Details
Original language | English |
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Title of host publication | Materials Science and Technology Conference and Exhibition 2012, MS and T 2012 |
Pages | 834-841 |
Number of pages | 8 |
Publication status | Published - 1 Dec 2012 |
Event | Materials Science and Technology Conference and Exhibition 2012, MS and T 2012 - Pittsburgh, PA, United States Duration: 7 Oct 2012 → 11 Oct 2012 |
Publication series
Name | Materials Science and Technology Conference and Exhibition 2012, MS and T 2012 |
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Volume | 2 |
Abstract
This research is focused on the omission of the physical separation of the components from their related information. Inherently stored data in a component facilitates its identification, processing and reproduction during its lifecycle. The powder metallurgy offers great potentials to realize this concept by embedding foreign particles as data carriers in the part body prior to consolidation and sintering process. One further goal is the monitoring of loading status or temperature of the sintered part during operation. This is realized by integrating functional elements such as magneto-elastic stripes or temperature microsensors in the part body. This approach offers a solution for the lifetime prognosis of sintered parts. The research is focused on the manufacturing methods and the impact of embedded foreign materials on the mechanical properties of the part using numerical analysis. It is one of the main incentives of the Collaborative Research Centre 653 "Gentelligent Components in Their Lifecycle".
Keywords
- Finite-Element-Analysis (FEA), Inherent data storage, Loading monitoring, Manufacturing method
ASJC Scopus subject areas
- Materials Science(all)
- Materials Science (miscellaneous)
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Materials Science and Technology Conference and Exhibition 2012, MS and T 2012. 2012. p. 834-841 (Materials Science and Technology Conference and Exhibition 2012, MS and T 2012; Vol. 2).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Functional sintered parts with inherently stored information and integrated loading monitoring
AU - Behrens, Bernd Arno
AU - Kammler, Matthias
AU - Vahed, Najmeh
PY - 2012/12/1
Y1 - 2012/12/1
N2 - This research is focused on the omission of the physical separation of the components from their related information. Inherently stored data in a component facilitates its identification, processing and reproduction during its lifecycle. The powder metallurgy offers great potentials to realize this concept by embedding foreign particles as data carriers in the part body prior to consolidation and sintering process. One further goal is the monitoring of loading status or temperature of the sintered part during operation. This is realized by integrating functional elements such as magneto-elastic stripes or temperature microsensors in the part body. This approach offers a solution for the lifetime prognosis of sintered parts. The research is focused on the manufacturing methods and the impact of embedded foreign materials on the mechanical properties of the part using numerical analysis. It is one of the main incentives of the Collaborative Research Centre 653 "Gentelligent Components in Their Lifecycle".
AB - This research is focused on the omission of the physical separation of the components from their related information. Inherently stored data in a component facilitates its identification, processing and reproduction during its lifecycle. The powder metallurgy offers great potentials to realize this concept by embedding foreign particles as data carriers in the part body prior to consolidation and sintering process. One further goal is the monitoring of loading status or temperature of the sintered part during operation. This is realized by integrating functional elements such as magneto-elastic stripes or temperature microsensors in the part body. This approach offers a solution for the lifetime prognosis of sintered parts. The research is focused on the manufacturing methods and the impact of embedded foreign materials on the mechanical properties of the part using numerical analysis. It is one of the main incentives of the Collaborative Research Centre 653 "Gentelligent Components in Their Lifecycle".
KW - Finite-Element-Analysis (FEA)
KW - Inherent data storage
KW - Loading monitoring
KW - Manufacturing method
UR - http://www.scopus.com/inward/record.url?scp=84875796723&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84875796723
SN - 9781622766536
T3 - Materials Science and Technology Conference and Exhibition 2012, MS and T 2012
SP - 834
EP - 841
BT - Materials Science and Technology Conference and Exhibition 2012, MS and T 2012
T2 - Materials Science and Technology Conference and Exhibition 2012, MS and T 2012
Y2 - 7 October 2012 through 11 October 2012
ER -