17 results about "Kinetic curve" patented technology

The invention relates to the technical field of material testing, and particularly discloses an intelligent quality detection method and system for a micro-mineral bio-organic fertilizer, local thermal excitation is applied to a fertilizer sample through a micro-area thermal pulse excitation device, a gas release kinetic curve and a spectrum change track are synchronously collected, and a gas spectrum coupling data cube is constructed; performing differential transformation and modal decomposition on the time sequence feature set, extracting transient response feature vectors and generating an activity response distribution diagram; establishing component-activity correlation analysis, and decoupling biological metabolic activity and matrix background interference through feature separation and a comparative learning strategy to obtain a dynamic metabolic fingerprint; constructing a multi-dimensional feature space by using the dynamic metabolic fingerprints and the apparent characteristic parameters, and performing information aggregation and feature reconstruction by using a graph convolutional network to generate a comprehensive quality index; and finally, realizing quality grade judgment based on a quality characteristic pyramid structure, and establishing a dynamic early warning mechanism by analyzing time sequence evolution characteristics of the activity response distribution diagram.

The embodiment of the invention provides a method for determining initial parameters of a transient absorption spectrum kinetics curve, and the method comprises the steps: obtaining an initial absorption point and an absorption attenuation termination point of the transient absorption spectrum kinetics curve, and determining a curve segment between the initial absorption point and the absorption attenuation termination point as a total absorption attenuation interval; carrying out weighting processing on a first-order derivative and a second-order derivative of the transient absorption spectrum dynamic curve to obtain a weighted curvature value sequence; the first N-1 weighted curvature values are selected from the weighted curvature value sequence from large to small, and the total absorption attenuation interval is divided into N absorption attenuation intervals corresponding to curve fitting orders according to sampling points corresponding to the first N-1 weighted curvature values; and determining an initial parameter based on a quantitative relationship of 1 / e of the absorption intensity attenuated to the corresponding interval starting point in each absorption attenuation interval in the exponential fitting model, wherein the quantitative relationship is that the absorption intensity at the interval starting point in each absorption attenuation interval is attenuated to the absorption intensity at the corresponding interval starting point. And the fitting efficiency and accuracy of the dynamic curve are improved.

The invention belongs to the technical field of salt spray tests, and particularly relates to a test device and method for simulating hot corrosion of an engine turbine blade material, and the method comprises the following steps: after a sample is cleaned and dried, a nozzle is controlled by a mechanical arm to atomize a saturated salt solution, and the saturated salt solution is precisely sputtered to the surface of the sample preheated to 300-500 DEG C to form a uniform salt film; the sample is placed in a heating furnace at the temperature of 600-1000 DEG C to be subjected to heat preservation for 50-55 min and then cooled by compressed air for 5-10 min, and cold and hot circulation A corrosion kinetic curve is drawn based on the unit area weight increment, corrosion products are removed through a molten alkali electrolysis method, and the hot corrosion rate is calculated. The device comprises a groove type test bed with a high-temperature-resistant coating, a slit type nozzle driven by a mechanical arm, an infrared heating device and a cold and hot circulation system. According to the method, the salt film is deposited through precise position control of the mechanical arm, the cold and hot alternating working condition is simulated, the problems that a traditional salt coating method is not uniform and a salt leaching method is distorted in environment are solved by combining corrosion dynamics and microscopic characteristic analysis, and scientific evaluation of the corrosion resistance of the aero-engine blade material is achieved.

Systems and methods for non-invasively measuring intracranial in accordance with embodiments of the invention are illustrated. One embodiment includes a method for estimating an intracranial pressure of a patient, including introducing a tracer into the blood of a patient, recording, using an imaging device, the traversal of the tracer through a brain of the patient as a kinetic curve, estimating a mean transit time (MTT) of the tracer through the brain of the patient based on the kinetic curve, measuring a mean arterial pressure (MAP) of the patient, calculating an intracranial pressure index as MAP−Ck / MTT, where C is a constant to scale proportional relationships based on healthy patient population characteristics, and k is a constant in pressure / time, and providing the intracranial pressure index. In various embodiments, regions of the brain unaffected by transient vascular abnormalities are identified and are used for data collection.

Systems and methods for non-invasively measuring intracranial in accordance with embodiments of the invention are illustrated. One embodiment includes a method for estimating an intracranial pressure of a patient, including introducing a tracer into the blood of a patient, recording, using an imaging device, the traversal of the tracer through a brain of the patient as a kinetic curve, estimating a mean transit time (MTT) of the tracer through the brain of the patient based on the kinetic curve, measuring a mean arterial pressure (MAP) of the patient, calculating an intracranial pressure index as MAP−Ck / MTT, where C is a constant to scale proportional relationships based on healthy patient population characteristics, and k is a constant in pressure / time, and providing the intracranial pressure index. In various embodiments, regions of the brain unaffected by transient vascular abnormalities are identified and are used for data collection.

The invention discloses a method for measuring carbide strain-induced precipitation kinetics based on a thermal simulation experiment, and relates to the technical field of alloy steel hot working, and the method comprises the following steps: obtaining stress and time changes of alloy steel in a heat preservation process after deformation at different rolling temperatures in an austenitizing temperature interval; generating a stress and time curve at each rolling temperature according to the stress and time change after rolling; the starting time and the ending time of strain-induced precipitation of the carbide in the heat preservation process of the alloy steel are measured; a carbide precipitation kinetics curve is generated based on the start time, the end time, and the rolling temperature. Therefore, the carbide precipitation starting and ending time can be extracted only by continuously collecting stress and time in the single heat preservation process corresponding to each rolling temperature, heat preservation interruption and sample replacement are not needed, operation is easy, the workload is small, a traceable and comparable time curve can be conveniently formed, and the method is suitable for large-scale popularization and application. Meanwhile, the whole strain-induced precipitation process and the interaction relationship between precipitation and static recrystallization are intuitively reflected.

The application relates to the technical field of hydrogen storage performance calculation and evaluation, and discloses a solid hydrogen storage material hydrogen storage performance calculation and evaluation method and system, which comprises the following steps: using a functional density theory and a molecular dynamics method, constructing a material microcosmic model, and analyzing and designing the mechanical properties, electronic distribution, heat conduction performance and thermal stability of the material itself; calculating the adsorption state and adsorption energy of hydrogen molecules on the hydrogen storage material, and the hydrogen adsorption amount of the material under different pressures and temperatures, so as to calculate the hydrogen adsorption performance of the newly designed hydrogen storage material; and drawing a hydrogen adsorption kinetics curve of the solid hydrogen storage material, so as to calculate and evaluate the hydrogen storage kinetics performance of the material. The system comprises a performance analysis module, a performance calculation module and a performance evaluation module. The application can comprehensively improve the research and development efficiency and hydrogen storage performance of the solid hydrogen storage material in theory and actual application. Each step provides important theoretical support and data basis when solving different technical challenges.

A kind of hot corrosion dynamic calibration method based on nickel-based superalloy coating belongs to the technical field of coating hot corrosion evaluation. First, the same size alumina ceramic piece as alloy coating test piece is used as calibration test piece, and the alloy test piece and calibration test piece are preheated. The same thickness salt film is deposited on the surface of the preheated alloy coating test piece and calibration test piece by using salt coating method, to obtain salt film test piece and salt film calibration piece. Secondly, long period hot corrosion test is carried out above the melting point of salt film, to obtain hot corrosion data of salt film test piece and salt film calibration piece, and to draw the weight change curve per unit area of salt film test piece and salt film calibration piece in the process of hot corrosion. Finally, the volatile amount of hot salt is obtained by salt film calibration piece, and the hot corrosion kinetic curve of salt film test piece is calibrated. The present application can calibrate the kinetic difference caused by hot salt volatilization in the process of hot corrosion, and can realize the evaluation of hot corrosion damage of nickel-based superalloy coating in the environment above the melting point of hot salt.

The embodiment of the application provides a method for determining initial parameters of a transient absorption spectrum dynamic curve, which comprises the following steps: obtaining an initial absorption point and an absorption decay termination point of the transient absorption spectrum dynamic curve, determining a curve segment between the initial absorption point and the absorption decay termination point as an absorption decay total interval; performing weighted processing on a first derivative and a second derivative of the transient absorption spectrum dynamic curve to obtain a weighted curvature value sequence; selecting the first N-1 weighted curvature values in the weighted curvature value sequence in descending order, and dividing the absorption decay total interval into N absorption decay intervals corresponding to the fitting order of the curve according to the sampling points corresponding to the first N-1 weighted curvature values; and determining the initial parameters based on the absorption intensity at the interval starting point in each absorption decay interval in the exponential fitting model, the quantitative relationship that the absorption intensity decays to 1 / e of the absorption intensity at the starting point of the corresponding interval. The fitting efficiency and accuracy of the dynamic curve are improved.

The application relates to the technical field of material testing, and specifically discloses a quality intelligent detection method and system for micro-mineral biological organic fertilizer, which comprises the following steps: applying local thermal excitation to a fertilizer sample through a micro-zone thermal pulse excitation device, synchronously collecting a gas release kinetics curve and a spectral change track, and constructing a gas spectrum coupling data cube; then performing differential transformation and modal decomposition on a time sequence feature set, extracting a transient response characteristic vector, and generating an activity response distribution graph; then establishing component-activity correlation analysis, decoupling biological metabolic activity and matrix background interference through characteristic separation and contrast learning strategies, and obtaining a dynamic metabolic fingerprint; further constructing a multi-dimensional feature space by combining the dynamic metabolic fingerprint with apparent characteristic parameters, adopting a graph convolution network to perform information aggregation and feature reconstruction, and generating a comprehensive quality index; and finally realizing quality grade determination based on a quality feature pyramid structure, and simultaneously establishing a dynamic early warning mechanism by analyzing time sequence evolution characteristics of the activity response distribution graph.

The invention provides a martensite phase transformation kinetics curve prediction method and system based on different austenite grain sizes, and belongs to the field of martensite phase transformation prediction. The method comprises the following steps: carrying out heat treatment on steel to be measured at different austenitizing temperatures, collecting austenite grain sizes at corresponding temperatures, drawing an expansion curve, and calculating to obtain an experimental Ms and martensite phase transformation kinetic curve; constructing an Ms model, and solving parameters in the Ms model; constructing a KM correction equation, solving parameters beta, alpha0, delta alpha and km, averaging, and then calculating T0 values at different austenitizing temperatures; constructing a T0 model, and solving parameters of the T0 model; the KM correction equation, the Ms model and the T0 model are combined to serve as a martensite phase transformation kinetic model; and inputting the austenite grain size into the martensite phase transformation kinetic model, and predicting a kinetic curve. According to the method, the prediction accuracy and precision of the martensite phase transformation kinetics curve are improved, and the application range of the model is expanded.

The application discloses an emulsified asphalt wheel sticking effect evaluation method, equipment and medium, and relates to the technical field of intelligent construction, which comprises the following steps: acquiring a test parameter table, inputting the test parameter table into a microfluidic chip tester for high-throughput testing, and outputting a demulsification kinetics curve and a basic adhesion force data set; combining demulsification process parameters in the demulsification kinetics curve with the basic adhesion force data set to generate a demulsification adhesion coupling data set, constructing a multi-physical field simulation model, and using the demulsification adhesion coupling data set for inversion and calibration to generate a calibrated digital twin model; acquiring construction environment data and inputting the construction environment data into the calibrated digital twin model for automatic multiple simulation calculation to predict wheel sticking risk indexes of different construction schemes; and integrating a construction scheme with the lowest wheel sticking risk index and a safe passing time window to generate an intelligent decision suggestion. The application inverses and calibrates the interfacial energy density through experimental data, and reduces the behavior error of the simulation model and the real material.

The application provides a fuel cell sealing material life test device and an evaluation method, the test device comprises an upper end cover, an upper sealing cover, a lower sealing cover and a lower end cover; the lower sealing cover is provided with a groove for placing a rubber sample block, and the upper sealing cover is provided with a protrusion corresponding to the groove for compressing the rubber sample block; the evaluation method comprises the following steps: placing the test device into a relaxation tester, compressing the rubber sample block by 25%, obtaining stress relaxation rate curves of the rubber sample block under conditions of 120 DEG C, 135 DEG C and 150 DEG C respectively, then obtaining a stress relaxation rate curve of the rubber sample block under a condition of 80 DEG C, taking 50% stress relaxation rate attenuation as a critical value, and obtaining a corresponding life of the rubber sample block under the condition of 80 DEG C. The technical scheme of the application can utilize a stress relaxation device and a kinetic curve method to calculate the life of the sealing material, and complete durability evaluation of the fuel cell sealing material with stress relaxation performance.

An infrared imaging system, and a detection method and apparatus based thereon are provided. The infrared imaging system includes an in-situ reaction cell module, an infrared optical imaging module, and a data processing module. The infrared optical imaging module is configured for acquiring infrared images, while the data processing module is configured to extract kinetic curves therefrom. In gas-solid reaction studies, the kinetic curve is fitted via a predetermined adsorption kinetic equation to determine kinetic and thermodynamic data. For a gas-liquid reaction, the kinetic curve is fitted via a thermal dissipation kinetic equation to ascertain the thermodynamic data.

The application discloses a method, device and computer readable medium for selecting a medicament dosing scheme, which constructs an autoregressive machine learning model based on operation state information of a preset pollutant treatment process under different reaction conditions; on this basis, reaction conditions corresponding to different to-be-tested medicament dosing schemes are taken as model inputs, the model is used to predict corresponding pollutant residual concentration kinetic curves, and the medicament dosing scheme is optimized according to a preset selection rule. Through the machine learning method, the application can accurately find the mapping relationship between the reaction conditions of the pollutant treatment process and the reaction kinetic curves from data, and the accurate and intelligent optimization of the medicament dosing scheme of the pollutant treatment process is realized by using the prediction model in combination with the selection rule.

The application discloses a method for improving the gettering efficiency of crystalline silicon, comprising the following steps: (1) removing the PSG layer after phosphorus diffusion, and testing the phosphorus concentration distribution, the phosphorus diffusion layer depth, the silicon wafer thickness and the metal impurity content ratio before and after gettering; (2) obtaining a first equation by using the continuity equation before and after metal impurity gettering and the existing form of metal impurities in the heavily doped phosphorus layer; (3) substituting each parameter into the first equation to obtain a value related to the segregation coefficient; (4) converting the phosphorus concentration distribution into the depth distribution of phosphorus diffusion with time, substituting into the first equation to obtain a gettering kinetics curve; (5) substituting the influence factor into the gettering kinetics curve to obtain a modified phosphorus gettering kinetics curve for predicting the phosphorus gettering efficiency; and (6) comparing the predicted phosphorus gettering efficiency with the gettering efficiency under the same thermal history in actual production to guide the process optimization of phosphorus gettering. By using the application, the gettering effect can be significantly improved.

The invention discloses an emulsified asphalt wheel sticking effect evaluation method, equipment and a medium, and relates to the technical field of intelligent construction, and the method comprises the following steps: obtaining a test parameter table, inputting the test parameter table into a micro-fluidic chip tester to carry out a high-throughput test, and outputting a demulsification dynamic curve and a basic adhesion force data set; merging demulsification process parameters in the demulsification kinetic curve with the basic adhesive force data set to generate a demulsification adhesion coupling data set, constructing a multi-physical field simulation model, and performing inversion and calibration by using the demulsification adhesion coupling data set to generate a calibrated digital twinborn model; obtaining construction environment data, inputting the construction environment data into the calibrated digital twinborn model, carrying out automatic simulation calculation for multiple times, and predicting wheel sticking risk indexes of different construction schemes; and integrating the construction scheme with the lowest wheel sticking risk index and the safe passing time window to generate an intelligent decision suggestion. According to the method, the interface energy density is calibrated through experimental data inversion, and the behavior error between a simulation model and a real material is reduced.