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March 3, 2026
Data-driven parameters design for laser powder bed fusion of high-performance nickel-based superalloys
ZB
Ziming Bao
JW
Jiaqi Wu
XL
Xinyue Li
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Key Points
Optimal process parameters enhance the mechanical properties of nickel-based superalloys, crucial for aerospace applications.
Findings indicate improved efficacy in thermal simulation, leading to better material properties and performance.
Analysis conducted using data-driven approaches to refine the laser powder bed fusion process in additive manufacturing.
Highlights potential for cost-effective design in high-performance applications, supporting advanced manufacturing technologies.
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Bao et al. (Sun,) studied this question.
synapsesocial.com/papers/69a76593badf0bb9e87d997f
https://doi.org/https://doi.org/10.1016/j.addma.2026.105104
Data-driven parameters design for laser powder bed fusion of high-performance nickel-based superalloys | Synapse