Details
| Original language | English |
|---|---|
| Pages (from-to) | 278-283 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 97 |
| Early online date | 11 Feb 2021 |
| Publication status | Published - 2021 |
| Event | 8th CIRP Conference of Assembly Technology and Systems, CATS 2020 - Athens, Greece Duration: 29 Sept 2020 → 1 Oct 2020 |
Abstract
In order to meet the demands for flexible feeding technology, a self-learning aerodynamic part feeding system has been developed. The actuated system uses a genetic algorithm to find the optimal parameter set for a high rate of correctly oriented parts. This orientation rate can change due to changes in the ambient conditions (e.g. ambient pressure, coefficient of friction). When the orientation rate in pre-defined interval of parts drops below a determined value, a correction algorithm is triggered. The objective of this work is to develop a mathematical model to define the optimal control interval and limit of the orientation rate for triggering the corrective algorithm depending on the total amount of parts still to be fed at any point in time. To evaluate the mathematical approach, a macroscopic simulation model of the aerodynamic feeding system was developed. It was shown, that the feeding time of a batch of 10,000 parts can be reduced by up to 7% and the number of activations of the corrective algorithm can be reduced by up to 50%. Finally, the mathematical model was implemented in the system control.
Keywords
- Aerodynamic feeding system, Batch time optimization, Simulation
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Procedia CIRP, Vol. 97, 2021, p. 278-283.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Batch Time Optimization for an Aerodynamic Feeding System under changing ambient conditions
AU - Kolditz, Torge
AU - Rochow, Niklas
AU - Nyhuis, Peter
AU - Raatz, Annika
N1 - Funding Information: The results presented in this paper were obtained within the project “Model-based increase of the flexibility and robustness of an aerodynamic part feeding system for high-performance assembly” (project number: 243351293). The authors would like to thank the German Research Foundation (DFG) for their financial support of this project.
PY - 2021
Y1 - 2021
N2 - In order to meet the demands for flexible feeding technology, a self-learning aerodynamic part feeding system has been developed. The actuated system uses a genetic algorithm to find the optimal parameter set for a high rate of correctly oriented parts. This orientation rate can change due to changes in the ambient conditions (e.g. ambient pressure, coefficient of friction). When the orientation rate in pre-defined interval of parts drops below a determined value, a correction algorithm is triggered. The objective of this work is to develop a mathematical model to define the optimal control interval and limit of the orientation rate for triggering the corrective algorithm depending on the total amount of parts still to be fed at any point in time. To evaluate the mathematical approach, a macroscopic simulation model of the aerodynamic feeding system was developed. It was shown, that the feeding time of a batch of 10,000 parts can be reduced by up to 7% and the number of activations of the corrective algorithm can be reduced by up to 50%. Finally, the mathematical model was implemented in the system control.
AB - In order to meet the demands for flexible feeding technology, a self-learning aerodynamic part feeding system has been developed. The actuated system uses a genetic algorithm to find the optimal parameter set for a high rate of correctly oriented parts. This orientation rate can change due to changes in the ambient conditions (e.g. ambient pressure, coefficient of friction). When the orientation rate in pre-defined interval of parts drops below a determined value, a correction algorithm is triggered. The objective of this work is to develop a mathematical model to define the optimal control interval and limit of the orientation rate for triggering the corrective algorithm depending on the total amount of parts still to be fed at any point in time. To evaluate the mathematical approach, a macroscopic simulation model of the aerodynamic feeding system was developed. It was shown, that the feeding time of a batch of 10,000 parts can be reduced by up to 7% and the number of activations of the corrective algorithm can be reduced by up to 50%. Finally, the mathematical model was implemented in the system control.
KW - Aerodynamic feeding system
KW - Batch time optimization
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85100867084&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2020.05.238
DO - 10.1016/j.procir.2020.05.238
M3 - Conference article
AN - SCOPUS:85100867084
VL - 97
SP - 278
EP - 283
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 8th CIRP Conference of Assembly Technology and Systems, CATS 2020
Y2 - 29 September 2020 through 1 October 2020
ER -