23 results about "Specific heat" patented technology

A water-cooled heat dissipation and monitoring system includes a pump, water-cooled piping, a water-cooling block, a water-cooling radiator, multiple temperature sensors, and a microcontroller. The pump and water-cooled piping are used to transfer the coolant. The water-cooling block is in thermal contact with a power element. The water-cooling radiator is used to facilitate heat exchange between the coolant and the surrounding environment. Multiple temperature sensors are located at at least two different points along the water-cooling path. The microcontroller is connected to the multiple temperature sensors and the pump, and is used to obtain at least one temperature difference at at least two different points and a measured flow rate of the coolant. Based on the at least one temperature difference, the measured flow rate, the specific heat capacity and density of the coolant, the microcontroller obtains an estimated power consumption and an estimated temperature of the power element, and controls the pump's rotation speed to adjust the coolant flow rate based on the estimated temperature.

This invention provides a method, device, electronic device, and storage medium for continuous casting and rolling temperature monitoring. The method includes determining the current values ​​of multiple first monitoring parameters and multiple second monitoring parameters based on the current temperature distribution and multiple preset mapping relationships. Each first monitoring parameter includes a two-phase composition ratio, and each second monitoring parameter includes a weighted specific heat capacity determined based on the two-phase composition ratio. The two-phase composition ratio is determined based on the current temperature distribution, the length of the temperature range for the austenite-ferrite phase transformation, and the average temperature of the temperature range. Based on the current temperature distribution, the current value of the weighted enthalpy, the current values ​​of each second monitoring parameter, and a preset finite difference heat conduction equation, the estimated enthalpy for the next moment is determined. The current value of the two-phase composition ratio is used as the estimated ratio value for the next moment, and the estimated temperature value for the next moment is determined based on the estimated enthalpy for the next moment. This invention introduces the thermodynamic effects of the austenite-ferrite phase transformation to improve the accuracy of temperature monitoring.

The present application relates to the technical field of cold storage. Specifically disclosed are a cold storage material, and a preparation method therefor and the use thereof. The cold storage material comprises a Gd2O2Se crystal. The cold storage material in the present application comprises the Gd2O2Se crystal, and the Gd2O2Se crystal has a phase transformation near 6.22 K, a relatively large specific heat in a temperature range of 1-10 K, and an obvious magnetothermal effect and can be used as a cold storage material at a liquid helium temperature.

A method for determining the adiabatic temperature rise of high fly ash concrete, which can accurately reflect the temperature change of high fly ash concrete, take into account the early age and later period, and more flexibly and accurately simulate the actual hydration heat process of high fly ash concrete. It comprises: (1) obtaining the thermal conductivity, temperature conductivity, bulk density, specific heat, linear expansion coefficient and Poisson's ratio of high fly ash concrete through experiments, and obtaining the initial adiabatic temperature rise parameters of high fly ash concrete through adiabatic temperature rise test; (2) determining the first part of the model first, using the measured data of the dam body and combining with simulation calculation to obtain the first part of the model; (3) using the thermometer pre-buried in the structure to measure the temperature rise value of the concrete after reaching the minimum temperature in the actual project, and according to the relationship between the data and the age, the second half of the model is analyzed by regression analysis to obtain the adiabatic temperature rise parameters of the second half of the model formula; (4) obtaining the complete formula, and calculating the concrete temperature field according to the formula.

This invention provides a method for the overall identification of the isobaric specific heat capacity of a variable-property working fluid, comprising the following steps: conducting heat transfer tests on the variable-property working fluid under different inlet temperature conditions to obtain the inlet and outlet temperatures and the total heat transfer of the variable-property working fluid under various operating conditions; obtaining the maximum and minimum temperature values ​​of the inlet and outlet temperatures under all operating conditions, dividing the temperature range into intervals with fixed temperature intervals, and using the lower limit temperature of each temperature range as the qualitative temperature of the isobaric specific heat capacity of that temperature range; establishing an artificial neural network for each temperature range, using the inlet and outlet temperatures and the total heat transfer of the heat transfer process under different operating conditions as sample data, and training all artificial neural networks simultaneously to achieve the identification of the isobaric specific heat capacity of each temperature range. This invention effectively improves the identification accuracy by using the overall identification approach of "multiple operating conditions instead of multiple measurement points" to identify the isobaric specific heat capacity of a variable-property working fluid.

This invention discloses a four-step inversion method for thermal properties based on analytical models and unsteady-state numerical models, comprising the following steps: 1) Using water temperature observation data after the 10th hour of the thermal response test, the thermal conductivity of the soil and rock is calculated using the linear slope method based on a linear heat source analytical model; 2) Using water temperature observation data after the 10th hour of the thermal response test and the obtained thermal conductivity of the soil and rock, assuming the thermal conductivity and volumetric specific heat of the backfill material in the borehole, the volumetric specific heat of the soil and rock is inverted based on a one-dimensional unsteady-state numerical model in the entire space; 3) Using water temperature observation data from the first two hours of the thermal response test, the obtained thermal conductivity and volumetric specific heat of the soil and rock, the thermal conductivity and volumetric specific heat of the backfill material in the borehole are simultaneously inverted based on a one-dimensional unsteady-state numerical model in the entire space; 4) Using water temperature observation data after the 10th hour of the thermal response test, the thermal conductivity of the soil and rock, the thermal conductivity and volumetric specific heat of the backfill material are obtained, and the volumetric specific heat of the soil and rock is inverted based on a one-dimensional unsteady-state numerical model in the entire space.

The present application relates to the field of building thermal technology, solves the problem that the existing technology is not accurate, not complete, and poor in environmental adaptability for evaluating the heat storage performance of the envelope structure, and provides an envelope structure heat storage efficiency evaluation method, device, equipment and storage medium, a target test piece containing a functional material is prepared; a cross-characteristic change temperature interval experiment is carried out by using a dynamic thermal and humid climate wind tunnel, nonlinear thermal response data is obtained; a discrete numerical model of enthalpy method is constructed, parameter inversion is carried out with the minimum root mean square error of the theoretical surface heat flow and the measured heat flow as the target, and the thermal physical property parameters and the effective specific heat capacity curve are obtained; a thermal network model is constructed based on the inversion parameters, the hourly heat flow of each node of the test piece is simulated, and the multi-dimensional heat storage efficiency evaluation index of the envelope structure is calculated. The present application couples high-precision wind tunnel experiment, nonlinear heat transfer model and inversion algorithm, accurately quantifies the dynamic heat storage performance of the envelope structure, and provides a precise and practical solution for the heat storage efficiency evaluation of functional envelope structure.

The present application belongs to the technical field of geological survey, and particularly relates to a porosity determination device and method. The porosity determination device comprises: a skeleton volume testing unit for measuring the skeleton volume of a sample by a gas method, the skeleton volume testing unit comprising a first measuring chamber for accommodating the sample; and a total volume testing unit for measuring the total volume of the sample according to the principle of specific heat capacity ratio measurement by a vibration method, the total volume testing unit comprising a connected specific heat capacity ratio measurement assembly and a second measuring chamber, wherein the volume of the internal space of the second measuring chamber is the same as the volume of the internal space of the first measuring chamber, and the first measuring chamber is connected with the specific heat capacity ratio measurement assembly. In the present application, gas is used as the measurement medium, and the skeleton volume and the total volume of the sample can be integrally determined, thereby providing technical support for reducing the influence of human factors, improving error control ability and data comparability in the porosity determination process.

This invention relates to a method and system for calculating and compensating the State of Charge (SOC) of a hydrogen storage system. The invention includes: real-time acquisition of the pressure and temperature of hydrogen gas within the storage container; correction of the pressure based on the pressure and temperature to obtain a standard pressure at 20°C; calculation of the initial SOC value using the pressure-temperature method based on the 20°C standard pressure; acquisition of the heat transfer coefficient, heat exchange area, real-time hydrogen storage mass, and hydrogen specific heat capacity at constant pressure within the storage container, and calculation of a thermal effect compensation coefficient based on the pressure change rate and temperature change rate; thermal effect compensation of the initial SOC value based on the thermal effect compensation coefficient to obtain a thermally compensated SOC value; correction of the hydrogen density based on the second virial coefficient of hydrogen, the real-time absolute pressure within the storage cylinder, and the real-time thermodynamic temperature to obtain a density correction coefficient; and correction of the thermally compensated SOC value based on the density correction coefficient to obtain the final SOC value. This invention improves the accuracy and stability of SOC calculation for hydrogen storage systems.

[Problem] Thermal conductance of a heat source is grasped to contribute to the effective utilization of unused thermal energy. [Solution] A thermal conductance measuring method includes: connecting the other end of a thermal conduction path to a heat source to be measured, the thermal conduction path having a cooling source at one end (S10); installing a heating element in the thermal conduction path, the heating element controllable to fluctuate a heat generation amount by applying fluctuating heating energy to the heating element; measuring a temperature within the thermal conduction path and acquiring a first temperature affected by heat generation by the heating element and a second temperature not affected by heat generation by the heating element (S30, S50); and calculating thermal conductance of the heat source based on a difference between the first temperature and the second temperature (S60) and the heating energy when the first temperature was measured (S80). Since this allows the thermal conductance of the heat source to be calculated without the need to grasp a specific heat, mass, or the like of the heat source, it is possible to contribute to the effective utilization of the unused thermal energy possessed by the heat source.

This invention provides a thin-film heat flow sensor based on a mesh-cavity thermal resistance layer structure and its fabrication method, belonging to the technical field of thin-film heat flow sensors. It is known that the thermal conductivity of air is much lower than that of the thermal resistance layer material. Therefore, when a mesh-cavity structure is formed inside the thermal resistance layer, its overall thermal conductivity will decrease. When heat flows across the sensor surface, the mesh-cavity thermal resistance layer can create a larger temperature difference than a regular thermal resistance layer, thereby increasing the thermoelectric potential output of the heat flow sensor and achieving increased sensitivity. The response time of the heat flow sensor is partly determined by the isobaric specific heat capacity and density of the thermal resistance layer. The mesh-cavity thermal resistance layer has a smaller isobaric specific heat capacity and density than a regular thermal resistance layer, shortening the response time of the heat flow sensor. This invention provides a structurally reliable mesh-cavity thermal resistance layer for thin-film heat flow sensors that can increase sensor sensitivity and improve response speed.

This invention discloses a fluid equivalent method for calculating complex two-phase flow phase change processes. Addressing the challenges of Jacobian matrix singularity and computational divergence arising from the fully coupled solution of multiphase flow models and the kinetic source terms of strongly endothermic / exothermic reactions, this method isolates the computational domain of the real gas-liquid two-phase flow and replaces it with an equivalent single-phase virtual fluid. Based on the latent heat characteristics of the fluid phase change, a specific heat amplification factor M is dynamically set, and a maximum equivalent thermal conductivity is set in conjunction with the system's series thermal resistance model, accurately replicating the isothermal source boundary properties of the gas-liquid phase change process at the physical level. Furthermore, the reduced-dimensional equivalent heat transfer boundary conditions are extracted and mapped to the inner tube of the reaction, completing multi-field coupled solutions and forward optimization of the flow channel configuration. This invention completely eliminates the numerical rigidity of complex phase change calculations, achieving unconditional stability of the underlying algorithm and providing accurate simulation technology support for the design of high-efficiency phase change heat transfer reactors and internal enhanced heat transfer structures.

The present application belongs to the field of chemical thermodynamics, and discloses a method for measuring the specific heat capacity of a substance at constant pressure. The method realizes the measurement of the specific heat capacity of the substance through an adiabatic accelerating calorimeter in a heating-waiting-scanning mode, and provides a convenient and effective method for obtaining the specific heat capacity of the substance.

The application discloses a kind of inversion measurement method, system and medium for the thermal physical parameters of porous medium, belong to material thermal physical parameter measurement technical field, method is: obtaining temperature measurement data;Obtain heat transfer model, wherein, heat transfer model is used to dynamically correct apparent specific heat and target thermal conductivity according to the temperature value of porous medium at current time, to calculate the temperature value of next time, target thermal conductivity is determined according to first model parameter and second model parameter, first model parameter is used to characterize solid heat conduction, and second model parameter is used to characterize pore thermal radiation, heat transfer model is one-dimensional heat transfer model determined according to energy conservation equation in target heat transfer direction;According to temperature measurement data, the first model parameter and the second model parameter in heat transfer model are inverted, to obtain first target parameter and second target parameter, therefore, by implementing the application, it can realize to improve measurement accuracy.

A turbine design method in connection with a material change of a runner disk (9a, 9b) of a turbine runner (102), characterized in that the time required for a temperature of the runner disk (9a, 9b) at the time of starting a turbine (3) to reach a second temperature from a first temperature is the temperature rise time, and that the distance between the surfaces on an inlet side and an outlet side of the runner disk (9a, 9b) is a distance between the surfaces, wherein the turbine design method comprises: determining a temperature rise time ratio, which is a desired ratio of the temperature rise time after the material change to the temperature rise time before the material change; determining the distance between the surfaces after the material change based on the determined temperature rise time ratio;Determining a shape of the impeller disk (9a, 9b) after the material change based on the determined distance between the surfaces; and designing the turbine (3) while the determined shape of the impeller disk (9a, 9b) is reflected in the turbine impeller (102), and wherein the temperature rise time is defined by the following formula: t = c⋅m⋅L / (k⋅S), where “c” is a specific heat of the impeller disk (9a, 9b), “m” is a weight of the impeller disk (9a, 9b), “L” is a distance between the surfaces, “k” is a thermal conductivity of the impeller disk (9a, 9b), and “S” is a cross-sectional area of ​​an annular section with a central axis of the impeller disk (9a, 9b) as its center point.

This invention provides a temperature regulation system, an electronic device, and a storage medium. The system includes several water-cooled plates, several heating plates, and several refrigerant flow plates. Each heating plate is positioned between two water-cooled plates and two refrigerant flow plates to heat the water medium in the water-cooled plates on both sides of the heating plate, and to heat the refrigerant medium in the refrigerant flow plates on both sides of the heating plate. Each heating plate is equipped with a heating module, and the heating modules are controlled by a heating module controller. When the energy storage device needs to be heated, the heating modules raise the temperature of the water medium in each water-cooled plate to regulate the temperature of the energy storage device. When cooling is required, the heating modules raise the temperature of the refrigerant medium in each refrigerant flow plate to improve the fluidity and specific heat capacity of the refrigerant medium and reduce its temperature rise during compression.

This invention provides a method and apparatus for determining the equivalent adiabatic temperature rise of concrete, comprising: constructing a heat transfer model of a calorimeter under semi-adiabatic conditions and representing the total heat transfer power of the calorimeter; determining the heat loss coefficient of the calorimeter using a calibration device; deriving the heat capacity of the calorimeter by turning off the calibration device; obtaining the calibrated calorimeter based on the heat loss coefficient and heat capacity of the calorimeter, and conducting a semi-adiabatic test; calculating the equivalent heat of hydration and equivalent adiabatic temperature rise based on the sampling data during the semi-adiabatic test, combined with the specific heat capacity and mass parameters of the concrete sample, thus completing the determination of the equivalent adiabatic temperature rise of concrete. This invention simplifies equipment, reduces costs, accurately compensates for heat loss, precisely recreates the hydration heat release process of concrete, ensures the scientific validity and comparability of the test, and promotes the advancement of quality control technology for large-volume concrete.

The application discloses a temperature control method and device of a variable-temperature room, a first temperature sensing element is arranged at a position close to a refrigerator door in the variable-temperature room, and a second temperature sensing element is arranged at a position far from the refrigerator door in the variable-temperature room, the method comprises the following steps: acquiring a first temperature and a second temperature before the refrigerator door is opened; acquiring a third temperature and a fourth temperature at the current moment when the closing duration of the refrigerator door reaches a first preset duration; comparing the difference between the third temperature and the first temperature and the difference between the fourth temperature and the first temperature with a preset temperature threshold value respectively, determining the refrigeration state of the variable-temperature room, and controlling the operation state of the fan of the refrigerator. By arranging two temperature sensing elements with different specific heat capacities in the variable-temperature room, the temperature change in the variable-temperature room can be effectively acquired, the refrigeration state of the variable-temperature room can be controlled, and accurate control of the temperature of the variable-temperature room is realized.

This application provides a method, apparatus, equipment, and medium for calculating the temperature rise of an energy storage cabinet under sunlight exposure. The method includes: acquiring dynamic parameters of the environment in which the energy storage cabinet is located; determining the total irradiance of the inclined surface of the energy storage cabinet based on the dynamic parameters; correcting the external air convection heat transfer coefficient based on the heat exchange power under a preset standard test condition; determining and correcting the heat transfer coefficient based on the internal convection heat transfer coefficient, the external air convection heat transfer coefficient, the thickness difference between the inside and outside of the energy storage cabinet, and the comprehensive thermal conductivity of the inside and outside of the cabinet; determining the total heat generation power of the six sides of the energy storage cabinet based on the area, heat transfer coefficient, and heat transfer correction coefficient of the six sides of the energy storage cabinet; and determining the temperature rise of the energy storage cabinet based on the relative specific heat capacity, relative mass, heat generation power, sunlight exposure time, and the specific heat capacity correction parameter of the energy storage cabinet. This technical solution combines heat transfer and thermodynamics to derive the calculation process for calculating the temperature rise of an energy storage cabinet under sunlight exposure.

This invention relates to the field of radiator heat dissipation technology, specifically to an integrated radiator heat dissipation system and method, comprising: calculating the required theoretical heat dissipation based on the radiator's target operating temperature and current operating load using a thermal resistance network model that integrates fin geometric parameters, contact surface thermal conductivity, and the specific heat capacity of the cooling medium; introducing the cooling medium by activating a flow regulating device while simultaneously recording the real-time temperature of the radiator's reference surface using a temperature acquisition device; inputting the real-time temperature data into the thermal resistance network model to inversely calculate the actual temperature rise of the cooling medium; comparing the actual and ideal temperature rise to generate a flow correction command to dynamically adjust the cooling medium's circulation velocity; and simultaneously activating a turbulence generator to automatically match the disturbance frequency according to the cooling medium's flow velocity, thereby disrupting the laminar boundary layer. This method can improve heat dissipation accuracy and efficiency while reducing energy consumption.

The application discloses a multi-source heterogeneous data fusion carbon capture whole-process intelligent regulation and control system and method, relates to the technical field of carbon capture regulation and control, and is used for solving the problems of uneven distribution of tower internal humidity, liquid level height deviation, heat utilization efficiency reduction and shortened equipment operation life, taking the liquid level height of an absorption tower as a core regulation and control variable, setting multiple groups of liquid levels and sampling periods, collecting absorption heat content and gas-liquid humidity proportion in real time, calculating absorption heat efficiency based on import and export temperature difference and specific heat capacity, constructing a mass transfer efficiency evaluation factor in combination with image recognition results, screening an optimal liquid level height, subsequently collecting gas flow and temperature difference, calculating gas phase resistance coefficient, classifying tower operation states in combination with gas-liquid contact state, matching a pressure difference regulation mechanism to regulate gas-liquid balance, obtaining absorption residual time and calculating a load index, dynamically correcting operation load, improving mass transfer efficiency and heat utilization rate, prolonging equipment cycle and reducing system energy consumption.