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Microstructure Evolution and Solute Segregation of Inconel 718 in Laser Additive Manufacturing: A Numerical and
Hang Liu1, Wenjia Xiao1,2, Baolin Yan1
1Guangdong Provincial Key Laboratory of Industrial Intelligent Inspection Technology, Foshan University, Foshan 528001, China.
Materials (Basel, Switzerland)
|May 4, 2026
Summary
Increasing scanning speed in additive manufacturing refines nickel-based superalloy microstructures by altering melt pool conditions. This prevents brittle Laves phase formation, enhancing component performance.
Area of Science:
- Materials Science
- Metallurgy
- Additive Manufacturing
Background:
- Brittle Laves phase segregation hinders additive manufacturing (AM) nickel-based superalloys performance.
- Lack of quantitative kinetic correlation between processing parameters and microstructural features.
- Melt pool physics complexity governs Laves phase evolution.
Purpose of the Study:
- Establish a cross-scale "Process-Physical Field-Microstructure" mapping logic.
- Quantify the kinetic correlation between processing parameters and Laves phase evolution.
- Provide physical criteria for controlling microstructural consistency in AM components.
Main Methods:
- Developed a high-fidelity multiphysics numerical model.
- Analyzed temperature gradient (G) and solidification rate (R) distribution.
- Investigated the effect of scanning speed on melt pool dynamics and solute redistribution.
Main Results:
- Increased scanning speed enhances solidification rate (R) and compresses temperature gradient (G).
- Microstructure transitions from columnar dendrites to refined mixed-dendritic structures.
- Continuous enrichment channels for Nb and Mo are blocked, evolving Laves phase from network to isolated particles.
Conclusions:
- Clarified the kinetic essence of microstructural evolution under non-equilibrium solidification.
- Demonstrated precise intervention of deleterious phases by controlling G and R.
- Provided physical criteria for regulating microstructural consistency in high-performance AM components.
