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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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Collet, J.
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report
Combined online microstructure sensor and model for a better control of hot strip rolling conditions and final products properties (MICROCONTROL) : final report
Abstract
This project provides new knowledge in the non-destructive and non-contact laser ultrasonic technique to monitor steel microstructure during hot rolling. Various signal processing techniques based on ultrasonic wave velocity, attenuation, backscattered noise, or Poisson’s ratio are tested to evaluate average grain size, grain shape, phase transformation, and recrystallization. All methods could be used online except backscattered (grain shape) and velocity methods. Moreover, an all-fibered Laser UltraSonic (LUS) sensor is designed, manufactured, and tested in the laboratory, pilot, and industrial hot rolling conditions with the capacity to measure the microstructure in multi-points along a hot rolling mill (though in this project, the sensor was used in a single point). Furthermore, the HSMM-Integ metallurgical model for prediction of microstructure evolution all along a hot strip mill and final mechanical properties is calibrated for AM Eisenhuttenstadt finishing hot strip mill on two different grades: final mechanical properties predictions match reasonably with measurements. Finally, rolling trials are performed with the laser ultrasonic sensor on AM Eisenhuttenstadt hot mill to measure 22 coils of austenite grain size in inter-stands and at the last-stand exit. The grain size values obtained by LUS analysis match reasonably with grain sizes predicted by the model though some discrepancies exist between final microstructures predicted and measured by metallography; further work is needed to develop new models fine-tuning procedures using these newly available austenite grain size measurements. In conclusion, this work is a significant step to moving closer to fully automatic feedback control of microstructure and product properties.