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Microsegregation Model Including Convection and Tip Undercooling: Application to Directional Solidification and
Thomas Billotte1,2, Dominique Daloz3,4, Bernard Rouat5,6
1Department of Metallurgy and Materials Science and Engineering, Institut Jean Lamour, UMR CNRS 7198, Université de Lorraine, 54000 Nancy, France. t.billotte@isgroupe.com.
Materials (Basel, Switzerland)
|July 25, 2018
Summary
This study investigated microsegregation in alloy filler metal 52 (FM 52) during directional solidification and gas tungsten arc welding (GTAW). A new model accurately predicts microsegregation, incorporating convection and tip undercooling.
Area of Science:
- Materials Science
- Metallurgy
- Solidification Science
Background:
- Microsegregation significantly impacts the properties of metallic alloys.
- Understanding microsegregation in filler metals is crucial for weld quality.
- Alloy filler metal 52 (FM 52) is widely used, necessitating detailed behavior studies.
Purpose of the Study:
- To investigate the microsegregation behavior of FM 52 under different solidification conditions.
- To develop and validate a new microsegregation model incorporating convection and tip undercooling.
- To compare experimental results with thermodynamic calculations and model predictions.
Main Methods:
- Microprobe analysis was performed on samples from directional solidification and gas tungsten arc welding (GTAW).
- Thermo-Calc software was used for thermodynamic calculations to verify experimental data.
- Tip undercooling calculations and microsegregation modeling (Tong-Beckermann, KGT) were employed.
Main Results:
- Thermo-Calc database accurately predicted most alloying elements.
- A new microsegregation model, integrating convection and tip undercooling, was developed.
- Model predictions showed high accuracy when compared to experimental microsegregation evolution.
Conclusions:
- The developed microsegregation model effectively captures the behavior of FM 52 during solidification.
- The study provides a validated parametrization card for microsegregation models based on process parameters.
- Accurate prediction of microsegregation is achievable by considering fluid flow and thermal gradients.
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