pictogram Lifetime extension of pittings

Research Project: Lifetime Extension of Pittings

Institute of Machine Components (IMA)

Increasing the remaining useful life of gears through an adaptive operating strategy

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For case-hardened gears, pitting damage occurs first on the weakest tooth. The other teeth are only pre-damaged or completely intact until failure (4% pitting area). Thus, there is a variation in the strength of the individual teeth and, at the same time, a potential for unused lifetime. The objective of this work is to use this potential to increase the remaining useful life of gears directly in operation by means of an adaptive operating strategy. Within the strategy, a local load reduction is applied to the pre-damaged tooth, thus delaying degradation. The other intact teeth compensate for the load reduction in order to achieve a constant average power, which represents a considerable advantage over the state of the art.

detailed project description (.pdf)

Publications

  1. Häderle, Philipp ; Merkle, Lukas ; Dazer, Martin: Vibration analysis for early pitting detection during operation Bd. 88 (2024) — IMA-AT (peer-review)
  2. Merkle, Lukas ; Binanzer, Lisa ; Dazer, Martin: Holistic Approach on Gear Damage Detection. In: . 23.-25.09.2024, Göttingen, 2024
  3. Binanzer, Lisa ; Schmid, Tobias ; Merkle, Lukas ; Dazer, Martin: Damage Detection using Machine Learning for PHM in Gearbox Applications. In: . Bd. 8. 03.-05.07.2024, Prague (CZ) : Phuc Do & Cordelia Ezhilarasu, 2024. — ISBN 978-1-936263-40-0, S. 274–285 — IMA-AT (peer-review)
  4. Merkle, Lukas ; Binanzer, Lisa ; Häderle, Philipp ; Dazer, Martin: Sensor concepts for gear damage detection in wind power drives. In: . Bd. 2875. 17.-19.01.2024, Trondheim (NOR) : IOP Publishing, 2024, S. 12022 — IMA-AT (peer-review)
  5. Binanzer, Lisa ; Merkle, Lukas ; Dazer, Martin ; Nicola, Andreas: Pitting Detection for Prognostics and Health Management in Gearbox Applications. In: . 13.-15.09.2023, Garching/Munich, 2023, S. 97–108
  6. Merkle, Lukas ; Binanzer, Lisa ; Dazer, Martin ; Nicola, Andreas: Artificial Intelligence for Sustainable Control of Wind Power Drives. In: . 21.-22.03.2023, Eurogress, Aachen, 2023, S. 172–180
  7. Gretzinger, Yvonne: Steigerung der nutzbaren Restlebensdauer von Zahnrädern durch eine adaptive Betriebsstrategie: Dissertation, Universität Stuttgart, Institut für Maschinenelemente, 2022
  8. Gretzinger, Yvonne ; Kroner, Andreas ; Henß, Mark ; Dazer, Martin ; Bertsche, Bernd: Extended Evaluation of Pitting Degradation Tests to Increase the Remaining Useful Life of Gear Wheels. In: 19th Drive Train Technology Conference (ATK 2021). Bd. 1097 (2021) — IMA-AT 247 (peer-review)
  9. Gretzinger, Yvonne ; Dazer, Martin ; Bertsche, Bernd: Using Life Data of Competing Failure Modes to Increase the Remaining Useful Life of Gear Wheels. In: , 2020 — IMA-AT 244 (peer-review)
  10. Gretzinger, Yvonne ; Lucan, Kevin ; Stoll, Christian ; Bertsche, Bernd: Lifetime Extension of Gear Wheels using an Adaptive Operating Strategy. In: , 2020, S. 703–710 — IMA-AT 245 (peer-review)
  11. Gretzinger, Yvonne ; Dazer, Martin ; Bertsche, Bernd: Lebensdauerpotentiale bei der Schadensart Zahnradgrübchen. In: : sierke Verlag, 2019. — ISBN 978-3-96548-055-1, S. 209–218
  12. Gretzinger, Yvonne ; Nosch, Jonathan-Lee ; Bertsche, Bernd: Beeinflussung von Antriebsstrangschwingungen zur Lebensdauerverlängerung von Zahnradgetrieben. In: . Bd. VDI-Berichte, 2019, S. 261–270

Contact

This image shows Lukas Merkle

Lukas Merkle

M.Sc.

Vice Head of Drive Train Diagnostics and Prognostics

This image shows Lisa Binanzer

Lisa Binanzer

M.Sc.

Research Associate

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