2019
DOI: 10.1016/j.jmapro.2019.09.018
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Experimental study and a damage model approach to determine the effect of hot forming deformation on the service performance of 22MnB5 steel

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Cited by 10 publications
(4 citation statements)
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“…The dislocation density progressively increased during deformation, leading to the creation of a substructure and resulting in material softening. [ 20 ] The dynamic recovery (DRV) was caused with substructure and deformation increasing, [ 21,22 ] and the relationship between substructure and strain rate [ 23–25 ] is expressed as Equation (1)d=a+b×logZ$$d = a + b \times log Z$$where d represents the mean diameter of the sub‐grain, while a and b are constants, and Z is the strain rate adjusted for temperature. Thus, this suggests that the Z value associated with a strain rate of 0.01 s −1 is about 1, leading to the initial rise and subsequent decline in the thickness of TM.…”
Section: Resultsmentioning
confidence: 99%
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“…The dislocation density progressively increased during deformation, leading to the creation of a substructure and resulting in material softening. [ 20 ] The dynamic recovery (DRV) was caused with substructure and deformation increasing, [ 21,22 ] and the relationship between substructure and strain rate [ 23–25 ] is expressed as Equation (1)d=a+b×logZ$$d = a + b \times log Z$$where d represents the mean diameter of the sub‐grain, while a and b are constants, and Z is the strain rate adjusted for temperature. Thus, this suggests that the Z value associated with a strain rate of 0.01 s −1 is about 1, leading to the initial rise and subsequent decline in the thickness of TM.…”
Section: Resultsmentioning
confidence: 99%
“…The dislocation density progressively increased during deformation, leading to the creation of a substructure and resulting in material softening. [20] The dynamic recovery (DRV) was caused with substructure and deformation increasing, [21,22] and the relationship between substructure and strain rate [23][24][25] is expressed as Equation ( 1)…”
Section: Macromorphologymentioning
confidence: 99%
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“…Venturato et al established the generalized incremental stress-state-dependent damage model (GISSMO) to predict the formability in 22MnB5 hot stamping by means of experiment and numerical simulation [19]. Zhuang et al conducted X-ray diffraction and microstructure investigations to study the phase composition and micro defects, respectively, established a damage-coupled pre-forming constitutive model, and embedded it into ABAQUS 2016 through the VUMAT interface for simulation [20]. Chen et al proposed a theoretical prediction model for forming a limit prediction model for the high temperature forming process of 22MnB5 based on the Norton-Hoff constitutive model, BBC 2005 yield criterion, and M-K model [21].…”
Section: Introductionmentioning
confidence: 99%