Electrical Conductivity Of Composites Research Articles

Effects of genotype and sex on carcass composition, meat quality, digestive tract morphometries and leg bone dimensions of spent parent Pekin ducks

The purpose of the present study was to analyze carcass composition, physicochemical properties, muscle texture, and structure, as well as morphometry of the digestive tract and leg bone dimensions of Cherry Valley ducks (SM3 Heavy hybrid) and Orvia ducks (ST5 Heavy hybrid) after laying. A total of 32 ducks were dissected, 8 females and 8 males from each breeding set. Analysis of meat quality (breast muscle, leg muscle) in terms of color (L*, a*, b*), acidity (pH24), electrical conductivity (EC24), and basic chemical composition (protein, water, fat, collagen) was performed. Analysis of the texture and structure of the pectoral muscle was also performed. The dimensions of the various lengths of the digestive tract and the dimensions of the tibia and femur were analyzed. Cherry Valley ducks after laying have better slaughter performance and a higher proportion of breast muscle in the carcass (P < 0.001). Also more favorable chemical composition (protein, fat, water) and physical properties (acidity, electrical conductivity, thermal loss) of muscle. In terms of texture characteristics, the pectoral muscle of Cherry Valley ducks was more elastic and cohesive, but also more flexible with higher viscosity, while the pectoral muscles of Orvia ducks in terms of structure were characterized by smaller values of the analyzed characteristics (cross-sectional area of fibers and smaller vertical and horizontal diameter). Analyzing the morphometry of the digestive system, Orvia ducks were characterized by longer sections of the digestive tract, which certainly has a beneficial effect on the absorption of nutrients. In terms of tibia and femur measurements taken, there were no differences between genotypes, while males were characterized by higher values of the analyzed traits compared to females.

Optimizing kerf quality in high-speed WEDM of thin woven CFRP composites: a taguchi, WASPAS, and PSO approach

The process of machining CFRP composites presents unique challenges, particularly in the context of WEDM. The inherent properties of CFRP composites, such as their low electrical conductivity, anisotropic nature, and heterogeneous composition, require further research to enhance their machinability through WEDM techniques. This study examines the enhancement of kerf characteristics such as kerf width (Wk), delamination factor (DFK), and cutting speed (CSK) in thin woven 0°/90° CFRP composites using high-speed WEDM. A Taguchi L16 experimental analysis was employed to analyze the impact of key process parameters, including pulse-on (Pon), pulse-off (Poff), and input current (I), in conjunction with CFRP parameters such as the CFRP thickness (T) and cutting direction on the kerf characteristics. The CFRP thickness ranged from 0.5 to 2.0 mm, and the cutting directions studied were horizontal and inclined 30° cuts. A multiple-response optimization strategy using the CRITIC-WASPAS approach coupled with a particle swarm optimization (PSO) algorithm were applied to identify the ideal process combination for various CFRP thicknesses. The findings indicated that the CFRP thickness, pulse-off time, and input current are the most statistically significant factors influencing the overall kerf characteristics. The cutting direction has a negligible effect on the kerf width but has conflicting effects on the delamination factor and cutting speed. Specifically, a horizontal cut decreases delamination, whereas an inclined 30° cut is preferable for achieving higher cutting speeds. For precise kerf cutting, optimal process combinations were determined: Pon (30 µs), Poff (30 µs), and I (ranging from 4 to 5 A) for 0.5 mm CFRP thickness, and Pon (30 µs), Poff (15 µs), and varying input currents of 4 A, ranging from 4 to 3 A, and 3 A for CFRP thicknesses of 1.0, 1.5, and 2.0 mm, respectively.

Highly efficient Zn(O,S)/Mo(O,S)2 oxysulfide heterostructure photocatalyst for organic pollutant degradation

Environment and energy are presently some of the highest priority topics for mankind that need to be addressed. Organic pollutants are toxic and carcinogenic for human and aquatic life hence their presence in water even in low concentrations can cause serious health problems. Photodegradation of organic pollutants by utilizing oxide-based heterostructure photocatalysts is the promising approach to carry out remediation efficiently ascribed to the advanced optoelectronic and structural superiority of oxide photocatalysts. The Zn(O,S)/Mo(O,S)2 composites were synthesized via a facile solvothermal method at low temperatures. Several methods were used to characterize the composite morphology, structure, electrical conductivity, chemical composition, and optical characteristics. The heterostructured Zn(O,S)/Mo(O,S)2 oxysulfide was employed successfully in the photocatalytic degradation of organic pollutants. Among the as-prepared samples, the 30-ZnMoOS composite catalyst was found to have the highest photodegradation performance on various organic dye pollutants. The photocatalytic activity of the as-synthesized Zn(O,S)/Mo(O,S)2 samples was assessed on the photodegradation of different kinds of organic dyes under visible light irradiation. The photocatalytic degradation efficiency of 30-ZnMoOS composite over 10 ppm neutral red (NR), methylene blue (MB), rhodamine B (Rh B), and methyl orange (MO) was found to be 99.6 %, 99.9 %, 99.5 %, and 98.8 % within 40, 45, 180, and 180 min, respectively, under visible light illumination. In the present photocatalytic system, the superoxide (.O2-) anions, hydroxyl (.OH) radicals, and holes (h+) are proposed to be the direct reactive species causing the photodegradation of organic dyes.

Nanosizing strategy to fabricate uniformly dispersed NiO/Ni/lignin porous carbon composites for high lithium storage

Nickel oxide is considered a promising anode material for lithium-ion batteries. Nevertheless, its performance is hindered by significant volume expansion and low electrical conductivity, particularly at larger particle sizes, which lead to a notable decrease in lithium storage capacity and rate performance. To address these challenges, we introduce a nanocomposite strategy to synthesise nickel oxide and lignin-derived porous carbon composites (LPC/Ni/NiO). Through in situ polymerization, lignin macromolecules form a uniform 3D network with nickel carbonate, which, during the subsequent carbonisation process, results in the formation of nickel oxide within a conductive carbon network. This approach reduces the nickel oxide to nanosize and enhances the composite's electrical conductivity, effectively integrating the buffering framework of porous carbon with the high storage capacity of nickel oxide. As a result, the LPC/Ni/NiO composite exhibited significantly improved lithium storage capacity. Notably, when employed as an anode material in lithium-ion half-cells, the optimized composite maintained an excellent specific capacity of 1065 mAh/g after 100 cycles at a current density of 0.2 A/g. It also shown exceptional rate performance, delivering a specific discharge capacity of 505 mAh/g at a current density of 2 A/g, with stable cycling performance. The electrochemical reaction process was further validated using in ex-situ EIS. This study offers valuable insights into scalable synthesis methods for oxide nanocomposites, highlighting their potential as promising anode materials for lithium-ion batteries.

An innovative model for electrical conductivity of MXene polymer nanocomposites by interphase and tunneling characteristics

The endeavor to forecast the electrical conductivity in composites constituted of MXene nanosheets and polymers presents a significant challenge due to the absence of a simplistic model. The present investigation introduces a comprehensive model that anticipates the electrical conductivity of specimens filled with MXene. The proposed methodology incorporates a multitude of variables that determine the total conductivity of the specimens. These variables encompass the size parameters of MXene, the percolation onset, the volumetric fraction of MXene, the tunneling distance, the interphase thickness, and the network fraction. The reliability of this methodology is rigorously tested using experimental data derived from several specimens. Moreover, a comprehensive examination of the relationship between the estimated conductivity and the variables is carried out to verify the trustworthiness of the suggested approach. The outcomes derived from the suggested model demonstrate a significant alignment with the results from the experiments. Factors such as slender and larger nanosheets, thicker interphase, smaller tunneling distance, and higher portion of percolated nanosheets in the network can significantly enhance the conductivity of nanocomposite. The maximum electrical conductivity of 14 S/m is attained with the lowest tunneling distance of 1.4 nm and the lowest percolation onset of 0.01. Additionally, with the maximum interphase thickness of 41 nm and the highest MXene conductivity of 3 ×106 S/m, the nanocomposite achieves an optimal conductivity of 2 S/m.

Simulation of Electrical Conductivity of Porous Composite Electrodes for Solid Oxide Cells Using a Monte Carlo 3D Equivalent Electronic Circuit Networks

Solid oxide cells (SOCs) show high potential in energy conversion applications necessary for the decarbonization of the economy. Their advantage consists in ability to operate at high temperatures, reaching up to 900 °C. Firstly, it results in accelerated electrode reactions kinetics, secondly, in favorable thermodynamic conditions decreasing the equilibrium voltage of the water splitting. As a result, SOCs are attractive candidates for both efficient electrolysis and fuel cell applications, offering a robust solution in the pursuit of clean energy. However, the elevated operational temperature also introduces material challenges that hinder the competitiveness of SOCs.Porous gas diffusion electrodes are used to accomplish the desired electrode reactions. Considering conventional exclusively electron-conductive electrode materials, triple phase boundary (TPB) is required for the reactions to take place – a simultaneous contact of electron-conductive, ion-conductive and gaseous phase. While the electrode and electrolyte phases are solid, the gaseous phase is represented by open porosity in the electrode body. TPB is located exclusively at the contact area of electrode and electrolyte components in the case of single-phase electrodes, limiting the electrode electrocatalytic performance. To avoid the limitation by TPB length, composite electrodes are frequently used. Due to the involvement of the ionically conductive phase, they exhibit improved electrocatalytic capabilities.Electrolyte phase, however, usually exhibits 4 orders of magnitude lower electrical conductivity than the electron-conductive phase, while gaseous phase is electrically non-conductive. Thus, an improper phase composition and morphology of the composites can lead to a significant drop in their electrical conductivity and thus in the cell performance. Simple and reliable method for the conductivity value prediction is up to now missing. At the same time, experimental determination is both expensive and time-consuming. The goal of this study was to develop simple, fast and reliable method for prediction of electrical conductivity of the porous electron-ion conductor composites.The key feature of the presented approach lies in the minimal requirements for input parameters. Only electrode phase composition and bulk electrical conductivity of each phase are required. Based on the input composition, the model generates a 3D artificial specimen, a domain discretized into cubic voxels each assigned randomly to a specific phase. The resulting structure is substituted with an equivalent circuit network with electric elements corresponding to the electrochemical properties of the material components: specific resistivity of electrical conductors and polarization resistance / capacitance of electrochemical reaction at material interface. In-silica electrochemical impedance spectroscopy measurement is performed by solving charge balance following Kirchhoff’s current law for multiple frequency values. Resulting impedance spectrum is fitted in order to obtain Ohmic and polarization resistance and the capacitance of the artificial specimen. This procedure is averaged over a large number of artificial specimens in a Monte Carlo manner.Conventionally used oxygen electrode composite material lanthanum strontium manganite (LSM) mixed with yttria-stabilized zirconia (YSZ) was used to produce validation dataset. LSM:YSZ powder mixtures of compositions between 1:0 and 0:1, chosen to produce samples of various degree of LSM percolation, were homogenized. The mixtures were fired at 1150 °C. Electrical conductivity of the pellets was determined at temperatures between 600 and 800 °C using electrochemical impedance spectroscopy.Experimental data obtained were confronted to the model results. The model demonstrated very good accuracy for a porosity value of up to 55%. Significant error was observed in the porosity range between 55% and 68%. Finally, the model failed to generate an artificial specimen with a porosity of 75%. As it was found, the limited applicability of the model for the materials characteristic for high porosity was caused by the coalescence of the void phase. This shortcoming of the model was solved by implementing morphological parameter describing degree of void phase coalescence in the electrode structure. Due to this modification, model allows to gain valuable information on the microstructure of the studied composite material on the base of the experimentally determined conductivity data.This work introduces a novel modelling approach with minimal amount of input parameters, streamlining the prediction of electrical conductivity of porous electron-ion conductor composites. This simplified yet effective methodology holds great promise for efficiently characterizing and optimizing materials for energy conversion applications, offering a valuable tool for advancing research in the field.This publication was supported by the project "The Energy Conversion and Storage", funded as project No. CZ.02.01.01/00/22_008/0004617 by Programme Johannes Amos Commenius, call Excellent Research.

Digestate from an Agricultural Biogas Plant as a Factor Shaping Soil Properties

In the context of a circular economy, special attention should be paid to the rational management of biodegradable waste. Currently, a potentially valuable waste material, rich in ingredients available to plants, is digestate, obtained as a by-product in agricultural biogas plants. The presented study aimed to determine the impact of digestate (DIG) from an agricultural biogas plant on soil reaction (pH), electrical conductivity (EC), sorption properties (SBC, HAC, CEC, BS), and chemical composition of soil. The research was based on a pot experiment in which increasing doses of liquid (LD) and solid (SD) forms of DIG were used in corn cultivation, balanced in terms of the amount of N introduced into the soil. The composition of DIG varied and depended on the LD or SD form. The LD was characterized by a lower pH value and higher EC compared to the SD form. The LD contained much less TC, fewer macroelements, and fewer trace elements. The application of LD significantly increased in the soil the content of TC, Ntot, available K, P, Fe, and Mn, and exchangeable cations K+. The SD significantly increased the content of available P, Mg, and Mn and exchangeable cations Ca2+ and Mg2+ in the soil. Both forms of digestate increased the total content of heavy metals (Cu, Cr, Pb, and Ni) in the soil. However, they did not pose a threat to the environment concerning their legally permissible levels.

Assessment of effective electrical conductivity in spherocylindrical carbon nanotube composites incorporating intrinsic properties of CNTs and interphase layer

This study introduces an analytical model using mean-field theory to estimate the effective electrical conductivity in composites of spherocylindrical carbon nanotubes (CNTs). The model adjusts the interphase layer's thickness and conductivity based on CNT concentration, affecting the electrical tunneling effect, and incorporates the properties of both CNTs and the interphase layer. Validated through detailed comparisons with experimental data, the model accurately predicts the electrical conductivities of polymer-CNT composites (PCNTs). Mean Squared Error analysis highlights its enhanced precision and superiority over traditional cylindrical CNT models. The model also explores how CNT dimensions, intrinsic conductivity, tunneling distance, potential barrier height, and variations in interphase thickness and conductivity influence electrical conductivity and percolation thresholds. This analytical model improves accuracy in predicting PCNT electrical conductivity and provides critical insights for designing and optimizing conductive polymer nanocomposites.

Enhanced Conductive and Optical Properties of TiO2/PANI Composites Synthesized by in-situ Chemical Oxidation Polymerization Route

Abstract Polyaniline titania composites have been investigated due to their unique chemical and physical properties. This study synthesized several PANI/TiO2 composites with different mol% of PANI using in-situ oxidative polymerization methods. TiO2 was obtained by coprecipitation methods. The functional group analysis carried out using Fourier transform Infrared reflectance, it was found that PAni/TiO2 had been successfully created, which was indicated by the absence of new peaks. Based on the results of measuring absorbance in the Ultraviolet-Visible wavelength, it was found that the composite material made had a wider absorption range compared to its constituents. The electrical conductivity of composites was shown to have a higher value than TiO2. From these results, it was found that the PANI/TiO2 composite material has greater photoactivity than TiO2.

Mechanical recycling of CFRPs based on thermoplastic acrylic resin with the addition of carbon nanotubes

Carbon fibre-reinforced polymers (CFRPs) are commonly used in aviation, automotive and renewable energy markets, which are constantly growing. Increasing the production of composite parts leads to increased waste production and a future increase in end-of-life components. To improve the recyclability of CFRPs, new materials that fit in with the idea of a circular economy should be used as a composite matrix. One such material is a commercially available thermoplastic liquid resin, Elium® (Arkema, France). In this work, the authors investigated how the mechanical recycling process affects the properties of thermoplastic-based carbon fibre composites. CFRPs with neat Elium® resin and resin modified with 0.02 wt.% single-walled carbon nanotubes or 0.02 wt.% multi-walled carbon nanotubes were manufactured using the resin infusion process. Afterwards, prepared laminates were mechanically ground, and a new set of composites was manufactured by thermopressing. The microstructure, mechanical, thermal and electrical properties were investigated for both sets of composites. The results showed that mechanical grinding and thermopressing processes lead to a significant increase in the electrical conductivity of composites. Additionally, a sharp decrease in all mechanical properties was observed.

Electrostatic-driven self-assembled chitin nanocrystals (ChNCs)/MXene films for triboelectric nanogenerator

With the rapid development of smart wearable electronics, self-powered devices are urgently needed to overcome the limitations of conventional power sources. The single electrode triboelectric nanogenerator (TENG) attracts much attention owing to its simple fabrication, carrying convenience, and easy use as a power source for wearable electronic devices. Herein, a flexible, responsive, and multifunctional single electrode TENG based on renewable chitin nanocrystals (ChNCs) and MXene composite film (CM-TENG) is developed. ChNCs act as interfacial adhesives to facilitate the assembly of the MXene nanosheets, which significantly improves the composite film's mechanical properties and electrical conductivity. Positively charged ChNCs neutralize the negative charges of MXene nanosheet surfaces, enabling the composite film to rapidly transfer charges during the electrostatic induction process. The output performance of the CM-TENG can achieve 99.5 mW m−2 power density so it can be utilized for self-powered strain and tactile sensors. This work presents a new strategy for constructing stable and flexible power sources and self-powered sensors via electrostatic-driven self-assembled of ChNCs and MXene, which shows promising application in low frequency mechanical energy harvesting and self-powered wearable electronics.

The Electrical Conductivity, EMI Absorption Shielding Performance, Curing Process, and Mechanical Properties of Rubber Composites.

Three types of composites were tested for electromagnetic interference (EMI) absorption shielding effectiveness, the curing process, and their physical-mechanical properties. For the first type of composites, nickel-zinc ferrite, manganese-zinc ferrite, and both fillers in their mutual combinations were incorporated into acrylonitrile-butadiene rubber. The overall content of the filler, or fillers, was kept at 200 phr. Then, carbon black or carbon fibers were incorporated into each rubber formulation at a constant loading of-25 phr, while the content of magnetic fillers was unchanged, at -200 phr. This work focused on the understanding of correlations between the electromagnetic shielding parameters and electrical conductivity of composites in relation to their EMI absorption shielding effectiveness. The absorption shielding abilities of materials were evaluated within a frequency bandwidth from 1 MHz to 6 GHz. This study revealed good correlation among permittivity, conductivity, and EMI absorption effectiveness. Although the absorption shielding efficiency of composites filled only with ferrites seems to be the highest, the absorption maxima of those composites reached over 6 GHz. The application of carbon-based fillers resulted in the higher electrical conductivity and higher permittivity of composites, which was reflected in their lower absorption shielding performance. However, the composites filled with ferrites and carbon-based fillers absorbed electromagnetic radiation within the desired frequency range. The presence of carbon-based fillers caused improvement in the tensile behavior of composites. This study also demonstrated that the higher the ratio of nickel-zinc ferrite in combined magnetic fillers, the better the absorption shielding efficiency.

A low-cost, activated carbon-coated, stainless-steel counter electrode for dye-sensitized solar cells

A low-cost, activated carbon (AC) and sugar-coated stainless-steel counter electrode for dye-sensitized solar cells was successfully fabricated and characterized. For performance comparison, a similar electrode was fabricated using a FTO glass as the substrate. The photovoltaic performance of dye-sensitized solar cells made with these two counter electrodes were compared with solar cells made with a Pt counter electrode. The optimized, activated carbon-coated, stainless-steel-based dye-sensitized solar cells showed an energy conversion efficiency of 8.21% while similarly optimized solar cells made with activated carboncoated FTO counter electrode showed an efficiency of 7.50%. The efficiency of corresponding solar cells made with Pt counter electrode was 9.22%. The high solar cell efficiency of 89% of that of Pt based cells can be attributed to the high electro-catalytic activity and enhanced effective surface area of activated carbon/ sugar composite and good electrical conductivity of stainless steel as demonstrated by electrochemical impedance spectroscopy, cyclic voltammetry, Tafel plot analysis and SEM imaging.

Electrophysical properties of composite materials based on graphene oxide and polyaniline

The Hall method was used to study the electrical characteristics of composite materials based on polyaniline (PANI), graphene oxide (GO), and manganese. A comparison of these characteristics of GO-PANI and GO-PANI-Mn composite systems with GO and PANI monomaterials was carried out. It was demonstrated that the electrical conductivity of composites was significantly higher than that of monomaterials and was determined by the charge carrier mobility. Based on UV-visible and IR spectroscopy data, it was shown that the optical band gap (Eg) of the GO-PANI composite increased with the addition of metal, but decreased compared to PANI; the shift of characteristic vibrations to lower frequencies indicated a covalent interaction of the GO-PANI composite with manganese cations

Structure and properties of new composites composed of the all compound molecule cyclo[18]carbon and the polynitrogen molecule pentazole: A density functional theory study

In order to develop new composites composed of all carbon molecules and polynitrogen molecules, composites formed by a new all-carboatomic ring cyclo[18]carbon (C18) and a famous high energy molecule pentazole (N5H) with different proportions and sizes including N5H@C18, N5H@ 2 C18, 2 N5H@C18 and 2 N5H@ 2 C18 were designed. The intermolecular interactions, molecular and electronic structures, properties like conjugation effect and impact sensitivity, electrical conductivity and electrostatic sensitivity, recovery time, UV-Vis spectrum and IR spectrum were investigated theoretically. The results showed that N5H can be adsorbed inside the center of big C18 ring through the chemisorption. Intermolecular interactions in composites were mainly contributed by the dispersion interaction, but the electrostatic interaction also could not be neglected for 2 N5H@C18 and 2 N5H@ 2 C18 composites. The conjugation effect and ESP value in high positive region of N5H may be enhanced and decreased by C18, respectively, leading to better structural stability and lower impact sensitivity of composites than sole N5H. Due to the obviously decrease in energy GAP caused by C18, the electron transition ability and electrical conductivity of composites were greatly better than sole N5H, leading to lower electrostatic sensitivity and better safety performance markedly. Besides, the recovery time was very short, the difference in the UV-Vis and IR spectrum between sole N5H and composites was very obviously, showing the second function of C18 used as a new sensor for polynitrogen molecules like N5H.

Rescaffolding Carbon Nanotubes in Thermoset Polymers by Heat Treatments

Due to cross‐linked structures, thermoset polymers cannot provide sufficient free volume for nanofillers to maneuver. Related composites are therefore governed by phase separation where filler‐deficit regions become mechanical weakness. This work discovers that carbon nanotubes can be redispersed in thermoset polymer through heat treatments, thus, enhancing strength, thermal, and electrical conductivity of composites. Experiments carried out on a different thermoset matrix gives a similar trend where heating induced tube displacement is also verified by molecular dynamic simulations and piezo‐resistivity tests.

Effect of glyphosate contamination on surface charge change and nutrients of degraded Inceptisols ameliorated with sub-bituminous coal

The widespread use of glyphosate to eradicate weeds in agricultural areas has the potential for contamination and residues in the soil that must be carefully considered. This study aimed to elucidate the effect of glyphosate contamination on the chemical properties of an Inceptisol ameliorated with sub-bituminous coal. This study used a completely randomized design with three treatments and three replications, namely A = control (soil with no glyphosate and sub-bituminous coal), B = 5 kg soil + 100 mg glyphosate L-1, and C = 5 kg soil + 40 t sub-bituminous coal ha-1 + 100 mg glyphosate L-1. The results showed that glyphosate contamination significantly affected pH, electrical conductivity (EC), mineral and organic matter (OM) composition, cation exchange capacity (CEC), organic carbon (OC), total N, and available P of an Inceptisol ameliorated with sub-bituminous coal. The application of 40 t sub-bituminous coal ha-1 as an alternative ameliorant improved pH H2O by 0.30, EC by 0.05 dS m-1, OM by 1.03%, CEC by 18.08 cmol(+) kg-1, OC by 1.16%, total N by 0.20% and available P by 5.47 ppm of the soil compared to the control. The residual glyphosate concentration in the soil ameliorated with sub-bituminous coal was 0.04 mg kg-1 compared to the initial glyphosate concentration of 100 mg L-1. The correlation between glyphosate residue had no significant relationship with the chemical properties of an Inceptisol ameliorated with sub-bituminous coal.

Methods and tools for assessing the accuracy of composite property models

Property modeling is essential for optimal application and efficient design of new composite materials. Although numerous models of composite properties are available in the literature, there is a lack of rigorous validation of these models. This paper introduces a freely distributed collection of experimental data on the electrical and dielectric properties of composites and an open-source program package for modeling and testing composite property models. The software provides a quantitative estimation of prediction accuracy, making it a valuable tool for assessing the quality of a composite model. The paper demonstrates the use of the proposed tools to estimate two-phase models of composite electrical conductivity that account for the filler shape. The results of this test showed that the examined models failed to simulate the shape of the filler. Also, the article gives an example of the comparison of three-phase models of relative permittivity of composites with fitting parameters. In addition, the study presents the analysis of errors in the approximation of experimental data by the model, as well as recommendations on methods and selection of criteria for evaluating the quality of models.

Preparation of Short Carbon Fiber/Polydimethylsiloxane Conductive Composites Based on Continuous Spatial‐Confining Network Assembly Technique

With the development of electronic devices, conductive composites are receiving more and more attention, the demand for electrically conductive composites (ECC) is also increasing. However, the existing preparation process does not allow for the continuous preparation of electrically conductive composites. Therefore, we report a continuous spatial‐confining network assembly (CSNA) technique method to achieve an efficient and controllable preparation of electrically conductive composites. Short carbon fiber (SCF) and polydimethylsiloxane (PDMS) are used as conductive fillers and polymer matrix to prepare conductive composites, and the filler content of the prepared composites is 6 wt%. The electrical conductivity of the PDMS/SCF conductive composite is 73.72 S m−1, when flexible roll with a Shore hardness of 12.5 A and a roll pressure of 126 N is used. The effect of increasing pressure, the higher the number of rolls and the roll speed on the electrical properties of the composite, is also investigated. To sum up, the PDMS/SCF composite prepared by this preparation method is expected to achieve continuous production and application in medical, biological, thermal management, etc.

Preparation and application of electrical conductive composites with skin temperature-triggered attachable and on-demand detachable adhesion

Preparation and application of electrical conductive composites with skin temperature-triggered attachable and on-demand detachable adhesion