A thermodynamic approach for predicting fretting fatigue life

Quraishi, Sarosh Mumtaz; Khonsari, M. M.; Baek, Dae Kyun

doi:10.1007/s11249-005-6143-7

Cited by 33 publications

(12 citation statements)

References 21 publications

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“…The work can be extended to determine the critical damage parameter in processes involving fretting fatigue and to predict fretting fatigue life of machine element (cf. Quraishi et al 2005).…”

Section: Discussionmentioning

confidence: 99%

On the thermodynamics of degradation

2008

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The science base that underlies modelling and analysis of machine reliability has remained substantially unchanged for decades. Therefore, it is not surprising that a significant gap exists between available machinery technology and science to capture degradation dynamics for prediction of failure. Further, there is a lack of a systematic technique for the development of accelerated failure testing of machinery components. This article develops a thermodynamic characterization of degradation dynamics, which employs entropy, a measure of thermodynamic disorder, as the fundamental measure of degradation; this relates entropy generation to irreversible degradation and shows that components of material degradation can be related to the production of corresponding thermodynamic entropy by the irreversible dissipative processes that characterize the degradation. A theorem that relates entropy generation to irreversible degradation, via generalized thermodynamic forces and degradation forces, is constructed. This theorem provides the basis of a structured method for formulating degradation models consistent with the laws of thermodynamics. Applications of the theorem to problems involving sliding wear and fretting wear, caused by effects of friction and associated with tribological components, are presented.

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Section: Discussionmentioning

confidence: 99%

On the thermodynamics of degradation

2008

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“…Using Fig. 2 with the Poisson's ratio ν 0 = 0.3, and the critical damage value of D c = 0.6 for JIS-S45C [24], a maximum thermal-conductivity reduction of 19 % is obtained which is around the percentage of the thermal-conductivity reduction for tension-compression and bending fatigue results of Kato and Takahashi [6]. Figure 7 presents the results of the analytical thermal-conductivity ratio variation and damage evolution based on Eq.…”

Section: Thermal-conductivity Measurement Apparatusmentioning

confidence: 99%

On the Characterization of Thermal-Conductivity Degradation During Torsional Fatigue

Naderi

Khonsari

2011

Int J Thermophys

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The thermal conductivity of a metal, subjected to cyclic loading, changes as it degrades due to the appearance of micro-cracks and micro-voids. This continues up to the critical stage where macro-cracks are created and failure occurs. In this study, a theoretical model for thermal-conductivity deterioration is presented that accounts for the cyclic loading. To examine the validity of the results obtained from a theoretical model, an apparatus is designed to measure thermal-conductivity degradation by means of the guarded-comparative-longitudinal heat-flow technique. Results of a series of thermal-conductivity measurements at several stages of torsional fatigue tests are presented. It is shown that the thermal conductivity of Al 6061-T6 decreases approximately 8 % to 12 % before complete failure takes place.

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“…Therefore, wear is treated as the volume wide degradation of the surface layer. The representative volume element (RVE) could be defined in this sense [27].…”

Section: Cdm Theorymentioning

confidence: 99%

“…Lamaitre [24] and more recently Bhattacharya and Ellingwood [25] have significantly contributed to development of the CDM by treating the ''growth of damage'' as an irreversible process that obeys the laws of thermodynamics [26]. While application of CDM to fretting wear has already been demonstrated [27], the full potential of the theory to tribology applications remains largely unexplored.…”

Section: Introductionmentioning

confidence: 99%

A Thermodynamic Approach for Prediction of Wear Coefficient Under Unlubricated Sliding Condition

Beheshti

Khonsari

2010

Tribol Lett

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During a sliding process, the surface asperities tend to undergo fatigue fracture, break off, and form wear debris. This article applies the principles of continuum damage mechanics (CDM) to predict the appropriate adhesive wear coefficient. Using the CDM approach, we predict the number of cycles before crack nucleation sets in, evaluate the probability that an asperity forms a wear particle, and use this information to derive an expression for the wear coefficient. Experimental wear coefficient results for Aluminum 6061 sliding against stainless steel support the validity of the analytical expression for wear coefficient. A series of results are presented for the variation of wear coefficient as a function of friction coefficient for SAE 4340, Aluminum 6061, Aluminum 2024, and Titanium 6ALV4.

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A thermodynamic approach for predicting fretting fatigue life

Cited by 33 publications

References 21 publications

On the thermodynamics of degradation

On the thermodynamics of degradation

On the Characterization of Thermal-Conductivity Degradation During Torsional Fatigue

A Thermodynamic Approach for Prediction of Wear Coefficient Under Unlubricated Sliding Condition

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