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A holistic analysis of laser powder bed fusion process parameters for Inconel 625 superalloy: microstructural features and mechanical performance

  • The University of Osaka
  • University of Southern Denmark

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This study delivers a comprehensive investigation into the combined effects of primary process parameters (PPPs) on the mechanical properties, microstructure, and melt pool geometry of Inconel 625 fabricated via laser powder bed fusion (L-PBF). These PPPs include scanning speed, layer thickness, build direction, and laser power. In contrast to prior studies focusing on isolated parameters, a systematic, holistic analysis that uncovers critical process–property relationships was provided. The optimized batch achieved an unprecedented combination of ultimate tensile strength (UTS) of 828.9 MPa and 36% elongation, surpassing typical L-PBF outcomes, attributed to precise PPP control (350 W laser power, 1400 mm/s scanning speed, 30 µm layer thickness, and vertical build direction). Fractographic analysis revealed a novel transition from ductile to brittle fracture with increasing scanning speed, while a strong <100> cubic texture enhanced mechanical performance through epitaxial growth. These findings offer a robust framework for tailoring L-PBF processes to meet stringent application demands in aerospace, automotive, and biomedical fields, advancing the frontier of additive manufacturing.

Original languageEnglish
Pages (from-to)863-888
Number of pages26
JournalProgress in Additive Manufacturing
Volume11
Issue number1
DOIs
Publication statusPublished - Jan 2026

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Inconel 625
  • Laser powder bed fusion
  • Mechanical properties
  • Microstructure
  • Process optimization

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