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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Guilleaume, Christina
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Topics
Publications (7/7 displayed)
- 2022Analysis of the interactions between joint and component properties during clinchingcitations
- 2021A New Non-destructive Testing Method Applied to Clinchingcitations
- 2021Residual stress oriented joining of hybrid components by radial-rollingcitations
- 2020Determination of Material and Failure Characteristics for High-Speed Forming via High-Speed Testing and Inverse Numerical Simulationcitations
- 2019Non-linear Model-predictive-control for Thermomechanical Ring Rolling
- 2019Simulation methods for skew rollingcitations
- 2018Investigation of Alternative Polymer Composite Materials for Forming Applications ; Untersuchung alternativer polymerer Verbundwerkstoffe für Anwendungen der Umformtechnik
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document
Non-linear Model-predictive-control for Thermomechanical Ring Rolling
Abstract
The authors present a new ring rolling variant that combines a semi-warm forming process of a bearing ring with controlled cooling directly followed by a cold forming process. The aim is to produce near net shape rings with a selected microstructure and high strength without additional consecutive heat treatment. To achieve this, a new and fast control strategy is necessary that not only controls the geometrical forming of the ring, but also considers temperature development and microstructure formation. The proposed control strategy is based on the application of a fast semi-analytical simulation model with a very short response time in combination with a FE-analysis of the thermomechanical ring rolling process. The semi-analytical model is used as a predictor and a parallel FEA or experimental results as a corrector for the control model. The aim is to correctly identify transient process parameters needed to achieve defined product properties as a basis for a later implementation in a non-linear model-predictive-control of thermomechanical ring rolling. The new approach will be described in detail and demonstrated numerically and experimentally.