52 results about "Thermal diffusion coefficient" patented technology

The invention relates to the technical field of blister thermoforming, and discloses a high-precision controllable thermoforming method of a blister machine, which comprises the following steps: extracting a feature recognition material type, and calculating to obtain a thermal diffusion coefficient; a temperature field is collected in real time, temperature distribution at the next moment is predicted, a fuzzy rule base is established to dynamically adjust PID parameters, a falling risk coefficient is calculated based on the actually measured temperature, and whether airflow compensation is started or not is judged; a mold cavity structure is constructed, and a vacuum degree curve is set in stages; material flow monitoring is conducted on the material, and the vacuum degree is corrected through fuzzy control; analyzing to obtain a coordinate deviation, and executing dynamic compensation; performing real-time correction according to the coordinate deviation, establishing an inter-station coupling coefficient matrix through multi-station cooperative control, and performing temperature compensation; and constructing a multi-dimensional quality evaluation model, performing analysis to obtain a comprehensive quality index, judging whether to trigger a key parameter optimization process or not based on the comprehensive quality index, and performing real-time feedback optimization.

The invention discloses a processing defect detection method and system based on a semiconductor integrated circuit, and belongs to the technical field of semiconductor manufacturing data processing and defect detection, and the method comprises the steps: obtaining a high-resolution surface topography scanning matrix, an interlayer stress distribution matrix and a transient electrical response matrix of a specified process layer of a target wafer, and constructing an original feature tensor after correction; generating a multi-dimensional coupling feature matrix, and constructing a spatial adjacency topology network and a cross-layer coupling energy propagation graph model; performing energy iteration deduction on the basis of introducing a current density direction vector and a thermal diffusion coefficient parameter to obtain a potential energy gathering path; a microdefect risk coupling coefficient distribution diagram is generated through time sequence folding mapping and nonlinear coupling calculation, hidden defect characterization parameters are extracted through multi-scale feature compression and abnormal clustering analysis, and defect space positioning and process compensation parameter adjustment suggestion output are achieved; according to the invention, the subcritical microscale latent defect can be identified, and the detection sensitivity and reliability are improved.

The invention discloses an active infrared thermal imaging thermal diffusion parameter inversion method and system based on a physical information neural network, and belongs to the technical field of infrared thermal imaging nondestructive testing and thermophysical parameter identification. In order to solve the problems that an active infrared thermal imaging method is difficult to steadily invert spatial distribution thermal diffusion parameters under the condition of only single-side surface temperature measurement and is sensitive to measurement noise, the method comprises the following steps: collecting surface space-time temperature field data of a tested piece under thermal excitation, and calculating a relative temperature field; normalizing the space-time coordinates, and constructing a multi-output physical information neural network; the equivalent surface heat conduction equation and the boundary and initial conditions thereof serve as a loss function of a physical constraint embedded neural network, and a Huber loss function is adopted to calculate a data fitting item; a neural network is optimized through joint training, a global volume thermal diffusion coefficient, a global equivalent thermal loss coefficient, a relative thermal diffusion coefficient field and a relative thermal loss coefficient field of spatial distribution are synchronously inverted, and a high signal-to-noise ratio temperature field is reconstructed. The method is used for material surface nondestructive testing.

The invention provides a liquid heat conductivity coefficient measurement method without absolute thickness information, and belongs to the field of liquid heat conductivity coefficient measurement. The problem that the universality and the accuracy are seriously restricted due to the fact that an unsteady state method must depend on the absolute thickness of a sample to be detected is solved. The method comprises the following steps: placing a to-be-detected liquid sample in a crucible, and adjusting an optical system to enable an infrared detector to be aligned with a to-be-detected area; changing the thickness of the liquid sample through an electric displacement table to obtain a plurality of thickness values; corresponding to each thickness, using a pulse laser to heat the sample, detecting a signal of the overheat residual temperature of the upper surface of the crucible along with time change, and obtaining a normalized temperature rise curve; repeatedly measuring under a plurality of different liquid thicknesses, and recording the half-peak time of the normalized heating curve corresponding to each thickness value; and calculating the thermal diffusion coefficient of the to-be-measured liquid according to the proportional relation between the half-peak time and the thickness square of the liquid, thereby determining the heat conductivity coefficient of the liquid. The method is used in practical industrial environments such as thermoelectricity and lithium ion batteries.

The invention discloses a transient thermal field inversion method and system based on deep learning, and the method comprises the steps: firstly obtaining thermal field evolution data and space grid coordinates of a measured object in a cooling process, and then designing a thermal field evolution network model composed of two sub-networks, the second sub-network outputs a deduced evolution thermal field, and deduces real material parameters of an object based on a finite difference deep learning model through joint optimization and fusion of internal and boundary thermal evolution equations as physical constraints so as to improve precision and robustness; on the basis, a time-containing inversion operator model is constructed, discrete cosine transform is utilized to map a thermal diffusion coefficient, a time step size and a final-state temperature field evolution sequence to a frequency domain, and accurate reasoning of an initial temperature field is realized through iterative optimization of an operator learning framework. The method has a good application prospect in material science and engineering detection, and can effectively assist in analysis and prediction of a complex heat conduction process.

The invention relates to the field of metal heat treatment and automatic control, and discloses a steel wire annealing quality on-line monitoring and closed-loop control method which comprises the following steps: applying pseudo-random binary sequence thermal excitation to an operating steel wire, collecting temperature response, identifying a channelized thermal response function, and determining the annealing quality of the operating steel wire according to the channelized thermal response function; the effective thermal diffusion coefficient representing the microstructure is obtained through inversion and serves as an agent parameter, the agent parameter is input into a Gaussian process regression model, a predicted mechanical property index and predicted uncertainty are obtained, during control, the deviation between the predicted index and a target value serves as a feedback signal, and the gain of a feedback controller is dynamically adjusted according to the predicted uncertainty; and meanwhile, the agent parameter change rate serves as a feedforward signal, and annealing process parameters are adjusted in combination with feedback and feedforward control quantities. According to the method, self-adaptive adjustment of the control system is realized by utilizing the prediction uncertainty, online and high-robustness closed-loop control can be carried out on the mechanical properties of the steel wire in combination with feed-forward compensation, and the consistency of product quality is improved.

The invention provides a measuring method. The method comprises the following steps: doping boron ions into a part, exposed by a first opening, of a first semiconductor layer through the first opening of a first barrier layer; removing the first barrier layer and a part, which is not doped with boron ions, in the first semiconductor layer below the first barrier layer; measuring a first length of a remaining portion of the first semiconductor layer in a predetermined direction; boron ions are doped into the part, exposed by the second opening, of the second semiconductor layer through the second opening of the second barrier layer; removing the second barrier layer, and performing heat treatment on the second semiconductor layer; after the heat treatment is carried out, the part, not doped with the boron ions, in the second semiconductor layer is removed; measuring a second length of the remaining portion of the second semiconductor layer in the predetermined direction; and calculating the thermal diffusion coefficient of the boron ions along the predetermined direction according to the first length, the second length and the heating time of the heat treatment.

The application relates to a cooking utensil state detection method, an intelligent range hood and a computer device, wherein the method comprises the following steps: performing infrared thermal imaging on a target region above a heated cooking utensil to obtain a real-time temperature matrix corresponding to the target region; the real-time temperature matrix comprises a plurality of temperature values, and each temperature value corresponds to a corresponding position in the target region; gradient analysis is performed on each temperature value in the real-time temperature matrix to obtain a corresponding gradient amplitude matrix; the gradient amplitude matrix comprises a temperature gradient amplitude corresponding to each temperature value; based on each temperature value in the real-time temperature matrix and the gradient amplitude matrix, a heat diffusion coefficient of the cooking utensil is determined; and based on the heat diffusion coefficient, the current state of the cooking utensil is identified. Through the application, the problem that the actual state of the cooking utensil cannot be accurately detected is solved, and the state of the cooking utensil is accurately detected, so that the user can timely avoid the safety and health risks caused by the change of the state of the cooking utensil.

The invention relates to an overmolding method for manufacturing an overmolded part (2) forming a decoration to be added to a part (1) or the part itself, said overmolded part (2) being made of an at least partially amorphous metal alloy (8), the method comprising the following steps: providing a blank (3) for use as an injection tool, a blank (3) having at least one through-hole (4) forming a channel (5) for injecting the metal alloy (8), the blank (3) being made of a first material having a thermal diffusion coefficient of less than or equal to 7000 W K-1 m-2 s 1 / 2, or being at least partially plated with a layer made of the first material; positioning the blank (3) in an injection mould (6); injecting the metal alloy (8) through the through-hole (4) opening into the cavity in order to obtain the overmolded part (2); the overmolded part (2) is separated from the blank (3) in order to form the trim or the part itself to be added.

The application discloses a kind of loose coal body thermal property coefficient measurement method and system of exothermic oxidation stage, this measurement method experiment constructs temperature field, determines the loose coal body exothermic heat source term of coal body under high temperature oxidation (70 DEG C above) condition, when the boundary condition of measurement and calculation model function is consistent, the temperature rise curve of measuring point;Then construct thermal property parameter calculation model function and golden section search calculation model, measure the thermal diffusivity of loose coal body.The measurement method and system of the application are high in degree of automation, and the measurement result is reliable and stable, easy to operate;It comprehensively uses finite difference equation and golden section search algorithm, and introduces heat source term, eliminates the influence of self-heating of coal body in oxidation environment on thermal diffusivity test, improves the measurement accuracy and efficiency;Convenient for engineering application, the algorithm is packaged by program, and the calculation result can be obtained by inputting corresponding parameters.

The invention provides a parameter determination method and device for a heat storage type superheater and a computer readable storage medium. The method comprises the following steps: determining the heat demand of heating steam from a saturated state to a target superheat temperature; according to the heat transfer coefficient of the heat transfer pipe, the outer surface heat exchange area of the heat transfer pipe, the first temperature difference of the steam inlet end of the heat transfer pipe and the second temperature difference of the steam outlet end of the heat transfer pipe, the heat exchange amount transferred to steam by the heat transfer pipe is determined; wherein the first temperature difference is used for representing the temperature difference between the steam inlet end heat storage body and the steam, and the second temperature difference is used for representing the temperature difference between the steam outlet end heat storage body and the steam; the heat release amount of the heat storage body is determined according to the heat release density of the heat storage body, the heat exchange area of the outer surface of the heat transfer pipe and the characteristic length and the heat diffusion coefficient of the heat storage body; and under the condition that it is determined that the heat release amount, the heat exchange amount and the heat demand amount meet the preset heat balance condition, the current parameter value of the heat storage type superheater is determined as the optimal parameter value.

The application discloses a copper-embedded multilayer board defect detection method and system based on eddy current thermal imaging and impedance spectrum fusion, relates to the technical field of multilayer board defect detection, and comprises the following steps: applying a high-frequency alternating pulse magnetic field to a copper-embedded multilayer board to be detected; continuously collecting thermal field cooling sequence images after pulse excitation, then extracting thermal diffusion coefficients of copper-embedded regions a and thermal field isotheral line distribution characteristics; using test probes of an automatic machine to contact copper-embedded blocks and corresponding network test points on the copper-embedded multilayer board to be detected, injecting a wideband sweep signal, obtaining impedance spectrum and extracting characteristic parameters; and a , thermal field isotheral line asymmetry, Z LF , R HF and Δ θ are constructed into a multi-dimensional feature vector, input into a fusion judgment model, and a judgment result of the copper-embedded multilayer board defect is output according to a preset multiple threshold. The application realizes non-destructive defect detection, and the micro-crack detection rate is about 97%, and the copper-embedded offset and interlayer short-circuit detection rate is 100%.

The invention discloses a Leidenfrost effect three-dimensional numerical simulation method based on a double-distribution function lattice Boltzmann method coupled with a finite difference method. The method comprises the following steps: 1, constructing a three-dimensional computational domain and defining lattice point types; 2, initializing a lattice point type, a fluid domain density field, a velocity field, a temperature field and a distribution function; 3, calculating fluid domain density, pressure and thermal diffusion coefficient according to the distribution function; 4, calculating resultant force of molecular interaction force and volume force among different phase states based on a pseudo-potential model; 5, calculating a fluid domain collision process; 6, calculating a migration process; 7, treating wall surface boundary conditions; 8, updating the fluid domain temperature field by using the temperature distribution function, and updating the solid domain temperature field by using a finite difference method; and 9, carrying out loop iteration on the steps 3-8 until the preset simulation time is reached. According to the invention, the whole process of the Leidenfrost phenomenon generated when the liquid drops impact the high-temperature wall surface can be stably and accurately simulated, and an accurate and reliable numerical simulation tool is provided for the design of efficient heat dissipation schemes such as spray cooling and the like.

Disclosed is a method for determining the operational conditions of a method for high-repetition rate femtosecond laser ablation including a first step of determining a set of parameters of a burst of laser pulses adapted to generate an ablation crater in the material, the set of parameters including an intra-burst repetition frequency f between several hundred MHz and 100 GHz, a number N of pulses of the burst of laser pulses equal to a number Nc of heating and ablation pulses, with Nc being defined by the equation Nc=(L2·f) / D, where L represents a test depth and D represents a thermal diffusion coefficient of the material to be ablated, with Nc being greater than or equal to 10, a characteristic total fluence FTchar of the burst of pulses and a characteristic fluence per pulse Fchar=FTchar / Nc below an ablation threshold fluence Fs1 of the material by a single laser pulse.

The patent discloses a thick pulp method reconstituted tobacco with slow-release crosslinking system, which is characterized in that the slow-release crosslinking system comprises a functional crosslinking agent, a gelling agent and a crosslinking regulator; the crosslinking regulator is hydrolyzed in an aqueous phase to continuously release ions in the functional crosslinking agent, the ions are coordinated with the gelling agent to form an egg-box-shaped three-dimensional crosslinking network, so that the tensile strength of the thick pulp method reconstituted tobacco is greater than 0.7 kN / m, and the thermal diffusivity is greater than 0.15 mm 2 / s. The patent achieves the purpose of simultaneously enhancing the matrix strength and optimizing the thermal conductivity performance.

The present application discloses a metal matrix composite and a preparation method therefor, a fin, a heat exchanger, and an application. The metal matrix composite comprises a metal matrix (100) and a functional coating (200); the functional coating (200) is provided on at least one surface of the metal matrix (100); the functional coating (200) at least comprises an corrosion-resistant layer (210); the corrosion-resistant layer (210) comprises an organic coating containing graphene and / or a derivative thereof; the thickness of the corrosion-resistant layer (210) in a cured state is 0.8-1.5 microns; the flake size of the graphene and / or the derivative thereof is 1-8 microns, and the content of the graphene and / or the derivative thereof in the corrosion-resistant layer (210) in the cured state is 0.5-4.5 wt%; and the thermal diffusivity of the composite in the vertical direction is greater than or equal to 28 mm2 / s.

The application discloses a method for analyzing heat storage of a river-flooded lake based on dynamic parameterization, and relates to the technical field of water resources engineering. The method comprises the following steps: based on water level time series data and underwater topographic parameters of the lake, analyzing time-varying water area and average water depth; based on water quantity, water temperature data, precipitation, evaporation data and water level change rate of inflow and outflow, calculating horizontal heat advection term; based on wind speed data and average water depth, calculating dynamic vertical heat diffusion coefficient; based on average water depth and dynamic vertical heat diffusion coefficient, calculating effective memory time; based on dynamic vertical heat diffusion coefficient, effective memory time and water body extinction coefficient, calculating vertical heat conduction flux; based on average water depth, water body extinction coefficient, net shortwave radiation on water surface and sediment thermal physical property parameters, calculating lake bottom heat exchange term; and synthesizing the net shortwave radiation on water surface, the vertical heat conduction flux, the horizontal heat advection term and the lake bottom heat exchange term to obtain heat storage change rate.

The invention discloses a gradient heat conduction wood fiber composite wallboard and a preparation method thereof, and belongs to the technical field of composite wallboard preparation.According to the gradient heat conduction wood fiber composite wallboard and the preparation method thereof, wood fibers and reinforced fibers are smashed and mixed and then poured into an adhesive, the wood fibers and the reinforced fibers are bonded through the adhesive, and the gradient heat conduction wood fiber composite wallboard is obtained; the preparation method comprises the following steps: mixing and adhering wood fibers and reinforced fibers, pouring the mixed and adhered wood fibers and reinforced fibers into a mold, pressurizing and drying to prepare a base material layer of the gradient heat-conducting wood fiber composite wallboard, so that the base material layer has better crack resistance and mechanical strength, and mixing a paraffin-based phase change material and expanded graphite according to a certain proportion to prepare the gradient heat-conducting wood fiber composite wallboard. The paraffin-based phase-change material fully utilizes the embedded space structure of the expanded graphite with large and small particle sizes, so that the thermal diffusion coefficient after the paraffin-based phase-change material and the expanded graphite are mixed is improved, the heat conduction enhancement layer has the best performance in the aspects of heat transfer efficiency, heat stability, heat storage efficiency and the like, and the heat conduction efficiency of the wallboard is improved.

The invention relates to the technical field of data processing, and discloses a soil thermal diffusion and moisture content collaborative inversion method based on distributed optical fiber temperature sensing, which comprises the following steps: S1, acquiring multi-layer soil temperature gradient data acquired by a distributed optical fiber temperature measurement system; s2, based on the multi-layer soil temperature gradient data, establishing a semi-empirical relation model between the soil temperature and the soil thermal diffusion coefficient; and S3, on the basis of a heat conduction mechanism, constructing a function relationship between the soil thermal diffusion coefficient and the soil volume moisture content. A distributed optical fiber temperature measurement system is used for obtaining multi-layer ground temperature data with sub-meter resolution, and the observation scale of the distributed optical fiber temperature measurement system effectively makes up the blank between a point sensor and a remote sensing technology. Finally, soil volume moisture content distribution information with high spatial resolution, spatial continuity and multiple depths is successfully obtained, and the core problem of scale mismatching in the prior art is fundamentally solved.

The present application relates to the technical field of slope monitoring, and more particularly to a method and system for monitoring drainage leakage of an engineering slope, which comprises: performing spatial heterogeneous thermal intrinsic distribution difference stripping to obtain static steady-state temperature background data and a real-time spatial temperature intrinsic distribution set, and performing cross difference on the spatial gradients of the two to calculate a residual set of stripped spatial geological artifacts; performing thermal hysteresis phase dynamic alignment compensation, calculating a depth-dependent thermal hysteresis compensation factor based on the thermal diffusion coefficient distribution of the soil and the surface temperature fluctuation frequency, and reconstructing a spatiotemporally isomorphic reference temperature sequence; performing phase change latent heat targeted extraction, comparing the real-time data with the reference sequence to obtain dynamic residual characteristic quantities, calculating second-order partial derivative extreme values, and applying double joint constraint conditions to extract a leakage targeting point, and completing leakage monitoring. The present application can effectively eliminate geological thermal conduction baseline drift and thermal hysteresis effect, and realize accurate monitoring of leakage points.

The invention belongs to the technical field of material thermal performance testing, and discloses a method for testing a thermal diffusion coefficient of a polymer film material based on a laser flash method. According to the method, a one-step spraying method is adopted, graphite is sprayed in combination with direct-current sputtering, a very thin graphite coating with the nanoscale thickness is directly sprayed on the surface of the polymer film material, nano-graphite particles are high in adhesive force and can be tightly attached to the surface of the polymer film material with the oleophobic surface, and the graphite coating is more uniform; moreover, the graphite layer is easy to oxidize and fall off at high temperature, so that the test signal is influenced, and the nano graphite particles have high-temperature stability, so that the high-temperature test signal can be maintained, and the accuracy of the test result is improved. Meanwhile, the sample treatment method disclosed by the invention is simple and easy to operate, short in sample preparation time, low in cost and high in accuracy, and is particularly suitable for characterizing the thermal diffusion coefficient of a high-molecular polymer film material with relatively poor surface adhesion by using a laser flash method and testing the high-temperature thermal diffusion coefficient of the material.

The invention discloses a dynamic parameterization-based thermal reserve analysis method for a flood lake through river, and relates to the technical field of water resource engineering, and the method comprises the steps: analyzing a time-varying water area and an average water depth based on water level time sequence data and underwater topographic parameters of the lake; calculating a horizontal thermal advection item based on the inflow and outflow water quantity, the water temperature data, the rainfall and evaporation data and the water level change rate; calculating a dynamic vertical thermal diffusion coefficient based on the wind speed data and the average water depth; calculating effective memory time based on the average water depth and the dynamic vertical thermal diffusion coefficient; calculating vertical heat conduction flux based on the dynamic vertical heat diffusion coefficient, the effective memory time and the water extinction coefficient; calculating a lakebed heat exchange item based on the average water depth, the water extinction coefficient, the water surface net short wave radiation and the sediment thermophysical property parameters; the water surface net short wave radiation, the vertical heat conduction flux, the horizontal heat advection item and the lakebed heat exchange item are synthesized, and the heat reserve change rate is obtained.

The application provides a thermal diffusivity acquisition method and device and a storage medium, relates to the technical field of material thermal physical property parameter testing, and is used for simplifying the process of acquiring and measuring the thermal diffusivity of a material. The method comprises the following steps: in the process of heating a known material and a material to be measured, an electronic device acquires a plurality of first infrared images at different times and a plurality of second infrared images at different times. For each infrared image at a time, the electronic device respectively acquires a first set of pixel values in the first infrared image and a second set of pixel values in the second infrared image. The electronic device determines a plurality of first Gaussian curves and a plurality of second Gaussian curves. The electronic device determines a first slope based on the plurality of first Gaussian curves and a second slope based on the plurality of second Gaussian curves. Then, the electronic device acquires the thermal diffusivity of the known material, and determines the thermal diffusivity of the material to be measured based on the thermal diffusivity of the known material, the first slope and the second slope.

An apparatus for measuring a thermal diffusion coefficient of a material is provided, including a base, and a modulated laser module, a beam shaping and focusing module, and a drive module that are fastened to the base. A vacuum sample chamber module is disposed above the beam shaping and focusing module. An infrared camera module that is able to move up and down freely is disposed above the vacuum sample chamber module. The drive module is configured to drive the infrared camera module to move up and down freely. The modulated laser module emits a laser beam to the beam shaping and focusing module. The beam shaping and focusing module guides the laser beam into the vacuum sample chamber module to irradiate the material. The infrared camera module collects thermal sequence images after the material is heated.

The application discloses a mobile bed heat exchanger and a directional regulation and control disturbance enhanced heat exchange method thereof. The mobile bed heat exchanger comprises a driving chain, a transmission mechanism, a driving motor with a control system, a disturbance part performing horizontal sinusoidal motion and a temperature sensor. The directional regulation and control disturbance enhanced heat exchange method of the mobile bed heat exchanger is mainly realized through the driving chain, the disturbance part performing horizontal sinusoidal motion and the driving motor with the control system. When high-temperature bulk materials enter the heat exchanger, the driving motor drives the disturbance part through the chain to simultaneously perform horizontal sinusoidal motion above and below the heat exchange pipe, and the bulk materials are disturbed. Based on the design, the particle accumulation area and the cavity area above and below the heat exchange pipe are respectively destroyed, the bulk material flow direction is changed to "turbulent flow" with strong heat and mass exchange, and the heat exchange efficiency is improved. The device is suitable for indirect heat exchange between solid bulk materials with small thermal diffusion coefficient and poor fluidity and different fluid media.

The invention discloses a method for evaluating the ice content of frozen soil based on thermal probe static sounding and a thermal probe static sounding system, and the method comprises the steps: carrying out the penetration and soil texture discrimination of a thermal probe, and after the thermal probe reaches a target depth, carrying out the controllable heating and continuous heating at a set power, and forming a local unsteady-state temperature field around the probe; a heat dissipation curve of soil around the probe is collected in real time, characteristic parameters are extracted from the heat dissipation curve, and a frozen soil heat diffusion coefficient is calculated; inverting the ice content of the frozen soil, carrying out layered progressive test, and repeating the steps 2-5 until the ice content test of the frozen soil in the whole exploration depth range is completed; and analyzing ice content calculation results at different depths, drawing a distribution curve, and comprehensively evaluating the structural characteristics, the ice distribution state and the thermodynamic property of the frozen soil. Limitation of traditional mechanical testing is broken through, a frozen soil ice-water phase change mechanism is introduced, the influence of the frost heaving-thaw settlement effect on mechanical behaviors can be systematically evaluated, and accurate characterization of frozen soil mechanical characteristics is achieved.

The modified zirconium phosphate is decomposed at high temperature to generate zirconium dioxide, a compact ceramic layer is formed, and heat is prevented from being transmitted to a magnesium alloy matrix. The lattice type of zirconium dioxide is converted from monoclinic to cubic phase and expands along with the volume, pores are further filled, the heat insulation performance is enhanced, a porous framework structure of diatomite adsorbs decomposed products, oxygen permeation is delayed, and the oxidation rate of magnesium is reduced. The pores and the zirconium dioxide layer form series thermal resistance, so that the thermal diffusion coefficient is reduced, and the problem of insufficient binding force of traditional spraying is solved by utilizing a plasma spraying and ultraviolet curing composite process. According to the scheme, a traditional expansion carbon layer is replaced with the non-expansion type composite thermal barrier, the problems that a magnesium alloy coating is large in thickness, insufficient in flame retardant effect and complex in preparation process are solved, and a safe and reliable flame retardant solution is provided for lightweight magnesium alloy parts in the fields of aerospace, new energy automobiles and the like. Compared with the prior art, the flame retardant property of the magnesium alloy can be obviously improved, and the application scene of the magnesium alloy is expanded.

The application discloses an anti-sintering low-thermal-diffusion-coefficient rare earth tantalate environmental barrier coating ceramic material and a preparation method and application thereof. x Al 1‑x TaO4; the density of the ceramic material is 94.9-98.4%, the pore shrinkage rate is less than 0.5% after long-time heat preservation at 1500 DEG C high temperature; the RE element is Sc, Y or Yb, and the value range of x is 0.02-0.16. The preparation method is that Sc2O3 powder, Y2O3 powder or Yb2O3 powder, aluminum nitrate solution and tantalum chloride solution are used as raw materials, a reaction precipitation colloid is prepared by adopting a chemical co-precipitation method, mixed powder is obtained after washing, drying, grinding and sieving, and ceramic bulk material is obtained after high-temperature hot pressing calcination. The ceramic material prepared by the application has excellent high-temperature thermodynamic performance, a lower thermal diffusion coefficient and a hardness value far exceeding that of common environmental barrier coating materials, and a thermal expansion coefficient matched with carbon fiber reinforced ceramic matrix composite materials, and is an environmental barrier coating material with great potential.

The present invention belongs to the technical field of metal-based composite materials. Disclosed is a treatment method for silicon carbide. The treatment method for silicon carbide comprises the following steps: subjecting silicon carbide particles to long-time soaking and high-intensity acid pickling using a high-concentration acid; washing the acid-pickled silicon carbide particles until same are neutral; and drying the washed silicon carbide particles, so as to obtain activated silicon carbide particles. Further disclosed is a silicon-carbide-reinforced aluminum-based composite material, comprising an aluminum alloy matrix and the activated silicon carbide particles compounded therewith. By means of the treatment method for silicon carbide and the silicon-carbide-reinforced aluminum-based composite material of the present invention, the chemical properties and physical properties of the surface of silicon carbide are changed due to a chemical corrosion treatment performed on the silicon carbide, thereby improving the interface bonding state of the silicon carbide and the aluminum alloy matrix, and enhancing the strength, elastic modulus and thermal diffusion coefficient of the silicon-carbide-reinforced aluminum-based composite material.

The invention discloses a system and a method for measuring a thermal diffusion coefficient of liquid, and belongs to the technical field of optical measurement. The system comprises a detection laser light source, a beam expanding assembly, a polarizing film, a first reflecting mirror, a sample pool, a second reflecting mirror, a third reflecting mirror, an imaging assembly, a pumping assembly and a data processing unit, the detection laser light source, the beam expanding assembly, the polaroid, the first reflector, the third reflector and the imaging assembly are arranged in sequence; the second reflector is arranged at the bottom of the sample cell; a detection light beam emitted by the detection laser light source is reflected to the imaging assembly through the first reflector, the second reflector and the third reflector, and the imaging assembly is used for generating a light spot image of the detection light beam; the pumping assembly is vertically arranged above the sample pool and is used for emitting pumping light and converging the pumping light to the liquid to be detected; the data processing unit is connected with the imaging assembly and calculates the thermal diffusion coefficient of the to-be-detected liquid according to the light spot image of the detection light beam. According to the invention, measurement of the thermal diffusion coefficient of the liquid is realized through a simple optical path.