The Concept of Technical Inheritance in Operation: Analysis of the Information Flow in the Life Cycle of Smart Products

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Demminger, C.; Mozgova, I.; Quirico, M.; Uhlich, F.; Denkena, B. et al.: The Concept of Technical Inheritance in Operation: Analysis of the Information Flow in the Life Cycle of Smart Products. In: Procedia Technology 26 (2016), S. 79-88. DOI: https://doi.org/10.1016/j.protcy.2016.08.012

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3247

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Sum total of downloads: 235




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Abstract: 
Industry 4.0 opens great potentials in productions technologies by establishing communication between machines and equipment as well as processes along the life cycle of products. Within the Collaborative Research Center (CRC) 653 several aspects of the design and application of communicative and intelligent systems and components are demonstrated. The CRC aims to enable smart products, so-called gentelligent components, to give feedback to the product and production processes based on inherently stored information. This work continues a series of publications regarding the development of the concept of Technical Inheritance. Here, the process of Technical Inheritance is applied to improve gentelligent components. This was realized according to the biological principle to transfer hereditary information on the basis of evolutionary mechanisms and variations of the information transfer. To provide an efficient information management throughout the life cycle of components and to transfer relevant information from the current generation of the component to the next generation a unified closed data exchange format GIML was developed. At the example of a load-sensitive magnesium wheel carrier of the racing car RP09 this approach is demonstrated: the information flows over the life cycle are analyzed, the concept of Technical Inheritance applied and its advantages discussed.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Maschinenbau

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 134 57.02%
2 image of flag of United States United States 42 17.87%
3 image of flag of China China 9 3.83%
4 image of flag of No geo information available No geo information available 7 2.98%
5 image of flag of United Kingdom United Kingdom 5 2.13%
6 image of flag of Netherlands Netherlands 4 1.70%
7 image of flag of Russian Federation Russian Federation 3 1.28%
8 image of flag of Malaysia Malaysia 3 1.28%
9 image of flag of India India 3 1.28%
10 image of flag of Indonesia Indonesia 3 1.28%
    other countries 22 9.36%

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