2018
DOI: 10.1007/s11665-018-3376-9
|View full text |Cite
|
Sign up to set email alerts
|

Computational Design of a Novel Medium-Carbon, Low-Alloy Steel Microalloyed with Niobium

Abstract: The design of a new steel with specific properties is always challenging owing to the complex interactions of many variables. In this work, this challenge is dealt with by combining metallurgical principles with computational thermodynamics and kinetics to design a novel steel composition suitable for thermomechanical processing and induction heat treatment to achieve a hardness level in excess of 600 HV with the potential for good fracture toughness. CALPHAD-based packages for the thermodynamics and kinetics … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
12
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
8

Relationship

4
4

Authors

Journals

citations
Cited by 25 publications
(12 citation statements)
references
References 52 publications
0
12
0
Order By: Relevance
“…We utilized MATLAB software, along with the MTEX texture and the crystallographic toolbox, to reconstruct the original austenite grains, i.e., prior austenite grain (PAG), which transformed into martensite during solidification of the melt pool of the weld zone, as described in [ 20 , 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…We utilized MATLAB software, along with the MTEX texture and the crystallographic toolbox, to reconstruct the original austenite grains, i.e., prior austenite grain (PAG), which transformed into martensite during solidification of the melt pool of the weld zone, as described in [ 20 , 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…The filtering value is 3 pixels, which means that the smallest grain size included in the calculation of the mean EGS is 0.22 μm. Using EBSD data, the original prior austenite grains were reconstructed using MATLAB software with the aid of the MTEX texture and crystallographic analysis toolbox, as described by Javaheri et al . and Nyyssönen et al …”
Section: Methodsmentioning
confidence: 99%
“…To determine the prior austenite grain size, different EBSD runs were performed at low magnification with an accelerating voltage of 15 kV, a magnification of 500 and a step size of 0.65 lm. To reveal prior austenite grain (PAG) structure, EBSD orientation data were used to reconstruct the prior austenite using MATLAB software combined with the MTEX texture and crystallographic analysis toolbox [16][17][18]. The linear intercept method was then used to determine prior austenite grain size (PAGS) from the reconstructed image.…”
Section: Methodsmentioning
confidence: 99%