Bibliographic Details
| Title: |
Practical approach for determining material parameters when predicting grain size after static recrystallization |
| Authors: |
Mohd Kaswandee Razali, Afaf Amera Abd Ghawi, Missam Irani, Suk Hwan Chung, Jeong Muk Choi, Man Soo Joun |
| Source: |
Journal of Materials Research and Technology, Vol 23, Iss , Pp 3928-3941 (2023) |
| Publisher Information: |
Elsevier, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Mining engineering. Metallurgy |
| Subject Terms: |
Static recrystallization (SRX), 42CrMo steel, Parameter characterization, FE-Coupled optimization, Microstructural evolution, SRX grain sizes, Mining engineering. Metallurgy, TN1-997 |
| More Details: |
The static recrystallization (SRX) behavior of 42CrMo steel was investigated by a non-isothermal hot compression test. The conventional empirical equation for SRX was applied to a finite element (FE) simulator using a nonconventional manner of parameter characterization. Parameter characterization was conducted by applying the FE-coupled optimization method to cylinder compression, which is an axisymmetric upsetting process. An accurate and practical flow stress model was used to precisely determine the critical strain value and define the instant when SRX occurred. The results revealed that the microstructural evolution during SRX was substantially influenced by temperature, strain rate, degree of deformation, and initial austenite grain size. The predicted recrystallized SRX grain sizes exhibited good agreement with the measured values when the model's parameters for the calculation of grain size were obtained using a FE-coupled optimization scheme. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2238-7854 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2238785423002867; https://doaj.org/toc/2238-7854 |
| DOI: |
10.1016/j.jmrt.2023.02.054 |
| Access URL: |
https://doaj.org/article/8c0c8ccef8824024afdbe66dcd2d3865 |
| Accession Number: |
edsdoj.8c0c8ccef8824024afdbe66dcd2d3865 |
| Database: |
Directory of Open Access Journals |
