Influence of internal and surface defects on the fatigue performance of additively manufactured stainless steel 316L

Jairan Nafar Dastgerdi*, Omid Jaberi, Heikki Remes

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

19 Citations (Scopus)
98 Downloads (Pure)

Abstract

The additive manufacturing (AM) process generates new material challenges with associated features like internal defects and inherent surface roughness, reducing fatigue performance. This paper introduces a new approach to characterizing internal defects and surface irregularities of additively manufactured stainless steel 316L samples using X-ray computed tomography (XCT). This method overcomes the limitations of previous methods and can effectively provide holistic information on the surface topologies of AM components. An equivalent defect size, root area(eff), based on defects' features and the interaction of internal and surface imperfections, is proposed for fatigue life and failure origins prediction.

Original languageEnglish
Article number107025
Number of pages17
JournalINTERNATIONAL JOURNAL OF FATIGUE
Volume163
DOIs
Publication statusPublished - Oct 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Additive manufacturing
  • Defects
  • Fatigue life
  • Surface roughness
  • X-ray computed tomography

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