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)
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.
Key words
Shenyang University of Technology/Sheny ang/People's Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologie s/Machine Learning
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