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RISPrediction of Material Removal Rate for Chemical Mechanical Planarization Using Decision Tree-Based Ensemble Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Chemical mechanical planarization (CMP) has been widely used in the semiconductor industry to create planar surfaces with a combination of chemical and mechanical forces. A CMP process is very complex because several ...
Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Prognostics and health management (PHM) of bearings is crucial for reducing the risk of failure and the cost of maintenance for rotating machinery. Model-based prognostic methods develop closed-form mathematical models ...
Predicting Flexural Strength of Additively Manufactured Continuous Carbon Fiber-Reinforced Polymer Composites Using Machine Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Carbon fiber-reinforced polymer (CFRP) composites have been used extensively in the aerospace and automotive industries due to their high strength-to-weight and stiffness-to-weight ratios. Compared with conventional ...