Enhanced through‐plane thermal conductivity of polyamide 6 composites with vertical alignment of boron nitride achieved by fused deposition modeling

2019 ◽  
Vol 40 (9) ◽  
pp. 3375-3382 ◽  
Author(s):  
Yi Geng ◽  
Hui He ◽  
Yunchao Jia ◽  
Xiaodong Peng ◽  
Yingchun Li
Keyword(s):  
Thermal Conductivity ◽  
Boron Nitride ◽  
Fused Deposition Modeling ◽  
Polyamide 6 ◽  
Vertical Alignment ◽  
Fused Deposition ◽  
Deposition Modeling

scholarly journals Analysis of the surface quality of polycaprolactam 3D prints enriched with carbon and glass fiber

2021 ◽  
Vol 338 ◽  
pp. 01005
Author(s):  
Damian Dzienniak ◽  
Jan Pawlik
Keyword(s):  
Glass Fiber ◽  
Surface Quality ◽  
Fused Deposition Modeling ◽  
Polyamide 6 ◽  
Fiber Glass ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
The Impact ◽  
The Relationship

Additive manufacturing has been gaining popularity and availability year by year, which has resulted in its dynamic development. The most common 3D printing method as of today, FDM (Fused Deposition Modeling), owing to its peculiarity, does not always guarantee producing objects with low surface roughness. The authors of the present article have taken on the analysis of the impact of FDM printing on the roughness of the filament thus processed. They also investigate the relationship between the roughness of the unprocessed filament (made of polycaprolactam, that is, polyamide 6 or PA6) with admixtures of other materials (carbon fiber, glass fiber) and the surface quality of the manufactured object. The main subject of the analysis is the side surfaces of 3D prints, as it is their quality that is usually directly dependent on many factors connected with the process of the laying of the consecutive layers. The authors check step by step whether there exists a pronounced relationship between the roughness of the original filament material and the roughness of the obtained surface.

Zinc Composites With Enhanced Thermal Conductivity for Use in Fused Deposition Modeling Systems

2017 ◽  
Author(s):  
Tyler J. Sonsalla ◽  
Leland Weiss ◽  
Arden Moore ◽  
Adarsh Radadia ◽  
Debbie Wood ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Fused Deposition Modeling ◽  
Waste Heat ◽  
Conductive Polymer ◽  
Three Dimensional ◽  
Sem Images ◽  
Fused Deposition ◽  
Thermally Conductive ◽  
Deposition Modeling ◽  
Enhanced Thermal Conductivity

Waste heat is a major energy loss in manufacturing facilities. Thermally conductive polymer composite heat exchangers could be utilized in the ultralow temperature range (below 200° C) for waste heat recovery. Fused deposition modeling (FDM), also known as three-dimensional (3-D) printing, has become an increasingly popular technology and presents one approach to fabrication of these exchangers. The primary challenge to the use of FDM is the low-conductivity of the materials themselves. This paper presents a study of a new polymer-Zn composite designed for enhanced thermal conductivity for usage in FDM systems. Thermal properties were assessed in addition to basic printability. Filler volume percentages were varied to study the effects on material properties. Scanning electron microscope (SEM) images were taken of the 3-D printed test pieces to determine filler orientation and filler distribution. Lastly, experimentally obtained thermal conductivity values were compared to the theoretical thermal conductivity values predicted from the Lewis-Nielsen model.

Relationship Between Conductivities and Shape Memory Performance of FDM Composite Filaments

2017 ◽  
Author(s):  
Wenbo Liu ◽  
Nan Wu ◽  
Kishore Pochiraju
Keyword(s):  
Thermal Conductivity ◽  
Shape Memory ◽  
Shape Recovery ◽  
Fused Deposition Modeling ◽  
Filler Content ◽  
Memory Performance ◽  
Fused Deposition ◽  
Electrical Conductivities ◽  
Deposition Modeling ◽  
The Relationship

Silicon Carbide (SiC) and Carbon filled PLA Composite filaments made for use with Fused Deposition Modeling (FDM) were tested for their shape memory properties. Paper shows the relationship between the thermal and electrical conductivities of the filament and its shape recovery performance. The addition of SiC and graphite fillers accelerates the shape memory performance of PLA composites. Electrical conductivity of the filaments was characterized with I-V curves. Thermal conductivity measurements were performed, based on the ASTM D5470, on both FDM filaments and parts made with pure PLA and PLA composites. The results indicated that thermal conductivity increases with increasing SiC filler content. The conductivity increases correlate well with the reduction in the time to induce the shape recovery transition. This correlation enables control of shape transition timings in a part through the design of material composition.

scholarly journals Electrical and Thermal Conductivity of Polylactic Acid (PLA)-Based Biocomposites by Incorporation of Nano-Graphite Fabricated with Fused Deposition Modeling

Polymers ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 549 ◽  
Author(s):  
Rui Guo ◽  
Zechun Ren ◽  
Hongjie Bi ◽  
Min Xu ◽  
Liping Cai
Keyword(s):  
Thermal Conductivity ◽  
Polylactic Acid ◽  
Fused Deposition Modeling ◽  
Wood Flour ◽  
Thermoplastic Polyurethane ◽  
Volume Resistivity ◽  
Fused Deposition ◽  
Multi Walled Carbon Nanotubes ◽  
Deposition Modeling ◽  
Walled Carbon Nanotubes

The aim of the study was to improve the electrical and thermal conductivity of the polylactic acid/wood flour/thermoplastic polyurethane composites by Fused Deposition Modeling (FDM). The results showed that, when the addition amount of nano-graphite reached 25 pbw, the volume resistivity of the composites decreased to 108 Ω·m, which was a significant reduction, indicating that the conductive network was already formed. It also had good thermal conductivity, mechanical properties, and thermal stability. The adding of the redox graphene (rGO) combined with graphite into the composites, compared to the tannic acid-functionalized graphite or the multi-walled carbon nanotubes, can be an effective method to improve the performance of the biocomposites, because the resistivity reduced by one order magnitude and the thermal conductivity increased by 25.71%. Models printed by FDM illustrated that the composite filaments have a certain flexibility and can be printed onto paper or flexible baseplates.

scholarly journals Electrically Conductive Polyetheretherketone Nanocomposite Filaments: From Production to Fused Deposition Modeling

Polymers ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 925 ◽  
Author(s):  
Jordana Gonçalves ◽  
Patrícia Lima ◽  
Beate Krause ◽  
Petra Pötschke ◽  
Ugo Lafont ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Electrical Conductivity ◽  
Coefficient Of Friction ◽  
Fused Deposition Modeling ◽  
Mechanical Performance ◽  
Thermal Relaxation ◽  
Melt Mixing ◽  
Electrically Conductive ◽  
Fused Deposition ◽  
Deposition Modeling

The present work reports the production and characterization of polyetheretherketone (PEEK) nanocomposite filaments incorporating carbon nanotubes (CNT) and graphite nanoplates (GnP), electrically conductive and suitable for fused deposition modeling (FDM) processing. The nanocomposites were manufactured by melt mixing and those presenting electrical conductivity near 10 S/m were selected for the production of filaments for FDM. The extruded filaments were characterized for mechanical and thermal conductivity, polymer crystallinity, thermal relaxation, nanoparticle dispersion, thermoelectric effect, and coefficient of friction. They presented electrical conductivity in the range of 1.5 to 13.1 S/m, as well as good mechanical performance and higher thermal conductivity compared to PEEK. The addition of GnP improved the composites’ melt processability, maintained the electrical conductivity at target level, and reduced the coefficient of friction by up to 60%. Finally, three-dimensional (3D) printed test specimens were produced, showing a Young’s modulus and ultimate tensile strength comparable to those of the filaments, but a lower strain at break and electrical conductivity. This was attributed to the presence of large voids in the part, revealing the need for 3D printing parameter optimization. Finally, filament production was up-scaled to kilogram scale maintaining the properties of the research-scale filaments.

Fused deposition modeling 3D printing of boron nitride composites for neutron radiation shielding

2018 ◽  
Vol 33 (22) ◽  
pp. 3657-3664 ◽  
Author(s):  
Smith Woosley ◽  
Nasim Abuali Galehdari ◽  
Ajit Kelkar ◽  
Shyam Aravamudhan
Keyword(s):  
3D Printing ◽  
Boron Nitride ◽  
Fused Deposition Modeling ◽  
Neutron Radiation ◽  
Radiation Shielding ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Image Position

Abstract

Improving heat transfer in fused deposition modeling with graphene enhances inter filament bonding

2019 ◽  
Vol 10 (44) ◽  
pp. 5967-5978 ◽  
Author(s):  
Sahar Rostom ◽  
Mark D. Dadmun
Keyword(s):  
Heat Transfer ◽  
Thermal Conductivity ◽  
Thermal Transport ◽  
Fused Deposition Modeling ◽  
Polymeric Materials ◽  
Rational Method ◽  
High Thermal Conductivity ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
3D Printed

Creating polymeric materials with high thermal conductivity provides pathways to tailor the thermal transport of the 3D printed object during printing, effectively controlling heat transfer and offering a rational method to optimize properties.

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