Details
| Original language | English |
|---|---|
| Title of host publication | Key Engineering Materials |
| Editors | Aldo Ofenheimer, Cecilia Poletti, Daniela Schalk-Kitting, Christof Sommitsch |
| Pages | 305-310 |
| Number of pages | 6 |
| Publication status | Published - 10 Jul 2015 |
| Event | 18th International ESAFORM Conference on Material Forming, ESAFORM 2015 - Graz, Austria Duration: 15 Apr 2015 → 17 Apr 2015 |
Publication series
| Name | Key Engineering Materials |
|---|---|
| Volume | 651-653 |
| ISSN (Print) | 1013-9826 |
| ISSN (electronic) | 1662-9795 |
Abstract
The detection of process failures in earlier design stages is essential for preventing high additional costs and a loss of time. Here, the finite element analysis (FEA) is an inherent part of the process design. This work represents numerical and experimental investigations, which were carried out in order to identify factors that influence the fold formation in an upsetting process of hollow parts, i.e. different forging velocities, different materials or the friction. The experimental results were compared with the numerical simulations. Based on these investigations, an automatic optimization model was created, which is the focus of this work. It allows varying and optimizing the experimentally determined process parameters, influencing the fold formation, automatically with the aim to produce a workpiece free of folds. For this purpose the commercial Software-System Forge (Transvalor) was used. The results of this work provide basic information for the development of complex processes. It can be shown that the automatic numerical optimization is an indispensable tool for the process design. It helps determining optimal process parameters individually and avoiding extensive trial and error investigations and hence a loss of time and costs.
Keywords
- Bulk metal forming, Forging-folds, Optimization, Simulation
ASJC Scopus subject areas
- Materials Science(all)
- General Materials Science
- Engineering(all)
- Mechanics of Materials
- Engineering(all)
- Mechanical Engineering
Cite this
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Key Engineering Materials. ed. / Aldo Ofenheimer; Cecilia Poletti; Daniela Schalk-Kitting; Christof Sommitsch. 2015. p. 305-310 (Key Engineering Materials; Vol. 651-653).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Experimental Investigations and Automatic Numerical Optimization of a Bulk Metal Forming Process to Avoid Forging Folds
AU - Behrens, Bernd Arno
AU - Bouguecha, Sonda Moakhar
AU - Vucetic, Milan
AU - Bouguecha, Anas
AU - Kazhai, Mohammad
N1 - Publisher Copyright: © (2015) Trans Tech Publications, Switzerland. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2015/7/10
Y1 - 2015/7/10
N2 - The detection of process failures in earlier design stages is essential for preventing high additional costs and a loss of time. Here, the finite element analysis (FEA) is an inherent part of the process design. This work represents numerical and experimental investigations, which were carried out in order to identify factors that influence the fold formation in an upsetting process of hollow parts, i.e. different forging velocities, different materials or the friction. The experimental results were compared with the numerical simulations. Based on these investigations, an automatic optimization model was created, which is the focus of this work. It allows varying and optimizing the experimentally determined process parameters, influencing the fold formation, automatically with the aim to produce a workpiece free of folds. For this purpose the commercial Software-System Forge (Transvalor) was used. The results of this work provide basic information for the development of complex processes. It can be shown that the automatic numerical optimization is an indispensable tool for the process design. It helps determining optimal process parameters individually and avoiding extensive trial and error investigations and hence a loss of time and costs.
AB - The detection of process failures in earlier design stages is essential for preventing high additional costs and a loss of time. Here, the finite element analysis (FEA) is an inherent part of the process design. This work represents numerical and experimental investigations, which were carried out in order to identify factors that influence the fold formation in an upsetting process of hollow parts, i.e. different forging velocities, different materials or the friction. The experimental results were compared with the numerical simulations. Based on these investigations, an automatic optimization model was created, which is the focus of this work. It allows varying and optimizing the experimentally determined process parameters, influencing the fold formation, automatically with the aim to produce a workpiece free of folds. For this purpose the commercial Software-System Forge (Transvalor) was used. The results of this work provide basic information for the development of complex processes. It can be shown that the automatic numerical optimization is an indispensable tool for the process design. It helps determining optimal process parameters individually and avoiding extensive trial and error investigations and hence a loss of time and costs.
KW - Bulk metal forming
KW - Forging-folds
KW - Optimization
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=84944238944&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/kem.651-653.305
DO - 10.4028/www.scientific.net/kem.651-653.305
M3 - Conference contribution
AN - SCOPUS:84944238944
SN - 9783038354710
T3 - Key Engineering Materials
SP - 305
EP - 310
BT - Key Engineering Materials
A2 - Ofenheimer, Aldo
A2 - Poletti, Cecilia
A2 - Schalk-Kitting, Daniela
A2 - Sommitsch, Christof
T2 - 18th International ESAFORM Conference on Material Forming, ESAFORM 2015
Y2 - 15 April 2015 through 17 April 2015
ER -