Running-in period for the abrasive wear of austenitic steels

Zambrano, O.A.; Muñoz, Eduardo Castrillón; Rodríguez, S.A.; Coronado, J.J.

doi:10.1016/j.wear.2020.203298

Cited by 30 publications

(9 citation statements)

References 19 publications

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“…Indeed, the friction coefficient, the wear coefficient, the temperature and the contact area evolve non-linearly in time [7]. Wear studies focusing on running-in were essentially done experimentally by studying the topographic evolution of the contact surface [8][9][10][11] and analytically by studying the influence of particles on wear [6,12].…”

Section: Introductionmentioning

confidence: 99%

Numerical model to predict wear of dynamically loaded plain bearings

Regis

Linares

Arroyave-Tobón

et al. 2022

Wear

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Section: Introductionmentioning

confidence: 99%

Numerical model to predict wear of dynamically loaded plain bearings

Regis

Linares

Arroyave-Tobón

et al. 2022

Wear

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“…The variation of friction coefficient with the sliding distance of the as-received and 100-8 FSSed samples at the applied loads of 5 and 20 N is illustrated in Figure 14(a, b), respectively. As seen, following the running-in period whose occurrence can be explained by increasing the real contact area, generation, actions, and ejection of entrapped wear debris between sliding surfaces (three-body abrasion), and work hardening of surfaces [46–48], a steady-state trend is attained in the friction behaviour of samples. During the steady-state period, FSS has significantly reduced both the average value and fluctuation range of the friction coefficient (Figure 14).…”

Section: Effect Of Fss On Tribological Propertiesmentioning

confidence: 99%

Enhancing the tribological properties of pure Ti by pinless friction surface stirring

Ashoori,

Jafarzadegan,

Taghiabadi

et al. 2023

Materials Science and Technology

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Friction surface stirring (FSS) was employed to enhance the tribological properties of commercially pure Ti (CP-Ti). Applying FSS under the optimised process parameters (i.e. rotation and traverse speeds of 100 rpm and 8 mm/min, respectively) was found to increase the surface hardness of as-received CP-Ti from about 200–630 HV. The sliding wear resistance was therefore increased by 76, 76, and 85% under applied loads of 5, 10, and 20 N, respectively. The average friction coefficient (AFC) of CP-Ti also reduced considerably by the FSS. For instance, the AFC was reduced from 0.67 ± 0.07 and 1.04 ± 0.14 to about 0.33 ± 0.03 and 0.45 ± 0.04 at the applied loads of 5 and 20 N, respectively. The wear and friction mechanisms were also discussed.

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“…It is an important stage before it is put into normal operation. A tribological system is a nonlinear system affected by many factors [3][4][5]. The run-in state and its development directly affect the tribo-pair's work efficiency and serviceable life [6].…”

Section: Introductionmentioning

confidence: 99%

Vectorial feature and evolution of run-in attractors for the AgCu-MoS₂/AgCu10 tribo-pair

Yang¹,

Zhang²,

Zhang³

et al. 2022

Surf. Topogr.: Metrol. Prop.

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Run-in process is a very critical stage before the solid self-lubricating friction pair reaches a steady state. For the identification and prediction of run-in states for AgCu-MoS2/AgCu10 tribo-pair, it is important to understand its evolution law. The run-in tests were carried out under different conditions with a pin-on-disc tribometer, and its friction coefficient signal was collected. Reconstructing phase trajectories using phase space reconstruction and principal component analysis is presented. As an alternative to traditional parameters, we propose vectorial feature parameters with minimum cosine similarity (S_cos_min) and maximum distance between adjacent phase points (Dist_max). S_cos_min and Dist_max identify changes in state and characteristics of the run-in attractor, as well as describe its evolution. The evolution of transfer film morphology on the counter surface demonstrated that the vectorial feature parameters could be used as run-in criteria.

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Running-in period for the abrasive wear of austenitic steels

Cited by 30 publications

References 19 publications

Numerical model to predict wear of dynamically loaded plain bearings

Numerical model to predict wear of dynamically loaded plain bearings

Enhancing the tribological properties of pure Ti by pinless friction surface stirring

Vectorial feature and evolution of run-in attractors for the AgCu-MoS₂/AgCu10 tribo-pair

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Running-in period for the abrasive wear of austenitic steels

Cited by 30 publications

References 19 publications

Numerical model to predict wear of dynamically loaded plain bearings

Numerical model to predict wear of dynamically loaded plain bearings

Enhancing the tribological properties of pure Ti by pinless friction surface stirring

Vectorial feature and evolution of run-in attractors for the AgCu-MoS2/AgCu10 tribo-pair

Contact Info

Product

Resources

About

Vectorial feature and evolution of run-in attractors for the AgCu-MoS₂/AgCu10 tribo-pair