In-Situ alloying of high-silicon soft magnetic alloy in laser powder bed fusion

Additive manufacturing via laser powder bed fusion (LPBF) enables fabrication of complex high-silicon soft magnetic steels that are otherwise difficult to process. This study investigates the use of in-situ alloying of FeSi6.5 as a cost-effective alternative to pre-alloyed powder. As-built samples produced with commercial powder and as-blended samples using in-situ alloying were characterized for relative density, microstructure, and magnetic properties. The study showed that the commercial powder samples achieved higher densities (94.2–97.7%) than the as-blended samples (84.7–95.1%), while the as-blended specimens exhibited keyhole-type melt pools and finer, strongly < 001>-textured grains. Saturation magnetizations of blended and commercial samples were comparable (up to ~ 1.88 T), while as-blended specimens consistently showed lower coercivity (1159–2 245 A/m) versus commercial counterparts (1468–2 414 A/m). Heat treatment at 1100 °C for 1 h reduced coercivity below 1000 A/m in all cases. Optimal magnetic-microstructural performance in as-blended samples was achieved at 90 μm pulse point distance and 150 µs exposure time, and at 90 μm pulse point distance and 100 µs exposure time for commercial powder. The results demonstrate that in-situ alloying produces FeSi6.5 components with competitive density, uniform Si distribution, favourable texture, and low coercivity after heat treatment, highlighting its potential for flexible, cost-effective LPBF of soft magnetic steels.

Authors

Institutions

Publication Details

Journal
Progress in Additive Manufacturing
Published
2025-12-19
DOI
https://doi.org/10.1007/s40964-025-01463-0
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In-Situ alloying of high-silicon soft magnetic alloy in laser powder bed fusion

Rossitza Setchi, M. Biyiklioglu, Carolina Guerra, Philip Anderson
Progress in Additive Manufacturing
Additive Manufacturing Materials and Processes
article

In-Situ alloying of high-silicon soft magnetic alloy in laser powder bed fusion

Rossitza Setchi, M. Biyiklioglu, Carolina Guerra, Philip Anderson
article en

Abstract

Additive manufacturing via laser powder bed fusion (LPBF) enables fabrication of complex high-silicon soft magnetic steels that are otherwise difficult to process. This study investigates the use of in-situ alloying of FeSi6.5 as a cost-effective alternative to pre-alloyed powder. As-built samples produced with commercial powder and as-blended samples using in-situ alloying were characterized for relative density, microstructure, and magnetic properties. The study showed that the commercial powder samples achieved higher densities (94.2–97.7%) than the as-blended samples (84.7–95.1%), while the as-blended specimens exhibited keyhole-type melt pools and finer, strongly < 001>-textured grains. Saturation magnetizations of blended and commercial samples were comparable (up to ~ 1.88 T), while as-blended specimens consistently showed lower coercivity (1159–2 245 A/m) versus commercial counterparts (1468–2 414 A/m). Heat treatment at 1100 °C for 1 h reduced coercivity below 1000 A/m in all cases. Optimal magnetic-microstructural performance in as-blended samples was achieved at 90 μm pulse point distance and 150 µs exposure time, and at 90 μm pulse point distance and 100 µs exposure time for commercial powder. The results demonstrate that in-situ alloying produces FeSi6.5 components with competitive density, uniform Si distribution, favourable texture, and low coercivity after heat treatment, highlighting its potential for flexible, cost-effective LPBF of soft magnetic steels.

Progress in Additive ManufacturingVol. 11(2)
University of Nottingham (GB), Applied Photonics (United Kingdom) (GB), Cardiff University (GB)
Istanbul Teknik Üniversitesi
Openalex Percentile: Top 58%
Additive Manufacturing Materials and Processes
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.