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Updated: Aug 19, 2025

Fused Filament Fabrication FFF of Metal-Ceramic Components
Published on: January 11, 2019
Additive Manufacturing of CrFeNiTi Multi-Principal Element Alloys.
Marius Reiberg1, Leonhard Hitzler1, Lukas Apfelbacher1
1Institute of Materials Science, Technical University Munich, 85748 Garching, Germany.
Additive manufacturing enables rapid fabrication of complex multi-principal element alloys (MPEAs). Laser powder-bed fusion produced dense CrFeNiTi MPEA samples with hardness correlating to composition, influenced by titanium evaporation.
Area of Science:
- Materials Science
- Metallurgy
- Additive Manufacturing
Background:
- High entropy alloys (HEAs) and multi-principal element alloys (MPEAs) represent a novel research field with incomplete knowledge.
- Fabricating diverse HEA/MPEA material libraries is challenging.
- Additive manufacturing (AM) offers a promising route for rapid HEA/MPEA sample production via melting or sintering.
Purpose of the Study:
- To investigate the fabrication of CrFeNiTi MPEA samples using laser powder-bed fusion (PBF-LB).
- To compare PBF-LB with solid-state sintering for MPEA production.
- To analyze the relationship between processing parameters, composition, and microstructure.
Main Methods:
- Fabrication of CrFeNiTi MPEA samples using laser powder-bed fusion (PBF-LB).
- Solid-state sintering of mechanically alloyed powder feedstock used as a benchmark.
- Analysis of micro-hardness and local chemical composition variations.
Main Results:
- Dense CrFeNiTi MPEA samples were successfully fabricated within a volumetric energy density (VED) range of 50–83 J/mm³.
- An average micro-hardness of 965 HV0.1 was recorded in defect-free sections.
- Titanium evaporation at higher VED led to reduced C14_Laves phase fraction and influenced micro-hardness.
Conclusions:
- PBF-LB is an effective method for producing dense MPEA samples with controlled properties.
- VED significantly impacts titanium content and Laves phase formation, affecting alloy hardness.
- Understanding these correlations is crucial for designing advanced MPEAs.
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