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RISMulti-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, ...
Functional Synthesis of Manufacturing Systems Using Co-Platforming to Minimize Cost of Machines and System Changes
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Manufacturing systems need to be designed to cope with products’ variety and frequent changes in market requirements. Switching between product families in different production periods often requires reconfiguration of the ...