Printing Platform Research Articles

Scanning Electron Microscopy and EDX Spectroscopy of Commercial Swabs Used for COVID-19 Lateral Flow Testing.

The chemical composition of COVID test swabs has not been examined beyond the manufacturer's datasheets. The unprecedented demand for swabs to conduct rapid lateral flow tests and nucleic acid amplification tests led to mass production, including 3D printing platforms. Manufacturing impurities could be present in the swabs and, if so, could pose a risk to human health. We used scanning electron microscopy and energy dispersive X-ray (EDX) spectroscopy to examine the ultrastructure of seven assorted brands of COVID test swabs and to identify and quantify their chemical elements. We detected eight unexpected elements, including transition metals, such as titanium and zirconium, the metalloid silicon, as well as post-transition metals aluminium and gallium, and the non-metal elements sulphur and fluorine. Some of the elements were detected as trace amounts, but for others, the amount was close to reported toxicological thresholds for inhalation routes. Experimental studies have shown that the detrimental effects of unexpected chemical elements include moderate to severe inflammatory states in the exposed epithelium as well as proliferative changes. Given the massive testing still being used in the context of the COVID pandemic, we urge caution in continuing to recommend repeated and frequent testing, particularly of healthy, non-symptomatic, individuals.

Near-perfect turning of robot-based 3D printing continuous carbon fiber reinforced nylon composites based on fiber-scale internal stress characterization

Mechanical metamaterials based on continuous fiber reinforced composites exhibit excellent mechanical properties. Continuous fiber 3D printing is counted as an ideal manufacturing approach for mechanical metamaterials. Currently, most metamaterial lattice structures are printed at centimeter-scale. The significant change in the width of the printed filament caused by fiber twist and shift during steering is an obvious defect when turning with minor radius. Near-perfect turning is proposed herein as a turning under the smallest possible printing radius, and the printed filaments present superior width retention rate. The key to printing high-precision composite lattice structures below centimeter-scale is to assess the near-perfect turning radius. Therefore, a fiber near-perfect turning placement model was established and the near-perfect turning radius ra was assessed by measuring the fiber-scale internal stress required in the model. The precision evaluations show that the near-perfect turning radius calculated by the model is in good agreement with the experimental value, proving the model’s validity. In the case of the Robot-based printing platform and Nylon-carbon fiber composites, the near-perfect turning radius is 2.0 mm. This study establishes a solid process foundation for metamaterial manufacturing below the centimeter scale.

Cu-C3N4 nanoenzyme-based freezing-dried bioactive capsule integrated with 3D-printed smartphone platform for visual detection of organophosphorus pesticides paraoxon in scallion

Rapid detection of pesticide residues in vegetables has recently attracted much attention. Herein, a Cu-modified graphitic carbon nitride nanomaterial (Cu-C3N4) with peroxidase (POD)-like property was synthesized to construct an enzyme-based colorimetric sensing platform for the detection of organophosphorus pesticides paraoxon. Cu-C3N4 could catalyze H2O2 produced by reaction of acetylcholine with acetylcholinesterase and choline oxidase, and then further oxidized 3,3,5,5-tetramethylbenzidine (TMB) to produce a blue colored product. Presence of organophosphorus pesticide paraoxon (PA) restrained the activity of acetylcholinesterase AChE, triggering a remarkably decreased amount of H2O2 towards TMB oxidation, which led to the inhibition of oxidation reaction. After that, the reaction solutions were freeze-dried in a portable bioactive capsule with addition of trehalose as stabilizer for improved enzymes activities. On the basis of the variation in gray-scale values of blue colored TMB solutions using an application, a smartphone-based 3D printing platform was obtained with a linear range from 100 to 33,000 nM (R2 =0.994) and a detection limit of 13 nM (3σ/k). This smartphone-based 3D-printed colorimetric platform combined with a bioactive capsule offers a novel approach with the potential for rapid detection of PA in vegetables.

Batch Scale Production of 3D Printed Extraction Sorbents Using a Low-Cost Modification to a Desktop Printer.

This study reports a simple modification to a commercial resin 3D printer that significantly reduces the amount of prepolymer material needed for the production of extraction sorbents. The modified printing platform is demonstrated in the printing of two imidazolium-based ionic liquid (IL) monomers. Two geometries resembling a blade-type polymeric ionic liquid (PIL) sorbent used in thin-film microextraction and a fiber-type sorbent used in solid-phase microextraction (SPME) were printed. The SPME PIL sorbents were used to extract 10 organic contaminants, including plasticizers, antimicrobial agents, UV filters, and pesticides, from water followed by high-performance liquid chromatographic (HPLC) analysis. To compare the extraction performance of the SPME sorbents, seven fibers printed with the same prepolymer composition from the same printing batch as well as different batches were evaluated. The results revealed highly reproducible extraction efficiencies for all tested sorbents with no statistical difference in their extraction performance. Method validation showed acceptable linearity (R2 > 0.92) for all analytes with limits of detection and limits of quantification ranging from 0.13 to 45 μg L-1 and 0.43 to 150 μg L-1, respectively.

4D Printing Technology Based on Magnetic Intelligent Materials: Materials, Processing Processes, and Application.

4D printing technology refers to the manufacturing of products using 3D printing techniques that are capable of changing shape or structure in response to external stimuli. Compared with traditional 3D printing, the additional dimension is manifested in the time dimension. Facilitated by the advancement of magnetic smart materials and 3D printing technology, magnetically controlled 4D printing technology has a wide range of application prospects in many fields such as medical treatment, electronic flexible devices, and industrial manufacturing. Magnetically controlled 4D printing technology is a new scientific research field in the 21st century, which includes but is not limited to the following disciplines: mechanics, materials, dynamics, physics, thermodynamics, and electromagnetism. It involves many fields and needs to be summarized systematically. First, this article introduces various magnetic intelligent materials, which are suitable for magnetically controlled 4D printing, and discusses their programmability. Second, regarding the printing process, the article introduces how to preset the material distribution as well as the research progress about the optimization of magnetically controlled 4D printing platforms and the distribution of magnetic field profiles. Third, the article also makes a brief introduction to the applications of magnetically controlled 4D printing technology in medical, electronic flexible devices, and industrial manufacturing fields.

Embedded 3D printing and pressurized thermo-curing of PMMA for medical implants

Poly (methyl methacrylate) (PMMA) is a synthetic polymer commonly used for medical implants in cranioplasty and orthopedic surgery owing to its excellent mechanical properties, optical transparency, and minimal inflammatory responses. Recently, the development of 3D printing opens new avenues in the fabrication of patient-specific PMMA implants for personalized medicine. However, challenges are confronted when adapting medical-grade PMMA to the 3D printing process due to its dynamic viscosity and nonself-supporting characteristics before cured. In addition, the intrinsically exothermic polymerization of MMA brings about bubble generation issues that reduce its mechanical performance harshly. Therefore, in this study, an embedded 3D printing methodology followed by pressurized thermo-curing is proposed and developed: a granular alginate microgel is designed for serving as a supporting matrix when jamming formed between the granules to structurally support the extruded precursor filaments of PMMA-MMA ink during both 3D printing and post-curing; moreover, the autoclave reactor enclosing the alginate matrix and as-sculpted PMMA structures is utilized to generate temperature-dependent pressure, which serves for suppressing the bubbles and solidifying the polymerized MMA during the post-curing process. The 3D printed PMMA is comparably matchable to traditional PMMA castings in terms of their microstructures, density, thermal properties, mechanical performance and biocompatibility. In the future, the proposed embedded 3D printing platform combined with the special post-curing method has great potential for a customized and cost-effective fabrication of patient-specific, complex and functional PMMA implants.

Impact of Digital Technology Capabilities on Operational Performance of the Media Industry: A Systematic Review

Purpose: The media sector comprises diverse modes of communication, such as print, broadcast, and digital platforms. The emergence of digital media has resulted in substantial changes, posed challenges to conventional media platforms, and presented novel prospects. Notwithstanding, the media sector encounters impediments such as copyright infringement apprehensions and the imperative to generate revenue from digital material. In addition, the industry has been disrupted by technological advancements and competition from digital behemoths such as Google and Facebook. The utilization of digital technology capability and digital innovation has become essential in augmenting operational performance. The significance of digital innovation in the media industry is increasingly being acknowledged. However, there is a dearth of literature concerning the impact of digital tech on performance in this sector.
 Methodology: The present study endeavors to bridge the existing research lacuna by undertaking a systematic review of literature to investigate the correlation between digital technology proficiency, digital innovation, and operational efficacy in the media sector. The PRISMA protocol was employed to conduct a search across four databases, and a content-based research methodology was utilized to analyze the collected studies. The search strategy involved the integration of controlled vocabulary terms and keywords, as well as the application of Boolean operators to enhance the precision of the search across multiple databases, including Web of Science, Scopus, IEEE Xplore, and Google Scholar. The inclusion criteria comprise studies that were conducted subsequent to the year 2010, authored in the English language, and have undergone peer-review. In accordance with the established inclusion criteria, a cumulative total of 23 studies (n =23) were deemed eligible for analysis.
 Findings: The findings of the systematic review show the significant impact of digital technology proficiency on the functional efficiency of the media sector. The capacity of digital technology, which includes proficiency, assets, and skills, is of paramount importance in propelling digital advancement and augmenting operational efficacy. The integration of digital technologies within the media industry has resulted in the democratization of content, the convergence of media platforms, and the emergence of novel hybrid media formats. The impact of digital capabilities on business performance can change, but in order to increase business performance, digital capabilities must lead to new digital innovations, which in turn can boost business performance.
 Unique contribution to theory, practice and policy: In order to achieve success in the contemporary digital landscape, media entities must strategically confront technological challenges, adopt digital advancements, and adjust to evolving market dynamics.

The Exploration of Ink Formulations in Binder Jet 3D Printing Drugs.

The application of binder jet 3D printing technology in the pharmaceutical field is developing rapidly. The properties of the ink are very important, affecting the stability of the ejection and the precision of the finished product, but there is a great lack of research on pharmaceutical inks. This study used solvents and excipients commonly used in pharmaceuticals to quantify the printability of inks using printability Z value theory, while using an ink-jet printing and observation platform to analyze the droplet ejection state of different composition inks from microscopic level. Studies have shown that compared to ethanol, the ejection effect of droplets was better when isopropanol was added to the ink, and the proportion added should not be greater than 40%; as the molecular weight of polyvinylpyrrolidone (PVP) increased, the concentration of PVP tolerated by the ink decreased; glycerin has a high ejection efficiency when the proportion is within 10%. In summary, a superior ink formulation of 40% aqueous isopropanol plus 0.1% PVP K30 and 4% glycerin was obtained. With this ink, levetiracetam dispersible tablets were prepared with a smooth printing process and the tablets had good appearance, good mechanical properties, and rapid release. This study provides a mutual validation of the Z value theory and the results of droplet ejection and tablet printing, while providing good ideas.

A high-throughput mass cytometry barcoding platform recapitulating the immune features for HCC detection

Early diagnosis of hepatocellular carcinoma (HCC), a highly malignant disease, is crucial for improving patient prognosis. Liquid biopsy has emerged as a promising approach for cancer detection, especially peripheral immunity profiling using mass cytometry time-of-flight (CyTOF). While the limitied throughput and high cost hamper its widespread application. To address these challenges, we developed an automated micro-droplet printing platform to achieve high-throughput mass cytometry barcoding (MCB) strategy. Utilizing a poly (methyl methacrylate) (PMMA) plane substrate, we established a multiplex barcoding checkboard in binary labeling strategy through “plate covering”. To validate the utility of our system, we applied the multiplex barcoding system to label human peripheral blood samples from two cohorts consisting of 16 and 64 samples respectively, while successfully recapitulating the immune features associated with HCC. The ability of high-throughput barcoding samples empowers the application of CyTOF for large-scale HCC detection and other potential uses.

Addressing Uncertainties in Potential Human Dietary Exposure to Mercury in the Watershed of the South River, Virginia, USA.

Much has been published about the harmful effects to humans when they are exposed to mercury (Hg) in environmental media including their diet. Numerous health advisories around the world, including for the South River, Virginia, USA, warn against consumption of Hg-contaminated fish species. Fewer studies have focused on other dietary sources of Hg and how to advise humans potentially exposed by this route. In undertaking a human health risk assessment for the former DuPont facility in Waynesboro, Virginia, USA, and the nearby South River and surrounding watershed, the available published information on Hg exposure through dietary consumption of nonfish items proved unsuitable for extrapolation purposes. In response, an evaluation of potential Hg exposure to residents who might consume livestock, poultry, and wildlife raised or collected in the South River watershed was conducted to inform the risk-assessment process. The newly collected data on Hg in these dietary items filled an important data gap, suggesting that there was little concern about limiting dietary consumption for most items. These results were communicated to the public through print and electronic platforms, in the form of "fact sheets." We describe the studies and actions taken to better explain the potential for human exposures to Hg in nonfish dietary items from a portion of the watershed of the South River. Environ Toxicol Chem 2023;42:2237-2252. © 2023 SETAC.

Relationship between programming stress and residual strain in FDM 4D printing

4D printing with fused deposition modeling (FDM) enables the production of smart structures using smart materials that can change their shape over time. During the printing process, stresses are introduced into the structure that are relieved when exposed to an external stimulus, in this case, when raising the temperature above the glass-transition temperature TTrans\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${T}_{Trans}$$\\end{document}. This article investigates the relationship between stress and strain during 4D printing. We mounted the print platform on load cells to measure the forces in x-direction during printing. Flat hinges made of PLA are printed and are activated by immersion in hot water, which causes bending of the hinge areas. We varied nozzle temperature, print speed, and melt zone length to investigate their influence on programming force and post-activation curvature. Programming force and curvature translate into stress and strain, when specimen geometry is taken into account. The results are approximated by a linear relationship between programming stress and recovery strain. However, these gradients are different for each printing parameter. Lower nozzle temperature, shorter melt zone and higher print speed all result in higher forces and higher curvatures. However, increasing the forces by raising print speed results in a smaller increase in curvature than when the same increase in force is applied by lowering nozzle temperature. This is partly due to the heating and cooling process of the structure, which in turn depends on the printing parameters.

Effect of printing design and forming thermal environment on pseudo-ductile behavior of continuous carbon/glass fibers reinforced nylon composites

Hybrid carbon/glass fibers composites can possess pseudo-ductility of progressive failure through material design to achieve the function of load early warning. The printing design and forming thermal environment of parts have important influence on the pseudo-ductile behavior of hybrid fiber composites. In this paper, the hybrid continuous carbon/glass fibers reinforced nylon composites with progressive failure pseudo-ductility were prepared by additive manufacturing, and the effects of printing layer thickness, carbon/glass fibers layer ratio and forming thermal environment on the tensile properties and pseudo-ductility of hybrid fiber composites were investigated and characterized. The results indicate that the printing layer thickness has no significant impact on the tensile strength of hybrid fiber composites, the pseudo-ductility is obvious when the layer thickness of [G5C2G5] is 0.075 mm and 0.125 mm. With the same material ratio, reducing the layers or setting the printing platform temperature (100 °C) can decrease defects generation to achieve the better pseudo-ductility. However, the pseudo-ductility immensely weakens using the annealing treatment of 120 °C for 3 h. The pseudo-ductility of the [G5C2G5]0.075, [G5C2G5], [G3C1G3] and [G4C1G4] samples have been discovered successfully.

A comparison between large-format 3D printing and conventional fused filament fabrication

ABSTRACT This paper reports the results of a comparison study between objects printed with a large-format 3D printing machine and a conventional fused filament fabrication (FFF) printer. A pellet extrusion head was developed and integrated into a cartesian 3D printing platform, obtaining a large-format 3D printing system based on the FFF technique. This integration allows to use polymerised pellets as raw material and printing with a larger stroke through bigger nozzles than conventional FFF nozzles. In addition, this integration enables printing pieces with considerably thicker layers compared with a traditional FFF process. One of the concerns addressed in this study was the mechanical performance of the objects obtained by the large-format 3D printer. Hence, a comparison of the surface’s roughness, maximal tensile stress, tensile modulus, and deformation were made between pieces printed in a large-format 3D printer and a conventional FFF printer. The results reveal that large-format 3D printing has important benefits, such as reducing the time required to print objects, improving the mechanical performance of the printed pieces, and enabling the use of composite materials in additive manufacturing. However, some drawbacks are noticed, e.g. the low resolution and poor surface finish obtained.

Hardness and modulus programmable tuning for silicone 3D printing device and experiment

PurposeThe purpose of this study was to fabricate silicone products that had different hardnesses and moduli, thus partially addressing the limitations of homogeneous materials whose deformation depends on altered structure or dimensions, and to provide new dimensions for the design of silicone soft structures.Design/methodology/approachA soft material three-dimensional printing platform with a dual-channel printing capability was designed and built. Using the material extrusion method, material screening was first performed using single-channel printing, followed by dual-channel-regulated printing experiments on products having different hardness and modulus values.FindingsThe proportion of additives has an effect on the accuracy of the printed product. Material screening revealed that Sylgard 527 and SE 1700 could be printed without additives. The hardness and mechanical properties of products are related to the percentage in their composition of hard and soft materials. The hardness of the products could be adjusted from 26A to 42A and the Young’s modulus from 0.875 to 2.378 Mpa.Originality/valueExisting silicone products molded by casting or printing are mostly composed of a single material, whose uniform hardness and modulus cannot meet the demand for differentiated deformation in the structure. The existing multihardness silicone material printing method has the problems of long material mixing time and slow hardness switching and complicated multi-extrusion head switching. In this study, a simple, low-cost and responsive material extrusion-based hardness programmable preparation method for silicone materials is proposed.

Characterizing properties of scaffolds 3D printed with peptide-polymer conjugates

Three-dimensional (3D) printing is a popular biomaterials fabrication technique because it enables scaffold composition and architecture to be tuned for different applications. Modifying these properties can also alter mechanical properties, making it challenging to decouple biochemical and physical properties. In this study, inks containing peptide-poly(caprolactone) (PCL) conjugates were solvent-cast 3D printed to create peptide-functionalized scaffolds. We characterized how different concentrations of hyaluronic acid-binding (HAbind-PCL) or mineralizing (E3-PCL) conjugates influenced properties of the resulting 3D-printed constructs. The peptide sequences CGGGRYPISRPRKR (HAbind-PCL; positively charged) and CGGGAAAEEE (E3-PCL; negatively charged) enabled us to evaluate how conjugate chemistry, charge, and concentration affected 3D-printed architecture, conjugate location, and mechanical properties. For both HAbind-PCL and E3-PCL, conjugate addition did not affect ink viscosity, filament diameter, scaffold architecture, or scaffold compressive modulus. Increasing conjugate concentration in the ink prior to printing correlated with an increase in peptide concentration on the scaffold surface. Interestingly, conjugate type affected final conjugate location within the 3D-printed filament cross-section. HAbind-PCL conjugates remained within the filament bulk while E3-PCL conjugates were located closer to the filament surface. E3-PCL at all concentrations did not affect mechanical properties, but an intermediate HAbind-PCL concentration resulted in a moderate decrease in filament tensile modulus. These data suggest final conjugate location within the filament bulk may influence mechanical properties. However, no significant differences were observed between PCL filaments printed without conjugates and filaments printed with higher HAbind-PCL concentrations. These results demonstrate that this 3D printing platform can be used to functionalize the surface without significant changes to the physical properties of the scaffold. The downstream potential of this strategy will enable decoupling of biochemical and physical properties to fine-tune cellular responses and support functional tissue regeneration.

Smart recoating: A digital twin framework for optimisation and control of powder spreading in metal additive manufacturing

We present a new framework for learning novel operational strategies and dynamically controlling the layering process in metal additive manufacturing. Metal additive manufacturing technologies such as powder bed fusion (PBF) are generally constrained by a fixed action powder spreading process. At every layer, the print platform is lowered by a fixed amount, and the same recoating action is performed. Ideally this would lead to consistent layering and identical properties each time, but frequently process variability disrupts this procedure, leading to inconsistent layers. This can be mitigated by intelligently controlling the powder spreading process, which we achieve via a shift to digital methodologies that can reveal new process strategies and dynamically update the printer commands. We employ Bayesian optimisation as a method to build and train surrogate models for real-time control. We then demonstrate the utility of this Smart Recoating approach within an integrated simulation framework driven by realistic Discrete Element Method powder spreading simulations. Our results inform new strategies for controlling the recoater and print stage displacements, and demonstrate the potential of a digital twin control system to mitigate process variation and achieve consistent print quality in each layer.

Study of the Mechanical Properties of 3D-printed Onyx Parts: Investigation on Printing Parameters and Effect of Humidity

Recently, an increasing number of parts have been produced using additive manufacturing technology. They are no longer simply prototypes but structural parts whose mechanical characteristics must be known before printing. One of the weaknesses of 3D printing is the significant variability in the dimensions and geometrical and mechanical properties of the printed parts. These properties depend on specific printing parameters and environmental conditions. This study aims to determine the influence of two printing parameters, namely, the orientation and positioning of the parts on the printing platform and the influence of humidity on the mechanical properties of the parts. The studied samples were fabricated with onyx using a Markforged X7 printer. The results showed that onyx could be considered an isotropic material to a certain extent because its mechanical properties do not vary sufficiently according to the orientation angle on the printing platform; a maximum deviation of 10% was observed between the different orientations. In contrast to the orientation, the positioning (flat or XY, on-edge or XZ, and upright or ZX) of the workpieces significantly influenced the mechanical properties. Positioning on the edge allowed the Young's modulus to be up to 50% greater than that of flat and upright positioning. The study of the sensitivity to humidity revealed that a specimen absorbs approximately 2% of the humidity and loses up to 65% of its Young's modulus after 165 days of exposure, significantly influencing the mechanical properties of the parts. Consideration should be given to this aging of onyx when using printed parts as structural parts.

Infodemic- A new rapidly evolving virtual communicable pandemic with global threat! Hypothetical or real?

‘Infodemic’ is a pandemic of misinformation spread in a pandemic manner regarding health issues of global concern. Globally, Infodemic is rapidly rising and more adverse outcomes are observed in social, economic and family lives. Infodemic is reported first time during SARS in 2003 & now during evolution of COVID-19 pandemic in 2020. Infodemic is more rapidly spreading pandemic than any communicable disease due to its ultrafast method of transmission by means of electronic & social media in the form of print or digital platform. Here, in Infodemic, the culprit is ‘misinformation’ spread without any scientific evidence regarding health issues of global concern. During COVID-19 pandemic infodemic evolved parallel with actual natural viral disaster and documented comparable effects on mankind globally. Infodemic is considered a global issue of concern for this decade. Infodemic in COVID-19 pandemic was documented as source of agent to cause & its evolution globally, available treatment options such as Remdesivir and its safety with efficacy & lastly, COVID-19 vaccines and its role in preventing and protecting COVID-19 disease with adverse events. Infodemic needs more stringent steps to control before its evolution, which includes active involvement of health experts, medical scientists, government agencies and trust organizations working worldwide. Timely shared right and scientifically evidenced proof information is a key step in controlling misinformation and ‘infodemic’.

Impact of varying macronutrient composition on the printability of pea-based inks in extrusion-based 3D food printing

Personalized foods with varying macronutrient compositions can be created by 3D food printing to fulfill the dietary requirements of individual consumers. In this work, we aim to quantitatively study the influence of varying multiple macronutrient concentrations on printability of food inks, by applying a systematic approach. Pea-based food inks consisting of insoluble pea fibre, pea protein, and native pea starch were formulated and water was added following these ingredients’ respective water holding capacities. Printability was quantified in terms of extrudability (force required to extrude material out of a cartridge), buildability (flow point to determine shape stability after deposition on the printing platform), and printing precision (surface defect index (SDI) of the printed object). This approach helps to efficiently define a printable landscape of pea-based inks with a large variation in macronutrient composition. Our results show that increasing protein concentration resulted in increased extrusion force and flow point, while the opposite effect was found for fibre. Of all the tested pea-based formulations, 71% could be printed to a height of 50 mm with high printing precision (SDI<0.14). The presented systematic approach provides a solid basis for rapid development of printable plant-based inks while avoiding a trial-and-error approach to optimize inks with highly variable macronutrient composition.

MWCNTs-GNPs Reinforced TPU Composites with Thermal and Electrical Conductivity: Low-Temperature Controlled DIW Forming.

As an effective technique for fabricating conductive and thermally conductive polymer composites, a multi-filler system incorporates different types and sizes of multiple fillers to form interconnected networks with improved electrical, thermal, and processing properties. In this study, DIW forming of bifunctional composites was achieved by controlling the temperature of the printing platform. The study was based on enhancing the thermal and electrical transport properties of hybrid ternary polymer nanocomposites with multi-walled carbon nanotubes (MWCNTs) and graphene nanoplates (GNPs). With thermoplastic polyurethane (TPU) used as the matrix, the addition of MWCNTs, GNPs and both mixtures further improved the thermal conductivity of the elastomers. By adjusting the weight fraction of the functional fillers (MWCNTs and GNPs), the thermal and electrical properties were gradually explored. Here, the thermal conductivity of the polymer composites increased nearly sevenfold (from 0.36 W·m-1·k-1 to 2.87 W·m-1·k-1) and the electrical conductivity increased up to 5.49 × 10-2 S·m-1. It is expected to be used in the field of electronic packaging and environmental thermal dissipation, especially for modern electronic industrial equipment.