Detail publikace

Numerical prediction on the effect of friction modifiers on adhesion behaviours in the wheel-rail starved EHL contact

LI, Q. WU, B. DING, H. GALAS, R. KVARDA, D. LIU, Q. ZHOU, Z. OMASTA, M. WANG, W.

Originální název

Numerical prediction on the effect of friction modifiers on adhesion behaviours in the wheel-rail starved EHL contact

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Previous third body studies for wheel/rail are mainly concentrated on water or oil condition. However, friction modifiers (FMs) represent a new approach to managing adhesion coefficient in wheel/rail interface. In this paper, the position of the FM-air meniscus was given as input parameter, the thickness of FM can be solved easily with the multi-grid method. Non-Newtonian fluid model and micro-EHL analysis combined to obtain the relation between the adhesion coefficient and the quantity of FM. The results show that the quantity of FM has a significant effect on the initial adhesion coefficient within a certain range. Besides, the initial adhesion coefficient decreases gradually until it reach stable value with the increase of the quantity of FM.

Klíčová slova

friction modifier; applied quantity; starved EHL; wheel; rail adhesion

Autoři

LI, Q.; WU, B.; DING, H.; GALAS, R.; KVARDA, D.; LIU, Q.; ZHOU, Z.; OMASTA, M.; WANG, W.

Vydáno

8. 3. 2022

Nakladatel

Elsevier

Místo

Nizozemsko

ISSN

0301-679X

Periodikum

Tribology International

Ročník

170

Číslo

červen

Stát

Spojené království Velké Británie a Severního Irska

Strany od

107519

Strany do

107519

Strany počet

11

URL

BibTex

@article{BUT179659,
  author="LI, Q. and WU, B. and DING, H. and GALAS, R. and KVARDA, D. and LIU, Q. and ZHOU, Z. and OMASTA, M. and WANG, W.",
  title="Numerical prediction on the effect of friction modifiers on adhesion behaviours in the wheel-rail starved EHL contact",
  journal="Tribology International",
  year="2022",
  volume="170",
  number="červen",
  pages="11",
  doi="10.1016/j.triboint.2022.107519",
  issn="0301-679X",
  url="https://www.sciencedirect.com/science/article/pii/S0301679X22000925"
}