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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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Tulke, Marc
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2023Forming of aluminium alloys with macro-structured tools at cryogenic temperaturecitations
- 2023Contact conditions and temperature distribution during cryogenic deep drawing with macro-structured toolscitations
- 2022Influence of Macro-Structured Tools on the Formability of Aluminum Alloys in the Cryogenic Temperature Rangecitations
- 2022Deep drawing of DC06 at high strain ratescitations
- 2022Local Temperature Development in the Fracture Zone during Uniaxial Tensile Testing at High Strain Rate: Experimental and Numerical Investigationscitations
- 2021Cryogenic deep drawing of aluminum alloy AA6014 using macro-structured toolscitations
- 2021Data based model predictive control for ring 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
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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.