2009
DOI: 10.1016/j.jmatprotec.2008.08.039
|View full text |Cite
|
Sign up to set email alerts
|

A stochastic model for austenite phase formation during arc welding of a low alloy steel

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
12
0

Year Published

2011
2011
2022
2022

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 15 publications
(12 citation statements)
references
References 12 publications
0
12
0
Order By: Relevance
“…It has been reported that fatigue crack growth resistance in laser weldments of a cold rolled steel is attributed to the welding speed due to different cooling rate, where the fatigue crack growth rate of fusion zone and heat affected zone are lower than that of base metal [26]. 1 1 0 2 10 4 10 6 10 8 Fig. 11.…”
Section: Mechanical Propertiesmentioning
confidence: 99%
See 2 more Smart Citations
“…It has been reported that fatigue crack growth resistance in laser weldments of a cold rolled steel is attributed to the welding speed due to different cooling rate, where the fatigue crack growth rate of fusion zone and heat affected zone are lower than that of base metal [26]. 1 1 0 2 10 4 10 6 10 8 Fig. 11.…”
Section: Mechanical Propertiesmentioning
confidence: 99%
“…In order to understand the mechanical properties of MIG welded components, an experimental and theoretical investigation has been made. Modeling the microstructure of the heat affected zone (HAZ) in the weld area can be useful in predicting the mechanical behavior of welded metals [1]. A multi-scale model is proposed to estimate the temperature distribution and to predict the microstructure evolution of the austenite formation and grain growth in the HAZ.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…ℎ represents both the thermal convection and radiation coefficients. The value of was considered to be 0.9, as recommended for hot-rolled steels [40].…”
Section: -Computational Methodsmentioning
confidence: 99%
“…The former type introduces the stochastic variables into calculation process, which can account for the stochastic character of the phase transformation and give qualitative representation of the microstructure, e.g. Haddad-Sabzevar et al (2009) employed a stochastic model to simulate the austenite phase formation and its growth during welding of a low alloy steel and to visualize the topology of the austenite phase. The latter type is based on the timeintegration of equations consisting of certain state variables, so as to characterize the microstructural evolution, at various length scales, depending on the features of interest, throughout the phase transformation.…”
Section: Introductionmentioning
confidence: 99%