Microscopic void distribution of 3D printed polymer composites with different printing direction

Liao, Binbin; Yang, Haoming; Ye, Binghang; Li, Xi

doi:10.1016/j.matlet.2023.134236

Cited by 4 publications

(1 citation statement)

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“…Shuto et al [21] studied the influence of nozzle temperature on the porosity and filament deformation and concluded that nozzle temperature had little influence on porosity, while filament area fraction was higher at both ends of the printable temperature range. Liao et al [22] used high-resolution X-ray microscopy to quantitatively count the number of voids in different printing directions and obtained results that the void volume of the sample with the 0 • printing direction was much higher than that with the printing path of 45/−45 or 0/90.…”

Section: Introductionmentioning

confidence: 99%

Evolution of Manufacturing Defects of 3D-Printed Thermoplastic Composites with Processing Parameters: A Micro-CT Analysis

Wu,

Chen,

et al. 2023

Materials

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Owing to the melting and healing properties of thermoplastic resin, additive manufacturing or 3D printing is considered one of the most promising technologies for fiber-reinforced thermoplastic composites. However, manufacturing defects are still the main concern, which significantly limits the application of 3D-printed composite structures. To gain an insight into the effects of different processing parameters on the typical manufacturing defects, a micro-scale analysis was carried out via Micro-CT technology on the 3D-printed continuous carbon fiber-reinforced polylactic acid (PLA) composite specimens. The bias distribution of the fiber in the deposited filament was found. Moreover, when the feed rate of the filament was reduced from 100% to 50%, the a/b value was closer to 3.33, but the porosity increased from 7.077% to 25.352%. When the layer thickness was 0.2 mm, the increased nozzle pressure reduced the porosity but also increased the risk of fiber bundle breakage. The research provides an effective approach for analyzing the micro-structure of 3D printed composite structures and thus offers guidance for the processing control.

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Section: Introductionmentioning

confidence: 99%