse', Int. J. Sustainable Manufacturing, Vol. 2, No. 1, pp.2-29.
33. Yan, J., Hua, D. and Wang, X. (2011) 'Sustainable manufacturing oriented prognosis for facility reuse', Key Engineering Materials, Vol. 450, pp.437-440.
34. You, M-Y. and Meng, G. (2011) 'Updated proportional hazards model for equipment residual life prediction', Int. J. Quality and Reliability Management, Vol. 28, No. 7, pp.781-795.
35. Zio, E. and Di Maio, F. (2010) 'A data driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system', Reliability Engineering and System Safety, Vol. 95, No. 1, pp.49-57.