A machine learning approach to characterise fabrication porosity effects on the mechanical properties of additively manufactured thermoplastic composites

Amadi Gabriel Udu, Noman Osa-Uwagboe, Olusanmi Adeniran, Deji Aremu, Maryam Ghalati Khaksar, Hongbiao Dong

    Research output: Contribution to journal › Article › peer-review

    4 Citations (Scopus)
    119 Downloads (Pure)

    Fingerprint

    Dive into the research topics of 'A machine learning approach to characterise fabrication porosity effects on the mechanical properties of additively manufactured thermoplastic composites'. Together they form a unique fingerprint.

    Material Science

    Engineering

    Chemical Engineering