A thermodynamic model of sliding friction

Makkonen, Lasse

doi:10.1063/1.3699027

Cited by 35 publications

(15 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During braking the rotational speed of the tire is less, compared to a free-rolling tire, inducing slip. As the tire rolls and slides friction is created by hysteresis within the rubber (Bowden and Tabor, 1954;Moore, 1975), by deformations within the snow/ice (Klein-Paste and Sinha, 2010b;Tusima, 1977) and by the creation and destruction of interfaces at the contact points (Makkonen, 2012). The high sliding speeds can induce frictional melting (Higgins et al, 2008) and loose material (water, slush, wet or dry snow) has to be squeezed out of the contact area before friction can be obtained.…”

Section: Introductionmentioning

confidence: 99%

A decision support model to assess the braking performance on snow and ice contaminated runways

Klein-Paste

Bugge

Huseby

2015

Cold Regions Science and Technology

View full text Add to dashboard Cite

Pilots need accurate predictions on the quality of runway surface conditions when operating on snow/ice contaminated runways. These predictions are typically made by friction measurements, or by expert judgments of runway inspectors. This study presents a decision support model (the IRIS runway model) for runway inspectors that interprets descriptive data from SNOWTAM reports and predicts the braking action on the common scale from 1 to 5, ranging from "poor" to "good". The model is tested on two airports in Norway during the winter seasons 2008/2009 to 2010/2011. Two other predictors of the braking action (assessments by runway inspectors and friction measurements) were also included. Analyses of 1261 friction-limited landings of commercial airplanes were used to compare predicted and measured braking actions. The IRIS runway model was found to be more conservative than the assessments of Norwegian runway inspectors, and even more conservative than friction measurements. In 86% of the landings, the IRIS runway model predicted the conditions within ±1 category of what the airplanes experienced, compared to 77% achieved by the runway inspectors. The predictions by the friction measurement devices were the least conservative and predicted the conditions within ±1 category in 61% of the landings. The model is now implemented in 15 airports in Norway.

show abstract

Section: Introductionmentioning

confidence: 99%

A decision support model to assess the braking performance on snow and ice contaminated runways

Klein-Paste

Bugge

Huseby

2015

Cold Regions Science and Technology

View full text Add to dashboard Cite

show abstract

“…In boundary (or dry) lubrication regime the frictional behavior is governed by the real contact area between the solids, in which adhesion is the main source of friction and heat dissipation [10,[20][21][22]. In this regime the thickness of the liquid water is indeed very low, in the order of magnitude of few molecular layers [23,24].…”

Section: Introductionmentioning

confidence: 99%

Friction of rough surfaces on ice: Experiments and modeling

Spagni

Berardo

Marchetto

et al. 2016

Wear

View full text Add to dashboard Cite

Over a century of scientific research on the sliding friction of ice has not been enough to develop an exhaustive explanation for the tribological behavior of frozen water. It has been recognized that ice shows different friction regimes, but a detailed description of all the different phenomena and processes occurring at the interface, including the effect of surface roughness of both the ice and the antagonist material is still missing. In this work the effect of surface morphology on the friction of steel/ice interfaces is studied. Different degrees of random roughness on steel surfaces are introduced and the friction coefficient is measured over a wide range of temperature and sliding velocity. Correlation between the surface roughness and the lubrication regime and friction coefficient is discussed. A theoretical model is developed in order to explain this correlation, and to control the tribological behavior of the system by a proper selection of surface roughness parameters.

show abstract

“…From the thermodynamic theory in [44], the friction force was proportional to the mean width of the real contacts in y direction. With an increase in the orientation angle, the mean width of the real contacts will decrease, if the geometry of this system remains the same, and the friction force should decrease gradually.…”

Section: Resultsmentioning

confidence: 99%

Influence of Nanoscale Textured Surfaces and Subsurface Defects on Friction Behaviors by Molecular Dynamics Simulation

Tong

Quan

Zhao³

et al. 2019

Nanomaterials

View full text Add to dashboard Cite

In nanomaterials, the surface or the subsurface structures influence the friction behaviors greatly. In this work, nanoscale friction behaviors between a rigid cylinder tip and a single crystal copper substrate are studied by molecular dynamics simulation. Nanoscale textured surfaces are modeled on the surface of the substrate to represent the surface structures, and the spacings between textures are seen as defects on the surface. Nano-defects are prepared at the subsurface of the substrate. The effects of depth, orientation, width and shape of textured surfaces on the average friction forces are investigated, and the influence of subsurface defects in the substrate is also studied. Compared with the smooth surface, textured surfaces can improve friction behaviors effectively. The textured surfaces with a greater depth or smaller width lead to lower friction forces. The surface with 45° texture orientation produces the lowest average friction force among all the orientations. The influence of the shape is slight, and the v-shape shows a lower average friction force. Besides, the subsurface defects in the substrate make the sliding process unstable and the influence of subsurface defects on friction forces is sensitive to their positions.

show abstract

A thermodynamic model of sliding friction

Cited by 35 publications

References 43 publications

A decision support model to assess the braking performance on snow and ice contaminated runways

A decision support model to assess the braking performance on snow and ice contaminated runways

Friction of rough surfaces on ice: Experiments and modeling

Influence of Nanoscale Textured Surfaces and Subsurface Defects on Friction Behaviors by Molecular Dynamics Simulation

Contact Info

Product

Resources

About