Process parameter effects on melt pool dimensions along the build height and multi-criteria optimization in LPBF of M300 maraging steel

Laser powder bed fusion (LPBF) involves a wide range of process parameters that critically influence the final quality, microstructure, and mechanical performance of fabricated parts. Key factors such as energy input, melt pool geometry and stability, cooling rates, residual stresses, defect formation, and surface characteristics determine both the robustness of the process and the resulting material properties. This study investigates the evolution of melt pool dimensions and their variation along the build height, while introducing a new multi-criteria evaluation approach for identifying robust parameter sets. A full-factorial Design of Experiments (DoE) was conducted on M300 maraging steel (EN 1.2709, 18Ni-300), with systematic variations in laser power (210–240 W), scan speed (700–840 mm/s), and hatch distance (80–96 µm). The influence of these parameters on porosity, hardness, melt pool geometry, and melt pool stability was analyzed. An interim evaluation focusing on porosity and melt pool variation identified five promising parameter sets for further investigation, including tensile testing and detailed melt pool analysis along the build height (0.04–60 mm). Finally, a multi-criteria evaluation approach, the Porosity–Variation–Strength Score (PVS Score), was introduced. This method enabled the identification of an optimal parameter set for M300 maraging steel that simultaneously ensured nearly zero porosity, high tensile strength, and low mean melt pool variation.

Authors

Institutions

Publication Details

Journal
Progress in Additive Manufacturing
Published
2026-02-26
DOI
https://doi.org/10.1007/s40964-025-01512-8
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Process parameter effects on melt pool dimensions along the build height and multi-criteria optimization in LPBF of M300 maraging steel

Hakan Öztürk, Tobias Redlich, Jens P. Wulfsberg
Progress in Additive Manufacturing
Metallurgical Processes and Thermodynamics
article

Process parameter effects on melt pool dimensions along the build height and multi-criteria optimization in LPBF of M300 maraging steel

Hakan Öztürk, Tobias Redlich, Jens P. Wulfsberg
article en

Abstract

Laser powder bed fusion (LPBF) involves a wide range of process parameters that critically influence the final quality, microstructure, and mechanical performance of fabricated parts. Key factors such as energy input, melt pool geometry and stability, cooling rates, residual stresses, defect formation, and surface characteristics determine both the robustness of the process and the resulting material properties. This study investigates the evolution of melt pool dimensions and their variation along the build height, while introducing a new multi-criteria evaluation approach for identifying robust parameter sets. A full-factorial Design of Experiments (DoE) was conducted on M300 maraging steel (EN 1.2709, 18Ni-300), with systematic variations in laser power (210–240 W), scan speed (700–840 mm/s), and hatch distance (80–96 µm). The influence of these parameters on porosity, hardness, melt pool geometry, and melt pool stability was analyzed. An interim evaluation focusing on porosity and melt pool variation identified five promising parameter sets for further investigation, including tensile testing and detailed melt pool analysis along the build height (0.04–60 mm). Finally, a multi-criteria evaluation approach, the Porosity–Variation–Strength Score (PVS Score), was introduced. This method enabled the identification of an optimal parameter set for M300 maraging steel that simultaneously ensured nearly zero porosity, high tensile strength, and low mean melt pool variation.

Progress in Additive Manufacturing
Helmut Schmidt University (DE)
Openalex Percentile: Top 43%
Metallurgical Processes and Thermodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.