The Operating Diagnostics in the Computer Aided Systems of Production Processes

Abstract:

The paper presents the operational diagnostic problems in production systems. It briefly discusses the estimation of vibroacoustic signal characteristics used in diagnostic systems, the possibility of applications have been pointed out. Basing on the elements of the fuzzy logic, decision-making system in the areas of ambiguity during machining has been presented.An initial structure of the integrated supporting system of manufacturing processes dedicated to small and medium-sized enterprises in the metal industry have been shown. Future directions of authors’ research work have been indicated.

• Periodical: Applied Mechanics and Materials (Volume 791)
• Pages: 3-9
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.791.3
• Online since: September 2015
• Authors: Piotr Wittbrodt*, Alfred Paszek
• Keywords: An Integrated Support System of Production Processes, Cutting Tool, Fuzzy Logic, Monitoring, Operating Diagnostics, Wear

References

[1] Y. Kwon, G.W. Fischer, A novel approach to quantifying tool wear and tool life measurements for optimal tool management, International Journal of Machine Tools and Manufacture, 43 (2003) 359–368.

DOI: 10.1016/s0890-6955(02)00271-7

[2] F. Cus, M. Milfelner, J. Balic, An intelligent system for monitoring and optimization of ball – end milling process. Journal of Materials Processing Technology, 175 (2006) 90–97.

DOI: 10.1016/j.jmatprotec.2005.04.041

[3] H. Shao, H.L. Wang, X.M. Zhao, A cutting power model for tool wear monitoring in milling. International Journal of Machine Tools & Manufacture, 44 (2004) 1503–1509.

DOI: 10.1016/j.ijmachtools.2004.05.003

[4] M. Wiercigroch, E. Budak, Sources of nonlinearities, chatter generation and suppression in metal cutting, Philosophical Transactions of the Royal Society of London, 359 A (2001) 663–693.

DOI: 10.1098/rsta.2000.0750

[5] T.P. Zieliński, Cyfrowe przetwarzanie sygnałów – od teorii do zastosowań, WKŁ, Warszawa (2005).

[6] P. Wittbrodt, Algorytmy samouczące w zastosowaniu do technologicznych systemów prognozujących proces obróbki frezowaniem, XI Międzynarodowa Konferencja Naukowo-Techniczna, Technologiczne Systemy Informacyjne w Inżynierii Produkcji i Kształceniu Technicznym, Kazimierz Dolny nad Wisłą, (2013).

[7] P. Wittbrodt, Life and Wear of Monolithic Carbide Mills, Maintenance And Reliability, 3 (2005).

[8] P. Wittbrodt, A. Paszek, Decision support system of machining process based on the elements of fuzzy logic, ModTech International Conference, Modern Technologies in Industrial Engineering, Mamaia, Romania, 2015 (in print).

[9] T. Matsumura, E. Usui, Self – adaptive tool wear monitoring system in milling process, Transactions of NAMRI/SME 29, (2001).