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An Empirical Approach for the Development of Process Parameters for Laser Powder Bed Fusion
Aron Pfaff1, Martin Jäcklein1, Max Schlager1
1Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, Ernst-Zermelo-Str. 4, 79104 Freiburg, Germany.
Materials (Basel, Switzerland)
|December 2, 2020
Summary
Developing process parameters for new laser powder bed fusion (L-PBF) alloys is challenging. This study introduces a methodology using single laser track experiments and iterative design of experiments to streamline parameter development for L-PBF materials.
Area of Science:
- Materials Science
- Additive Manufacturing
- Process Engineering
Background:
- Material selection is limited in additive manufacturing, particularly for powder bed technologies.
- Developing process parameters for new alloys is complex and lacks standardized procedures.
- Laser Powder Bed Fusion (L-PBF) requires elaborate parameter optimization.
Purpose of the Study:
- To propose a novel methodology for the initial development of process parameters for new L-PBF alloys.
- To establish a systematic approach for optimizing L-PBF process parameters.
- To enable efficient material development for L-PBF.
Main Methods:
- Utilizing single laser track experiments to analyze laser-powder-bed interaction.
- Employing an iterative Design of Experiments (DoE) approach for volumetric parameter development.
- Conducting one-dimensional parameter variation and metallographic investigations for near-surface properties.
Main Results:
- Single laser track experiments provide data on track dimensions, surface roughness, and melt pool characteristics.
- A defined process window is established by iteratively reducing parameters based on experimental data.
- Methodology facilitates identification of suitable parameters for production and measurement.
Conclusions:
- The proposed methodology offers a structured approach for initial L-PBF alloy parameter development.
- This method can be adapted for optimizing existing parameters for new targets like productivity or mechanical properties.
- The approach supports microstructural design and component-specific parameter optimization in L-PBF.

