2008
DOI: 10.1016/j.wear.2007.01.037
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Finite element modelling of fretting wear surface evolution: Application to a Ti–6A1–4V contact

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Cited by 89 publications
(36 citation statements)
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References 23 publications
(38 reference statements)
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“…Therefore dissipated energy method can highlight the effect of debris on fretting wear for adhesive materials, which is made possible to simulate fretting wear with the presence of debris. [12,13] If =0, it is a non-adhesive wear contact, in which the debris can eject immediately. G is expressed as:…”
Section: Dissipated Energy Methodsmentioning
confidence: 99%
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“…Therefore dissipated energy method can highlight the effect of debris on fretting wear for adhesive materials, which is made possible to simulate fretting wear with the presence of debris. [12,13] If =0, it is a non-adhesive wear contact, in which the debris can eject immediately. G is expressed as:…”
Section: Dissipated Energy Methodsmentioning
confidence: 99%
“…Reference [13] presented an FE technique to predict fretting wear of Ti-6Al-4V based on dissipated energy method.…”
Section: Dissipated Energy Methodsmentioning
confidence: 99%
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“…Similar concepts were applied in [8] using an energy-based wear model. Previous attempts to model fretting wear have been conducted by implementing the cycle jump technique.…”
Section: Tangential Force Q(t)mentioning
confidence: 99%
“…The advantage of FEM is that it can describe the local contact information and fretting damage during the fretting wear process, which is difficult to achieve by experiment. However, most of the models that are used to predict fretting wear do not consider the effect of roughness [18][19][20] due to the small size of asperities and its statistical distribution leading to high computational demanding. Though the semi-analytical model proposed by Kasarekar et al [21] and the discrete element approach study done by Leonard et al [22] simulated the effects of roughness on fretting wear, both of them only neglected the random nature of the rough surfaces, analysing only one roughness profile per case.…”
mentioning
confidence: 99%