Details
| Original language | English |
|---|---|
| Title of host publication | Smart Technologies for Precision Assembly |
| Subtitle of host publication | 9th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2020, Revised Selected Papers |
| Editors | Svetan Ratchev |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 63-77 |
| Number of pages | 15 |
| ISBN (electronic) | 978-3-030-72632-4 |
| ISBN (print) | 9783030726317 |
| Publication status | Published - 2 Apr 2021 |
| Event | 9th IFIP International Precision Assembly Seminar, IPAS 2020 - Virtual, Online Duration: 14 Dec 2020 → 15 Dec 2020 |
Publication series
| Name | IFIP Advances in Information and Communication Technology |
|---|---|
| Volume | 620 IFIP |
| ISSN (Print) | 1868-4238 |
| ISSN (electronic) | 1868-422X |
Abstract
To meet the demands for flexible assembly technology, an aerodynamic feeding system has been developed. The system autonomously finds the optimal configuration of four parameters – two angles of inclination, nozzle pressure and component speed – using a genetic algorithm, which has been presented in earlier work. To increase the flexibility of the feeding system, an actuator was implemented, that enables the variation of the nozzle position orthogonally to the moving direction of the components. This paper investigates the effects of the more flexible flow against the components on their behavior when passing the nozzle. Additionally, the nozzle position was implemented into the genetic algorithm as a fifth parameter. Therefore, the impact of the enlargement of the solution space of the genetic algorithm due to the implementation of a fifth parameter is investigated in this paper as well.
Keywords
- Aerodynamic feeding, Assembly, Genetic algorithm
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Computer Networks and Communications
- Decision Sciences(all)
- Information Systems and Management
Cite this
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- BibTeX
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Smart Technologies for Precision Assembly: 9th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2020, Revised Selected Papers. ed. / Svetan Ratchev. Springer Science and Business Media Deutschland GmbH, 2021. p. 63-77 (IFIP Advances in Information and Communication Technology; Vol. 620 IFIP).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Investigation on the Convergence of the Genetic Algorithm of an Aerodynamic Feeding System Due to the Enlargement of the Solution Space
AU - Kolditz, Torge
AU - Ince, Caner Veli
AU - Raatz, Annika
N1 - Funding Information: Acknowledgement. The authors would like to thank the German Research Foundation (DFG) for their financial support of the research project RA 1736/19-2.
PY - 2021/4/2
Y1 - 2021/4/2
N2 - To meet the demands for flexible assembly technology, an aerodynamic feeding system has been developed. The system autonomously finds the optimal configuration of four parameters – two angles of inclination, nozzle pressure and component speed – using a genetic algorithm, which has been presented in earlier work. To increase the flexibility of the feeding system, an actuator was implemented, that enables the variation of the nozzle position orthogonally to the moving direction of the components. This paper investigates the effects of the more flexible flow against the components on their behavior when passing the nozzle. Additionally, the nozzle position was implemented into the genetic algorithm as a fifth parameter. Therefore, the impact of the enlargement of the solution space of the genetic algorithm due to the implementation of a fifth parameter is investigated in this paper as well.
AB - To meet the demands for flexible assembly technology, an aerodynamic feeding system has been developed. The system autonomously finds the optimal configuration of four parameters – two angles of inclination, nozzle pressure and component speed – using a genetic algorithm, which has been presented in earlier work. To increase the flexibility of the feeding system, an actuator was implemented, that enables the variation of the nozzle position orthogonally to the moving direction of the components. This paper investigates the effects of the more flexible flow against the components on their behavior when passing the nozzle. Additionally, the nozzle position was implemented into the genetic algorithm as a fifth parameter. Therefore, the impact of the enlargement of the solution space of the genetic algorithm due to the implementation of a fifth parameter is investigated in this paper as well.
KW - Aerodynamic feeding
KW - Assembly
KW - Genetic algorithm
UR - http://www.scopus.com/inward/record.url?scp=85107446789&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-72632-4_5
DO - 10.1007/978-3-030-72632-4_5
M3 - Conference contribution
AN - SCOPUS:85107446789
SN - 9783030726317
T3 - IFIP Advances in Information and Communication Technology
SP - 63
EP - 77
BT - Smart Technologies for Precision Assembly
A2 - Ratchev, Svetan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th IFIP International Precision Assembly Seminar, IPAS 2020
Y2 - 14 December 2020 through 15 December 2020
ER -