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On the fatigue behavior of a tool steel manufactured by powder bed based additive manufacturing—a comparison between electron- and laserbeam processed AISI H13

In recent years, additive manufacturing (AM) techniques have gained increased attention. The most common AM technologies to realize complex parts are powder bed-based fusion processes, especially electron beam powder bed fusion of metals (PBF-EB/M) and laser-based powder bed fusion of metals (PBF-LB/M). Focusing on industrial applications, cyclic loading scenarios and fatigue properties of components produced by such techniques came into focus of research. The present work deals with a comparison between microstructure, hardness, density and fatigue properties of a high-alloy tool steel AISI H13 (1.2344, X40CrMoV5-1) manufactured by PBF-EB/M and PBF-LB/M. The investigated specimens are characterized by a complex phase composition containing ferrite, perlite, bainite and martensite, eventually resulting in different hardness values depending on the used AM technology. Fatigue data for PBF-EB/M AISI H13 are reported for the first time in open literature. It is shown that the fatigue behavior is significantly influenced by the specimen density. Accordingly, parts with a high density are characterized by superior fatigue strength.

Sponsor
Gefördert im Rahmen des Projekts DEAL
Citation
In: Progress in Additive Manufacturing Volume 9 / Issue 5 (2024-03-23) , S. 1509-1522; eissn:2363-9520
Collections
@article{doi:10.17170/kobra-2024082310704,
  author    ={Kahlert, Moritz and Vollmer, Malte and Wegener, Thomas and Niendorf, Thomas},
  title    ={On the fatigue behavior of a tool steel manufactured by powder bed based additive manufacturing—a comparison between electron- and laserbeam processed AISI H13},
  keywords ={600 and Rapid Prototyping  and Elektronenstrahlschmelzen and Selektives Elektronenstrahlschmelzen and Mikrostruktur and Zyklische Belastung and Bainit},
  copyright  ={http://creativecommons.org/licenses/by/4.0/},
  language ={en},
  journal  ={Progress in Additive Manufacturing},
  year   ={2024-03-23}
}