On the Prediction of Transient Wear

Mortazavi, Vahid; Khonsari, M. M.

doi:10.1115/1.4032843

Cited by 22 publications

(14 citation statements)

References 23 publications

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“…It was shown in Ref. [26] that during running-in, wear depth increases with an increase in sliding time or number of cycles. Two distinct wear states can also be seen from Fig.…”

Section: Results Of Short Duration Testsmentioning

confidence: 99%

“…The short duration test is performed at low load (20 N) and high speed (500 rpm) conditions for 2 min of sliding time. At lower load and higher speed conditions, contacting asperities are removed very quickly from contacting bodies resulting in flattened rough surfaces [25,26]. Figure 5 shows the variation of the f with sliding time for eleven pin surfaces, S1-S11.…”

Section: Results Of Short Duration Testsmentioning

confidence: 99%

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The correlation between friction coefficient and areal topography parameters for AISI 304 steel sliding against AISI 52100 steel

Prajapati

Tiwari

2020

Friction

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Dry wear experiments provide an insight detail on how severely contacting surfaces change under unlubricated sliding condition. The theory of dry sliding wear is used for understanding mixed-lubrication regime in which asperity interactions play a significant role in controlling of the friction coefficient (f). The purpose of this work is to study the tribological behavior of AISI 304 steel in contact with AISI 52100 steel during wear. Both materials are used in rolling element bearings commanly. Experiments are carried out using a pin-on-disc tribometer under dry friction condition. The areal (three dimensional, 3D) topography parameters are measured using a 3D white light interferometer (WLI) with a 10× objective. After wear tests, wear mechanisms are analyzed utilizing scanning electron microscope (SEM). Factorial design with custom response surface design (C-RSD) is used to study the mutual effect of load and speed on response variables such as f and topography parameters. It is observed that the root mean square roughness (Sq) decreases with an increase in sliding time. Within the range of sliding time, Sq decreases with an increase in the normal load. Within the range of sliding speed and normal load, it is found that Sq, mean summit curvature (Ssc), and root mean square slope (Sdq) are positively correlated with f. Whereas, negative correlation is found between f and correlation length (Sal), mean summit radius (R), and core roughness depth (Sk).

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“…It was shown in Ref. [26] that during running-in, wear depth increases with an increase in sliding time or number of cycles. Two distinct wear states can also be seen from Fig.…”

Section: Results Of Short Duration Testsmentioning

confidence: 99%

Section: Results Of Short Duration Testsmentioning

confidence: 99%

The correlation between friction coefficient and areal topography parameters for AISI 304 steel sliding against AISI 52100 steel

Prajapati

Tiwari

2020

Friction

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“…1 Wear rate behaviour over time pins. Hanief and Wani [7,8] has predicted the surface roughness in transient regime with the help of Gauss newton algorithm where Lijesh, Mortazavi and Khonsari has led mathematical foundation for time constant [9,10] for transient regime.…”

Section: Introductionmentioning

confidence: 99%

Transient Wear FEA Modelling Using Extrapolation Technique for Steel-on-Steel Dry Sliding Contact

Joshi

Ramkumar

2022

Tribology Online

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Total wear in transient regime consists of transient wear and linear wear components. Within the transient regime metal possess higher wear rates than the steady state. FEM computational based wear models ignore transient regime which leads to higher error. This paper emphases on predicting the total wear in transient regime of 316 stainless steel pin against AISI 52100 bearing steel disc for 20 N and 30 N. Novel methodology is proposed to calculate individual wear components. Linear component by FEM based Abaqus software using an extrapolation technique to reduce computational time without compromising the accuracy. Transient component is calculated using Gauss Newton regression method. Further, total wear is modelled by addition of linear and transient wear components. Simulated total wear has good agreement with experimental wear error within 11% for both the loads. Corresponding transient wear rate was found to be approximately 2.5 times higher than steady state wear. This establishes the robustness of proposed methodology.

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“…The wear process is accompanied by energy conversion in the form of temperature, friction, and entropy production [38][39][40][41][42]. Therefore, the principle of irreversible thermodynamics can be used to predict the wear behavior of the friction system.…”

Section: Wear Prediction Model Based On Degradation Coefficientmentioning

confidence: 99%

Research on the Effect of Texture on Wear Performance of High-Pressure Piston Pump Valve Pair

Zhao

et al. 2021

Preprint

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In this paper, the surface wear performance of the valve pair of a high-pressure axial piston pump is improved. Firstly, the friction and wear tests are carried out for different materials of the axial piston pump valve pair. Moreover, the friction and wear behavior of the valve pair contact is studied. A valve pair material that is more suitable for processing surface texture is chosen. Friction and wear models of a valve pair based on degradation coefficient are proposed and wear conditions of different textures are calculated. Lastly, the texture with the best anti-wear effect is selected. Finally, the selected textures are experimentally validated by laser processing. The results show that a long strip with a diameter of 400 μm, a depth of 20 μm, and an area ratio of 2% can effectively reduce wear. Through comparative analysis, it is concluded that the texture shape has the least influence on the wear of the valve pair. On the other hand, the area ratio of the texture has the greatest effect on the wear of the valve pair. As the diameter of the texture increases, the wear of the valve pair gradually decreases. As the texture depth increases, the wear amount of the valve pair shows a downward trend.

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On the Prediction of Transient Wear

Cited by 22 publications

References 23 publications

The correlation between friction coefficient and areal topography parameters for AISI 304 steel sliding against AISI 52100 steel

The correlation between friction coefficient and areal topography parameters for AISI 304 steel sliding against AISI 52100 steel

Transient Wear FEA Modelling Using Extrapolation Technique for Steel-on-Steel Dry Sliding Contact

Research on the Effect of Texture on Wear Performance of High-Pressure Piston Pump Valve Pair

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