52 results about "Thermal analysis" patented technology

The invention relates to the field of heating characteristics of samples, and particularly provides a macro sample temperature jump type in-situ thermal analysis system and a macro sample temperature jump type in-situ thermal analysis method. The system is characterized in that a driving unit is arranged on a guide rail and is suitable for doing vertical movement along the guide rail; the guide rail is perpendicular to the ground; the tubular electric heating reaction unit is connected with the driving unit, and after the tubular electric heating reaction unit is heated to a target temperature, the driving unit drives the tubular electric heating reaction unit to move to the periphery of the sample placing unit, so that a macro sample in the sample placing unit is instantly heated; the accuracy of analyzing the thermogravimetry of macroscopic samples and the precipitation characteristics of volatile matters in simulated industrial application can be improved; the balance measuring unit is connected above the sample placing unit, and the initial position of the tubular electric heating reaction unit is located at the lower end of the guide rail, so that the sample placing unit and the balance measuring unit are kept stable in the process of placing a macroscopic sample into the sample placing unit, and the weighing error during sample weighing and sample reaction is reduced.

The invention provides a cyclotron electrostatic deflection plate beam loss heat source reconstruction method, and relates to the technical field of particle accelerator thermal analysis and multi-physics field coupling calculation, and the method comprises the steps: 1, configuring beam dynamics simulation parameters, multi-particle tracking is carried out under a three-dimensional field graph containing a central area electromagnetic field, a harmonic coil magnetic field and an electrostatic deflection electric field, and a particle loss list is generated; step 2, transferring the particle loss list into a beam source file of a Monte Carlo radiation transport program, configuring Monte Carlo parameters including a deflection plate material, a boundary, a particle type and an energy spectrum, executing particle transport simulation, and obtaining a three-dimensional energy deposition matrix on an electrostatic deflection plate element; according to the method, high-resolution heat source reconstruction is realized, the peak temperature rise calculation error of the deflection plate can be reduced, a temperature field solving result can be fed back to optimize the particle source, and a reliable basis is provided for thermal structure design and cooling optimization of the electrostatic deflection plate.

A system for the simultaneous thermal analysis of a plurality of single samples of, in particular biological, material by means of differential scanning calorimetry, with at least one sample carrier having several sample vessels, wherein a single sensor for measuring an amount of heat emitted or absorbed by the single sample during the thermal analysis is assigned to each sample vessel; a heating and / or cooling unit for the simultaneous temperature application of the single samples included in the sample vessels, with a receptacle for the at least one sample carrier; a measuring instrument, which is connected to the single sensors and which is formed to simultaneously capture a measuring value for the emitted or absorbed amount of heat of the single samples during the thermal analysis, a sample carrier, in particular for use in this system as well as a method for the simultaneous analysis of a plurality of single samples or groups of single samples by means of differential scanning calorimetry.

This invention provides a method and system for inspecting and detecting cracks on the surface of radiation-shielding concrete walls. The method includes establishing a three-dimensional finite element model of the wall, inputting real historical temperature data for transient thermal analysis and thermal-structural coupling analysis, identifying areas with maximum principal tensile stress or temperature gradients exceeding thresholds as high-risk areas, assigning high weights to the meshes of high-risk areas, and planning inspection paths; a mobile inspection platform automatically acquires images along the path, synchronously recording and storing the three-dimensional spatial coordinates of each image through a high-precision positioning module; inputting the images into a deep learning instance segmentation network to obtain a crack segmentation mask, extracting the skeleton based on the mask to calculate the crack length and width, and converting the pixel size to physical size by combining camera intrinsic parameters and shooting distance to generate a crack list. This invention achieves risk prediction, accurate data acquisition, and quantitative measurement of radiation-shielding walls, significantly improving inspection efficiency and detection accuracy.

The invention discloses a thermal performance analysis method for a protective layer of a lunar base and a protective layer structure. The method comprises the following steps: establishing a thermal balance equation including solar radiation, lunar internal heat, non-blackbody radiation and lunar albedo radiation; performing thermal analysis based on a heat transfer theory basic theory equation and a heat balance equation to obtain a thermodynamic micro-equation of the lunar surface and the protective layer; solving the obtained thermodynamic micro-equation to obtain temperature field distribution; determining the relationship between the lunar soil protective layer thickness and temperature fluctuation based on finite element analysis; and determining the thickness of the lunar soil protective layer based on the relationship between the thickness of the lunar soil protective layer and temperature fluctuation, and constructing the protective layer based on the determined thickness of the lunar soil protective layer. By adopting the method and the protective layer, the protective capability of the protective layer structure is improved.

This invention discloses a method for testing the crosslinking degree of hard carbon precursors and a method for predicting the capacity of hard carbon, belonging to the technical field of performance evaluation of battery anode materials. The method includes the following steps: preparing a control sample and a test sample of the precursor; collecting infrared spectral data of the control sample and the test sample under the same conditions; extracting the peak area of ​​characteristic functional groups in the infrared spectral curves using peak fitting; calculating the crosslinking degree of the hard carbon precursor according to a formula; verifying the accuracy of the detection method using conventional dynamic mechanical thermodynamic analysis; and establishing a mathematical relationship between the crosslinking degree of the precursor sample and the specific capacity of the derived hard carbon. This allows for the measurement of the crosslinking degree of the precursor sample and the prediction of the sodium storage capacity of the hard carbon anode material. Compared with existing technologies, this invention has stronger universality, simpler operation, quantitative analysis, and better data stability, making it an advanced detection technology for hard carbon anode materials.

The present application relates to a kind of thermal analysis and material characterization technical field, it is a kind of material pyrolysis behavior simulation method, device, electronic equipment and storage medium based on chemical and element composition, including input target sample's basic data to composition-parameter mapping model, obtain the predicted parameter of each thermal decomposition stage, wherein composition-parameter mapping model is obtained using multiple samples for deep learning;Using the predicted parameter of each thermal decomposition stage generates the simulated thermogravimetric curve of target sample quality with temperature or time change, and numerical differentiation is carried out to simulated thermogravimetric curve, obtains simulated differential thermogravimetric curve.The present application can simulate to obtain thermogravimetric curve and differential thermogravimetric curve according to chemical composition, element composition and thermogravimetric experiment condition without real thermogravimetric experiment, break the original thermogravimetric curve for the limitation of obtaining dependence on thermogravimetric experiment, eliminate the cost and time required for thermogravimetric experiment, reduce the cost of thermogravimetric curve acquisition, improve acquisition efficiency.

The application provides an electrothermal analysis method and system for a phase change memory, comprising: proportionally dividing a phase change layer of the phase change memory into a plurality of sub-regions with the same volume; determining a doping proportion of the doping material, and calculating the number of sub-regions occupied by the doping material according to the doping proportion; randomly selecting a corresponding number of sub-regions to fill the doping material according to the calculated number of sub-regions, and filling the remaining sub-regions with a phase change material; determining electrothermal parameters of the doping material, the phase change material, an upper electrode, a lower electrode and an insulating and heat-insulating layer; determining boundary conditions and current parameters of the phase change memory; the boundary conditions are thermal boundary conditions, and the current parameters are RESET / SET current pulses; and combining the above-mentioned electrothermal parameters, current parameters and boundary conditions to perform thermal simulation analysis on the phase change memory, so as to determine the temperature field distribution inside the phase change memory after the phase change memory receives the RESET / SET current pulses, and further analyze the phase change region inside the phase change memory and the RESET / SET power consumption.

The application relates to the technical field of composite material analysis, and discloses an online thermal analysis method and system for composite materials and a storage medium, which comprises multi-physical field coupling modeling, a thermal response coupling model containing solid-gas phase interaction is constructed, a correlation relationship between parameters and temperature and decomposition reaction progress is established, spatial discretization is carried out by using the Galerkin method, a thermal response differential equation set is solved by using an implicit or explicit time stepping algorithm, temperature field distribution, mass loss and carbon layer formation data are obtained, the carbon layer formation standard is that the mass fraction of a matrix is reduced by 20%, the carbon layer thickness is calculated by mass loss, a mechanical property parameter model is established, and the residual strength after a fire is calculated, and a temperature-time curve, residual strength distribution and parameter sensitivity analysis report can be visually displayed on an online platform. The application realizes full-process analysis from thermal response simulation to residual strength evaluation, improves prediction accuracy, and reduces the application threshold.

The present application relates to a kind of two-color infrared temperature calibration methods for space station containerless material experiment, obtain the temperature variation of space station containerless material experiment.Heating temperature-time curve of sample measured under the preset certain two-color infrared slope, then mark the characteristic temperature on temperature-time curve, according to the single-color radiant intensity ratio invariable relationship, two-color infrared slope, characteristic temperature and the phase transition temperature obtained by phase diagram or thermal analysis experiment are substituted into the established equation relationship.The correction value of two-color infrared slope is solved, the correction value is substituted back into the equation relationship, and all the temperature data obtained are substituted into one by one, and the corresponding calibration temperature is solved.So far, the corrected two-color infrared slope and the calibrated temperature-time curve are obtained.The method proposed in the present application does not need to rely on thermocouple, and does not need to construct model in advance under the same environment and fit parameters, and the calibrated two-color infrared temperature can be controlled within a smaller error range at the characteristic temperature.

A multi-field coupling-based thermal characteristic analysis method for an extra-high-voltage direct-current isolating switch comprises the following steps of: 1, establishing a three-dimensional geometric model of a conductive structure of the extra-high-voltage direct-current isolating switch, and simplifying the structure according to a simulation precision requirement; 2, importing the three-dimensional geometric model obtained in the step 1 into simulation software, applying rated current excitation to the conductive structure in the simulation software, and calculating current density distribution in the conductor and Joule thermal power generated by the current density distribution; 3, coupling the thermal power field obtained in the step 2 with a heat conduction field, and constructing an electric-thermal multi-physical field joint simulation model; 4, setting temperature-related physical property parameters and environment boundary conditions of the material, and performing transient thermal analysis to obtain temperature distribution and thermal characteristics of the disconnecting switch in an operation state; through the steps, the thermal characteristic analysis of the extra-high voltage isolation switch based on multi-field coupling is realized.

This invention provides a means to perform differential scanning calorimetry analysis more cost-effectively, simply, and quickly. [Solution] A system for simultaneous thermal analysis of multiple single samples, particularly biological materials, by differential scanning calorimetry (DSC) comprises a sample carrier having multiple sample containers, each sample container assigned a single sensor for measuring the amount of heat released or absorbed from a single sample during thermal analysis; a heating and / or cooling unit having a receptacle for the sample carrier and for simultaneously applying temperature load to the single samples contained in the sample containers; and a measuring instrument connected to a single sensor and configured to simultaneously acquire measured values ​​of the amount of heat released or absorbed by a single sample during thermal analysis. Furthermore, a sample carrier for use in this system and a method for simultaneously analyzing a single sample or a group of single samples by differential scanning calorimetry (DSC) are provided.

The invention relates to a metallurgical quality control method for vermicular graphite cast iron. The method comprises the steps that parameters in the melt vermicularizing process are collected in real time, and a process data set is generated; establishing a dynamic differential equation set comprising four stages of dissolution, diffusion, reaction and recession, and outputting effective vermicularizing element concentration time sequence data by solving the dynamic differential equation set; differentiating a cooling curve in the process that the melt is solidified to form the casting to obtain a cooling curve characteristic value, calculating a current vermicularizing rate predicted value and a vermicularizing change rate through a thermal analysis model, calculating real-time temperature field distribution and pressure field data, and calculating a shrinkage tendency index of each area of the casting through multi-physics field coupling, and dynamically adjusting the adding amount of the vermiculizer and the electromagnetic stirring parameters according to the index and the vermicularizing change rate. According to the method, through real-time monitoring, multi-physics field coupling analysis, dynamic adjustment of technological parameters and the like, the regulation and control capacity on the melt vermicularizing process and the casting quality is improved, and effective control over the shrinkage porosity defect is achieved.

This invention discloses a selenite crystal and its preparation method. X-ray powder diffraction of the selenite crystal, measured using Cu-Kα radiation, yielded diffraction angles (expressed as 2θ) of 17.7°±0.2°, 19.5°±0.2°, 20.0°±0.2°, 22.9°±0.2°, 24.5°±0.2°, 24.9°±0.2°, 26.2°±0.2°, 29.8°±0.2°, 30.2°±0.2°, 31.4°±0.2°, and 33°. Characteristic peaks are observed at 0°±0.2°, 34.3°±0.2°, 35.8°±0.2°, 36.6°±0.2°, 37.4°±0.2°, 37.5°±0.2°, and 38.4°±0.2°. A characteristic endothermic peak is observed at 73.4℃ in the differential scanning calorimetry (DSC) spectrum of the crystal. This invention features a simple preparation route, mild reaction conditions, convenient operation, low cost, and good process reproducibility. The prepared selenite has a stable crystal form, making it suitable for large-scale industrial production of pharmaceutical raw materials.

This invention provides a method for diagnosing condensation degradation in vector thermal analysis. The method includes: performing a thermal analysis reaction on the sample to obtain thermogravimetric data and three-dimensional mass spectrometry data of the gaseous phase; calculating the total mass change of the sample; analyzing the three-dimensional mass spectrometry data using the equivalent characteristic spectrum method to obtain the total mass change of all gaseous components; and determining the classification of condensation degradation based on time correlation coefficients. The classification of condensation degradation includes: condensation tailing defects, condensation drift defects, memory effect defects, and secondary reaction defects. This invention utilizes mass spectrometry in vector thermal analysis to qualitatively and quantitatively analyze the escaping gases during the thermal analysis reaction process. By comparing the mass yield of all gaseous components with the weight loss rate of the solid and liquid phases in the thermal analysis, and using a time correlation and mass balance system, it provides real-time intelligent diagnosis of condensation degradation phenomena and possible types occurring in the escaping gases during detection.

A film formation method having an excellent mass productivity, whereby a time required for forming a film having a desired thickness is short. In the film formation method, the following steps are performed: atomizing or dropletizing a liquid containing a metal complex, the liquid being raw material solution, conveying resulting mist or droplets to a base by a carrier gas, and forming a metal oxide file on the base by thermally reacting the mist or droplets in the vicinity of the base, the metal oxide film comprising a crystalline oxide semiconductor. A metal complex is used, which shows an exothermic peak at 480° C. to 520° C. in a thermogravimetric-differential thermal analysis at a temperature increase rate of 20° C. / min under an oxygen-containing atmosphere.

The invention belongs to the technical field of integrated circuit computer aided design / electronic design automation, and relates to a chip active thermal management method adopting a rapid and accurate temperature predictor. According to the method, a steady-state thermal analysis solver based on random walk suitable for a mixed boundary condition is improved by utilizing the characteristics that only a power diagram at a heat source changes and a geometrical shape, material parameters and boundary conditions are unchanged in a thermal management process, and a changed power item is separated from other fixed parts; in the off-line stage, fixed geometrical shapes, material parameters and boundary conditions are pre-calculated and stored, and microsecond-level rapid prediction of the hot-spot temperature is achieved through vector multiplication during chip operation. According to the method, partial inversion is carried out on a large-scale matrix constructed by a compact thermal model based on finite difference by utilizing a random method. And task mapping and dynamic voltage frequency regulation measures are combined, so that extremely high chip working frequency can be kept while all thermal conflicts are eliminated. The method has the advantages of no discretization, high calculation efficiency, natural parallelism and the like.

This invention provides a laminate comprising a substrate layer, a gas barrier layer, and a sealant layer. The sealant layer is located on the outermost surface of one side of the laminate. The sealant layer is a resin layer comprising poly(3-hydroxybutyrate-copolymer-3-hydroxyhexanoate) and has at least one peak temperature (Tma) in the range of 130°C to 160°C in a crystallization melting curve obtained by differential scanning calorimetry.

A two-step synthesis of SiC including initial exposure of carbon surfaces to Si vapor, followed by Si melt infiltration, is described herein. Interrupted differential thermal analysis (DTA) of amorphous C and Si powder mixtures and microstructure characterization are used to identify the stages of the reaction. Exposure to Si vapor yields a SiC layer with nanoscale porosity driven by the volume change associated with the reaction. This forms a continuous pore network that promotes subsequent melt access to the reaction front with the C. While the pores remain open, the vapor phase reaction proceeds at a nearly-constant rate and exhibits a strong temperature sensitivity, the latter due largely to the temperature sensitivity of the Si vapor pressure. The implications for enhancing the reactive melt infiltration process and fabrication of SiC matrices for ceramic composites are discussed.

The invention discloses a thermotechnical analysis model establishment method and device and a containment integrity analysis method and system, and relates to the technical field of nuclear industry. The establishment method comprises the following steps: acquiring a room model; according to the room model, a control body surface form, a flow channel form and a heat absorption structure form are determined; determining a thermotechnical analysis model input file according to the control body surface form, the flow channel form and the heat absorption structure form; and establishing the thermotechnical analysis model according to the thermotechnical analysis model input file. According to the embodiment of the invention, the thermotechnical analysis model can be accurately and quickly established, so that the working efficiency of designers can be improved.

The invention relates to the technical field of thermal monitoring and metering, in particular to a complex environment thermal temperature dynamic monitoring and metering system fusing a digital twinborn technology, which comprises a physical sensing layer, a digital twinborn modeling layer, a data fusion layer, a dynamic metering layer and an application interaction layer, the physical sensing layer comprises a distributed fiber grating sensor array, an infrared thermal imaging module and a miniature wireless temperature node, and is used for collecting multi-dimensional temperature data of a complex environment; the digital twinborn modeling layer comprises a geometric modeling engine, a thermal characteristic mapping module and a real-time rendering engine, through heat flow-temperature coupled digital twinborn modeling and Kalman dynamic compensation, the metering precision of + / -0.05 DEG C is realized, the problem of error accumulation in a complex environment is solved, and compared with a traditional system, the error accumulation is improved by more than 90%; the Pi-type sensing layout and the STA-Fus ion fusion network realize 0.1 m spatial resolution and 10kHz time response rate, can capture a tiny temperature gradient and a rapid change process, and provides fine data for thermal analysis.

The present application relates to the technical field of drilling fluid detection, in particular to a green drilling fluid environmental protection performance comprehensive test evaluation method, comprising: configuring a standardized environment simulation reactor, injecting a green drilling fluid sample to be tested and a simulated environment medium containing fresh water sediments, salt water sediments and land soil, separating the whole system liquid-solid mixture after leaching reaction under constant temperature and frequency conditions to obtain filtrate and solid residue. The filtrate is subjected to full component spectrum scanning, compared with a standard spectrum library to identify target pollutants and preliminary concentration interval; the residue is subjected to thermal analysis and gas phase capture, data is imported into a pollutant migration and transformation prediction model, combined with medium physicochemical parameters to calculate solid phase adsorption retention and long-term release potential, and the solid phase occurrence state of pollutants is evaluated. The method can adapt to multi-element environment simulation, completely detect liquid-solid two-phase pollutants, accurately identify pollutants and quantify solid phase occurrence characteristics, and realize comprehensive evaluation of drilling fluid environmental protection performance.

The invention belongs to the technical field of optical-mechanical structure design and manufacturing, and discloses a telescope athermalization design and manufacturing method suitable for the Antarctic extreme station site environment, and the method comprises the following steps: 1, building a thermal response model according to a temperature range; 2, establishing a thermal expansion characteristic curve according to thermal environment characteristics, matching thermal performances of the primary mirror, the secondary mirror, the lens cone and the support structure through a material database and a prediction model, and selecting corresponding materials; 3, according to a thermal analysis result, topological optimization and parametric modeling are carried out on a primary mirror support, a secondary mirror support and a lens cone connection node, an optimal support position, a stress path and an error chain under different temperature loads are obtained, and a reserved assembly compensation amount is obtained; and 4, according to the material and the reserved assembly compensation amount, carrying out partition modular 3D printing and assembly on the telescope. According to the design and manufacturing method provided by the invention, through collaborative optimization of materials, structures and manufacturing, low-heat deformation of the telescope in an extreme environment can be realized.

The application discloses a heat design method for a laser cavity, which considers heat shielding and weight reduction effects, and relates to the technical field of heat design optimization. The method comprises the following steps: S1, determining an initial structure of a multi-layer nested heat shielding laser cavity; S2, performing thermal analysis on the cavity structure to obtain all heat design parameters and calculate the thermal time constant of a silicon crystal; S3, calculating the weight of the cavity according to the initial structure; S4, evaluating the heat shielding effect according to the time constant, evaluating the weight reduction effect, and performing multi-objective Pareto optimization on the heat design parameters; and S5, obtaining the optimal heat design method after weighing the two effects. The application improves the heat design efficiency of the laser cavity, improves the heat shielding effect, and saves the weight cost.

The present invention provides a system for the simultaneous thermal analysis of a plurality of individual samples of a material, in particular a biological material, by dynamic differential scanning calorimetry (DSC), comprising: at least one sample carrier having a plurality of sample containers, each sample container being assigned a single sensor, the heat meter is used for measuring heat released or absorbed by a single sample in a thermal analysis process; a heating unit and / or a cooling unit for simultaneously applying a temperature to the individual samples contained in the sample container, the heating unit and / or cooling unit having a receptacle for at least one sample carrier; a measuring device, which is connected to the individual sensor and is designed for this purpose to simultaneously detect a measured value of the heat released or absorbed by the individual sample during the thermal analysis process, the invention also relates to a sample carrier, in particular for use in said system, and to a method for simultaneous analysis of a plurality of individual samples or groups of individual samples by dynamic differential scanning calorimetry (DSC).

The invention relates to a method for efficiently calculating the temperature of a spacecraft structure in a thermal environment, and belongs to the technical field of spacecrafts. Establishing an antenna model based on finite element software, extracting a thermal parameter matrix, and establishing a traditional heat conduction equation; secondly, simulating a multi-orbit periodic temperature field through spaceflight thermal analysis software, and storing a transient temperature sample; secondly, processing a temperature sample by adopting intrinsic orthogonal decomposition (POD), and constructing a POD base mode to realize ten-thousand-dimensional model order reduction; thirdly, establishing a dimensionality reduction heat conduction equation, modeling a radiation heat flow item of the dimensionality reduction heat conduction equation by a feedforward neural network, and implicitly fitting quadruple nonlinearity through a ReLU activation function by the network by taking a temperature generalized coordinate as an input; finally, neural network expression is combined with a POD method, and a complete low-order nonlinear radiation heat conduction equation is established; the method has both physical mechanism completeness and calculation efficiency, wherein the model dimension is reduced by two orders of magnitude, and the real-time processing requirement of a satellite-borne platform is met; the neural network retains the radiation nonlinear nature, and the prediction precision is high.

The invention discloses a high-precision three-dimensional microcalorimeter based on double-layer temperature control and dynamic filtering and a control method, and belongs to the technical field of precise thermal analysis instruments. The device comprises a three-dimensional thermopile used for placing a sample and a reference substance, an inner cylinder provided with a heating part I and a temperature sensor I, an outer cylinder containing a split type heating part II, a multi-layer vacuum shell and a base, the inner side of the shell is filled with heat insulation cotton, a heat uniformizing block and the temperature sensors matched with the heating parts are further arranged, and after the sample and the reference substance are placed in the shell, the sample and the reference substance are heated through the heat uniformizing block. The control module controls the inner cylinder to heat according to the target temperature; the temperature of the inner cylinder and the external environment is collected, the temperature of the outer cylinder is dynamically adjusted through temperature changes of the inner cylinder, interference of the environment on the temperature of the inner cylinder is reduced, and the temperature of the inner cylinder continuously approaches a target temperature value through cooperative adjustment of the inner cylinder and the outer cylinder. By adjusting the temperature of the outer cylinder, the interference of the environment temperature on a test sample in the inner cylinder is reduced, so that the test precision of the microcalorimeter is greatly improved, and the microwatt level is achieved.

The present application relates to a kind of thermal analysis and material characterization technical field, it is a kind of material pyrolysis behavior simulation method, device, electronic equipment and storage medium based on chemical and element composition, including input target sample's basic data to composition-parameter mapping model, obtain the predicted parameter of each thermal decomposition stage, wherein composition-parameter mapping model is obtained using multiple samples for deep learning;Using the predicted parameter of each thermal decomposition stage generates the simulated thermogravimetric curve of target sample quality with temperature or time change, and numerical differentiation is carried out to simulated thermogravimetric curve, obtains simulated differential thermogravimetric curve.The present application can simulate to obtain thermogravimetric curve and differential thermogravimetric curve according to chemical composition, element composition and thermogravimetric experiment condition without real thermogravimetric experiment, break the original thermogravimetric curve for the limitation of obtaining dependence on thermogravimetric experiment, eliminate the cost and time required for thermogravimetric experiment, reduce the cost of thermogravimetric curve acquisition, improve acquisition efficiency.