Condition Monitoring in the Management of Maintenance in a Large Scale Precision CNC Machining Manufacturing Facility
The manufacture of large-scale precision aerospace
components using CNC requires a highly effective maintenance
strategy to ensure that the required accuracy can be achieved over
many hours of production. This paper reviews a strategy for a
maintenance management system based on Failure Mode Avoidance,
which uses advanced techniques and technologies to underpin a
predictive maintenance strategy. It is shown how condition
monitoring (CM) is important to predict potential failures in high
precision machining facilities and achieve intelligent and integrated
maintenance management. There are two distinct ways in which CM
can be applied. One is to monitor key process parameters and
observe trends which may indicate a gradual deterioration of
accuracy in the product. The other is the use of CM techniques to
monitor high status machine parameters enables trends to be
observed which can be corrected before machine failure and
downtime occurs.
It is concluded that the key to developing a flexible and intelligent
maintenance framework in any precision manufacturing operation is
the ability to evaluate reliably and routinely machine tool condition
using condition monitoring techniques within a framework of Failure
Mode Avoidance.
[1] Cabral, D., Kacprzynski, G., Reimann, J., Marini, R., Using Condition
Based Maintenance to Improve Profitability of Performance Based
Logistic Contracts, Annual Conference of the Prognostics and Health
Management Society, New York, 2009.
[2] Henshall, E. and Campean, F., "Implementing Failure Mode
Avoidance," SAE Technical Paper 2009-01-0990, 2009.
[3] Victory, J. L, Model-Based Condition Monitoring with Web Access,
PhD Thesis, 2005, University of Bradford, UK, ch. 5.
[4] Maillart, L.M., Pollock, S.M., Cost-Optimal Condition-Monitoring for
Predictive Maintenance of 2-Phase Systems, IEEE Transactions on
Reliability, Vol. 51, No.3, September 2002.
[5] Courtney. C, Condition Monitoring in the Management of Maintenance
in a Large Scale Precision CNC Machining Manufacturing Facility,
2011.
[6] Newman S.T, A. Nassehi, CIRP Annals - Manufacturing Technology,
Volume 58, Issue 1, 2009, pp. 421-424, 2009.
[7] ASME B5.54-2005, Methods for Performance Evaluation of CNC
Machining Centres, ASME 2005.
[1] Cabral, D., Kacprzynski, G., Reimann, J., Marini, R., Using Condition
Based Maintenance to Improve Profitability of Performance Based
Logistic Contracts, Annual Conference of the Prognostics and Health
Management Society, New York, 2009.
[2] Henshall, E. and Campean, F., "Implementing Failure Mode
Avoidance," SAE Technical Paper 2009-01-0990, 2009.
[3] Victory, J. L, Model-Based Condition Monitoring with Web Access,
PhD Thesis, 2005, University of Bradford, UK, ch. 5.
[4] Maillart, L.M., Pollock, S.M., Cost-Optimal Condition-Monitoring for
Predictive Maintenance of 2-Phase Systems, IEEE Transactions on
Reliability, Vol. 51, No.3, September 2002.
[5] Courtney. C, Condition Monitoring in the Management of Maintenance
in a Large Scale Precision CNC Machining Manufacturing Facility,
2011.
[6] Newman S.T, A. Nassehi, CIRP Annals - Manufacturing Technology,
Volume 58, Issue 1, 2009, pp. 421-424, 2009.
[7] ASME B5.54-2005, Methods for Performance Evaluation of CNC
Machining Centres, ASME 2005.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:57673", author = "N. Ahmed and A.J. Day and J.L. Victory L. Zeall and B. Young", title = "Condition Monitoring in the Management of Maintenance in a Large Scale Precision CNC Machining Manufacturing Facility", abstract = "The manufacture of large-scale precision aerospace
components using CNC requires a highly effective maintenance
strategy to ensure that the required accuracy can be achieved over
many hours of production. This paper reviews a strategy for a
maintenance management system based on Failure Mode Avoidance,
which uses advanced techniques and technologies to underpin a
predictive maintenance strategy. It is shown how condition
monitoring (CM) is important to predict potential failures in high
precision machining facilities and achieve intelligent and integrated
maintenance management. There are two distinct ways in which CM
can be applied. One is to monitor key process parameters and
observe trends which may indicate a gradual deterioration of
accuracy in the product. The other is the use of CM techniques to
monitor high status machine parameters enables trends to be
observed which can be corrected before machine failure and
downtime occurs.
It is concluded that the key to developing a flexible and intelligent
maintenance framework in any precision manufacturing operation is
the ability to evaluate reliably and routinely machine tool condition
using condition monitoring techniques within a framework of Failure
Mode Avoidance.", keywords = "Maintenance, Condition Monitoring, CNC,
Machining, Accuracy, Capability, Key Process Parameters, Critical
Parameters", volume = "6", number = "8", pages = "1631-4", }