Thermal Conductivity Measurements Research Articles

Thermal contact resistance measurement between two intersecting PAN type carbon fibers using the T-type 3ω method

The prediction of the effective thermal conductivity of composites filled with carbon fibers requires the knowledge of the microstructure, the relative amount and thermal properties of filler and matrix materials, the orientation of non-isometric filler phases and the thermal contact resistances between fibers and matrix and also between fibers. However, information at small scale are often missing especially thermal contact resistances. The present work describes the measurement of the thermal contact resistance (TCR) between two crossed carbon fibers which is performed by an adaptation of the T-type 3ω method for thermal conductivity measurement of wires. The first carbon fiber is connected to two copper blocks supplied by a modulated electrical current providing a volumetric heating. The second fiber fixed on a U-shape holder is delicately implemented over the first one. After performing a secondary vacuum, the 3ω voltage V3ω of the first fiber is recorded as function of the frequency of the modulated current. Knowing the applied force, the contact area between the two carbon fibers is calculated from bending and deformations then a 3D numerical model describing heat transfer in two crossed carbon fibers is used to estimate the TCR at their intersection. In addition, a detailed sensitivity analysis of the unknown parameter TCR is performed allowing to find optimal operating conditions especially the frequency range. Measurements are performed with PAN type carbon fibers (FT300B) picked up from the same bundle. Different TCR estimations were performed by fitting numerical and computed V3ω voltage as function of frequency. Finally, values of TCR between crossed carbon fibers were found equal (10.4 ± 10.1) 105 kW−1 which provides an order of magnitude for such phenomenon.

A microfluidic strategy for accessing the thermal conductivity of liquids at different temperatures

Biomass-based biofuels represent a promising alternative fossil energy source, for which conversion processes - mostly performed at high pressure and temperature conditions - require thermophysical property data, particularly thermal conductivity. Conventional methods to measure thermal conductivity are often time consuming and/or need important quantities of products. Microfluidics has been proven to be a viable solution to these issues thanks to its low reagent consumption, fast screening capabilities, improvement of heat and mass transfers etc. However, microfabrication materials used in previous works, do not exhibit sufficient chemical inertness, nor thermomechanical properties to apply such methods to large ranges of fluids systems and conditions. Here, we develop new microreactors including sensors integrated into microfluidic channels with an operating principle based on the transient thermal offset approach for thermal conductivity measurement, built with materials commonly used for microreactors operated in harsh conditions. The sensor calibration is performed on water/ethanol mixtures and externally validated for two fluids: n-pentadecane and ethan-1,2-diol along with the evolution of their thermal conductivity with temperature. Finally, the microfluidic device is used to generate thermal conductivity data for 2,5-dimethylfuran, a biomass-based compound with high potential as biofuel and for which experimental data has not been reported so far.

Possible evidence of Weyl fermion enhanced thermal conductivity under magnetic fields in the antiferromagnetic topological insulator Mn(Bi1−xSbx)2Te4

We report thermal conductivity and Seebeck effect measurements on $\text{Mn}{({\text{Bi}}_{1\ensuremath{-}x}{\text{Sb}}_{x})}_{2}{\text{Te}}_{4}$ (MBST) with $x=0.26$ under applied magnetic fields below $50\phantom{\rule{0.16em}{0ex}}\mathrm{K}$. Our data shows clear indications of the electronic structure transition induced by the antiferromagnetic (AFM) to ferromagnetic (FM) transition driven by applied magnetic field as well as significant positive magnetothermal conductivity in the Weyl semimetal state of MBST. Further, by examining the dependence of magnetothermal conductivity on field orientation for MBST and comparison with the magnetothermal conductivity of ${\text{MnBi}}_{2}{\text{Te}}_{4}$, we see possible evidence of a contribution to thermal conductivity due to Weyl fermions in the FM phase of MBST. From the temperature dependence of the Seebeck coefficient under magnetic fields for MBST, we also observed features consistent with the Fermi surface evolution from a hole pocket in the paramagnetic state to a Fermi surface with coexistence of electron and hole pockets in the FM state. These findings provide further evidence for the field-driven topological phase transition from an AFM topological insulator to a FM Weyl semimetal.

Thermal Conductivity of Carbon/Boron Nitride Heteronanotube and Boron Nitride Nanotube Buckypapers: Implications for Thermal Management Composites.

To date, there has been limited reporting on the fabrication and properties of macroscopic sheet assemblies (specifically buckypapers) composed of carbon/boron nitride core-shell heteronanotubes (MWCNT@BNNT) or boron nitride nanotubes (BNNTs). Herein we report the synthesis of MWCNT@BNNTs via a facile method involving Atmospheric Pressure Chemical Vapor Deposition (APCVD) and the safe h-BN precursor ammonia borane. These MWCNT@BNNTs were used as sacrificial templates for BNNT synthesis by thermal oxidation of the core carbon. Buckypaper fabrication was facilitated by facile sonication and filtration steps. To test the thermal conductivity properties of these new buckypapers, in the interest of thermal management applications, we have developed a novel technique of advanced scanning thermal microscopy (SThM) that we call piercing SThM (pSThM). Our measurements show a 14% increase in thermal conductivity of the MWCNT@BNNT buckypaper relative to a control multiwalled carbon nanotube (MWCNT) buckypaper. Meanwhile, our BNNT buckypaper exhibited approximately half the thermal conductivity of the MWCNT control, which we attribute to the turbostratic quality of our BNNTs. To the best of our knowledge, this work achieves the first thermal conductivity measurement of a MWCNT@BNNT buckypaper and of a BNNT buckypaper composed of BNNTs not synthesized by high energy techniques.

Thermal Flow Meter with Integrated Thermal Conductivity Sensor.

This paper presents a novel gas-independent thermal flow sensor chip featuring three calorimetric flow sensors for measuring flow profile and direction within a tube, along with a single-wire flow independent thermal conductivity sensor capable of identifying the gas type through a simple DC voltage measurement. All wires have the same dimensions of 2000 μm in length, 5 μm in width, and 1.2 μm in thickness. The design theory and COMSOL simulation are discussed and compared with the measurement results. The sensor's efficacy is demonstrated with different gases, He, N2, Ar, and CO2, for thermal conductivity and thermal flow measurements. The sensor can accurately measure the thermal conductivity of various gases, including air, enabling correction of flow rate measurements based on the fluid type. The measured voltage from the thermal conductivity sensor for air corresponds to a calculated thermal conductivity of 0.02522 [W/m·K], with an error within 2.9%.

Thermal conductivity controlled by a segregated network prepared using carbon nanotube/polyamide 6 composite with glass bubbles

AbstractIn this study, a carbon nanotube‐glass bubble/polyamide 6 (CNT‐GB/PA6) multiscale hybrid composite was manufactured. Through a coagulation process including CNT and GB, a segregated network was formed to produce a composite structure with tunable thermal conductivity. Within the segregated network structure, a complex phenomenon of decrease and increase in thermal conductivity owing to the interaction by CNT and GB, and an equation to predict thermal conductivity through the contents of GB and CNT was formulated. A model to predict the thermal conductivity using the RSM analysis was presented, and the contents of GB and CNT were adjusted according to the required thermal conductivity. It was confirmed through the LFA thermal conductivity measurement that the thermal conductivity increased with GB and CNT contents. Moreover, when 30% of GB was added to the 5 wt% CNT composite, the thermal conductivity increased by about 17%. However, in the experiment to confirm the effect of GB alone, it was confirmed that the thermal conductivity decreased as the GB content increased. Thus, the size of the structural path, which was controlled by the GB content through which electrons pass, played an important role in this study. The results of this study can be used in astronautic fields that require insulation to save energy and in construction engineering where thermal insulation and heat emission are important.

A dual-domain 3 ω method for measuring the in-plane thermal conductivity of high-conductive thin films

The thermal conductivity measurement of films with submicrometer thicknesses is difficult due to their exceptionally low thermal resistance, which makes it challenging to accurately measure the temperature changes that occur as heat flows through the film. Thus, specialized and sensitive measurement techniques are required. 3ω method is a widely used and reliable tool for measuring the thermal conductivity of films. However, the high in-plane thermal conductivity in thin films results in rapid heat dissipation across the thin film, resulting in poor measurement sensitivity and making it difficult to accurately measure the temperature gradient with the traditional 3ω method. Also, the traditional 3ω method requires cross-plane thermal conductivity to derive the in-plane counterpart. Here, we introduce a dual-domain 3ω method that adopts AC-modulated heating and electrode arrays facilitating surface temperature profiling: (1) the sensitivity was significantly improved due to the employment of low-thermal-conductivity-substrate, and (2) cross-plane thermal conductivity is not required for the analysis of in-plane counterpart. This measurement platform allows us to control heat penetration in depth via varied heating frequencies as well as spatial temperature detection through laterally distributed electrodes on the thin film surface. By utilizing the described method, we have determined the in-plane thermal conductivity of a copper film, having a thickness of 300 nm, which was found to be 346 Wm−1K−1 and validated by the Wiedemann–Franz law.

Measurement of Thermal Conductivity of Epoxy Resin Reinforced With Different Weight Ratios of Glass and Carbon Powders

The effect of thermal conductivity was studied on the composites prepared before and after reinforcement with different weight fractions (10, 20, 30, 40, 50, 60 wt %), using a Disc Lee's device, and the dispersion of the filler was studied by morphological analysis of the complexes using scanning electron microscopy (SEM). The (SEM) of glass composite powders, showed a smooth surface with a chance of forming very few voids, clusters and blisters on the surface of the sample, which increased with the increase of the weight fractions of the filled powder. While the composites filled with carbon powders show smooth and free from micro-cracks with the chance of formation of some flakes on the surface, whereby, as the weight concentrations of powders rise, transform to rough surface with micro-cracks and voids which revealing that the surface was porous. The results also showed that adding these powders to the epoxy resin has an effect on the thermal conductivity of the prepared composites, implying that there is a direct relationship between the thermal conductivity as a function of the weight ratios of the reinforcing materials, as the thermal conductivity values increase with the increase in the weight ratios for all samples, but differ from one reinforcement to another, with the highest value being at a weight ratio of (60 wt %), which raised the conductivity by (34.511%±0.031) and (26.488%±0.045) for glass and carbon composites, respectively, in comparison to pure epoxy resin. The results also revealed that the thermal conductivity of epoxy glass composites is greater than that of carbon composites at all reinforcing material weight fractions.

Measurement of Thermal Conductivity of Epoxy Resin Reinforced With Different Weight Ratios of Glass and Carbon Powders

Measurement of Thermal Conductivity of Epoxy Resin Reinforced With Different Weight Ratios of Glass and Carbon Powders

Thermal conductance and noise of Majorana modes along interfaced ν=52 fractional quantum Hall states

We study transport along interfaced edge segments of fractional quantum Hall states hosting non-Abelian Majorana modes. With an incoherent model approach, we compute, for edge segments based on Pfaffian, anti-Pfaffian, and particle-hole-Pfaffian topological orders, thermal conductances, voltage biased noise, and delta-$T$ noise. We determine how the thermal equilibration of edge modes impacts these observables and identify the temperature scalings of transitions between regimes of differently quantized thermal conductances. In combination with recent experimental data, we use our results to estimate thermal and charge equilibration lengths in real devices. We also propose an experimental setup which permits measuring several transport observables for interfaced fractional quantum Hall edges in a single device. It can, e.g., be used to rule out edge reconstruction effects. In this context, we further point out some subtleties in two-terminal thermal conductance measurements and how to remedy them. Our findings are consistent with recent experimental results pointing towards a particle-hole-Pfaffian topological order at filling $\nu=5/2$ in GaAs/AlGaAs, and provide further means to pin-point the edge structure at this filling and possibly also other exotic fractional quantum Hall states.

Picosecond magneto-optic thermometry measurements of nanoscale thermal transport in AlN thin films

The thermal conductivity Λ of wide bandgap semiconductor thin films, such as AlN, affects the performance of high-frequency devices, power devices, and optoelectronics. However, accurate measurements of Λ in thin films with sub-micrometer thicknesses and Λ > 100 W m−1 K−1 is challenging. Widely used pump/probe metrologies, such as time–domain thermoreflectance (TDTR) and frequency–domain thermoreflectance, lack the spatiotemporal resolution necessary to accurately quantify thermal properties of sub-micrometer thin films with high Λ. In this work, we use a combination of magneto-optic thermometry and TiN interfacial layers to significantly enhance the spatiotemporal resolution of pump/probe thermal transport measurements. We use our approach to measure Λ of 100, 400, and 1000 nm AlN thin films. We coat AlN thin films with a ferromagnetic thin-film transducer with the geometry of (1 nm-Pt/0.4 nm-Co)x3/(2 nm-TiN). This PtCo/TiN transducer has a fast thermal response time of <50 ps, which allows us to differentiate between the thermal response of the transducer, AlN thin film, and substrate. For the 100, 400, and 1000 nm thick AlN films, we determine Λ to be 200 ± 80, 165 ± 35, and 300 ± 70 W m−1 K−1, respectively. We conclude with an uncertainty analysis that quantifies the errors associated with pump/probe measurements of thermal conductivity, as a function of transducer type, thin-film thermal conductivity, and thin-film thickness. Time resolved magneto-optic Kerr effect experiments can measure films that are three to five times thinner than is possible with standard pump/probe metrologies, such as TDTR. This advance in metrology will enable better characterization of nanoscale heat transfer in high thermal conductivity material systems like wide bandgap semiconductor heterostructures and devices.

Ultrasonic Velocity, Viscosity and Thermal Conductivity Studies on Barium Oxide: Silicone Oil Nanofluids

In this study, we focused on the preparation and characterization of Barium oxide (BaO): Silicone oil nanofluids with the assistance of ultrasonication. The purpose was to investigate the potential impact of these nanofluids on solar radiation absorption. To achieve this, six different concentrations (ranging from 0.01 g to 0.06 g) of BaO: Silicone oil nanofluids were prepared. The nanofluids were subjected to various characterization techniques to evaluate their properties. Ultrasonic velocity measurements were conducted to assess the dispersion quality and stability of the nanofluids. Fourier transform infrared (FTIR) spectroscopy was utilized to examine any potential interactions between the nanoparticles and the fluid medium. Ultraviolet-Visible (UV-Visible) spectroscopy was employed to investigate the optical properties of the nanofluids, particularly their ability to absorb solar radiation. Additionally, electron microscopy analysis provided insights into the morphology and size distribution of the BaO nanoparticles. The results obtained from the UV-Visible analysis provided valuable information regarding the solar radiation absorption efficiency of the BaO: Silicone oil nanofluid systems. These findings contribute to our understanding of the potential application of these nanofluids in solar energy harvesting. Furthermore, the ultrasonic studies and FTIR analysis confirmed that there were no significant particle-fluid interactions, indicating the stability of the nanofluids. Thermal conductivity measurements were carried out to determine the heat transfer efficiency of the BaO: Silicone oil nanofluid system at different concentrations. The results revealed an optimal concentration that exhibited the highest heat transfer efficiency, suggesting the potential of these nanofluids for enhancing heat transfer processes. In conclusion, this study successfully prepared and characterized BaO: Silicone oil nanofluids. The analysis of their optical properties, stability, and thermal conductivity provides valuable insights into their potential application in solar radiation absorption and heat transfer systems. Further research can explore the practical implementation of these nanofluids in solar energy conversion and thermal management technologies.

Physical properties of the full Heusler-type Ru2-Fe NbAl (x = 0.00–0.50) alloys

We report the physical properties of a series of full Heusler-type Ru2-xFexNbAl (x = 0.00–0.50) alloys using magnetization, electrical resistivity (ρ), Seebeck coefficient (S), and thermal conductivity (κ) measurements. Structure and phase analysis via x-ray diffraction and scanning electron microscopy indicate that Fe replaces the Ru in Ru2NbAl, and the antisite disorders reduce. The dc magnetization shows predominantly paramagnetic behavior for all Fe-doped samples, as in the pristine Ru2NbAl sample. Interestingly, the electrical resistivity measurements reveal that the conduction behavior of Ru2NbAl alloy changes from semiconducting-like to metal-like with Fe substitution. In addition, a minimum in resistivity at low temperatures is observed in the Fe-doped samples. It is noted that the minimum shifts to low temperatures with Fe content, presumably due to the weak localization effect. The Seebeck coefficient measurements show that charge carriers of these alloys remain hole type with a maximum S value of ∼27 µV/K at 300 K for x = 0.13, a result of the modification of the electronic band structure. The Fe substitution is found to reduce thermal conductivity significantly. An analysis of the lattice thermal conductivity indicates that the reduction in κ is primarily due to more grain boundaries, Umklapp phonons, and electron scatterings. These observations lead to an increase in the thermoelectric performance, i.e., the figure of merit and power factor, to about 0.007 and 1.7 μW/cm K2 at 300 K for the optimized composition of Fe with x = 0.13.

Geopolymer fly ash composites modified with cotton fibre

The work’s primary goal is to assess the influence of the cotton fibres addition and their proportion on the strength properties and thermal conductivity of foamed geopolymer composites based on fly ash.Fly ash from a thermal power plant was used as the foundation material to create the geopolymer composites in this study. Volcanic silica was used as an additional source of silicon. As an additive, the recycled cotton flock was used in amounts of 0.5%, 1% and 2% by weight of dry ingredients. The density, compressive, and three-point bending strength of the created geopolymers were measured. Moreover, the thermal conductivity measurements for three temperature ranges: 0–20C, 20–40C, and 30–50C for all investigated geopolymers were conducted. The structure of tested materials was observed using a scanning electron microscope (SEM).It was demonstrated within the context of the study that the addition of cotton fibres to foamed fly ash-based geopolymers aids in slightly reducing their density. Cotton fibres can be used to boost the strength of the examined geopolymers; for samples with 1% cotton fibres added, compressive strength rose by around 22% and flexural strength by about 67%. Additionally, it is feasible to lower their thermal conductivity coefficient by incorporating cotton fibres into foamed fly ash-based geopolymers.The results obtained highlight the potential of fly ash-based geopolymer composites with the addition of cotton flocks for application as insulating materials in the building industry.The novelty of this work is the demonstration of the possibility of producing foamed geopolymers based on fly ash with the addition of recycled cotton fibres, with properties that make them suitable for use as building insulation materials.

Ensemble learning-based investigation of thermal conductivity of Bi2Te2.7Se0.3-based thermoelectric clean energy materials

Bi2Te3-based materials are remarkable semiconducting compounds widely employed for clean energy harvesting via thermoelectric effects. Their energy conversion efficiency is assessed based on their thermoelectric figure of merit which depends on the electrical and thermal properties. The measurement of electrical conductivity is often straightforward; however, the thermal conductivity (κ) measurement is incredibly arduous and requires sophisticated experimental devices. Herein, we propose a pioneering machine-learning technique that estimates the value of κ for such materials based on their electrical properties and structural lattice constants (a and c). Decision tree regression (DTR) and Support vector regression (SVR) algorithms were employed to build the thermal conductivity estimators. Afterward, the concept of adaptive boosting was applied to the conventional regressors to improve their prediction accuracy. The performance of the developed models was evaluated based on the R2-value, coefficient of correlation (CC) between the actual and experimental values of κ, mean absolute error, and mean square error. The results obtained based on these metrics indicate that the boosted decision tree outperforms the rest of the models with a CC of 99.4% and an R2-value of 98.8% in the testing phase. The models were also utilized to make predictions in actual physical situations, such as forecasting the thermal conductivities of compounds doped with transition metals or non-metals, and examining how the values of κ are affected by substrate temperature during pulsed laser deposition. The remarkable performance of the models in predicting the thermal conductivity of different configurations of the material with high accuracy underscores its importance to researchers and industry for renewable energy applications.

An innovative PDMS cell to improve the thermal conductivity measurements of nanofluids

The traditional methods to measure the thermal conductivity of nanofluids (NFs) do not allow the investigation of critical features that affect the NF's heat transfer performance. For instance, during the thermal conductivity measurements, the NF's thermal properties may be subject to several critical features such as sedimentation, aggregation and wall adhesion of NPs. In addition, the measurement cell has severe functional limitations in terms of full cleaning and performing direct visualizations due mainly to design, geometrical and material constraints. These are frequent problems encountered at the transient hot-wire and transient plane source (TPS) methods, two popular techniques often used to measure NF's thermal conductivity. In this way, polydimethylsiloxane (PDMS), due to its unique properties, such as thermal stability and excellent optical transparency, was applied to fabricate an innovative and simple cell that offers a more straightforward and efficient way to clean the NPs deposited on the walls and as a result to avoid any possible sample contaminations.

Thermal properties of AlN (nano) filled LDPE composites

Abstract The thermal properties of aluminium nitride nano-particles (n-AlN) filled into low-density polyethylene (LDPE) are discussed. Cylindrical specimens were prepared using a melt mixing process. X-ray diffraction was performed to characterize the structural properties of the pellets under investigation. The X-ray diffraction analysis confirms the change in secondary structure, such as crystallinity, of the LDPE due to the dispersion of n-AlN powder. The thermal stability of pure and n-AlN filled LDPE was checked by performing thermo-gravimetric analysis. The analysis confirms an improvement in the thermal stability of LDPE due to n-AlN addition. The thermal conductivity of the samples was measured using a KD2 Pro device (based on the transient hot wire technique of thermal conductivity measurement) at room temperature. Our finding reveals ∼1.36 fold enhancement in the effective thermal conductivity of LDPE due to the addition of 15 vol.% of n-AlN. The room-temperature thermal conductivity data of the investigated pellets were analyzed as a function of n-AlN concentration in the light of available theoretical models and correlations. The variation in thermal conductivity data of LDPE with n-AlN concentration is well explained by the semi-empirical model proposed by Agari and Uno.

Thermal conductivity measurement of thermoelectric films using transient Photo-Electro-Thermal technique

Accurate and rapid measurement of thermal conductivity of thin films has been a challenge so far in the field of thermoelectric (TE) materials and devices. Herein, we proposed to use a transient photo-electro-thermal (TPET) technique to measure the thermal conductivity of TE thin-films with convenience. Combining theoretical and experimental methods, we found that the TPET technique using laser beam heating can significantly reduce the influence of Peltier effect and thus achieve high test accuracy. The measurement uncertainty of TPET technique for TE films can be depressed below 10%. Furthermore, this method is not only applicable for free-standing thin film, but also for thin film deposited on as-known substrates. Finally, thermal conductivity of several films including p-type Bi0.5Sb1.5Te3, n-type Ag2Se, and n-type Bi2Te3 deposited on PI film at different temperature are accurately measured, which demonstrates the wide applicability of TPET technique on semiconductor films.

In Situ Measurement of Wall Thermal Properties: Parametric Investigation of the Heat Flow Meter Methods through Virtual Experiments Data

Energy retrofit of existing buildings is based on the assessment of the starting performance of the envelope. The procedure for the in situ measurement of thermal conductance is described in the ISO 9869-1:2014, which provides two techniques for data processing: the average method (AM) and the dynamic method (DM). This work studies their effectiveness using virtual data from numerical simulations based on a finite difference model applied to different wall kinds, considering winter and summer boundary conditions alternatively (Italian Milan-Linate TMY). The estimated thermal conductances are compared to the reference theoretical values. The main purposes are: (i) defining the shortest test duration that provides acceptable results; (ii) assess the reliability of the criteria provided by the standard to evaluate the measurement quality; (iii) evaluate the sensitivity of both methods to variables such as wall properties, boundary conditions and others more specific to the DM (namely, the number of time constants and linear equations). The AM always provides acceptable estimates in winter (−3.1% ÷ 10% error), with better outcomes when indoor heat flux is considered, except for the highly insulated wall, but is not effective in summer, despite the fulfillment of the acceptance criteria for the highly insulated wall. The DM provides improvements in both seasons (0.05% ÷ 8.6% absolute values of error), for most virtual samples, and requires shorter sampling periods, even below the 3 days limit suggested by the standard. The test on the confidence interval indicated by the ISO 9869-1:2014 is not reliable and measurements are sensitive to the number of linear equations, that is left to the user’s discretion without strict indications. This work suggests a possible approach for overcoming this issue, which requires deeper future investigation.

Accurate measurement of thermal conductivity of micro-quantity liquids by dielectric transient current method

The thermal conductivity of liquids is of a great significant parameter for engineering applications that require the use of liquids to enhance heat transfer. Although a number of experimental methods for measuring thermal conductivity of liquids have been reported, many of these methods have limitations in principle or accuracy for small amounts of liquids, particularly for some nanofluids with low thermal conductivity or high electrical conductivity. This paper presents a novel method for measuring thermal conductivity of micro-quantity liquid based on the modified thermal pulse method. The main principle of the measurement is based on fitting the changing characteristics of the thermal response current of a thin dielectric film thermally coupled to the tested liquid. The paper analyses the factors affecting the measurement range and accuracy of the technique through numerical simulations and experiments. The feasibilities and uncertainties of the proposed technique are discussed in relation to six typical samples including pure water, insulating oil and conductive nanofluids. The experimental results show that the method for testing the thermal conductivity of liquids has the advantages of low measuring time down to 10 ms, low fluid usage down to 60 nL, wide measurement range from 0.01 to 10 W/(m·K), good sample compatibility and high accuracy. It should be noted that the method is highly dependent on the thermal conductivity and thickness of the dielectric film, which limits the measurement range of the method.