Details
| Original language | English |
|---|---|
| Pages (from-to) | 29-37 |
| Number of pages | 9 |
| Journal | Production Engineering |
| Volume | 6 |
| Issue number | 1 |
| Early online date | 21 Sept 2011 |
| Publication status | Published - Feb 2012 |
Abstract
For the production of forged components, it is necessary to coordinate and optimize the production stages along the process chain. This includes the mainstream processes as well as the associated process chain of the die manufacturing. Up to now, these processes and process chains are planned and optimized independent from each other because of the different and often contradictory target criteria. In this paper, a new approach for a holistic optimization of forged process chains will be presented. At first, a systematic mathematical dependency-analysis between the processes of an application scenario was carried out. Based on this analysis, a holistic Pareto-based optimization of the process parameters by the use of a Genetic Algorithm was consecutively performed. The article ends with the presentation and discussion of the computational results.
Keywords
- Genetic Algorithm, Holistic optimization, Metal forming, Process chain
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Production Engineering, Vol. 6, No. 1, 02.2012, p. 29-37.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Integrative process chain optimization using a Genetic Algorithm
AU - Denkena, B.
AU - Behrens, B. A.
AU - Charlin, F.
AU - Dannenberg, M.
N1 - Funding information: Acknowledgments The authors thank the German Research Foundation (DFG) for its financial support of the project ‘‘Integrative Prozesskettenplanung und -auslgegung umformtechnisch gefertigter Bauteile auf Basis genetischer Algorithmen’’ with the project numbers DE 447/68-1 and BE 1691/92-1.
PY - 2012/2
Y1 - 2012/2
N2 - For the production of forged components, it is necessary to coordinate and optimize the production stages along the process chain. This includes the mainstream processes as well as the associated process chain of the die manufacturing. Up to now, these processes and process chains are planned and optimized independent from each other because of the different and often contradictory target criteria. In this paper, a new approach for a holistic optimization of forged process chains will be presented. At first, a systematic mathematical dependency-analysis between the processes of an application scenario was carried out. Based on this analysis, a holistic Pareto-based optimization of the process parameters by the use of a Genetic Algorithm was consecutively performed. The article ends with the presentation and discussion of the computational results.
AB - For the production of forged components, it is necessary to coordinate and optimize the production stages along the process chain. This includes the mainstream processes as well as the associated process chain of the die manufacturing. Up to now, these processes and process chains are planned and optimized independent from each other because of the different and often contradictory target criteria. In this paper, a new approach for a holistic optimization of forged process chains will be presented. At first, a systematic mathematical dependency-analysis between the processes of an application scenario was carried out. Based on this analysis, a holistic Pareto-based optimization of the process parameters by the use of a Genetic Algorithm was consecutively performed. The article ends with the presentation and discussion of the computational results.
KW - Genetic Algorithm
KW - Holistic optimization
KW - Metal forming
KW - Process chain
UR - http://www.scopus.com/inward/record.url?scp=84856220930&partnerID=8YFLogxK
U2 - 10.1007/s11740-011-0347-5
DO - 10.1007/s11740-011-0347-5
M3 - Article
AN - SCOPUS:84856220930
VL - 6
SP - 29
EP - 37
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 1
ER -