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Development of a Machine Learning Model for Elastohydrodynamic Pressure Prediction in Journal Bearings1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a machine learning neural network capable of approximating pressure as the distributive result of elastohydrodynamic (EHD) effects for a journal bearing at steady state. Design of efficient, reliable ...
Effects of Chevron Micro-Textures on Tribological and Lubricating Performance of Cylinder Block/Valve Plate Interface in Axial Piston Pumps
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The cylinder block/valve plate interface is one of the major power loss sources and main failure points in axial piston pumps and motors. Surface micro-texture has been proven to be an effective approach to reduce friction ...