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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-06272024-122340


Tipo di tesi
Tesi di laurea magistrale
Autore
CARTONI, FRANCESCA
URN
etd-06272024-122340
Titolo
Optimization of processing conditions to tailor mechanical properties of sustainable basalt composites
Dipartimento
INGEGNERIA CIVILE E INDUSTRIALE
Corso di studi
MATERIALS AND NANOTECHNOLOGY
Relatori
relatore Prof.ssa Aliotta, Laura
relatore Prof. Gigante, Vito
relatore Prof. Lazzeri, Andrea
Parole chiave
  • analytical model
  • automotive
  • basalt
  • bio
  • composite
  • extrusion
  • Ludovic
  • natural fiber
  • polyamide
  • simulations
  • sustainable
Data inizio appello
16/07/2024
Consultabilità
Non consultabile
Data di rilascio
16/07/2064
Riassunto
The aim of this work was the optimization of processing conditions to produce a bio polyamide 11 based composite with short basalt fibers for automotive applications. The industrial method to produce this composite involves using a twin-screw extruder to properly mix the polymer and the fibers. Fiber length determines properties of the composite, including density, strength, stiffness, elastic and flexural modulus, therefore it is a crucial factor to minimize the fiber breakage during the extrusion and suitable mixing within the polymeric matrix. Consequently, the objective of this thesis is to investigate this phenomenon. Using LUDOVIC® software the final length distribution and the fiber breakage was predicted. A Design of Experiment (DOE) was carried out to find the proper speed of the screws, combined to the flow rate, to maximize the global mixing index reducing the energy consumption. Once the extrusion parameters were selected the predicted results were verified by the real extrusion process. Three different basalt fibers content (10, 15 and 20 wt.%) were produced. Subsequently, injection molding was performed to obtain specimens for the evaluation of the main mechanical and thermal properties. Finally, the adhesion between fibers and matrix was evaluated by analytical models and validated by SEM micrographs.
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