首页|Shenyang University of Technology Researcher Updates Current Data on Machine Lea rning (Tribological Behavior Analysis of Valve Plate Pair Materials in Aircraft Piston Pumps and Friction Coefficient Prediction Using Machine Learning)
Shenyang University of Technology Researcher Updates Current Data on Machine Lea rning (Tribological Behavior Analysis of Valve Plate Pair Materials in Aircraft Piston Pumps and Friction Coefficient Prediction Using Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on artificial intelligence are present ed in a new report. According to news originating from Shenyang, People’s Republ ic of China, by NewsRx correspondents, research stated, “To address the problem of tribological failure in an aircraft piston pump valve plate pair, the frictio n 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-ri ng tester under lubrication with No. 15 aviation hydraulic oil.” Funders for this research include National Natural Science Foundation of China; Nit Natural Science Foundation.
Shenyang University of TechnologySheny angPeople's Republic of ChinaAsiaAlgorithmsCyborgsEmerging Technologie sMachine Learning
NETL
NSTL
