2018
DOI: 10.1016/j.addma.2018.07.011
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Investigation of process-structure-property relationships in polymer extrusion based additive manufacturing through in situ high speed imaging and thermal conductivity measurements

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Cited by 25 publications
(17 citation statements)
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“…Despite it being difficult to make a real comparison with κ data reported for distinct 3D printed materials, namely metals and polymers, due to the multitude of printing variables affecting their structuring features as well as the different thermal conductivity measurement methods, data approximate the exponential Equation (1) when identifying the π macro (present work) to the void fraction, which is the parameter commonly used in fused deposition modeling (FDM). Most of the data included in Figure 7d correspond to materials fabricated by FDM using metal and polymer filaments (empty symbols in Figure 7d), and methods used for measuring the thermal conductivity varied between the TPS [44] for which the average κ (calculated as √κ x κ z from the reported data) was represented, and the heat flow meter [45,46] and the guarded hot-plate, [47] both providing values of κ z . On the other hand, data for 3D ceramic scaffolds manufactured by robocasting (full symbols in Figure 7d) were estimated from high resolution infrared thermography.…”
Section: Resultsmentioning
confidence: 99%
“…Despite it being difficult to make a real comparison with κ data reported for distinct 3D printed materials, namely metals and polymers, due to the multitude of printing variables affecting their structuring features as well as the different thermal conductivity measurement methods, data approximate the exponential Equation (1) when identifying the π macro (present work) to the void fraction, which is the parameter commonly used in fused deposition modeling (FDM). Most of the data included in Figure 7d correspond to materials fabricated by FDM using metal and polymer filaments (empty symbols in Figure 7d), and methods used for measuring the thermal conductivity varied between the TPS [44] for which the average κ (calculated as √κ x κ z from the reported data) was represented, and the heat flow meter [45,46] and the guarded hot-plate, [47] both providing values of κ z . On the other hand, data for 3D ceramic scaffolds manufactured by robocasting (full symbols in Figure 7d) were estimated from high resolution infrared thermography.…”
Section: Resultsmentioning
confidence: 99%
“…This phenomenon reduces crystallization time and has a significant impact on the inter-strand bonding, thus affecting the mechanical strength of the print. Ravoori et al [2] performed thermal conductivity measurements of the extruded strand and used high-speed imaging techniques to observe microstructure of the build path. They observed that thermal conductivity increases with increasing infill percentage, layer height and decreasing extruder speed.…”
Section: Influence Of Inter-strand Bonding On Strengthmentioning
confidence: 99%
“…Quantitative predictions also rely on thorough materials characterization, including linear viscoelasticity, nucleation and crystal growth rates, as well as thermal properties, which remains non-trivial since the thermoplastic polymer properties for elevated temperature processing in MatEx are usually highly temperature dependent [107]. The Additive Manufacturing Benchmark (AM-Bench), focused primarily on MatEx and selective laser sintering, has been created as a platform for performing extensive in-situ and ex-situ to generate a huge repository of experimental data.…”
Section: Discussion and Future Directionsmentioning
confidence: 99%