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Erschienen in:

2020 | OriginalPaper | Buchkapitel

Steel Development and Optimization Using Response Surface Models

verfasst von : Jun Hu, Rachael Stewart, Erik J. Pavlina, Grant Thomas, Alexander Duggan, Roel Van De Velde

Erschienen in: TMS 2020 149th Annual Meeting & Exhibition Supplemental Proceedings

Verlag: Springer International Publishing

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Abstract

There is a significant potential to increase efficiency and focus in steel development with more advanced and sophisticated technologies. Response surface models are thereby introduced into this field to integrate ‘big data’ and computationally bridge inputs to outputs. In this work, a completed procedure is presented to show training response surface models using different algorithms based on a steel chemistry and processing database with corresponding mechanical properties. Furthermore, optimization is applied to mine feasible but undeveloped new steel possibilities from the well-trained response surface model. To validate the computation, a laboratory steel is processed, and the resulting mechanical properties are compared with the computational results.

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Titel: Steel Development and Optimization Using Response Surface Models
verfasst von: Jun Hu
Rachael Stewart
Erik J. Pavlina
Grant Thomas
Alexander Duggan
Roel Van De Velde
Verlag: Springer International Publishing
Buch: TMS 2020 149th Annual Meeting & Exhibition Supplemental Proceedings
Print ISBN: 978-3-030-36295-9

Electronic ISBN: 978-3-030-36296-6

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-36296-6_150

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