Details
| Original language | English |
|---|---|
| Pages (from-to) | 1623-1634 |
| Number of pages | 12 |
| Journal | International Journal of Advanced Manufacturing Technology |
| Volume | 89 |
| Issue number | 5-8 |
| Publication status | Published - 29 Jul 2016 |
| Externally published | Yes |
Abstract
In multi-stage hot forging processes, the preform shape is the parameter mainly influencing the final forging result. Nevertheless, the design of multi-stage hot forging processes is still a trial and error process and therefore time-consuming. The quality of developed forging sequences strongly depends on the engineer’s experience. To overcome these obstacles, this paper presents an algorithm for solving the multi-objective optimization problem when designing preforms. Cross-wedge-rolled (CWR) preforms were chosen as subject of investigation. An evolutionary algorithm is introduced to optimize the preform shape taking into account the mass distribution of the final part, the preform volume, and the shape complexity. The developed algorithm is tested using a connecting rod as a demonstration part. Based on finite element analysis, the implemented fitness function is evaluated, and thus the progressive optimization can be traced.
Keywords
- Cross-wedge rolling, Evolutionary algorithms, Hot forging, Preforming optimization
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Software
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: International Journal of Advanced Manufacturing Technology, Vol. 89, No. 5-8, 29.07.2016, p. 1623-1634.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Preform optimization for hot forging processes using genetic algorithms
AU - Knust, Johannes
AU - Podszus, Florian
AU - Stonis, Malte
AU - Behrens, Bernd Arno
AU - Overmeyer, Ludger
AU - Ullmann, Georg
PY - 2016/7/29
Y1 - 2016/7/29
N2 - In multi-stage hot forging processes, the preform shape is the parameter mainly influencing the final forging result. Nevertheless, the design of multi-stage hot forging processes is still a trial and error process and therefore time-consuming. The quality of developed forging sequences strongly depends on the engineer’s experience. To overcome these obstacles, this paper presents an algorithm for solving the multi-objective optimization problem when designing preforms. Cross-wedge-rolled (CWR) preforms were chosen as subject of investigation. An evolutionary algorithm is introduced to optimize the preform shape taking into account the mass distribution of the final part, the preform volume, and the shape complexity. The developed algorithm is tested using a connecting rod as a demonstration part. Based on finite element analysis, the implemented fitness function is evaluated, and thus the progressive optimization can be traced.
AB - In multi-stage hot forging processes, the preform shape is the parameter mainly influencing the final forging result. Nevertheless, the design of multi-stage hot forging processes is still a trial and error process and therefore time-consuming. The quality of developed forging sequences strongly depends on the engineer’s experience. To overcome these obstacles, this paper presents an algorithm for solving the multi-objective optimization problem when designing preforms. Cross-wedge-rolled (CWR) preforms were chosen as subject of investigation. An evolutionary algorithm is introduced to optimize the preform shape taking into account the mass distribution of the final part, the preform volume, and the shape complexity. The developed algorithm is tested using a connecting rod as a demonstration part. Based on finite element analysis, the implemented fitness function is evaluated, and thus the progressive optimization can be traced.
KW - Cross-wedge rolling
KW - Evolutionary algorithms
KW - Hot forging
KW - Preforming optimization
UR - http://www.scopus.com/inward/record.url?scp=84979983642&partnerID=8YFLogxK
U2 - 10.1007/s00170-016-9209-9
DO - 10.1007/s00170-016-9209-9
M3 - Article
AN - SCOPUS:84979983642
VL - 89
SP - 1623
EP - 1634
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
SN - 0268-3768
IS - 5-8
ER -