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Green Composites Based on Mater-Bi® and Solanum lycopersicum Plant Waste for 3D Printing Applications.
Scaffaro, Roberto; Citarrella, Maria Clara; Morreale, Marco.
Afiliação
  • Scaffaro R; Department of Engineering, University of Palermo, Viale delle Scienze, 90128 Palermo, Italy.
  • Citarrella MC; INSTM, Consortium for Materials Science and Technology, Via Giusti 9, 50125 Florence, Italy.
  • Morreale M; Department of Engineering, University of Palermo, Viale delle Scienze, 90128 Palermo, Italy.
Polymers (Basel) ; 15(2)2023 Jan 08.
Article em En | MEDLINE | ID: mdl-36679205
3D printability of green composites is currently experiencing a boost in importance and interest, envisaging a way to valorise agricultural waste, in order to obtain affordable fillers for the preparation of biodegradable polymer-based composites with reduced cost and environmental impact, without undermining processability and mechanical performance. In this work, an innovative green composite was prepared by combining a starch-based biodegradable polymer (Mater-Bi®, MB) and a filler obtained from the lignocellulosic waste coming from Solanum lycopersicum (i.e., tomato plant) harvesting. Different processing parameters and different filler amounts were investigated, and the obtained samples were subjected to rheological, morphological, and mechanical characterizations. Regarding the adopted filler amounts, processability was found to be good, with adequate dispersion of the filler in the matrix. Mechanical performance was satisfactory, and it was found that this is significantly affected by specific process parameters such as the raster angle. The mechanical properties were compared to those predictable from the Halpin-Tsai model, finding that the prepared systems exceed the expected values.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article