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Smart Machining Systems

Part of the Springer Series in Advanced Manufacturing Book Series

DOI: 10.1007/978-3-030-87878-8

ISBN: 978-3-030-87877-1

Publisher: Springer International Publishing - Springer Journals

Nov 24, 2021

1 - 10 of 12 Chapters

Available

Introduction to the Smart Machining System

Zhu, Kunpeng

Pages: 1 –18

[We are now living in the new era of the fourth industrial revolution (Industry 4.0). The important sign of this era is the fast developing of 3C (computation, communication, control) and AI (artificial intelligence) technologies, as well as their pervasive applications uses in the manufacturing...
Available

Modeling of the Machining Process

Zhu, Kunpeng

Pages: 19 –70

[The primary goal of machining process modeling is to improve machining performance prediction. The most studied predictive methods are analytical, numerical, and artificial intelligence (AI) modeling, which are commonly validated with experimental data (Altintas in Manufacturing automation:...
Available

Tool Wear and Modeling

Zhu, Kunpeng

Pages: 71 –101

[During the cutting process, the tool will gradually become dull. When tool wear reaches a certain point, the cutting force increases, the cutting temperature rises, and even vibration occurs.]
Available

Mathematical Foundations of Machining System Monitoring

Zhu, Kunpeng

Pages: 103 –137

[To ensure the safety and processing quality of high investment automation processing equipment, machining process monitoring is becoming an urgent problem to be solved in the modern machining system.]
Available

The Smart Machining System Monitoring from Machine Learning View

Zhu, Kunpeng

Pages: 139 –190

[The fundamental task of machining system monitoring is to identify the condition of the process to be detected according to the state information. There are many identification methods, which can be divided into empirical analysis method, mechanism analysis method, data-driven method, and...
Available

Signal Processing for Machining Process Modeling and Condition Monitoring

Zhu, Kunpeng

Pages: 191 –234

[Signal processing plays an important role in manufacturing automation and industrial control. In CNC machining, by utilizing the monitored information from the platform to direct the further actions, the signal processing bridges the gap of human instruction and full automation.]
Available

Tool Condition Monitoring with Sparse Decomposition

Zhu, Kunpeng

Pages: 235 –266

[In modern CNC machining, an effective tool condition monitoring (TCM) system can improve productivity, ensure workpiece quality and enhance the manufacturing intelligence (Dornfeld and Lee in Precision manufacturing. Springer, 2007; Teti et al., CIRP Annals-Manuf Tech 59:717–739, 2010). Due to...
Available

Machine Vision Based Smart Machining System Monitoring

Zhu, Kunpeng

Pages: 267 –295

[Machine vision based monitoring system refers to the monitoring system that captures the target attributes (pixel distribution, brightness, colour, etc.) using visual devices, and transmit and process the digital image to carry out a variety of detection and control operations for equipment...
Available

Tool Wear Monitoring with Hidden Markov Models

Zhu, Kunpeng

Pages: 297 –338

[In micro-machining, with the miniaturization of the cutting tool (<1 mm in diameter), and high speed (>10,000 rpm) used, the tool wears quickly.]
Available

Sensor Fusion in Machining System Monitoring

Zhu, Kunpeng

Pages: 339 –360

[Multi-sensor information fusion utilizes multi-sensory sources and extract complementary information according to certain criteria, so that the information system obtained has a superior performance than its constituent components (Hall and Llinas in Handbook of multisensor data fusion: theory...

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