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Predictive Modeling of Real Contact Area on Rough Surfaces Using Deep Artificial Neural Network
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A computational approach employing the boundary element method (BEM) and a deep artificial neural network (ANN) is proposed to accurately predict the real contact area (RCA) for rough surfaces. A BEM-generated dataset is ...
Topography Analysis of Random Anisotropic Gaussian Rough Surfaces
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Engineered surfaces (ground and similarly structured rough surfaces) show anisotropic characteristics and their topography parameters are direction dependent. Statistical characterization of these surfaces is still complex ...
Assessment of Topography Parameters During Running-In and Subsequent Rolling Contact Fatigue Tests
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Rolling contact fatigue (RCF) is one of the major problems observed in gear mechanisms, which leads to high friction, ultimately resulting in high energy consumption. This paper demonstrates the evolution of surface ...
Assessment of Topography Parameters During Running-In and Subsequent Rolling Contact Fatigue Tests
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Rolling contact fatigue (RCF) is one of the major problems observed in gear mechanisms, which leads to high friction, ultimately resulting in high energy consumption. This paper demonstrates the evolution of surface ...