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RISEffect of Microstructure on the Machinability of Natural Fiber Reinforced Plastic Composites: A Novel Explainable Machine Learning (XML) Approach
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Natural fiber-reinforced plastic (NFRP) composites are ecofriendly and biodegradable materials that offer tremendous ecological advantages while preserving unique structures and properties. Studies on using these natural ...
Uncertainty Quantification and Optimal Robust Design for Machining Operations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this study, we carry out robust optimal design for the machining operations, one key process in wafer polishing in chip manufacturing, aiming to avoid the peculiar regenerative chatter and maximize the material removal ...
Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The recent COVID19 pandemic reveals the vulnerability of global supply chains: the unforeseen supply crunches and unpredictable variability in customer demands lead to catastrophic disruption to production planning and ...
Acoustic Emission Characterization of Natural Fiber Reinforced Plastic Composite Machining Using a Random Forest Machine Learning Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Natural fiber reinforced plastic (NFRP) composites are eliciting an increased interest across industrial sectors, as they combine a high degree of biodegradability and recyclability with unique structural properties. These ...