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

Author:

Macek Wojciech1ORCID,Branco Ricardo2,de Jesus Joel2ORCID,Costa José Domingos2,Zhu Shun-Peng34,Masoudi Nejad Reza5,Gryguć Andrew6

Affiliation:

1. Faculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, Gdańsk, Poland

2. CEMMPRE, ARISE, Department of Mechanical Engineering, University of Coimbra, Coimbra, Portugal

3. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, P. R. China

4. Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan, China

5. Faculty of Human Settlements and Civil Engineering, Xi’an Jiaotong University, China

6. Department of Mechanical & Mechatronics Engineering, University of Waterloo, Waterloo, Canada

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).

Publisher

SAGE Publications

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