2010
DOI: 10.1016/j.msea.2010.05.079
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Characterization of hot deformation behavior of 410 martensitic stainless steel using constitutive equations and processing maps

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Cited by 159 publications
(59 citation statements)
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References 32 publications
(25 reference statements)
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“…An analysis on the stress curve suggested that DRV took place before the critical strain for initiation of DRX under all investigation conditions [6,8] . At high temperature, the DRV got prompted, and the DRX started at a lower strain and proceeded faster [7] .…”
Section: Microstructure Evolutionmentioning
confidence: 93%
See 1 more Smart Citation
“…An analysis on the stress curve suggested that DRV took place before the critical strain for initiation of DRX under all investigation conditions [6,8] . At high temperature, the DRV got prompted, and the DRX started at a lower strain and proceeded faster [7] .…”
Section: Microstructure Evolutionmentioning
confidence: 93%
“…At high temperature, the DRV got prompted, and the DRX started at a lower strain and proceeded faster [7] . Meanwhile, the fine and medium size particles that reduced the recovery process stabilized the substructure which would slow down the nucleation and pin the grain boundaries diminished to rare [8] . All the above factors gave explanations to the isometric martensitic grains deformed at 1200 ºC/10 -3 s -1…”
Section: Microstructure Evolutionmentioning
confidence: 99%
“…Arrhenius equation is widely used to describe relationships between the strain rate, the flow stress, and temperature (Ref [16][17][18]. The equation can be written as…”
Section: Constitutive Analysismentioning
confidence: 99%
“…It is wellknown that hot workability of a metal is deteriorated in the presence of various deformation defects such as microcracking, flow oscillation and micro void coalescence while dynamic restoration processes such as dynamic recovery (DRV) and dynamic recrystallization (DRX) can cope with the effect of such defects. 4) In recent years, the use of processing maps has been widely accepted to optimize the hot workability and control the microstructure of the material without using expensive and time-consuming trial and error methods. The processing map developed by Prasad et al is based on the theory of the Dynamic Material Model (DMM).…”
Section: Introductionmentioning
confidence: 99%