2007
DOI: 10.1016/j.msea.2006.10.070
|View full text |Cite
|
Sign up to set email alerts
|

A study on kinetics of static and metadynamic recrystallization during hot rolling

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0
1

Year Published

2009
2009
2020
2020

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 23 publications
(5 citation statements)
references
References 18 publications
0
4
0
1
Order By: Relevance
“…On the other hand, mathematical models have also been developed and simulations have been carried out in order to evaluate the austenite recrystallization or softening kinetics and the resulting grain size during hot rolling of steels, i.e. under non-isothermal conditions [16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, mathematical models have also been developed and simulations have been carried out in order to evaluate the austenite recrystallization or softening kinetics and the resulting grain size during hot rolling of steels, i.e. under non-isothermal conditions [16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…In industrial forming processes, the hot rolling and forging processes often consist of several successive deformation passes, including inter-pass periods between deformations. During the inter-pass periods, the alloys will subject the dynamic recrystallization [1][2][3], static recrystallization [4][5][6], and metadynamic recrystallization [7][8][9][10]. Meanwhile, the metals and alloys often subject to complex time, strain, strain rate, and temperature histories.…”
Section: Introductionmentioning
confidence: 99%
“…42CrMo is selected as the materials of the simulation model [22,23,24,25]. At 0.01 s −1 strain rate, the true stress-strain curves of 42CrMo at different temperatures are shown in Figure 4, and the curve is subjected to multivariate nonlinear fitting.…”
Section: Materials and Fe Modelmentioning
confidence: 99%