Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Precision Assembly in the Digital Age |
| Untertitel | 8th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2018, Revised Selected Papers |
| Herausgeber/-innen | Svetan Ratchev |
| Herausgeber (Verlag) | Springer |
| Seiten | 63-71 |
| Seitenumfang | 9 |
| Auflage | 1. |
| ISBN (elektronisch) | 978-3-030-05931-6 |
| ISBN (Print) | 978-3-030-05930-9 |
| Publikationsstatus | Veröffentlicht - 31 Dez. 2018 |
| Veranstaltung | 8th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2018 - Chamonix, Frankreich Dauer: 14 Jan. 2018 → 16 Jan. 2018 |
Publikationsreihe
| Name | IFIP Advances in Information and Communication Technology (IFIPAICT) |
|---|---|
| Band | 530 |
| ISSN (Print) | 1868-4238 |
| ISSN (elektronisch) | 1868-422X |
Abstract
While joining tolerances, and therefore forces, are known in the assembly process, the determination of disassembly forces is not possible. This is caused by changes in the product properties during the product operation, which has multiple reasons such as thermal or mechanical stress on the product. Regarding the planning of disassembly tasks, disassembly times and tools cannot be planned properly. They have to be determined in the process or stay undefined, which can result in damaging of the product. This article shows an approach to describe the necessary disassembly forces without having to investigate the complex physical influences caused by the usage of the product. To do so, a Learning Method is developed, which is sustained by a Lookup-Table for the estimation of disassembly forces based on basic input data such as hours of operation and operating characteristics. Missing values will be interpolated by using multiple linear regression. The concept will be illustrated in the example of a turbine blade connection.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Entscheidungswissenschaften (insg.)
- Informationssysteme und -management
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- BibTex
- RIS
Precision Assembly in the Digital Age: 8th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2018, Revised Selected Papers. Hrsg. / Svetan Ratchev. 1. Aufl. Springer, 2018. S. 63-71 (IFIP Advances in Information and Communication Technology (IFIPAICT); Band 530).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - A learning method for automated disassembly
AU - Wolff, Julius
AU - Kolditz, Torge
AU - Raatz, Annika
PY - 2018/12/31
Y1 - 2018/12/31
N2 - While joining tolerances, and therefore forces, are known in the assembly process, the determination of disassembly forces is not possible. This is caused by changes in the product properties during the product operation, which has multiple reasons such as thermal or mechanical stress on the product. Regarding the planning of disassembly tasks, disassembly times and tools cannot be planned properly. They have to be determined in the process or stay undefined, which can result in damaging of the product. This article shows an approach to describe the necessary disassembly forces without having to investigate the complex physical influences caused by the usage of the product. To do so, a Learning Method is developed, which is sustained by a Lookup-Table for the estimation of disassembly forces based on basic input data such as hours of operation and operating characteristics. Missing values will be interpolated by using multiple linear regression. The concept will be illustrated in the example of a turbine blade connection.
AB - While joining tolerances, and therefore forces, are known in the assembly process, the determination of disassembly forces is not possible. This is caused by changes in the product properties during the product operation, which has multiple reasons such as thermal or mechanical stress on the product. Regarding the planning of disassembly tasks, disassembly times and tools cannot be planned properly. They have to be determined in the process or stay undefined, which can result in damaging of the product. This article shows an approach to describe the necessary disassembly forces without having to investigate the complex physical influences caused by the usage of the product. To do so, a Learning Method is developed, which is sustained by a Lookup-Table for the estimation of disassembly forces based on basic input data such as hours of operation and operating characteristics. Missing values will be interpolated by using multiple linear regression. The concept will be illustrated in the example of a turbine blade connection.
KW - Automation
KW - Disassembly
KW - Planning
KW - Turbine blades
UR - http://www.scopus.com/inward/record.url?scp=85059950641&partnerID=8YFLogxK
U2 - 10.15488/13322
DO - 10.15488/13322
M3 - Conference contribution
AN - SCOPUS:85059950641
SN - 978-3-030-05930-9
T3 - IFIP Advances in Information and Communication Technology (IFIPAICT)
SP - 63
EP - 71
BT - Precision Assembly in the Digital Age
A2 - Ratchev, Svetan
PB - Springer
T2 - 8th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2018
Y2 - 14 January 2018 through 16 January 2018
ER -