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KLIMEŠ, L. ŠTĚTINA, J.
Original Title
Challenges in numerical modelling of continuous steel casting - very fast GPU dynamic solidification model and its use in continuous casting control
Type
conference paper
Language
English
Original Abstract
The paper describes the development of the parallel GPU dynamic solidification model with the use of CUDA computing architecture and NVIDIA Tesla GPU. Its computing performance is then compared with commonly used non-parallel models. Consequently, the GPU model is used for model-based predictive control with an emphasis on violent changes in the casting speed. This approach utilizes the GPU model for real-time prediction of the temperature field for various control strategies. The proper control strategy is then chosen according to the evaluation of the thermal behaviour of cast blank and other criteria. The results show that parallel computing and GPUs are great tools to enhance the computing performance of dynamic solidification models. Due to the significant speed up in order of tens, new opportunities for real-time control of casting have become available.
Keywords
continuous casting of steel, dynamic solidification model, GPU computing, parallel computing, model-based predictive control
Authors
KLIMEŠ, L.; ŠTĚTINA, J.
RIV year
2014
Released
23. 6. 2014
Publisher
Austrian Society for Metallurgy and Materials (ASMET)
Location
Leoben, Austria
ISBN
978-3-200-03664-2
Book
Proceedings of the 8th European Continuous Casting Conference ECCC 2014
Pages from
266
Pages to
275
Pages count
10
BibTex
@inproceedings{BUT108135, author="Lubomír {Klimeš} and Josef {Štětina}", title="Challenges in numerical modelling of continuous steel casting - very fast GPU dynamic solidification model and its use in continuous casting control", booktitle="Proceedings of the 8th European Continuous Casting Conference ECCC 2014", year="2014", pages="266--275", publisher="Austrian Society for Metallurgy and Materials (ASMET)", address="Leoben, Austria", isbn="978-3-200-03664-2" }