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Cyber-physical and gentelligent systems in manufacturing and life cycle : genetics and intelligence -- keys to industry 4.0

Author: Berend Denkena; Tobias Mörke
Publisher: London : Academic Press, an imprint of Elsevier, [2017]. ©2017
Edition/Format:   eBook : Document : English : First editionView all editions and formats
Summary:
Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle explores the latest technologies resulting from the integration of sensing components throughout the production supply chain, and the resulting possibilities to improve efficiency, flexibility, and product quality. The authors present cutting edge research into data storage in components, communication devices, data acquisition, as well as new  Read more...
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Genre/Form: Electronic books
Additional Physical Format: (OCoLC)964299854
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Berend Denkena; Tobias Mörke
ISBN: 9780128126004 0128126000
OCLC Number: 989872327
Description: 1 online resource.
Contents: Front Cover; Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle: Genetics and Intelligence --
Keys to Industry 4.0; Copyright; Contents; List of contributors; Preface; Production technology on its way to the 4th industrial revolution; Chapter 1: Introduction; 1.1. Development of sensors, data storage and communication technologies; 1.2. Applications in manufacturing; 1.3. Applications in the product life cycle; 1.4. Examples of application; Chapter 2: Sensors, data storage and communication technologies; 2.1. Employment of geometrical properties 2.1.1. Component identification by means of unique topography features2.1.1.1. Generation of generically machined component surfaces; 2.1.1.1.1. Generation of turned surfaces; 2.1.1.1.1.1. Periodical effects on turned surfaces; 2.1.1.1.1.2. Random effects on turned surfaces; 2.1.1.1.2. Generation of flat ground surfaces; 2.1.1.2. Fingerprinting of machined surfaces; 2.1.1.2.1. Physical unclonable functions (PUFs); 2.1.1.2.2. The location-dependent spectrum; 2.1.1.2.2.1. The Continuous Wavelet Transform; 2.1.1.2.3. The ``fingerprint;́́ 2.1.1.2.3.1. Feature extraction; 2.1.1.2.3.2. Matching 2.1.1.3. Application scenarios2.1.1.4. Conclusion; References; 2.1.2. Data storage within the surface of a component by cutting micro patterns; 2.1.2.1. Introduction of information into the component's surface; 2.1.2.2. Piezo-electric actuator-driven turning tool; 2.1.2.3. Piezo-electric actuator-driven milling tool; 2.1.2.4. Structure geometry depending on the workpiece material; 2.1.2.5. Process forces during cutting of micro patterns; 2.1.2.6. Reading information-carrying micro patterns; 2.1.2.7. Robustness of information-bearing micro patterns 2.1.2.8. Process design for generating and simulating binary structures2.1.2.9. Possibilities and limitations of the structuring process; 2.1.2.10. Summary; References; 2.2. Employment of subsurface properties; 2.2.1. Estimation of loads by changes of subsurface properties; 2.2.1.1. Initial level of knowledge and scientific issues; 2.2.1.2. Generation of residual stresses; 2.2.1.2.1. Residual stress depth distributions due to turning of AISI 1060; 2.2.1.2.2. Generation of residual stresses depending on the heat treatment of AISI 1060 2.2.1.2.3. Generation of residual stresses depending on the carbon content of the steel2.2.1.2.4. Generation of residual stress gradients; 2.2.1.3. Relaxation of residual stresses; 2.2.1.4. Harmonic analysis of eddy current signals; 2.2.1.5. Reconstruction of loads; References; 2.2.2. Storing the load history of a component in the subsurface region; 2.2.2.1. Introduction; 2.2.2.2. Qualifying metastable austenitic steels as sensor materials; 2.2.2.3. Development of inherent, directionally responsive yield stress sensors; 2.2.2.4. Retrieving the loading information
Responsibility: Berend Denkena, Tobias Mörke.

Abstract:

Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle explores the latest technologies resulting from the integration of sensing components throughout the production supply chain, and the resulting possibilities to improve efficiency, flexibility, and product quality. The authors present cutting edge research into data storage in components, communication devices, data acquisition, as well as new industrial applications. Detailed technical descriptions of the tools are presented in addition to discussions of how these systems have been used, the benefits they provide, and what industry problems they could tackle in the future. This is essential reading for researchers and production engineers interested in the potential of cyber physical systems to optimize all parts of the supply chain.

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