Design of artificial neural networks for slipper analysis of axial piston pumps
Author:
Publisher
Emerald
Subject
Surfaces, Coatings and Films,General Energy,Mechanical Engineering
Reference11 articles.
1. An Investigation on the Performance of Hydrostatic Pumps Using Artificial Neural Network
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3. Neural network analysis of leakage oil quantity in the design of partially hydrostatic slipper bearings
4. Design of an Artificial Neural Network for Analysis of Frictional Power Loss of Hydrostatic Slipper Bearings
5. Modelling and simulation of an axial piston variable displacement pump with pressure control
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1. Multi-objective optimization of tribological properties of camshaft bearing pairs using DNN coupled with NSGA-II algorithm and TOPSIS;Industrial Lubrication and Tribology;2024-06-18
2. A Computation Fluid Dynamics Methodology for the Analysis of the Slipper–Swash Plate Dynamic Interaction in Axial Piston Pumps;Fluids;2023-09-01
3. Lubrication characteristics of the slipper–swash-plate interface in a swash-plate-type axial piston pump;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2020-06-26
4. Prediction of Leakage from an Axial Piston Pump Slipper with Circular Dimples Using Deep Neural Networks;Chinese Journal of Mechanical Engineering;2020-03-30
5. Experimental Research on the Dynamic Lubricating Performance of Slipper/Swash Plate Interface in Axial Piston Pumps;Chinese Journal of Mechanical Engineering;2020-03-06
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