Detailed Information

Cited 0 time in webofscience Cited 1 time in scopus
Metadata Downloads

Characterization of the Dynamic Recrystallization Kinetics Using Directly Flow Stress Model and Its Application to 42CrMo Steel

Authors
Razali, Mohd KaswandeeChung, Suk HwanIrani, MissamChoi, Jeong MukJoun, Man Soo
Issue Date
Sep-2023
Publisher
Springer Science and Business Media Deutschland GmbH
Keywords
Dynamic Recrystallization Kinetics; Flow Stress; Solution Accuracy
Citation
Lecture Notes in Mechanical Engineering, pp 442 - 454
Pages
13
Indexed
SCOPUS
Journal Title
Lecture Notes in Mechanical Engineering
Start Page
442
End Page
454
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/68268
DOI
10.1007/978-3-031-40920-2_46
ISSN
2195-4364
2195-4356
Abstract
In order to improve and enhance the solution accuracy and practicability in prediction of dynamic recrystallization kinetics, we present a direct method to characterize the flow-related DRX parameters including two essential parameters when predicting DRX microstructural evolution which are the peak strain and the strain at 50% recrystallization. In this method, flow curves are described accurately using the general and improved C-m models in which C and m are defined as functions of strain rate at varying strains and temperatures. It eliminates the need for mathematical modeling of these parameters in order to predict the volume fraction of DRX grains and increases the practical utility of microstructural prediction by a great deal. The DRX behavior of extruded 42CrMo high-strength steel is investigated with a finite element approach using the direct method and the Avrami kinetic model. Our present method predicts the DRX kinetics volume fraction and grain size during microstructural evolution with remarkable accuracy when compared to other approaches and experiments. DRX Microstructural predictions are greatly enhanced by this method since it eschews mathematical modeling of the peak strain and the strain at 50% recrystallization in Avrami kinetic model. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Files in This Item
There are no files associated with this item.
Appears in
Collections
공학계열 > 기계항공우주공학부 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Joun, Man Soo photo

Joun, Man Soo
대학원 (기계항공우주공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE