Hot deformation behavior of 30MnB5V steel: Phenomenological constitutive model, ensemble learning algorithm, hot processing map and microstructure evolution

Hot deformation behavior of 30MnB5V steel: Phenomenological constitutive model, ensemble learning algorithm, hot processing map and microstructure evolution

The hot deformation behavior of 30MnB5V steel was experimentally investigated and theoretically analyzed using phenomenological constitutive models and an ensemble learning algorithm. Hot compression experiments were conducted with an MMS-200 thermo-mechanical simulation machine on the 30MnB5V steel...

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Bibliographic Details
Main Authors: Ming-rong Fan, Zong-an Luo, Yi-han Liu, Ying-ying Feng
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Journal of Materials Research and Technology
Subjects:
30MnB5V steel
Hot compressive deformation
True stress-strain curve
Microstructure evolution
BO-LightGBM model
Processing map
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785424018994

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http://www.sciencedirect.com/science/article/pii/S2238785424018994

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