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A Machine Learning (Gramian Angular Field + SVR-PSO) Model for In-Process Cutting Tool Wear Assessment Using Multisensor Heterogeneous Data Fusion
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. This research developed a tool wear assessment system using sensor data fusion and machine learning. A transition in the dominant tool wear mechanism from abrasive to adhesive or diffusion is induced by variations ...
A Machine Learning Approach to Predict Tribological Properties of Heat-Treated Al7075/3 wt% Carbon Nanotube Composites
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. This research studies the wear characteristics of various heat-treated Al7075/3 wt% carbon nanotubes (CNTs) metal matrix composites processed by the casting process. The wear characteristics of both untreated ...
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