Integrative process chain optimization using a Genetic Algorithm

authored by: B. Denkena, B. A. Behrens, F. Charlin, M. Dannenberg
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.
Organisation(s): Institute of Production Engineering and Machine Tools
Institute of Metal Forming and Metal Forming Machines
Type: Article
Journal: Production Engineering
Volume: 6
Pages: 29-37
No. of pages: 9
ISSN: 0944-6524
Publication date: 02.2012
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Mechanical Engineering, Industrial and Manufacturing Engineering
Electronic version(s): https://doi.org/10.1007/s11740-011-0347-5 (Access: Unknown)
: Details in the research portal "Research@Leibniz University"

BibTeX

@article{ca70a005f80046b3af91162bc8085c62,
title = "Integrative process chain optimization using a Genetic Algorithm",
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",
author = "B. Denkena and Behrens, {B. A.} and F. Charlin and M. Dannenberg",
note = "Funding information: Acknowledgments The authors thank the German Research Foundation (DFG) for its financial support of the project {\textquoteleft}{\textquoteleft}Integrative Prozesskettenplanung und -auslgegung umformtechnisch gefertigter Bauteile auf Basis genetischer Algorithmen{\textquoteright}{\textquoteright} with the project numbers DE 447/68-1 and BE 1691/92-1.",
year = "2012",
month = feb,
doi = "10.1007/s11740-011-0347-5",
language = "English",
volume = "6",
pages = "29--37",
journal = "Production Engineering",
issn = "0944-6524",
publisher = "Springer Verlag",
number = "1",
}