Condition Monitoring in the Management of Maintenance in a Large Scale Precision CNC Machining Manufacturing Facility

Authors: N. Ahmed, A.J. Day, J.L. Victory L. Zeall, B. Young

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

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1071192

References:

[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.