머신러닝 및 XAI 기반 최적화를 통한 L-PBF 박판 3.3% Si 전기강판의 제조 공정 및 특성 분석

In this study, electrical steel was additively manufactured using the Laser Powder Bed Fusion (LPBF) process with 3.3% Si powder. The effects of varying laser power, scanning speed, and Y-axis scanning angle on the microstructure, density, surface roughness, and hardness were investigated. Machine l...

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Veröffentlicht in:	대한금속·재료학회지, 63(8) Jg. 63; H. 8; S. 568 - 582
Hauptverfasser:	김현아, Hyeonah Kim, 박세민, Semin Park
Format:	Journal Article
Sprache:	Koreanisch
Veröffentlicht:	대한금속재료학회 05.08.2025 대한금속·재료학회
Schlagworte:	Machine learning Magnetic materials Powder processing Scanning electron microscopy(SEM) Si steels 재료공학
ISSN:	1738-8228, 2288-8241
Online-Zugang:	Volltext
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