Rui Nie

Prof. Dr. Rui Nie


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 November 2024 in ISA Transactions
Verified
Journal Article
Closed access
XLXiaochao Liu
Xiaochao Liu
ZWZhenyu Wang
Zhenyu Wang
ZQZhongyi Qiu
Zhongyi Qiu
ZJZongxia Jiao
Zongxia Jiao
XCXinghua Chen
Xinghua Chen
RNRui Nie
Rui Nie

14 June 2024 in Metals
Verified
Journal Article
Open access
PDF file
永王永杰 王
永杰 王
RNRui Nie
Rui Nie
XLXiaochao Liu
Xiaochao Liu
SWShijie Wang
Shijie Wang
YLYunlong Li
Yunlong Li
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.

17 December 2024 in Materials
Verified
Journal Article
Open access
PDF file
HSHao Su
Hao Su
CYChangyong Yang
Changyong Yang
YFYucan Fu
Yucan Fu
RNRui Nie
Rui Nie
The manufacturing precision of electro-hydraulic servo valve sleeves is critical to the performance and longevity of the valves. To ensure the service life of these valves, the valve sleeve is typically made from high-hardness martensitic stainless steel, which is considered a hard-to-cut material. Current honing methods often suffer from inefficiency and instability. This study compares the honing processes using electroplated and sintered oilstones, emphasizing processing efficiency and surface quality. Initially, the morphology of the oilstones was examined. Equivalent honing depth and material removal rate per unit width were developed to characterized material removal. The influence of various parameters on honing depth and material removal rates was explored, along with the surface morphology and roughness after honing. The results indicated that electroplated oilstones achieved a material removal rate 2.5 times higher than sintered oilstones. In contrast, sintered oilstones produced superior surface quality. To optimize both surface quality and efficiency, we proposed a sequential honing method: using electroplated oilstones for significant material removal followed by sintered oilstones for surface finishing, which enhanced efficiency by 1.6 times. Electroplated oilstone has broad application prospects in the field of precision and efficient machining of hydraulic components.