Abstract
The rapidly advancing trend towards miniaturization in the series production of gears confronts quality assurance with new challenges. In this context, metrological technologies as well as expertise from the field of macro gears can only be transferred to a limited extent. Inline integration of metrology into micro gear production has not yet been implemented in a practicable way. This publication extends the current limits of micro gear quality assurance to date by qualifying the optical method of focus variation technology for complete inline measurements of micro gears in series production time. In detail, this work includes the development of a measurement program by means of Design of Experiments, the establishment of a practicable cleaning process, the evaluation of resulting measurement uncertainties, and a process capability analysis. Consequently, the focus variation technology is qualified for fast, three-dimensional measurements of micro gears with respectively low measurement uncertainties.
Zusammenfassung
Der rapide fortschreitende Trend zur Miniaturisierung in der Serienfertigung von Zahnrädern stellt die Qualitätssicherung vor neue Herausforderungen. Messtechnische Verfahren sowie Know-how aus dem Bereich der Makroverzahnungen sind dabei nur bedingt übertragbar. Die Inline-Integration der Messtechnik in die Mikrozahnradfertigung ist deshalb bisher noch nicht hinreichend umgesetzt worden. Der vorliegende Beitrag erweitert die bisherigen Grenzen der Qualitätssicherung von Mikrozahnrädern, indem er das optische Verfahren der Fokusvariation für die vollständige Inline-Messung von Mikrozahnrädern für den Produktionstakt qualifiziert. Im Einzelnen umfasst diese Arbeit die Entwicklung eines Messprogramms mittels Design of Experiments, die Etablierung eines praktikablen Reinigungsprozesses, die Bewertung der resultierenden Messunsicherheiten sowie eine Prozessfähigkeitsanalyse. Im Ergebnis wird die Fokusvariation für schnelle, dreidimensionale Messungen von Mikrozahnrädern mit verhältnismäßig geringen Messunsicherheiten qualifiziert.
Funding source: Deutsche Forschungsgemeinschaft
Award Identifier / Grant number: 431571877
Funding statement: This research and development project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 431571877. The authors thank the DFG for funding and intensive technical support.
About the authors
Daniel Gauder is currently a research associate at the Institute of Production Sciences (wbk) at the Karlsruhe Institute of Technology (KIT) and holds a B. Sc. in Business Administration and Engineering and a MBA in Production Management. His research interests lie in the field of process optimization through the implementation of in process measurement technology in machine tools.
Johannes Gölz is a research assistant at the wbk Institute for Production Engineering at the Karlsruhe Institute of Technology (KIT).
Alexander Bott is a research assistant at the wbk Institute for Production Engineering at the Karlsruhe Institute of Technology (KIT).
Niels Jung is a research assistant at the wbk Institute for Production Engineering at the Karlsruhe Institute of Technology (KIT).
Prof. Dr.-Ing. Gisela Lanza is member of the management board at the Institute of Production Science (wbk) of the Karlsruhe Institute of Technology (KIT). She heads the Production Systems division dealing with the topics of global production strategies, production system planning, and quality assurance in research and industrial practice.
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