Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 80-85 |
| Seitenumfang | 6 |
| Fachzeitschrift | Procedia Manufacturing |
| Jahrgang | 24 |
| Publikationsstatus | Veröffentlicht - 2018 |
| Veranstaltung | 4th International Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, 2018 - Hannover, Deutschland Dauer: 19 Juni 2018 → 20 Juni 2018 |
Abstract
A concept for the implementation of a scaling strategy into the paradigm of Technical Inheritance is proposed. The paradigm of Technical Inheritance allows monitoring the manufacturing and usage of a component, to analyse and employ the collected data into the development process of a subsequent generation of the component and to obtain an optimized structure. Regarding the development of the following generation a validation and hardware testing of the new structure becomes indispensable. For a time and cost efficient realisation of such a validation the usage of a scaled component structure is proposed to lower the manufacturing and testing expenditure. The basic scaling literature is reviewed and an overview of the implementation into the development phase of the Technical Inheritance is given. Possible distortions regarding the traditional scaling methods are considered.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
- Informatik (insg.)
- Artificial intelligence
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in: Procedia Manufacturing, Jahrgang 24, 2018, S. 80-85.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Concept for the Implementation of a Scaling Strategy into the Paradigm of Technical Inheritance
AU - Wolniak, Philipp
AU - Mozgova, Iryna
AU - Lachmayer, Roland
PY - 2018
Y1 - 2018
N2 - A concept for the implementation of a scaling strategy into the paradigm of Technical Inheritance is proposed. The paradigm of Technical Inheritance allows monitoring the manufacturing and usage of a component, to analyse and employ the collected data into the development process of a subsequent generation of the component and to obtain an optimized structure. Regarding the development of the following generation a validation and hardware testing of the new structure becomes indispensable. For a time and cost efficient realisation of such a validation the usage of a scaled component structure is proposed to lower the manufacturing and testing expenditure. The basic scaling literature is reviewed and an overview of the implementation into the development phase of the Technical Inheritance is given. Possible distortions regarding the traditional scaling methods are considered.
AB - A concept for the implementation of a scaling strategy into the paradigm of Technical Inheritance is proposed. The paradigm of Technical Inheritance allows monitoring the manufacturing and usage of a component, to analyse and employ the collected data into the development process of a subsequent generation of the component and to obtain an optimized structure. Regarding the development of the following generation a validation and hardware testing of the new structure becomes indispensable. For a time and cost efficient realisation of such a validation the usage of a scaled component structure is proposed to lower the manufacturing and testing expenditure. The basic scaling literature is reviewed and an overview of the implementation into the development phase of the Technical Inheritance is given. Possible distortions regarding the traditional scaling methods are considered.
KW - Saling Strategy
KW - Scaling Distortions
KW - Technical Inheritance
UR - http://www.scopus.com/inward/record.url?scp=85050549566&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2018.06.012
DO - 10.1016/j.promfg.2018.06.012
M3 - Conference article
AN - SCOPUS:85050549566
VL - 24
SP - 80
EP - 85
JO - Procedia Manufacturing
JF - Procedia Manufacturing
SN - 2351-9789
T2 - 4th International Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, 2018
Y2 - 19 June 2018 through 20 June 2018
ER -