0584910 - FZÚ 2025 RIV GB eng J - Journal Article
Stránský, O. - Tarant, Ivan - Beránek, L. - Holešovský, F. - Pathak, Sunil - Brajer, Jan - Mocek, Tomáš - Denk, Ondřej
Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening.
Surface Engineering. Roč. 40, č. 1 (2024), s. 66-72. ISSN 0267-0844. E-ISSN 1743-2944
Institutional support: RVO:68378271
Keywords : laser powder bed fusion * laser shock peening * porosity * residual stresses * aluminium * machine learning * optimisation
OECD category: Optics (including laser optics and quantum optics)
Impact factor: 2.8, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0352720
Stránský, O. - Tarant, Ivan - Beránek, L. - Holešovský, F. - Pathak, Sunil - Brajer, Jan - Mocek, Tomáš - Denk, Ondřej
Machine learning approach towards laser powder bed fusion manufactured AlSi10Mg thin tubes in laser shock peening.
Surface Engineering. Roč. 40, č. 1 (2024), s. 66-72. ISSN 0267-0844. E-ISSN 1743-2944
Institutional support: RVO:68378271
Keywords : laser powder bed fusion * laser shock peening * porosity * residual stresses * aluminium * machine learning * optimisation
OECD category: Optics (including laser optics and quantum optics)
Impact factor: 2.8, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0352720