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  1. 1.
    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
    FileDownloadSizeCommentaryVersionAccess
    0584910.pdf01.7 MBCC LicencePublisher’s postprintopen-access
     
     

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