Details
| Original language | English |
|---|---|
| Title of host publication | Optics and Photonics for Advanced Dimensional Metrology |
| Editors | Peter J. de Groot, Richard K. Leach, Pascal Picart |
| Number of pages | 8 |
| ISBN (electronic) | 9781510634763 |
| Publication status | Published - 1 Apr 2020 |
| Event | Optics and Photonics for Advanced Dimensional Metrology - Online Only, France Duration: 6 Apr 2020 → 10 Apr 2020 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 11352 |
| ISSN (Print) | 0277-786X |
| ISSN (electronic) | 1996-756X |
Abstract
Hot forming processes, especially open die forging, are often used for production of high-performance, large-scale objects. The main benefits compared to, e.g. shape cutting methods, include lower material use and higher stress resistance. Inline process control by 3d geometry measurement is an important part of a cost-effective component production. However, there are no automated control systems commercially available for open die forging, which results in a limited precision of the final component geometry. The main challenges for a control system in said conditions are imposed by the temperature influence of the hot object on the measurement systems as well as limited actuator accuracy for the precise handling of hot, heavy objects. Additionally, the tools used in open die forging are kept simple for financial reasons. Comparable tools for, e.g., drop forging, need to be exclusively made for each new object form and therefore cannot be used for a cost-efficient production of low-quantity components. In this paper, we present a production concept in order to control a hot forming method for large scale, low quantity components. The approach combines an adaptable high-resolution 3d geometry measurement system and an incremental open die forging press for cost- and time-efficient production. Forming simulations will need to be conducted prior to the process to gain access to a large database of possible forming steps to reach the desired final geometry. The control system itself compares the measured geometry and temperature to the simulated ones. Occurring deviations are analysed and a sequence of forming steps is calculated from the database. The necessary forging forces and strokes of the actuating system are extracted from the chosen forming sequence and linked back into the system to achieve maximum precision.
Keywords
- Fringe projection, Hot forging, Photogrammetry
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
- Computer Science(all)
- Computer Science Applications
Cite this
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Optics and Photonics for Advanced Dimensional Metrology. ed. / Peter J. de Groot; Richard K. Leach; Pascal Picart. 2020. 113520B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11352).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - Concept of a control system based on 3D geometry measurement for open die forging of large-scale components
AU - Quentin, Lorenz
AU - Beermann, Rüdiger
AU - Brunotte, Kai
AU - Behrens, Bernd-Arno
AU - Kästner, Markus
AU - Reithmeier, Eduard
N1 - Funding Information: The results presented in this paper were obtained within the Collaborative Research Centre 1153 Process chain to produce hybrid high performance components by Tailored Forming in the subproject C5. The authors would like to thank the German Research Foundation (DFG) for the financial and organisational support of this project. The authors would also like to thank Mr. Michael Till for the fruitful discussion leading to the creation of this concept.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Hot forming processes, especially open die forging, are often used for production of high-performance, large-scale objects. The main benefits compared to, e.g. shape cutting methods, include lower material use and higher stress resistance. Inline process control by 3d geometry measurement is an important part of a cost-effective component production. However, there are no automated control systems commercially available for open die forging, which results in a limited precision of the final component geometry. The main challenges for a control system in said conditions are imposed by the temperature influence of the hot object on the measurement systems as well as limited actuator accuracy for the precise handling of hot, heavy objects. Additionally, the tools used in open die forging are kept simple for financial reasons. Comparable tools for, e.g., drop forging, need to be exclusively made for each new object form and therefore cannot be used for a cost-efficient production of low-quantity components. In this paper, we present a production concept in order to control a hot forming method for large scale, low quantity components. The approach combines an adaptable high-resolution 3d geometry measurement system and an incremental open die forging press for cost- and time-efficient production. Forming simulations will need to be conducted prior to the process to gain access to a large database of possible forming steps to reach the desired final geometry. The control system itself compares the measured geometry and temperature to the simulated ones. Occurring deviations are analysed and a sequence of forming steps is calculated from the database. The necessary forging forces and strokes of the actuating system are extracted from the chosen forming sequence and linked back into the system to achieve maximum precision.
AB - Hot forming processes, especially open die forging, are often used for production of high-performance, large-scale objects. The main benefits compared to, e.g. shape cutting methods, include lower material use and higher stress resistance. Inline process control by 3d geometry measurement is an important part of a cost-effective component production. However, there are no automated control systems commercially available for open die forging, which results in a limited precision of the final component geometry. The main challenges for a control system in said conditions are imposed by the temperature influence of the hot object on the measurement systems as well as limited actuator accuracy for the precise handling of hot, heavy objects. Additionally, the tools used in open die forging are kept simple for financial reasons. Comparable tools for, e.g., drop forging, need to be exclusively made for each new object form and therefore cannot be used for a cost-efficient production of low-quantity components. In this paper, we present a production concept in order to control a hot forming method for large scale, low quantity components. The approach combines an adaptable high-resolution 3d geometry measurement system and an incremental open die forging press for cost- and time-efficient production. Forming simulations will need to be conducted prior to the process to gain access to a large database of possible forming steps to reach the desired final geometry. The control system itself compares the measured geometry and temperature to the simulated ones. Occurring deviations are analysed and a sequence of forming steps is calculated from the database. The necessary forging forces and strokes of the actuating system are extracted from the chosen forming sequence and linked back into the system to achieve maximum precision.
KW - Fringe projection
KW - Hot forging
KW - Photogrammetry
UR - http://www.scopus.com/inward/record.url?scp=85120976517&partnerID=8YFLogxK
U2 - 10.1117/12.2554720
DO - 10.1117/12.2554720
M3 - Conference contribution
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optics and Photonics for Advanced Dimensional Metrology
A2 - de Groot, Peter J.
A2 - Leach, Richard K.
A2 - Picart, Pascal
T2 - Optics and Photonics for Advanced Dimensional Metrology
Y2 - 6 April 2020 through 10 April 2020
ER -