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Condition Monitoring and Control for Intelligent Manufacturing

Condition Monitoring and Control for Intelligent Manufacturing
Author: Lihui Wang
Publisher: Springer Science & Business Media
Total Pages: 411
Release: 2006-08-02
Genre: Technology & Engineering
ISBN: 1846282691

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Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.


Information Technology for Balanced Manufacturing Systems

Information Technology for Balanced Manufacturing Systems
Author: Weiming Shen
Publisher: Springer
Total Pages: 509
Release: 2007-03-07
Genre: Technology & Engineering
ISBN: 038736594X

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BASYS conferences were initially organized to promote the development of balanced automation systems. The first BASYS conference was successfully launched in Victoria, Brazil, in 1995. BASYS'06 is the 7th edition in this series. This book comprises three invited keynote papers and forty-nine regular papers accepted for presentation at the conference. All together, these papers will make significant contributions to the literature of Intelligent Technology for Balanced Manufacturing Systems.


Advanced Machining Processes of Metallic Materials

Advanced Machining Processes of Metallic Materials
Author: Wit Grzesik
Publisher: Elsevier
Total Pages: 610
Release: 2016-11-15
Genre: Technology & Engineering
ISBN: 0444637206

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Advanced Machining Processes of Metallic Materials: Theory, Modelling and Applications, Second Edition, explores the metal cutting processes with regard to theory and industrial practice. Structured into three parts, the first section provides information on the fundamentals of machining, while the second and third parts include an overview of the effects of the theoretical and experimental considerations in high-level machining technology and a summary of production outputs related to part quality. In particular, topics discussed include: modern tool materials, mechanical, thermal and tribological aspects of machining, computer simulation of various process phenomena, chip control, monitoring of the cutting state, progressive and hybrid machining operations, as well as practical ways for improving machinability and generation and modeling of surface integrity. This new edition addresses the present state and future development of machining technologies, and includes expanded coverage on machining operations, such as turning, milling, drilling, and broaching, as well as a new chapter on sustainable machining processes. In addition, the book provides a comprehensive description of metal cutting theory and experimental and modeling techniques, along with basic machining processes and their effective use in a wide range of manufacturing applications. The research covered here has contributed to a more generalized vision of machining technology, including not only traditional manufacturing tasks, but also potential (emerging) new applications, such as micro and nanotechnology. Includes new case studies illuminate experimental methods and outputs from different sectors of the manufacturing industry Presents metal cutting processes that would be applicable for various technical, engineering, and scientific levels Includes an updated knowledge of standards, cutting tool materials and tools, new machining technologies, relevant machinability records, optimization techniques, and surface integrity


Intelligent Tool Condition Monitoring in Milling Operation

Intelligent Tool Condition Monitoring in Milling Operation
Author: Pan Fu
Publisher:
Total Pages: 10
Release: 1998
Genre:
ISBN:

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One of the most important features of the modern machining system in an "unmanned" factory is to change tools that have been subjected to wear and damage. An integrated system composed of multi-sensors, signal processing device and intelligent decision making plans is a necessary requirement for automatic manufacturing process. An intelligent tool wear monitoring system for milling operation will be introduced in this report. The system is equipped with four kinds of sensors, signal transforming and collecting apparatus and microcomputer. A unique ANN (artificial neural network) driven fuzzy pattern recognition algorithm has been developed from this research. It can fuse the information from multiple sensors and has strong learning and noise suppression ability. This lead to successful tool wear classification under a range of machining conditions.


From Prognostics and Health Systems Management to Predictive Maintenance 1

From Prognostics and Health Systems Management to Predictive Maintenance 1
Author: Rafael Gouriveau
Publisher: John Wiley & Sons
Total Pages: 187
Release: 2016-10-14
Genre: Technology & Engineering
ISBN: 1119371023

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This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life. The digital revolution and mechatronics foreshadowed the advent of the 4.0 industry where equipment has the ability to communicate. The ubiquity of sensors (300,000 sensors in the new generations of aircraft) produces a flood of data requiring us to give meaning to information and leads to the need for efficient processing and a relevant interpretation. The process of traceability and capitalization of data is a key element in the context of the evolution of the maintenance towards predictive strategies.


Smart Machining Systems

Smart Machining Systems
Author: Kunpeng Zhu
Publisher: Springer Nature
Total Pages: 420
Release: 2021-11-23
Genre: Technology & Engineering
ISBN: 3030878783

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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.