Print Email Facebook Twitter Influence of Automated Fiber Placement in Fused Deposition Modelling with reinforced thermoplastic materials Title Influence of Automated Fiber Placement in Fused Deposition Modelling with reinforced thermoplastic materials Author Mora Benitez, Christian (TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Precision and Microsystems Engineering) Contributor Ayas, C. (mentor) van Keulen, A. (graduation committee) Accardo, A. (graduation committee) Degree granting institution Delft University of Technology Programme Mechanical Engineering | Mechatronic System Design (MSD) Date 2022-01-31 Abstract Fused deposition modeling (FDM) is one of the fastest-growing additive manufacturing processes in recent years. Nevertheless, the mechanical properties cannot be matched to those of traditional manufacturing methods such as injection molding.The research presented in this report aims to demonstrate the limitations of fusion deposition models and proposes automated fiber placement (AFP) as a way to mitigate them by improving transversal tensile strength and elastic modulus.The background and main characteristics of the stated processes, as well as the state of the art, are discussed in this paper. It is explained how both methods were integrated for a production line built specifically for the execution of this research. The key parameters are listed, along with their impact on the end part.Mechanical parameters such as tape-to-print bonding strength, tape-to-tape bonding strength, molding unidirectional fabric tensile strength, and 3D printed part tensile strength were all compared in the experiments. The major challenges to be addressed are surface roughness, print-to-tape contact area, and heat transfer when taping, according to the results. Yet, there is still a large potential for these methods to achieve better performance. Subject Fiber PlacementFDM printingThermoplastics To reference this document use: http://resolver.tudelft.nl/uuid:3fee5553-6e60-4c8c-812e-419556f16c34 Embargo date 2024-01-31 Part of collection Student theses Document type master thesis Rights © 2022 Christian Mora Benitez Files PDF Thesis_Report_Final_4725573.pdf 37.8 MB Close viewer /islandora/object/uuid:3fee5553-6e60-4c8c-812e-419556f16c34/datastream/OBJ/view