Publication detail

Gear Shift Investigation Using Virtual Prototype

PROKOP, A. ŘEHÁK, K. ZAJAC, R. OTIPKA, V.

Original Title

Gear Shift Investigation Using Virtual Prototype

Type

conference paper

Language

English

Original Abstract

The presented paper deals with prediction of vibro-acoustic behavior of heavy-duty transmission concept by application of virtual prototype. The methodology was developed by combination of both, numerical and experi-mental approach on single stage gearbox. The results from both approaches were compared to validate computational simulation for the purpose to use numerical model for assembly with higher level of complexity. The whole methodology is applied on heavy-duty transmission concept. For the purpose of easy application to different gearbox concept, the more complex model is written as open code. This enables to include gear shift option tuning, which can significantly affect vehicle comfort. This paper is mainly focused on the investigation of different gear shift process influence on the surface normal velocity which is evaluated on the gearbox housing and is related to the acoustic behaviour. The different com-bination of clutch activation and deactivation profile at different torque is inves-tigated and evaluated by surface normal velocity at most sensitive locations. Based on the results, the multibody model can be used at designing and optimi-zation phase from the vibro-acoustic point of view.

Keywords

Vibration, gear shift, multi-body simulation, gearbox.

Authors

PROKOP, A.; ŘEHÁK, K.; ZAJAC, R.; OTIPKA, V.

Released

30. 5. 2019

Publisher

Springer Science and Business Media Deutschland GmbH

ISBN

978-3-030-54135-4

Book

Acoustics and Vibration of Mechanical Structures—AVMS 2019

Pages from

415

Pages to

424

Pages count

8

BibTex

@inproceedings{BUT160201,
  author="Aleš {Prokop} and Kamil {Řehák} and Roman {Zajac} and Václav {Otipka}",
  title="Gear Shift Investigation Using Virtual Prototype",
  booktitle="Acoustics and Vibration of Mechanical Structures—AVMS 2019",
  year="2019",
  pages="415--424",
  publisher="Springer Science and Business Media Deutschland GmbH",
  doi="10.1007/978-3-030-54136-1\{_}43",
  isbn="978-3-030-54135-4"
}