Failure Evaluation and Analysis of Mechatronics-Based Production Systems during Design Stage Using Structural Modeling

Article Preview

Abstract:

A method based on structural modelling is developed for failure evaluation and analysis of mechatronics-based production systems. Majority of the elements in production systems are mechatronics-based, which includes various elements such as; electrical, electronic and mechanical. Each of these may have different failure types that may be interdependence/interactive. The reliability of the system mainly depends on how well the failures are taken care of during design stage. In general, individual failures are generalized into probable failure modes and early identification of these helps to reduce their probability. However, consideration of failures and their interdependence / interactions will help to evaluate and analyse the failures of complicated systems in an efficient and effective manner and increase the inherent system reliability. The system structure modeling helps in this regard. Digraph model, in conjunction with matrix method, is employed for failure evaluation and analysis of a mechatronics-based production system based on its structure.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

799-805

Citation:

Online since:

September 2016

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] R Neugebauer, B. Denkena, K. Wegener, Mechatronic systems for machine tools, Annals of the CIRP 56 (2007) 657 – 686.

DOI: 10.1016/j.cirp.2007.10.007

Google Scholar

[2] K.M. Blache, A.B. Shrivastava, Defining failure of manufacturing machinery and equipment, Proc. Annual Reliability and Maintainability Symposium, IEEE, Anaheim, California, USA, 24-27 January 1994, pp.69-75.

DOI: 10.1109/rams.1994.291084

Google Scholar

[3] A. Brall, A model for success in implementing an R&M program by a supplier of manufacturing machinery, Proc. Annual Reliability and Maintainability Symposium, IEEE, Anaheim, California, USA, 24-27 January 1994, pp.59-64.

DOI: 10.1109/rams.1994.291082

Google Scholar

[4] F.H. Raffa, F. Pakish, R&M Initiatives for the 60-degree V-6 engine manufacturing program, Proc. Annual Reliability and Maintainability Symposium, IEEE, Anaheim, California, USA, 24-27 January 1994, pp.76-82.

DOI: 10.1109/rams.1994.291085

Google Scholar

[5] G. Zhou, Y. Jia, H. Zhang, et al., A new single-sample failure model and its application to a special CNC system, Int. J. Qual. Reliab. Mgt., 22 (2004) 421-430.

DOI: 10.1108/02656710510591246

Google Scholar

[6] D.H. Kim, S.H. Kim, J.Y. Song, Diagnosing the cause of operational faults in machine tools with an open architecture CNC, J. Mech. Sci. Technol (KSME Int. J. ) 19 (2005) 1597-1610.

DOI: 10.1007/bf03023937

Google Scholar

[7] G. Shen, X. Wang, Y. Zhang, et al., Fuzzy analysis on criticality of tool magazine based on type-2 membership function, Proc. IEEE Int Conf on Electrical and Control Engineering (ICECE), Wuhan, China, 25-27 June 2010, pp.3779-3783.

DOI: 10.1109/icece.2010.922

Google Scholar

[8] M.K. Loganathan, O.P. Gandhi, Reliability enhancement of manufacturing systems through functions, Journal of Engineering Manufacture (2015) 1 – 19 [DOI: 10. 1177/0954405415612324].

Google Scholar

[9] M.K. Loganathan, M.S. Gandhi, O.P. Gandhi, Functional cause analysis of complex manufacturing systems using structure, Journal of Engineering Manufacture, 229 (2015) 533 – 545.

DOI: 10.1177/0954405414528310

Google Scholar

[10] M. Marcus, H. Minc, Permanents, Am. Math. Monthly 72 (1965) 571-591.

Google Scholar

[11] A. Baykasoglu, A review and analysis of graph theoretical-matrix permanent, approach to decision making with example applications, Artificial Intelligence Review 42 (2014) 573 – 605.

DOI: 10.1007/s10462-012-9354-y

Google Scholar

[12] C.E. Ebeling, An introduction to reliability and maintainability engineering, Tata McGraw-Hill Education, New Delhi, (2004).

Google Scholar