Related Experiment Video
Updated: Jun 9, 2025
09:12
Production of Single Tracks of Ti-6Al-4V by Directed Energy Deposition to Determine the Layer Thickness for Multilayer Deposition
Published on: March 13, 2018
9.2K
Laser Metal Deposition of Rene 80-Microstructure and Solidification Behavior Modelling
Krishnanand Srinivasan1,2, Andrey Gumenyuk1, Michael Rethmeier1,3,4
1Bundesanstalt für Materialforschung und -prüfung (BAM), Unter den Eichen 87, 12205 Berlin, Germany.
Micromachines
|October 26, 2024
Summary
A new analytical model explains nickel-based superalloy solidification during additive manufacturing, improving upon the Scheil-Gulliver theory for laser metal deposition (LMD). This advances turbine design and industrial application.
Area of Science:
- Materials Science
- Metallurgy
- Mechanical Engineering
Background:
- Nickel-based superalloys are critical for advanced turbine designs.
- Additive manufacturing (AM) offers innovative production methods for these alloys.
- Understanding material behavior during AM, specifically laser metal deposition (LMD), is essential for industrial adoption.
Purpose of the Study:
- To develop an analytical model for predicting solidification behavior in nickel-based superalloys during LMD.
- To address limitations of existing models, such as the Scheil-Gulliver theory's equilibrium assumption at the solid-liquid interface.
- To validate the new model against established theories and experimental data.
Main Methods:
- Development of an analytical model based on reaction-diffusion formalism.
- CALPHAD (Calculation of Phase Diagrams) simulations to compute solidified fractions under Scheil and equilibrium models.
- Differential scanning calorimetry (DSC) to experimentally measure heat flow during phase transformation.
- Conversion of DSC heat flow data into solidified fractions for model validation.
Main Results:
- The developed analytical model provides a more accurate explanation of solidification behavior compared to the Scheil-Gulliver model.
- CALPHAD simulations and DSC experiments offer quantitative data for comparison.
- The model's predictions align well with experimental observations, demonstrating its validity.
Conclusions:
- The new reaction-diffusion based analytical model enhances the understanding of solidification in nickel-based superalloys during LMD.
- This improved understanding is crucial for optimizing AM processes and enabling innovative turbine designs.
- The model offers a pathway to more reliable industrial application of advanced manufacturing techniques for superalloys.
