Details
| Original language | English |
|---|---|
| Title of host publication | WGP Congress 2014 |
| Subtitle of host publication | Progress in Production Engineering |
| Editors | Marion Merklein, Hinnerk Hagenah, Jörg Franke |
| Pages | 533-538 |
| Number of pages | 6 |
| ISBN (electronic) | 9783038352457 |
| Publication status | Published - 12 Sept 2014 |
| Event | WGP Congress 2014 - Erlangen, Germany Duration: 9 Sept 2014 → 10 Sept 2014 |
Publication series
| Name | Advanced Materials Research |
|---|---|
| Volume | 1018 |
| ISSN (Print) | 1022-6680 |
| ISSN (electronic) | 1662-8985 |
Abstract
For the production of forged components, it is necessary to coordinate and optimize the production stages along the different process chains. This includes the mainstream processes as well as the associated process chains and the respective processes of die manufacturing. Until now, these processes and process chains are commonly planned and optimized independently due to different and often contradictory target criteria. This paper deals with an extended approach to a holistic planning and optimization of forging process chains by means of the optimization technique Genetic Algorithm (GA) in order to reduce production costs and time.
Keywords
- Computer automated process planning (CAPP), Forging, Optimization
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
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WGP Congress 2014: Progress in Production Engineering. ed. / Marion Merklein; Hinnerk Hagenah; Jörg Franke. 2014. p. 533-538 (Advanced Materials Research; Vol. 1018).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Model Based Optimization of Forging Process Chains under the Consideration of Penalty Functions
AU - Dannenberg, Matthias
AU - Georgiadis, Alexander
AU - Behrens, Bernd Arno
PY - 2014/9/12
Y1 - 2014/9/12
N2 - For the production of forged components, it is necessary to coordinate and optimize the production stages along the different process chains. This includes the mainstream processes as well as the associated process chains and the respective processes of die manufacturing. Until now, these processes and process chains are commonly planned and optimized independently due to different and often contradictory target criteria. This paper deals with an extended approach to a holistic planning and optimization of forging process chains by means of the optimization technique Genetic Algorithm (GA) in order to reduce production costs and time.
AB - For the production of forged components, it is necessary to coordinate and optimize the production stages along the different process chains. This includes the mainstream processes as well as the associated process chains and the respective processes of die manufacturing. Until now, these processes and process chains are commonly planned and optimized independently due to different and often contradictory target criteria. This paper deals with an extended approach to a holistic planning and optimization of forging process chains by means of the optimization technique Genetic Algorithm (GA) in order to reduce production costs and time.
KW - Computer automated process planning (CAPP)
KW - Forging
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=84912143926&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/amr.1018.533
DO - 10.4028/www.scientific.net/amr.1018.533
M3 - Conference contribution
AN - SCOPUS:84912143926
T3 - Advanced Materials Research
SP - 533
EP - 538
BT - WGP Congress 2014
A2 - Merklein, Marion
A2 - Hagenah, Hinnerk
A2 - Franke, Jörg
T2 - WGP Congress 2014
Y2 - 9 September 2014 through 10 September 2014
ER -