pictogram Lifetime Model Timing Belt

Research Project: Lifetime model for a timing belt drive

Institute of Machine Components (IMA)

Lifetime model for a timing belt drive in steering gears based on design of experiments (L-DoE)

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Design methods for drivetrain components are usually based on standardized guidelines or historically collected data. This also applies to synchronous belt drives such as timing belts, whose modern applications are characterized by increasing precision and performance. At the same time, their service life is directly influenced by numerous factors such as pretension, torque or ambient temperatures, or disturbed by variances in the tooth geometries. If there is a lack of specific understanding of the system, unplanned system failures or systematic over-dimensioning will result. In the presented reliability modeling project, this problem is addressed using the example of a passenger car steering gear. Using design of experiments for non-normally distributed lifetime data (L-DoE) and variable factor levels, relevant influencing factors are identified, their system effects quantified and transferred to an application-specific lifetime model.

> detailed project description (.pdf)

Publications

  1. Arndt, Marco ; Dazer, Martin: Investigating Practical Orthogonality Deviations in RSM for Improved Predictive Reliability Modeling. In: , 2024. — ISBN 978-8-3503-0769-6 — IMA-ZUV peer-review
  2. Arndt, Marco ; Dazer, Martin: Characteristics of extrapolation-optimized response surface designs for multivariate reliability modelling and lifetime prediction. In: , 2024 — IMA-ZUV peer-review
  3. Arndt, Marco ; Dazer, Martin ; Raither, Wolfram ; Bertsche, Bernd: Parameter assessment for reliability modeling of machine components using heuristic screening Bd. 2023 (2023) — IMA-ZUV peer-review
  4. Arndt, Marco ; Dazer, Martin: Analysis of Efficiency in Response Surface Designs Considering Orthogonality Deviations and Cost Models. In: : Research Publishing, Singapore, 2023. — ISBN 978-981-18-8071-1, S. 1167–1174 — IMA-ZUV peer-review
  5. Arndt, Marco ; Dazer, Martin ; Raither, Wolfram: Zuverlässigkeits-Modellierung von Hochleistungs-Zahnriemen für PKW-Lenkgetriebe mittels statistischer Versuchsplanung – Herausforderungen und Potenziale. In: , 2022 — IMA-ZUV 404 (Präsentation)
  6. Kremer, Alexander ; Dücsö, Levente ; Bertsche, Bernd: Reliability Prediction using Design of Experiments. In: , 2020 — IMA-ZUV 351
  7. Kremer, Alexander ; Bertsche, Bernd: A New Approach for Parametrizing Multidimensional Lifetime Models. In: , 2019. — ISBN 978-981-11-2724-3 — IMA-ZUV 324
  8. Kremer, Alexander ; Bertsche, Bernd: A Methodology for Consideration of Uncertainty in Lifetime Design of Experiments. In: , 2019 — IMA-ZUV 309
  9. Kremer, Alexander ; Bertsche, Bernd ; Scholzen, Andreas: The influence of environmental and manufacturing conditions on lifetime and reliability predictions for industrial timing belt drives (2019) — IMA-ZUV 325
  10. Kremer, Alexander ; Bertsche, Bernd ; Scholzen, Andreas: Verbesserte Auslegung industrieller Zahnriemenantriebe durch Analyse von Breitenfaktoren und der Alterung. In: , 2019. — ISBN 978-3-96548-055-1 — IMA-ZUV 327
  11. Kremer, A. ; Bertsche, B. ; Scholzen, A.: Ermittlung von lebensdauerbeeinflussenden Faktoren bei Zahnriemengetrieben Bd. Jahrgang 74, Vereinigte Fachverlage GmbH (2018), S. S — IMA-ZUV 304
  12. Kremer, A. ; Bertsche, B. ; Scholzen, A.: Methodik zur Prognose der Lebensdauer von Zahnriemengetrieben. In: TUDpress, 2018. — ISBN 978-3-95908-150-4 — IMA-ZUV 306
  13. Kremer, A. ; Bertsche, B.: Beschleunigte Zuverlässigkeitstests unter Berücksichtigung von Vertrauensbereichen Bd. 82. Berlin, Heidelberg, Springer (2018), S. S. 1–15 — IMA-ZUV 303

Contact

This image shows Marco Arndt

Marco Arndt

M.Sc.

Vice Head of Reliability Department

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