Knowledge-based design of surface textures for TEHL contacts

Marian M, Tremmel S, Wartzack S (2019)


Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2019

Event location: Wiener Neustadt AT

Abstract

Dwindling resources and stricter legal requirements call for efficient machine elements and engine components. Therefore, tribological contacts with low frictional losses are vital. This can be achieved, for example, by applying discrete micro-textures to the surfaces of contacting bodies in lubricated tribological systems. While this approach has already been intensively investigated for lower loaded conformal contacts under hydrodynamic lubrication, the application and design of surface textures for higher loaded, non-conformal contacts under thermo-elastohydrodynamic lubrication (TEHL) is much more controversially discussed and still under basic research.

In this context, tribo-simulations offer the great potential to explore the underlying basic mechanisms in terms of friction and wear reduction and to facilitate design optimization in order to avoid time-consuming and costly trial-and-error experiments. The aim of this contribution was therefore to investigate the impact of different micro-texture’s characteristics on the tribological behavior using transient 3D TEHL simulations based upon a full-system approach. Meta-models of optimal prognosis (MOP) and evolutionary algorithms (EA) were utilized to predict optimized and robust texture designs with reasonable computational effort.

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How to cite

APA:

Marian, M., Tremmel, S., & Wartzack, S. (2019). Knowledge-based design of surface textures for TEHL contacts. In Proceedings of the 3rd Young Tribological Researcher Symposium. Wiener Neustadt, AT.

MLA:

Marian, Max, Stephan Tremmel, and Sandro Wartzack. "Knowledge-based design of surface textures for TEHL contacts." Proceedings of the 3rd Young Tribological Researcher Symposium, Wiener Neustadt 2019.

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