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Multi-Objective Optimization and Supervised Machine Learning for Synthesis of Rolling Element Bearing and Lubricant Selection
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This article introduces a novel approach for optimizing rolling element bearings design and lubricant selection utilizing elastohydrodynamic lubrication (EHL) theory. First, a Multi-Objective Optimization (MOO) is formulated, ...
Multi-Objective Optimization and Supervised Machine Learning for Synthesis of Rolling Element Bearing and Lubricant Selection
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This article introduces a novel approach for optimizing rolling element bearings design and lubricant selection utilizing elastohydrodynamic lubrication (EHL) theory. First, a Multi-Objective Optimization (MOO) is formulated, ...
An Economic Model Predictive Control Approach for Wind Power Smoothing and Tower Load Mitigation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Wind power intermittency represents one of the major challenges facing the future growth of grid-connected wind energy projects. The integration of wind turbines and energy storage systems (ESS) provides a viable approach ...
Optimum Solar Humidification–Dehumidification Desalination for Microgrids and Remote Area Communities
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents the optimization of a solarpowered humidification–dehumidification (HDH) desalination system for remote areas where it is assumed that only minimal external electric power (for operating control systems ...
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