Condition-based preventive maintenance of machine tools

• Autorzy: Neugebauer R. , Fischer J.
• Języki publikacji: EN

Abstrakty

EN

Machine tools are expected to be highly available. Unintended failure incurs high costs for repairs and through production losses. Maintenance is a major cost factor and is still mostly reactive today, as a result of failures. Maintenance plans by manufacturers that require preventive maintenance based on running hours are often not implemented consistently. It would be ideal to perform condition-dependent preventive maintenance of the most critical and cost-intensive assemblies of a machine tool. This would make it possible to move repair times into non-productive periods and to procure 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 ways of monitoring the most critical machine tool assemblies.

Słowa kluczowe

EN

condition monitoring at machine tools; diagnostic parameters; main spindle; axis drives; hydraulic components; pneumatic components

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2009
• Tom: Vol. 9, No. 3
• Strony: 64--76
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Neugebauer R.

• Fraunhofer Institute for Machine Tools and Forming Technology, Chemnitz, Germany

autor

Fischer J.

• Fraunhofer Institute for Machine Tools and Forming Technology, Chemnitz, Germany

Bibliografia

• 1. BRECHER., 2004, Diagnosesysteme für Werkzeugmaschinen – Anforderungen, Stand der Technik, Potenziale; Seminar „Zuverlässigkeit von Produktionsmaschinen“, RWTH Aachen.
• 2. FISCHER J., 2005, Forschungsbericht/Studie „Vorausschauende Instandhaltung an Produktionsmaschinen“, FhG-IWU Chemnitz, unveröffentlicht.
• 3. HOSHI., 2006, Damage Monitoring of Ball Bearing, Annals of the CIRP Vol. 55/1/427-430.
• 4. KREIDLER., MAIER., 2004, Internet-basierte Nutzung von Steuerungs- und Antriebsdaten zur Maschinenzustands- überwachung, wt online.
• 5. METZELE., 2008, Zustandsorientierte Instandhaltung an schnelllaufenden Werkzeugmaschinen-Hauptspindeln, Shaker- Verlag, Band.
• 6. SCHUH., KAMKER., u.a., Studie Intelligent Maintenance, 2005, www.ifm-electronic.com/studie
• 7. STURM., FÖRSTER., 1988, Maschinen- und Anlagendiagnostik für die zustandsbezogene Instandhaltung, Verlag Technik Berlin.
• 8. VERL., HEISEL., WALTER., MAIER., 2009, Sensorless automated condition monitoring for the control of the predictive maintenance of machine tools, CIRP Annals- Manufactoring Technology 58/375-378.
• 9. Datenblatt SpiCoM „Spindle Condition Monitoring System”; FAG Schweinfurt.
• 10. Datenblatt 3SA „Spindle Sensor System and Analysis“, Prometec GmbH, www.prometec.de
• 11. ISPI-Intelligente Spindeleinheit, http://www.produktionsforschung.de/verbundprojekte/vp/index.htm?VP_ID=596
• 12. Studie Federal Energy Management Program USA., 2006, http://www1.eere.energy.gov/femp/pdfs/OM_5.pdf- 99.1KB.
• 13. www.ott-jakob.de/d/aktuell.htm.
• 14. Forschungsprojekt VIPRO, http://www.iwu.fraunhofer.de/VIPRO/index.htm