Institutions | About Us | Help | Gaeilge
rian logo


Mark
Go Back
Prediction of prior austenite grain growth in the heat-affected zone of a martensitic steel during welding
Shi, L.; Alexandratos, S.A.; O'Dowd, Noel P.
The full text of this article will not be available in ULIR until the embargo expires on the 23/08/2020 Engineering components operating at high temperature often fail due to the initiation and growth of cracks in the heat-affected zone (HAZ) adjacent to a weld. The size and morphology of the prior austenite grains (PAGs) in the HAZ of a tempered martensite steel weld can have a strong influence on the final martensitic microstructure. However, there are few available models to predict PAG size in the HAZ of martensitic steel welds. In this work two approaches are examined to predict PAG growth in the HAZ of a martensitic steel (P91) weld. Phase field (PF) methods, which explicitly represent the changing morphology of a representative volume of martensite grains, and approximate analytical solutions for grain growth at high temperature are examined. The predicted grain growth kinetics and final grain diameter using a two term analytical solution is shown to agree well with experimental data and with the validated PF simulation. The two term analytical model provides a versatile tool to analyse PAG growth at low computational costs. In addition, a simplified equation for predicting the final PAG diameter in the HAZ of P91 welds is proposed for engineering applications. The methods have been used to estimate the final grain diameter in the HAZ of a single bead-on-plate weld.
Keyword(s): martensitic steel; prior austenite grain growth; welding thermal cycle; heat-affected zone; grain growth modelling
Publication Date:
2018
Type: Journal article
Peer-Reviewed: Yes
Language(s): English
Institution: University of Limerick
Funder(s): Science Foundation Ireland
Citation(s): International Journal of Pressure Vessels and Piping;166, PP. 94-106
http://dx.doi.org/10.1016/j.ijpvp.2018.08.005
14/IA/2604
Publisher(s): Elsevier
First Indexed: 2018-09-02 06:25:31 Last Updated: 2018-09-02 06:25:31