2015
DOI: 10.1177/1687814015584542
|View full text |Cite
|
Sign up to set email alerts
|

Thermomechanical analysis of an elastoplastic rough body in sliding contact with flat surface and the effect of adjacent contact asperity

Abstract: The study of the instantaneous frictional temperature, stress, and equivalent plastic strain generated when two surfaces are in frictional sliding process plays a significant role in understanding friction and wear mechanism. A thermomechanical coupling model between a rough body and a flat body is established. The model integrates the heat flux coupling between the sliding surfaces and considers the effects of the interaction among contact asperities and elastoplastic deformation of the rough body. The thermo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 24 publications
0
2
0
Order By: Relevance
“…Notably, cellulose materials undergo a structural transform to form hydrocarbons and coke under high−temperature (below 350 • C) and high−pressure (atmospheric pressure) conditions [26]. During the sliding process, the frictional instantaneous temperature will rise to 300 • C [27,28]. It is reasonable to infer that these organic−chain mixed nanosheets are favorable for achieving an ultralow wear state.…”
Section: Anti-wear Mechanismmentioning
confidence: 99%
“…Notably, cellulose materials undergo a structural transform to form hydrocarbons and coke under high−temperature (below 350 • C) and high−pressure (atmospheric pressure) conditions [26]. During the sliding process, the frictional instantaneous temperature will rise to 300 • C [27,28]. It is reasonable to infer that these organic−chain mixed nanosheets are favorable for achieving an ultralow wear state.…”
Section: Anti-wear Mechanismmentioning
confidence: 99%
“…3,4 Many influencing factors, such as cutting parameters, cutting forces, workpiece materials, tool parameters, and the vibration between the workpiece and tool, should be considered in the 3D surface topography prediction model. 5,6 According to the research status of surface topography prediction, there are three methods: artificial intelligence, 1,4,[7][8][9] experimental methods, [10][11][12][13][14][15][16] and theoretical analysis methods. 17,18 The advantages and disadvantages of the three methods are apparent.…”
Section: Introductionmentioning
confidence: 99%