Artificial Neural Network (ANN) based microstructural prediction model for 22MnB5 boron steel during tailored hot stamping
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Mechanical Engineering,General Materials Science,Modeling and Simulation,Civil and Structural Engineering
Reference49 articles.
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4. Investigation of the thermo-mechanical properties of hot stamping steels;Merklein;J Mater Process Technol,2006
5. Isothermal versus non-isothermal hot compression process: a comparative study on phase transformations and structure–property relationships;Abbasi;Mater Des,2013
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