Experimental Study on Frictional Pairs of Piston Pumps

Xu, Liqiang; Lu, Yuanhui; Liu, Qingrui; Lin, Lekang; Mu, Jianhui

doi:10.1007/s11668-022-01371-3

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…After the experiment, the specimens were removed, cleaned again using an ultrasonic CNC cleaning machine, air-dried, and observed for friction and wear morphology on the surface using SEM. Based on the obtained friction force signals during the experiment, post-amplification and input into the computer through A/D conversion allowed the COF data from the friction force signals to be calculated, with the COF µ calculated using Equation ( 1) [19]. The variation curve of the COF of the valve plate pair materials was plotted, and the results were analyzed using machine ML models.…”

Section: • Experimental Processmentioning

confidence: 99%

“…In Milojević et al [18], the results of a laboratory study on an experimental engine were presented with discussion of a series of specific parameters (characteristics), such as compression ratio, fuel injection timing, engine speed, and the influence of load on the combustion process and exhaust emissions. Xu et al [19] studied the variation in COF of the swash plate through dry and wet wear tests, finding that the sample wore unevenly in dry friction tests, the COF increased rapidly, and the sample failed due to wear. However, the use of a lubricating oil significantly reduced the COF: the higher the speed, the lower the COF; the larger the load, the higher the COF.…”

Section: Introductionmentioning

confidence: 99%

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Tribological Behavior Analysis of Valve Plate Pair Materials in Aircraft Piston Pumps and Friction Coefficient Prediction Using Machine Learning

Wang,

Nie,

Liu

et al. 2024

Metals

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To address the problem of tribological failure in an aircraft piston pump valve plate pair, the friction and wear properties of the valve plate pair materials (W9Mo3Cr4V-HAl61-4-3-1) of an axial piston pump at a certain speed and load were studied using a disc-ring tester under lubrication with No. 15 aviation hydraulic oil. The results show that the friction coefficient (COF) fluctuated in the range of 0.019~0.120 when the load (L) increased from 30 N to 120 N, and the speed increased from 100 r/min to 500 r/min. With the increase in the rotational speed, the COF of the valve plate pair decreased first and then increased. When the rotation speed (V) was 300 r/min, the relative COF was the smallest. Under L lower than 60 N, abrasive wear was the main wear mechanism. Under L higher than 90 N, the main wear mechanism was adhesive wear but mild oxidation wear also occurred. In addition, based on the V, L, radius (R), and test duration (T), which affected COF, the random forest regression (RFR) algorithm, the bagging regression (BR) algorithm, and the extra trees regression (ETR) algorithm were used as machine learning methods to predict the COF of the valve plate pair. Mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2) were used to evaluate its performance, with the results showing that the ETR prediction model was the best method for predicting COF. The results of the machine learning also showed that the contributions of V, L, R, and T were 43.56%, 36.76%, 13.13%, and 6.55%, respectively, indicating that V had the greatest influence on the COF of the W9Mo3Cr4V/HAl61-4-3-1 friction pair. This study is expected to provide support for the rapid development of new valve plate pair materials.

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Section: • Experimental Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tribological Behavior Analysis of Valve Plate Pair Materials in Aircraft Piston Pumps and Friction Coefficient Prediction Using Machine Learning

Wang,

Nie,

Liu

et al. 2024

Metals

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“…5 The tribopairs are a crucial component of the plunger pump, and their lifespan and reliability greatly affect the pump's performance. 6 Hence, enhancing the tribological performance of the plunger pump tribopairs could solve the problem that the key tribopairs of the plunger pump are prone to wear, [7][8][9] leading to an overall improvement in the pump's service life.…”

Section: Introductionmentioning

confidence: 99%

Tribological properties of a novel iron‐based self‐lubricating composite

Zhu,

Ahn,

Zheng

et al. 2024

Lubrication Science

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In this work, the tribological properties of a novel iron‐based self‐lubricating composite as the tribopairs of a plunger pump were systematically studied on an end‐face tribometer, and the tribological mechanism was also revealed. The results show that the wear mechanism of the composite can be ascribed to adhesive wear when the sliding speed is lower than 1.5 m/s. As the sliding speed increases from 1.5 to 2.0 m/s, the wear type transforms to oxidative wear due to the increase of tribo‐oxidation. In addition, the failure criteria of the tribopair composite materials are summarised. When the average coefficient of friction is greater than 0.04, or the wear rate is greater than 9.66 μm3/(N m), the tribopair fails. This offers a valuable reference for industrial application of the tribopairs made from the iron‐based self‐lubricating composite.

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A comprehensive fracture research of an aircraft swash-plate pump

Saraçyakupoğlu

2022

Engineering Failure Analysis

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Experimental Study on Frictional Pairs of Piston Pumps

Cited by 6 publications

References 7 publications

Tribological Behavior Analysis of Valve Plate Pair Materials in Aircraft Piston Pumps and Friction Coefficient Prediction Using Machine Learning

Tribological Behavior Analysis of Valve Plate Pair Materials in Aircraft Piston Pumps and Friction Coefficient Prediction Using Machine Learning

Tribological properties of a novel iron‐based self‐lubricating composite

A comprehensive fracture research of an aircraft swash-plate pump

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