Strain energy density and entire fracture surface parameters relationship for LCF life prediction of additively manufactured 18Ni300 steel - Publication - Bridge of Knowledge

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Strain energy density and entire fracture surface parameters relationship for LCF life prediction of additively manufactured 18Ni300 steel

Abstract

In this study, the connection between total strain energy density and fracture surface topography is investigated in additively manufactured maraging steel exposed to low-cycle fatigue loading. The specimens were fabricated using laser beam powder bed fusion (LB-PBF) and examined under fully-reversed strain-controlled setup at strain amplitudes scale from 0.3% to 1.0%. The post-mortem fracture surfaces were explored using a non-contact 3D surface topography measuring system and the entire fracture surface method. The focus is on the relationship between fatigue characteristics, expressed by the total strain energy density, and the fracture surface topography features, represented by areal, volume, and fractal dimension factors. A fatigue life prediction model based on total strain energy density and fracture surface topography parameters is proposed. The presented model shows good accordance with fatigue test results and outperforms other existing models based on the strain energy density. This model can be useful for post-failure analysis of engineering elements under low-cycle fatigue, especially for materials produced by additive manufacturing (AM).

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DOI:
Digital Object Identifier (open in new tab) 10.1177/10567895241245879
License
Copyright (2024 SAGE Publications)

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
INTERNATIONAL JOURNAL OF DAMAGE MECHANICS
ISSN: 1056-7895
Language:
English
Publication year:
2024
Bibliographic description:
Macek W., Branco R., de Jesus J., Costa J. D., Zhu S., Masoudi Nejad R., Gryguć A.: Strain energy density and entire fracture surface parameters relationship for LCF life prediction of additively manufactured 18Ni300 steel// INTERNATIONAL JOURNAL OF DAMAGE MECHANICS -, (2024),
DOI:
Digital Object Identifier (open in new tab) 10.1177/10567895241245879
Sources of funding:
  • COST_FREE
Verified by:
Gdańsk University of Technology

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