This book provides the tools to enhance the precision, automation and intelligence of modern CNC machining systems. Based on a detailed description of the technical foundations of the machining monitoring system, it develops the general idea of design and implementation of smart machining monitoring systems, focusing on the tool condition monitoring system.
The book is structured in two parts. Part I discusses the fundamentals of machining systems, including modeling of machining processes, mathematical basics of condition monitoring and the framework of TCM from a machine learning perspective. Part II is then focused on the applications of these theories. It explains sensory signal processing and feature extraction, as well as the cyber-physical system of the smart machining system.
Its utilisation of numerous illustrations and diagrams explain the ideas presented in a clear way, making this book a valuable reference for researchers, graduate students and engineers alike.
Cover Front Matter 1. Introduction to the Smart Machining System 2. Modeling of the Machining Process 3. Tool Wear and Modeling 4. Mathematical Foundations of Machining System Monitoring 5. The Smart Machining System Monitoring from Machine Learning View 6. Signal Processing for Machining Process Modeling and Condition Monitoring 7. Tool Condition Monitoring with Sparse Decomposition 8. Machine Vision Based Smart Machining System Monitoring 9. Tool Wear Monitoring with Hidden Markov Models 10. Sensor Fusion in Machining System Monitoring 11. Big Data Oriented Smart Tool Condition Monitoring System 12. The Cyber-Physical Production System of Smart Machining System
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