32 results about "Calorimetry" patented technology

A respiratory monitoring system with improved detection of oxygen consumption is described. The system uses one or two mixing chambers and samples gases at selective locations for reliable detection of oxygen over extended periods of time with autonomous detection of calibration drift. The system can be used for indirect calorimetry and monitoring health of a subject.

The application discloses an online data analysis method and system for fusion radiation calorimetric diagnosis, and belongs to the technical field of nuclear fusion experiments. The method firstly establishes a fusion radiation calorimetric diagnosis expert rule base based on multi-dimensional parameter data fusion, creates a paging man-machine interface and a unified canvas framework embedded in the interface homepage; then, a current discharge gun number is acquired online, multi-signal source time sequence data is acquired from a current pulse tree of a remote pulse database and stored into a local pulse library; then, data is processed and analyzed according to diagnostic expert rules, automatic identification and compensation of abnormal channels of the diagnosis are realized, and radiation intensity and total radiation power are calculated online; finally, various signal data are integrated and visualized under the unified canvas framework; the system realizes an efficient radiation calorimetric diagnosis online data analysis method and provides reliable data support for fusion experiments.

The application discloses an adiabatic accelerating calorimetry method with fast reaction heat loss correction. The application realizes more accurate calculation of sample reaction kinetics and thermodynamics by compensating the convection and conduction heat loss in the fast reaction stage; differential equations are derived and solved from the perspective of heat balance by using heat transfer analysis; a new heat loss calibration mode is added, the HWS heating stage is divided into two parts, the convection heat loss coefficient is calibrated by tracking the reaction system temperature by controlling the cover temperature in the first part, and the conduction heat loss coefficient is calibrated by controlling the constant temperature of the furnace body in the second part; the linear fitting and interpolation method are used to solve the relationship between the heat loss coefficient and the temperature in the reaction process; and finally, the heat loss in the reaction process is integrated to compensate the sample heat release. The application improves the accuracy and reliability of the solution of thermodynamic and kinetic parameters.

The invention relates to an application of differential scanning calorimetry in ambrotone quality control. Specifically, the invention provides a method for determining ambrotone, and the method comprises the step of determining an ambrotone sample by a differential scanning calorimetry. The method disclosed by the invention can be used for measuring the content of ambrotone, so that the method is used for controlling the quality of ambrotone, the differential scanning calorimetry has the advantages of rapidness, high efficiency, simplicity in operation, good reproducibility and the like, and the establishment of the method provides a rapid and efficient analysis method for controlling the quality of ambrotone. The important significance is realized on the application of ambrotone.

A computer-implemented method for obtaining a Q10 value for accelerated ageing tests of a product, comprising: obtaining at least one Q10 value of a first product; performing differential scanning calorimetry on the first product; determining the ratio of semicrystalline chain structure to amorphous chain structure present in the product, using the differential scanning calorimeter analysis data of the first product; determining the ratio of semicrystalline chain structure to amorphous chain structure present in a second product using differential scanning calorimetry; predicting the Q10 value of a second material using (i) the Q10 value of the first product, (ii) the determined ratio of semicrystalline chain structure to amorphous chain structure present in the first product, and (iii) the determined ratio of semicrystalline chain structure to amorphous chain structure present in the second product. The disclosure also relates to other inventive methods for determining Q10 values including a method for determining a Q10 value of a product comprising multiple materials, a method for determining a Q10 value by making a comparison with historical Q10 values in a database, and a method using time temperature superposition.

The invention discloses a method for analyzing and predicting the retarding performance of sulphoaluminate cement, and relates to the technical field of building materials, which comprises the following steps: characterizing the mineral composition of cement through XRF, screening out retarders such as boric acid or citric acid / sodium gluconate and the like, and testing the compatibility of the retarders with a water reducing agent and environmental factors; monitoring a hydration dynamic process and a slurry dispersion state by using an isothermal calorimetric method and Zeta potential; the setting time and strength are tested according to the national standard, and special verification is carried out for a negative temperature environment (sodium nitrite and dimethyl sulfoxide are compounded at the temperature of-10 DEG C, and the sand-cement ratio is 1: 1.5) and ocean engineering (the corrosion resistance coefficient K28 is required to be larger than 0.85, and the strength loss is smaller than 15%); microstructural analysis is carried out through XRD / SEM, and the morphology and pore change of ettringite are observed. The prediction method comprises the following steps: establishing a multiple linear regression empirical model based on an orthogonal test to predict the coagulation time; constructing a micro-mechanical model to accurately predict the low-temperature tensile strength; and adopting random forest algorithm machine learning to assist in optimizing retarder combination selection.

The application discloses a method for determining actual constant-pressure combustion temperature of solid propellant by a calorimetric method, and comprises the following steps: calculating the combustion efficiency of the propellant and an initial value of the actual constant-pressure combustion temperature; calculating the average value of the initial value of the actual constant-pressure combustion temperature and a theoretical constant-pressure combustion temperature, and calculating the first iteration combustion efficiency of the propellant; calculating the average value of the first iteration value of the actual constant-pressure combustion temperature and the theoretical constant-pressure combustion temperature, and calculating the second iteration combustion efficiency of the propellant; and the like until the residual error between the nth iteration combustion efficiency of the propellant and the combustion efficiency of the propellant is less than a predetermined value, and the combustion temperature corresponding to the nth iteration combustion efficiency of the propellant is taken as the actual constant-pressure combustion temperature. According to the correlation between the measured constant-pressure explosion heat value, the theoretical constant-pressure explosion heat value, the theoretical constant-pressure combustion temperature and the actual constant-pressure combustion temperature of the propellant, the actual constant-pressure combustion temperature of the propellant is measured by the calorimetric method and the iteration method.

The invention discloses a lithium ion battery thermal characteristic parameter in-situ test method based on isothermal calorimetry. The invention aims to solve the problems of discrete measurement points, long consumed time and the like caused by offline measurement in the existing battery thermal characteristic parameter testing method. The method comprises the following steps: firstly, building a battery isothermal heat measuring device, and providing a thermal characteristic parameter in-situ test method according to an equivalent heat transfer model; secondly, carrying out a charge-discharge experiment on the battery by using a small-rate current, and successively superposing cosine modulation powers with different frequencies in the flexible heating sheets on the upper and lower sides to realize measurement of modulation heat flow in the charge-discharge process; and finally, performing fast Fourier transform, complex plane solution, model parameter identification and other means on the response voltage signal and the excitation current signal under the multi-frequency cosine modulation power to obtain thermal characteristic parameters such as thermal capacity and heat conductivity coefficient of the battery under the whole charge state distribution. According to the invention, the synchronous in-situ measurement of the charge-discharge heat production power, the heat capacity and the heat conductivity coefficient along with the change of the charge-discharge depth of the battery is realized.

This invention relates to the field of engineering thermophysical testing technology and discloses a method for measuring thermophysical parameters in the construction of a multi-phase model for the thawing of frozen coal in trains. The method first obtains the convective heat transfer coefficient of the train body surface as a function of the convective heat transfer coefficient and temperature through wind tunnel experiments and inversion using Newton's law of cooling. Second, it prepares standard frozen coal samples maintaining a multi-phase structure of ice, coal, and air using vacuum freezing sample preparation technology, and then uses a combination of laser flash calorimetry and differential scanning calorimetry to accurately measure the equivalent thermal conductivity, equivalent specific heat capacity, and latent heat of phase change of the frozen coal at low temperatures. Finally, it outputs a complete package of thermophysical parameters. This invention solves the problem of inaccurate thermophysical property measurements caused by the multi-phase characteristics of frozen coal, providing an accurate and reliable data foundation for constructing a high-fidelity thawing simulation model, and significantly improving the accuracy and reliability of simulation design.

The application discloses a kind of regularized constraint heat transfer coefficient dynamic determination method and system.The application introduces sine oscillation in jacket temperature, data is divided into sliding window;Linear model containing low-frequency term and simple harmonic term of the same frequency is constructed in window, and the energy balance equation is established by extracting the same frequency complex amplitude;Further, the least square target function with regularization term is constructed with the estimation value of the previous window as prior, and the non-negative constraint based on the interpolation of the boundary before and after reaction is applied, and the UA dynamic evaluation is realized by cyclic solution.The application effectively decouples non-steady-state drift and noise, suppresses numerical mutation, obtains smoother and more physical law heat transfer coefficient and heat release rate result, and significantly improves the robustness of complex reaction process calorimetry.

A method for thermal safety risk assessment of benzoic acid reduction reaction, comprising: performing thermal stability test on benzoic acid, reducing agent and catalyst; mixing the reducing agent with at least two candidate solvents and performing differential scanning calorimetry test to evaluate compatibility and screen target solvents, and then performing thermal analysis on the reaction liquid of the target system; using a full-automatic chemical synthesis reactor to carry out reaction calorimetry and gas release synchronous characterization, obtaining process data of feeding, heat release, temperature, heat conversion rate and gas, and calculating total heat release, specific heat release, adiabatic temperature rise and MTSR; using an adiabatic accelerating calorimeter to perform secondary decomposition test on the reaction completion liquid to determine Td24 and TMR ad ; comprehensively performing decomposition heat, severity, possibility, risk matrix and process hazard degree assessment, outputting acceptability conclusion and control suggestion; and determining and verifying the thermal stability of the product, realizing thermal safety assessment closed loop.

The invention discloses a liquid-phase organic reaction apparent dynamics modeling method based on a reaction calorimetry, and belongs to the technical field of chemical reaction engineering, and the method comprises the following steps: S10, obtaining a real-time reaction heat release rate in a reaction process, carrying out noise reduction processing on original heat flow data through a data smoothing algorithm, and obtaining concentration data of each component after each group of reaction is finished; s20, analyzing a reaction mechanism and a reaction path according to a reaction type, reaction conditions and reaction process characteristics; establishing a reaction kinetics ordinary differential equation set according to the target reaction formula; and S30, performing global search in the parameter space by taking the genetic algorithm as an optimization framework main body so as to search a parameter combination enabling the target function to be optimal, and obtaining a final optimization result. According to the method, accurate apparent kinetic parameters are obtained, and a model prediction result is highly matched with experimental data, so that a reliable theoretical basis is provided for reaction process optimization, amplification and safety control.

The invention discloses a dynamic evaluation method and system for a UHPC hydration heat regulation effect, particularly relates to the technical field of material thermophysical property testing, and is used for solving the problem of temperature rise curve distortion caused by heat loss compensation delay in the process of measuring UHPC violent hydration heat release by an existing adiabatic calorimetric method. The method comprises the following steps: generating a time-temperature sequence by collecting sample temperature data, obtaining a wavelet energy spectrum entropy sequence through continuous wavelet transform, analyzing a dynamic response relationship of temperature signals at different positions in a high heat release time period to obtain time delay characteristics, and comprehensively judging a temperature rise rate mutation time period according to characteristic mutation and delay characteristic change. And calculating a heat loss compensation deviation based on an actually measured temperature difference, and finally dynamically correcting a temperature sequence to generate an accurate hydration temperature rise curve. The method can effectively identify the measurement deviation caused by the response lag of the instrument, and improves the accuracy and reliability of the hydration heat evaluation result.

This invention discloses a chemical reaction pattern recognition method based on the combined use of infrared spectroscopy and reaction calorimetry. This invention establishes kinetic models for different reaction types based on reaction kinetics principles, improving pattern recognition accuracy and model interpretability while generating massive amounts of infrared spectral and reaction calorimetric data. This avoids experimental costs and time expenditure, providing effective data support for the study of reaction kinetics principles. This invention sets up independent encoders to extract key features for each modality, and further employs a Transformer architecture to achieve cross-modal collaborative perception. Based on deep feature fusion, modal task weight vectors and modal input confidence vectors are generated simultaneously. From the perspectives of the global task and the current sample, the contribution of each modality and the real-time reliability of the input data are evaluated, achieving accurate identification and classification of chemical reaction patterns.

The application provides an automatic control high-temperature-resistant micro reaction pool stirring device, which is used for stirring control of materials in a micro cylindrical reaction pool in a high-temperature furnace chamber of a rapid screening calorimeter of a standard test equipment, and is characterized by comprising a magnetic driving unit, a reaction pool unit and a magnetic adsorption base. The application can effectively eliminate the temperature gradient negative effect from the wall surface and the interface of the materials in the heterogeneous reaction system calorimetric process, and is suitable for a heterogeneous liquid-liquid and liquid-solid reaction system. The application can realize intermittent and semi-intermittent synthesis reaction calorimetry, meet the test requirements of the stirring of the synthesis process sample at high temperature, and expand the application of the rapid screening calorimeter equipment. The electromagnetic stirring device is started by adjusting the rotating magnet connected with the PLC, the motor speed is adjusted by using the computer and the speed knob, the magnetic force of the rotating magnet is controlled, and the stirring sub in the micro reaction pool is driven to rotate.

The present invention provides a continuous-flow dynamic titration calorimeter incorporating microfluidics and machine learning-based correction, and a method for using same. An apparatus comprises: a thermal insulation apparatus, used for accommodating a calorimetric structure, performing thermal insulation on the calorimetric structure, collecting the ambient temperature of the calorimetric structure, and transmitting the ambient temperature to a control and signal processing system; and the calorimetric structure, comprising a material preheating aluminum block and a constant-temperature aluminum block that are arranged at the left and right sides, wherein a material inlet / outlet connection block A is provided in a front slot of the material preheating aluminum block, a material inlet / outlet connection block B is provided in a rear slot of the material preheating aluminum block, a thermoelectric generator sheet A is provided at a front part of the constant-temperature aluminum block, a thermoelectric generator sheet B is provided at a rear part of the constant-temperature aluminum block, and a thin film heating sheet is provided above the thermoelectric generator sheet A. The technical solution of the present invention integrates microfluidics, thermoelectric power-generation measurement, and machine learning-based correction, and provides a low-cost, miniaturized and high-precision continuous-flow dynamic titration calorimetry method.

The invention discloses a reaction calorimetry testing method and device for a high-energy-release continuous reaction system, and belongs to the technical field of chemical safety technologies and engineerings.The method comprises the steps that S10, raw materials are continuously added into a sample reactor, the reaction retention time is controlled through the feeding speed, voltage fluctuation of a blank reactor serves as a base line, and the reaction calorimetry of the high-energy-release continuous reaction system is tested in a constant-temperature mode; a system voltage signal deviation baseline value U in the reaction process is collected in real time; s20, converting the voltage value into a power value P (U) through system setting; and S30, converting the real-time voltage signal deviating from the baseline value U into a power value, and calculating the reaction heat release rate q and the apparent reaction heat Qm when the heat flow of the reaction system is stable. The heat released in the reaction process can be quickly led out, the system temperature is kept stable and constant as far as possible, and the safety of personnel and equipment in the reaction process is ensured.

The invention discloses an online data analysis method and system for fusion radiation quantity heat diagnosis, and belongs to the technical field of nuclear fusion experiments. The method comprises the following steps: firstly, establishing a fusion radiation quantity thermal diagnosis expert rule base based on multi-dimensional parameter data fusion, and creating a paging man-machine interface and a unified canvas framework nested in a home page of the interface; acquiring a current discharge shot number on line, acquiring multi-signal-source time sequence data from a current pulse tree of a remote pulse database, and storing the multi-signal-source time sequence data in a local pulse database; processing and analyzing data according to a diagnosis expert rule, automatically identifying and compensating an abnormal channel of the diagnosis, and calculating the radiation intensity and the total radiation power on line; and finally, integrating and visualizing various signal data under a unified canvas framework. According to the system, an efficient radiation quantity heat diagnosis online data analysis method is realized, and reliable data support is provided for fusion experiments.

The objective is to provide a fluororesin composition that has properties suitable for melt extrusion molding, and that can produce molded articles with high mechanical strength and a low oxygen permeability coefficient. [Solution] A fluororesin composition comprising (A) PFA, (B) a first low molecular weight PTFE, and (C) a second low molecular weight PTFE, wherein the melt flow rate at 372°C is in the range of 1.0 to 5.0 g / 10 min, and in a DSC chart obtained when calorimetry is performed by a predetermined process using a differential scanning calorimeter (DSC), there is an endothermic peak 1 with a peak top in the temperature range of 310°C to 330°C, and an endothermic peak 2 with a peak top in a temperature range lower than that of endothermic peak 1, and the ratio of the heights of endothermic peak 1 and endothermic peak 2 (height of endothermic peak 1 (W / g) ÷ height of endothermic peak 2 (W / g)) is 1 or more and 50 or less.

This invention relates to the field of screening technology for welding materials, specifically disclosing a method for screening indium-containing alloy welding materials. Based on first-principles calculations using density functional theory, high-precision structural relaxation yields the basic phase information of each crystal structure in the TM1-In-TM2 system. The thermal properties of the binary crystal structure in the TM1-In-TM2 system are calculated. Furthermore, combined with the CALPHAD model, a thermodynamic model of the ternary alloy system is established. The stability and eutectic point of the TM1-In-TM2 system are analyzed, and five low-melting-point eutectic indium-containing alloy welding materials are screened out. Differential scanning calorimetry (DSC) is used to experimentally verify the calculated five ternary alloy systems. The hardness and conductivity of some samples are tested using an HV-1000A microhardness tester and a high-precision Seebeck coefficient and resistivity tester. The results show that the calculated values ​​are in excellent agreement with the experimental values. The proportions of the components of each low-melting-point eutectic indium-containing alloy welding material are discovered for the first time, exhibiting advantages such as low melting point, high powder quality, and no adhesion.

1. The name of the design product: calorimeter. 2. The use of the design product: for battery calorimetry. 3. The design points of the design product: in the shape, pattern or combination thereof of the product. 4. The picture or photo that best indicates the design points: perspective view. 5. Other circumstances that need to be explained: A, B, C, D, E are transparent materials.

Provided herein is technology relating to calorimetry and particularly, but not exclusively, to apparatuses, methods, and systems for making high-resolution thermodynamic measurements of reactions between gas phase reactants and nanomaterials. For example, the technology can provide thermodynamic measurements with a high heat flow resolution and long term stability at a wide range of temperatures and reaction pressures. The technology is used, for example, to study the thermodynamics of surface reactions and phase transformations in nanomaterials.

The invention discloses a communication equipment intelligent energy storage and heat dissipation method and system based on precise control, and relates to the technical field of communication equipment energy storage and heat dissipation. Firstly, through a calorimetric method and energy conversion efficiency calculation, the temperature rise of an energy storage type heating unit and a conversion type heating unit in a set time period is precisely evaluated; a to-be-processed unit exceeding a safe temperature threshold value is marked, then through hardware, software and structure optimization heat production design, if the unit does not reach the standard, the passive heat dissipation effect and the active heat dissipation effect are evaluated through simulation software, and for the unit which does not reach the standard in the two modes, the passive heat dissipation is adopted as the basis, and an active heat dissipation cooperation mechanism of real-time temperature monitoring is combined. Through multi-dimensional accurate control, the temperature rise of the equipment is effectively reduced, the heat dissipation efficiency is improved, the stability and the service life of the communication equipment under high-performance operation are guaranteed, and the communication equipment heat dissipation device is particularly suitable for small-sized and high-integration-level communication equipment heat dissipation scenes.

The invention discloses a dynamic experimental analysis method and device based on calibration type flow reaction calorimetry. The method specifically comprises the following steps: firstly, carrying out a flow reaction calorimetric experiment to obtain experimental data, then, carrying out calorimetric analysis to obtain a thermal conversion rate of each section, calculating reaction rate constants of a reaction process under different temperature conditions by utilizing a nonlinear fitting mode, and further, calculating kinetic parameters of the reaction process by utilizing a linear fitting mode. According to the method, additional component detection equipment is not needed, pre-exponential factors and activation energy in the reaction process are obtained through analysis of experimental data under different temperature conditions, dynamic analysis can be carried out while dynamic feeding chemical reaction calorimetric analysis is carried out under the continuous flow process condition, the experimental efficiency is high, and the process is safe.

The present application relates to the technical field of tritium measurement, and discloses a differential heat type tritium storage bed in-situ calorimetry method, a tritium storage bed and a system. The method obtains a non-linear standard calibration curve through a plurality of differential heat type measurement modes. The present application solves the problems of the prior art, such as complicated measurement process operation and low accuracy.

This invention discloses a space-simulated environment variable-temperature photothermal performance testing device based on steady-state calorimetry: the outer layer of the experimental chamber is a vacuum chamber, and the inner layer is a cryogenic chamber, with gas communication between the vacuum chamber and the cryogenic chamber; before testing, the cryogenic chamber is cooled by a cooling device, and the interior of the experimental chamber is evacuated to a vacuum state by a suction device, so that the interior of the experimental chamber meets the testing environment. A sample installation and adjustment unit is used to install and fix the sample to be tested in the cryogenic chamber. A temperature control unit is used to change the temperature of the sample to be tested. A solar radiation simulation unit is used to simulate sunlight irradiation. When the sample to be tested reaches the preset temperature, the data processing unit records the corresponding vacuum level and the output power of the temperature control unit, and calculates the emissivity of the sample to be tested by combining parameters such as the temperature inside the cryogenic chamber and the radiative area of ​​the sample. This invention achieves continuous and simultaneous measurement of full-spectrum hemispherical infrared emissivity and solar absorptivity from 150K to 450K, with a large temperature range and high measurement accuracy.

The invention provides a continuous laser power density distribution measurement system and method based on plate calorimetry, which are used for solving the problems of long training time, high efficiency and the like caused by the situations of frequency spectrum bias, imbalance and discordance among multiple loss functions, high calculation complexity of high-order derivatives and the like when a physical information neural network method is used for solving three-dimensional field inversion. And convergence is difficult. According to the continuous laser power density distribution measurement system based on plate calorimetry, a physical information neural network is introduced, a heat flow generation network and a heat conduction numerical calculation model which share weight parameters are arranged in each circulation unit, a numerical algorithm is fused into a heat conduction physical rule, inversion of heat flow density distribution is achieved, and the measurement accuracy is improved. The accuracy and the stability of complex heat flow field reconstruction are remarkably improved, and the problem of three-dimensional heat flow field inversion when a plate calorimetric technology is applied to continuous laser power density distribution measurement is solved.

The application discloses a modular multifunctional adiabatic calorimetry device and method, which comprises a rack and an adiabatic furnace body arranged on the rack. The adiabatic furnace body is composed of a pressure-resistant closed container and an adiabatic heating furnace cavity arranged in the pressure-resistant closed container. The inner wall of the adiabatic heating furnace cavity is uniformly embedded with heating elements and thermocouples. A furnace cover is detachably connected to the top of the adiabatic furnace body to seal the adiabatic heating furnace cavity. A main control module is arranged in the rack. The adiabatic furnace body is connected with a charge-discharge module, a sensor module and a plurality of optional function modules through a plurality of standardized interfaces arranged on the outer wall. The application integrates various test functions such as heat, electricity, force and gas on one device, realizes the safety performance test of a battery from material to battery cell under a full chain and a composite abuse condition, and avoids the space, cost and data synchronization problems caused by multiple separate devices.

FIELD: medical equipment.SUBSTANCE: device for measuring energy exchange by indirect calorimetry in animals includes a measuring chamber (1), a carbon dioxide absorber (4) and a peristaltic pump (2) for drawing air from the measuring chamber and pumping it into a sensor unit (3). The sensor unit includes a pressure sensor, a temperature sensor, oxygen concentration sensors and carbon dioxide concentration sensors. The sensor unit is connected to a carbon dioxide absorber, which is connected to a measuring chamber. The pressure sensor is connected via a feedback system to the oxygen generator (5), which is connected to the measuring chamber. The oxygen generator, peristaltic pump and sensor unit are connected to a microcontroller (6) to send data from the sensors, as well as automatically calculated values of absorbed oxygen, released carbon dioxide and respiratory quotient as an indicator of energy exchange, to the computer for recording in a file at selected intervals.EFFECT: dynamic assessment of factors influencing the physiology of an animal, with automated calculation of the volume of carbon dioxide released, the volume of oxygen absorbed by the animal per unit of time, and the calculation of the respiratory quotient.1 cl, 4 dwg, 1 tbl

This application discloses a heat exchange controller, system, method, electronic device, and storage medium for titration calorimetry. The heat exchange controller includes: a heat exchange unit; a temperature monitoring unit; and a control unit. The control unit is electrically connected to the heat exchange unit and the temperature monitoring unit. The control unit is used to continuously monitor the temperature of the reaction system through the temperature monitoring unit and repeatedly perform the following operations until a preset termination condition is reached: acquiring a temperature baseline value through the temperature monitoring unit, the temperature baseline value being the temperature of the reaction system in thermal equilibrium before the titration operation; performing the titration operation after the temperature baseline value is acquired; starting the heat exchange unit to exchange heat with the reaction system after the titration reaction ends; and controlling the heat exchange unit to stop heat exchange when the temperature of the reaction system recovers to a threshold range based on the temperature baseline value, i.e., when the reaction system is in a "quasi-isothermal" state.