Study the Influence of Surface Morphology and Lubrication Pressure on Tribological Behavior of 316L–PTFE Friction Interface in High-Water-Based Fluid

Man, Jiaxiang; Zhao, Jun; Song, Liangchen; Yang, Haifeng

doi:10.3390/coatings10040405

Cited by 7 publications

(6 citation statements)

References 22 publications

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“…As follows from Formulas (1) and ( 2), the wear of machine parts is related to the load capacity of the lubricating film. Therefore, lubricity can be included among the most important parameters of lubricants, affecting the life of the tribological system [49]. The results of the Reichert test and the determination of KV at 100 • C testing of new motor oils are shown in Figure 2.…”

Section: Evaluation Of Fresh Motor Oils Lubricitymentioning

confidence: 99%

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Study of the Effect of Physicochemical Degradation and Contamination of Motor Oils on Their Lubricity

et al. 2021

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Internal combustion engine lubrication is essential for unwanted energy and material losses. As part of the experimental work, the lubricity of both new and worn motor oils of Society of Automotive Engineers (SAE) 15W-40 and SAE 10W-40 with different American Petroleum Institute (API) performance classifications, which were taken from various motor trains during maintenance or oil change, was assessed. A total of sixteen lubricant samples were evaluated. Lubricity, i.e., the load capacity of the lubricating film, was evaluated on the basis of the Reichert test. Viscosity, as one of the most important parameters of lubricants, was evaluated by the Stabinger Viscometer. Chemical degradation of motor oils (oxidation, nitration, sulfation), contamination of oils with fuel, soot, water, and loss of antioxidant zinc dialkyldithiophosphate (ZDDP) were monitored by Fourier-transform infrared (FTIR) spectroscopy. Of the fresh motor oils, OMV 10W-40 API SL/CF motor oil had the best lubricity. URANIA LD 15W-40 API CI-4 and M7ADS V 15W-40 API CI-4 CH-4/SL oils showed similar lubricity. M7ADS III 15W-40 API CF-4/SG motor oil showed the highest wear of wear surface, i.e., the lowest lubricity, of the tested new motor oils. Correlation analysis of the experimental data confirmed that the fuel content penetrated the motor oils significantly negatively correlates with the viscosity (R = −0.87). The low water contamination in motor oil does not cause a significant negative effect on lubricity. A significant correlation between the oxidation, nitration, and sulfation products of chemical degradation of the tested oils was confirmed (R ≥ 0.90). These degradation products improve lubricity due to their polarity, i.e., they have caused better lubricity of worn oils compared to new motor oils. Even the depletion of the antioxidant ZDDP did not affect the reduction in lubricity and anti-abrasion properties of chemically degraded motor oils. The experimental results of testing of worn motor oils taken from motor trains showed that current motor oils have excellent lubricity, which they maintain throughout their life.

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Section: Evaluation Of Fresh Motor Oils Lubricitymentioning

confidence: 99%

“…11, x FOR PEER REVIEW 9 of 19 portant parameters of lubricants, affecting the life of the tribological system[49]. The results of the Reichert test and the determination of KV at 100 °C testing of new motor oils are shown in Figure2.…”

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confidence: 99%

Study of the Effect of Physicochemical Degradation and Contamination of Motor Oils on Their Lubricity

et al. 2021

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“…Essa et al 24 used ANSYS software to study the effect of ZnO and MoS 2 solid lubricants on the high temperature tribological properties of M50 steel matrix composites. Man et al 25 used ANSYS software to study the influence of lubricating pressure and surface morphology on the friction properties of stainless-steel and PTFE composites. Given the wide range of ANSYS applications in the materials field, therefore, the work used ANSYS software to simulate the temperature and friction changes of composites in the frictional process.…”

Section: Introductionmentioning

confidence: 99%

Effect of glass fibers length on the properties of polytetrafluoroethylene composites reinforced by glass fibers and graphite: Experimental and simulation study

Xiao

Gao

2021

High Performance Polymers

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Polytetrafluoroethylene (PTFE)-based matrix composites filled with glass fibers (GF) and graphite (GR) were prepared by an internal mixer and molded using a compression mold to produce test samples. The objective was to study the mechanical and tribological properties of PTFE composites filled with different lengths of GF. The fillers of GR and GF were 5 and 15 wt.%, respectively, with the lengths of the GF of 15, 20, 25, 30, and 35-μm in the work. The mechanical performance tests and tribological tests were carried out under the same conditions. The experimental results revealed that the mechanical properties and tribological properties of the PTFE composites filled with GF and GR were associated with the lengths of GF. When the length of GF increased from 15 to 20 μm, GF could be homogeneously dispersed in the PTFE-based matrix composites and the tensile strength reached the maximum value of 21.7 ± 3.3% MPa. Also, with 20-μm long GF, the composites exhibited the lowest coefficient of friction values and wear rates compared to PTFE with GF of the other lengths. The changes in frictional heat generation and frictional force of the composites during sliding friction were simulated using the finite element method. The theoretical simulation results matched with the experimental values, which proved the accuracy of the theoretical simulations.

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“…The tribological behaviors of PTFE parts were closely related to the friction surface morphology. [1][2][3] The coefficient of friction tends to increase with increasing sliding speed and to decrease with increasing contact pressure. Chemically, it was reported that transfer film formation depends on the surface energy of the counter material.…”

Section: Introductionmentioning

confidence: 99%

A study of using back-propagation neural model in automatic lubrication installation for the feeding system of computer numerical control machine tool

Chen

Haung

2021

Proceedings of the Institution of Mechanical Engineers, Part J:

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Nowadays, the feeding systems of computer numerical control machine tools are lubricated by periodic oil supply or fixed stroke, the lubrication is insufficient in the case of high load and high-speed movement, and the lubrication is excessive during finishing and low feed rate. This study discusses the optimum lubrication timing of the feeding system. When the feeding system is moving, the servomotor torque value and current, accuracy, and oil film thickness are measured by sensors. Moreover, the lubrication characteristic model is validated and built by using the sensor values, and the optimal lubrication state estimation is obtained by using the back-propagation neural model. Then analyzed and feedback to the machine tool controller, to intelligent the lubrication system. According to the test, when the feed rate is increased by 5 m/min, the friction coefficient increases with rate, increasing the output of the frictional value of the work table by 6.90%. When the load is increased by 175 kg, the friction coefficient decreases with load, reducing the frictional value output of table movement by 6.71%. In the relationship between oil film thickness and current, the accuracy difference between the prediction and actual test results is less than 10%; in the case of the same accuracy, the oil supply frequency is reduced by 80%, and environmentally friendly machine tool has been achieved.

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Study the Influence of Surface Morphology and Lubrication Pressure on Tribological Behavior of 316L–PTFE Friction Interface in High-Water-Based Fluid

Cited by 7 publications

References 22 publications

Study of the Effect of Physicochemical Degradation and Contamination of Motor Oils on Their Lubricity

Study of the Effect of Physicochemical Degradation and Contamination of Motor Oils on Their Lubricity

Effect of glass fibers length on the properties of polytetrafluoroethylene composites reinforced by glass fibers and graphite: Experimental and simulation study

A study of using back-propagation neural model in automatic lubrication installation for the feeding system of computer numerical control machine tool

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