Research on Density Prediction of Laser Powder Bed Fusion Process Parameters for IN718 Nickel-Based Superalloy Based on Machine Learning.

Lina Zhu¹, Jifeng Wang², Zongxian Song², Hongye Guo³, Bohan Li², Yong Liu⁴

¹Wheel Rail Center, Tianjin Research Institute for Advanced Equipment, Tsinghua University, Tianjin 300300, China.

²School of Aeronautics and Astronautics, Sino-German University of Applied Sciences, Tianjin 300350, China.

³School of Mechanical Engineering, Sino-German University of Applied Sciences, Tianjin 300350, China.

⁴School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China.

PubMed PMC DOI PDF

Abstract

This study addresses the challenge of modeling the complex non-linear relationship between process parameters and relative density in selective laser melting (SLM) of IN718 nickel-based superalloy under small-sample conditions. A data-driven prediction framework integrating data augmentation, physics-informed feature engineering, machine learning, and model interpretability analysis was developed…

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