Litcius/Paper detail

Tailoring interfacial properties of 3D-printed continuous natural fiber reinforced polypropylene composites through parameter optimization using machine learning methods

Ruijun Cai, Wei Wen, Kui Wang, Yong Peng, S. Ahzi, Francisco Chinesta

2022Materials Today Communications45 citationsDOIOpen Access PDF

Topics & Concepts

Materials scienceComposite materialPolypropyleneBendingExtrusionDelamination (geology)3D printingFiberResponse surface methodologyComposite numberComputer sciencePaleontologySubductionTectonicsMachine learningBiologyAdditive Manufacturing and 3D Printing TechnologiesInnovations in Concrete and Construction Materials3D Printing in Biomedical Research