Abstract
Machine tools need to be highly reliable with minimal down time. Unintended failure incurs high costs due to repairs and production losses. Maintenance is a major cost factor and is still handled reactively to a great extent. Maintenance plans by manufacturers that recommend preventive maintenance based on operating hours are often not consistently implemented. Ideally condition-dependent preventive maintenance of the most critical and cost-intensive assemblies of a machine tool would be performed. This would enable a shift of planned maintenance times to non-productive periods and would also enable procuring any spare parts at the right time. Eventually, this would lead to cost savings. This article describes the design of a condition monitoring system for machine tools and shows examples of main spindle monitoring.
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References
BRECHER: Diagnosesysteme für Werkzeugmaschinen—Anforderungen, Stand der Technik, Potenziale; Seminar “Zuverlässigkeit von Produktionsmaschinen”, RWTH Aachen, 09.Dec. 2004
FISCHER: Forschungsbericht/Studie “Vorausschauende Instandhaltung an Produktionsmaschinen”, FhG-IWU Chemnitz, 2005
HOSHI: Damage Monitoring of Ball Bearing, Annals of the CIRP Vol. 55/1/2006:427–430
KREIDLER, MAIER: Internet-basierte Nutzung von Steuerungs- und Antriebsdaten zur Maschinenzustandsüberwachung, wt online, 10/2004
METZELE: Zustandsorientierte Instandhaltung an schnelllaufenden Werkzeugmaschinen- Hauptspindeln, Shaker- Verlag, Band 1/2008: 19–25
SCHUH, KAMKER u.a.: Study Intelligent Maintenance, 2005. http://www.ifm-consulting.com/ifmcon/web/studie_ergebnisse.htm. 16 August 2010
STURM, FÖRSTER: Maschinen- und Anlagendiagnostik für die zustandsbezogene Instandhaltung, Verlag Technik Berlin, 1988: 239–240
Heisel V, Maier W (2009) Sensorless automated condition monitoring for the control of the predictive maintenance of machine tools. CIRP Ann- Manufactoring Technol 58:375–378
Datasheet SpiCoM ”Spindle Condition Monitoring System”; FAG Schweinfurt
Datasheet 3SA ”Spindle Sensor System and Analysis”, Prometec GmbH. http://www.prometec.de/download/datasheets_machining/3SA_Ring.GE.pdf. 16 August 2010
ISPI-Intelligente Spindeleinheit, http://www.produktionsforschung.de/verbundprojekte/vp/index.htm?VP_ID=596. 16 August 2010
Study Federal Energy Management Program USA, 2006. http://www1.eere.energy.gov/femp/pdfs/OM_5.pdf. 16 August 2010
http://www.ott-jakob.de/dt/produkte/powercheck/powercheck.php. 16 August 2010
Forschungsprojekt VIPRO. http://www.iwu.fraunhofer.de/VIPRO/index.htm. 16 August 2010
Acknowledgments
This research was conducted within the framework of a project funded by German Federal Ministry of Education and Research.
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Neugebauer, R., Fischer, J. & Praedicow, M. Condition-based preventive maintenance of main spindles. Prod. Eng. Res. Devel. 5, 95–102 (2011). https://doi.org/10.1007/s11740-010-0272-z
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DOI: https://doi.org/10.1007/s11740-010-0272-z