Experimental investigation and laser control in Ti10Mo6Cu powder bed fusion: optimizing process parameters with machine learning
Abstract Laser Powder Bed Fusion (LPBF) is a key additive manufacturing technique, yet achieving optimal track formation remains a challenge due to the complex interplay of laser parameters. This study presents a hybrid experimental and machine learning (ML) approach to enhance laser control in the...
Saved in:
| Main Authors: | Ouf A. Shams, Hanan B. Matar Al-Baity, Luttfi A. Al-Haddad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
|
| Series: | Discover Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43939-025-00322-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigation of Ti65 Powder Spreading Behavior in Multi-Layer Laser Powder Bed Fusion
by: Zhe Liu, et al.
Published: (2025-05-01) -
Laser Powder Bed Fusion of CuSn10: A Review
by: Robert Kremer, et al.
Published: (2025-03-01) -
Continuous reuse of polyamide 12 in powder bed fusion
by: Aleksander Kubeczek, et al.
Published: (2025-07-01) -
Flexural properties of Ti-6Al-4V sandwich structures with novel lattice core geometries produced by electron beam powder bed fusion
by: Eric Bol, et al.
Published: (2025-09-01) -
Tribo-technological features of laser powder bed fusion process: scratch and wear resistance of AlSi10Mg aluminium alloy
by: Danilo Guarino, et al.
Published: (2024-10-01)