Model based optimization of forging process chains by the use of a genetic algorithm

authored by: B. A. Behrens, B. Denkena, F. Charlin, M. Dannenberg
Abstract: In this paper, a new approach for a holistic process chain optimization of forged components based on generic process models is presented. Interdependencies between single processes and the process chains of the forged component production and the forging die manufacturing have been analysed mathematically, emulated and integrated in the corresponding process models. Based on this preliminary work, an optimization of process parameters by the use of a Genetic Algorithm was integrated in a software prototype. The paper ends with a comparison and discussion of the results from the generic model based optimization method by the use of a Genetic Algorithm and the Finite Element simulation. It is shown that the holistic generic model based optimization method provides results that allow a production of forged components with optimized process parameters deviant from typical process parameters to lower production costs.
Organisation(s): Institute of Metal Forming and Metal Forming Machines
Institute of Production Engineering and Machine Tools
Type: Conference contribution
Pages: 154-158
No. of pages: 5
Publication date: 01.12.2011
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Polymers and Plastics
: Details in the research portal "Research@Leibniz University"

BibTeX

@inproceedings{3c067afd0f194519bd6b22f905d39615,
title = "Model based optimization of forging process chains by the use of a genetic algorithm",
abstract = "In this paper, a new approach for a holistic process chain optimization of forged components based on generic process models is presented. Interdependencies between single processes and the process chains of the forged component production and the forging die manufacturing have been analysed mathematically, emulated and integrated in the corresponding process models. Based on this preliminary work, an optimization of process parameters by the use of a Genetic Algorithm was integrated in a software prototype. The paper ends with a comparison and discussion of the results from the generic model based optimization method by the use of a Genetic Algorithm and the Finite Element simulation. It is shown that the holistic generic model based optimization method provides results that allow a production of forged components with optimized process parameters deviant from typical process parameters to lower production costs.",
keywords = "Forging, Process chain, Process optimization",
author = "Behrens, {B. A.} and B. Denkena and F. Charlin and M. Dannenberg",
year = "2011",
month = dec,
day = "1",
language = "English",
isbn = "9783514007840",
series = "Proceedings of the 10th International Conference on Technology of Plasticity, ICTP 2011",
pages = "154--158",
booktitle = "Proceedings of the 10th International Conference on Technology of Plasticity, ICTP 2011",
note = "10th International Conference on Technology of Plasticity, ICTP 2011 ; Conference date: 25-09-2011 Through 30-09-2011",
}