Downloads provided by UsageCounts
Abstract The shelf life performance of polylactic acid (PLA) filaments for 3D printing is limited by aging mechanisms in terms of durability. In this work, the aged PLA and composite filaments filled with 12 wt% of graphene nanoplatelets (GNP), multiwall carbon nanotubes (MWCNT), and their hybrid mixture (1:1) were studied, after 24 months storage in a laboratory environment. Solid annealing at 80 °C for 4 h and pre-melt annealing at 120 °C for 3 h were applied in order to improve the performances of the aged filaments. It was found that the graphene-carbon nanotube fillers enhance the crystallinity, thermal stability, electrical conductivity and tensile Young's modulus, along with reduced tensile strength, elongation and toughness, compared to the neat PLA. The annealing was found efficient to substantially improve mechanical, thermal and electrical properties of the aged PLA-based composite filaments however, the annealing temperature have to be tuned according to the type of carbon nanofiller and the target properties.
Annealing, Raman spectroscopy, Differential scanning calorimetry (DSC), Thermogravimetric analysis, Electrical properties, Mechanical properties
Annealing, Raman spectroscopy, Differential scanning calorimetry (DSC), Thermogravimetric analysis, Electrical properties, Mechanical properties
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 83 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
| views | 3 | |
| downloads | 32 |

Views provided by UsageCounts
Downloads provided by UsageCounts