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SENSING IN-SITU TEMPERATURES BY COORDINATES IN FUSED FILAMENT FABRICATION FOR IDENTIFYING INTERLAYER ANISOTROPIC MECHANICAL PROPERTIES AND ENABLING POST-FEM ANALYSIS

Published online by Cambridge University Press:  19 June 2023

Erik Amlie
Affiliation:
NTNU
Emil Fylling
Affiliation:
NTNU
Sindre Wold Eikevåg
Affiliation:
NTNU
Ole S. Nesheim*
Affiliation:
NTNU
Martin Steinert
Affiliation:
NTNU
Christer W. Elverum
Affiliation:
NTNU
*
Nesheim, Ole S., NTNU, Norway, ole.s.nesheim@ntnu.no

Abstract

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In Additive Manufacturing (AM), new generations of polymer composites presented as engineering- grade materials provide high-end mechanical properties with the design freedom AM provides. Interlayer anisotropy is the main challenge in both in-situ optimization and post-analysis in transitioning from prototypes to high-performance components in fused filament fabrication (FFF). Recent studies show a direct correlation between layer fusion temperature and mechanical properties. In this paper, we present synchronized position and temperature data and study how a component changes based on layer height and geometry. An IR sensor transfers data while printing a G-code generated by FullControllGcode, printing in a single direction and recording temperature in front of the nozzle. Results show that within each layer, a Δt of 20°C at thinner geometries, the heat loss will provide a reduction in mechanical properties and further heat loss occurs when moving away from the heated bed. By using the presented temperature mesh in further studies, post- printed anisotropic components can be analyzed by FEM, and the FFF process can be adaptively optimized based on location, size and geometry.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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