2020
DOI: 10.1016/j.ijplas.2020.102748
|View full text |Cite
|
Sign up to set email alerts
|

Effect of nickel on the kinematic stability of retained austenite in carburized bearing steels – In-situ neutron diffraction and crystal plasticity modeling of uniaxial tension tests in AISI 8620, 4320 and 3310 steels

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
27
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
10

Relationship

1
9

Authors

Journals

citations
Cited by 24 publications
(29 citation statements)
references
References 35 publications
2
27
0
Order By: Relevance
“…Physical and mechanical properties were extracted from Davis et al [23], and chemical compositions of H13, 25CrMo4. 53 HRC, AISI3310, and AISI316 were obtained from [24][25][26][27][28][29], respectively. Material selection criteria for die components included Young's modulus, hardness of the workpiece material, and availability on the market.…”
Section: Materials Geometrical Dimensions and Process Parametersmentioning
confidence: 99%
“…Physical and mechanical properties were extracted from Davis et al [23], and chemical compositions of H13, 25CrMo4. 53 HRC, AISI3310, and AISI316 were obtained from [24][25][26][27][28][29], respectively. Material selection criteria for die components included Young's modulus, hardness of the workpiece material, and availability on the market.…”
Section: Materials Geometrical Dimensions and Process Parametersmentioning
confidence: 99%
“…A comparison of the tensile strength and TE of other steels with microalloying elements (such as maraging steel [ 31 ], TWIP steel [ 32 ], TRIP steel [ 33 ], medium-Mn steel (MMS) [ 4 , 34 , 35 , 36 , 37 , 38 , 39 ], and QP steel [ 40 ]) and the present steel is shown in Figure 16 . It is obvious that the best combination of the strength and ductility of the studied steel is over 50 GPa·%.…”
Section: Discussionmentioning
confidence: 99%
“…This allows the development of a 40 × 40 × 40 model which has been generated with 50 different instantiations for orientation inputs that were randomly generated from a Gaussian normal distribution. This approach has been validated for other polycrystalline materials owing to the size independence of the models [32]. The boundary conditions were those followed by Smit [33], Kumar et al [34], and Zhang [35].…”
Section: Crystal Plasticity Finite Element Modelmentioning
confidence: 99%