60 results about "Thermal equilibrium" patented technology

The invention provides a thermodynamic equilibrium simulation analysis method and system, and relates to the technical field of data processing, and the method comprises the steps: 1, building a steam thermodynamic equilibrium model based on the technological parameters of a thermodynamic network; 2, analyzing a thermal distribution state through a steam thermal equilibrium model, identifying an unbalance factor in a process chain, and establishing a four-vertex geometric topological relation among a heat exchanger inlet / outlet, a pressure reduction module and a drain valve process node according to the physical layout of a thermal network; and step 3, based on the dynamic proportion characteristic of the four-vertex geometric topological relation, calculating a thermal correction factor, and adjusting the heat transfer coefficient, the steam pressure and the condensate water temperature parameter of the steam thermal equilibrium model according to the thermal correction factor to obtain the corrected steam thermal equilibrium model parameter. According to the method, through dynamic correction of model parameters and simulation optimization, accurate identification and dynamic regulation and control of thermal unbalance are realized, a closed loop for optimized feedback is formed, and the operation efficiency and stability of a thermal system are improved.

The invention provides a spindle constant-temperature AI closed-loop heat engine system, and relates to the technical field of numerical control machine tool control and heat management. The invention aims to solve the problems of response lag, uncontrollable thermal stress, single heating strategy and the like of the traditional spindle heat engine method. The system comprises a multi-dimensional thermal state sensing module used for constructing a multi-node discrete temperature field representing the overall thermal distribution of the main shaft; the real-time heat balance feedback module is used for judging the cold / hot starting state of the main shaft according to the initial temperature difference and executing a differentiated feedback control strategy; and an AI prediction forward compensation module that predicts a future cutting thermal load by pre-reading a machining instruction and generates a feedforward thermal compensation instruction. According to the method, the thermal stress is controlled by introducing the radial thermal gradient index as the safety constraint, negative precooling or positive preheating is achieved in combination with the AI predictive capacity, a feedback and feedforward composite control mode is formed, and the dynamic thermal stability and the machining precision of the main shaft under the complex working condition are improved.

The invention relates to the technical field of data processing, in particular to an intelligent optimization control method and system for a rectifying tower. The method comprises the following steps: collecting steam quantity, cold quantity and tower plate temperature data at each moment, and clustering historical temperature data of the tower plate temperature data at the current moment to obtain a plurality of clusters; acquiring temperature stability in each cluster, and acquiring a heat balance state index at the current moment according to the temperature stability; the method comprises the steps of obtaining temperature change disturbance controllability in a control period at the current moment, obtaining the number of adjustment iterations of the control period at the current moment according to the change disturbance controllability, and obtaining a predicted temperature value according to the number of adjustment iterations of the control period at the current moment. According to the size relation between the predicted temperature value and the heat balance state index at the current moment, the steam amount and the cold amount at the current moment are adjusted, and the rectification process is dynamically and accurately controlled by predicting the future temperature value.

The invention provides an electrical equipment overheating hidden danger early warning method and system based on unmanned aerial vehicle multi-spectral imaging, and belongs to the technical field of power equipment state monitoring, and the method comprises the steps: firstly obtaining ultraviolet photons and spatial point cloud data collected by an unmanned aerial vehicle; a three-dimensional model is constructed based on the point cloud, and electric field distribution information is obtained through finite element analysis. And the photon data and the electric field information are combined, and the discharge charge quantity and distribution are obtained through space inversion correction. And calculating the discharge current density by using an energy dissipation model, and determining the discharge thermal power loss density in combination with the local electric field. And finally, a steady-state heat conduction equation is solved based on the heat conduction and dissipation parameters, temperature field distribution under heat balance is calculated, and early warning information is generated when the steady-state temperature exceeds a heat-resistant threshold value. According to the invention, early-stage accurate prediction and positioning of the hidden overheating fault of the electrical equipment caused by insulation degradation are realized.

The optimization method of a regenerator based on a local non-thermal equilibrium coupling model belongs to the field of comprehensive performance optimization of regenerators. The implementation method of the present invention is as follows: based on the one-dimensional local non-thermal equilibrium model and the three-dimensional local non-thermal equilibrium model of the regenerator, design variables are calculated and iterated to obtain the local non-thermal equilibrium coupling model of the regenerator; the present invention improves the optimization accuracy of the regenerator by establishing a local non-thermal equilibrium coupling model of the free piston Stirling generator regenerator to replace the previous single idealized model; the regenerator optimization problem is constructed with the objective function including the flow pressure drop and heat conduction loss optimization targets combined with the regenerator performance constraint conditions; according to the regenerator optimization problem, the multi-objective optimization of the design variables of the regenerator is performed under preset working conditions, and the flow resistance loss and heat conduction loss generated by the regenerator are suppressed according to the structural parameters of the optimized regenerator, thereby improving the suppression accuracy and efficiency of the flow resistance loss and heat conduction loss of the regenerator.

The invention provides a refined calculation method for thermal equilibrium of a secondary pipe network. The refined calculation method comprises the following steps: S1, establishing an indoor comprehensive temperature calculation model of a building; s2, an outdoor comprehensive temperature calculation model is established, and time-average calculation optimization is carried out; s3, optimizing an indoor comprehensive temperature calculation model of the building, and eliminating system delay; s4, the theoretical building indoor comprehensive temperature is calculated, whether the building indoor set target temperature is met or not is judged, and pipe network thermodynamic equilibrium adjustment is conducted; and S5, evaluating the thermal equilibrium effect of the pipe network. Data resources of secondary pipe network supply and return water temperature, heating buildings and outdoor meteorological temperature are fully utilized, an indoor and outdoor temperature dynamic calculation model is established through heat balance theory analysis, thermal delay is considered synchronously, a system cooperative adjustment strategy is achieved, and system stability is improved.

The invention discloses a low-temperature liquid storage tank pressure prediction method based on a non-thermal equilibrium state model, and aims to improve the calculation speed of a pressure evolution law so as to reduce the time required for predicting the pressure of a storage tank. The method comprises the steps that firstly, a pressure sensor, a temperature sensor and a liquid level meter are used for collecting the temperature of a current gas phase and liquid phase area of the low-temperature liquid storage tank, the pressure in the storage tank, the vacuum degree of a heat insulation layer and the real-time liquid level; secondly, transmitting signal data obtained by monitoring of the sensor to a processor, and checking the density, phase change latent heat and thermodynamic energy of gas and liquid phases in the storage tank through REFPROP software; then establishing a three-dimensional model and a heat and mass transfer relationship of the storage tank, and performing heat transfer analysis on gas-phase and liquid-phase media in the storage tank; secondly, performing energy analysis on a gas phase region, a liquid phase region and a gas-liquid interface in the storage tank according to the established three-dimensional model and a heat transfer analysis result, and selecting a proper time step to perform iterative calculation so as to ensure the calculation precision of each step; storing the calculation result of the previous step, and searching and taking thermodynamic parameters of the next time step through REFPROP software according to the parameters obtained through calculation; finally, the safe storage time of the storage tank under the current liquid filling volume and the heat insulation performance is calculated, and safe work of the storage tank is guaranteed.

This application proposes a bolt preload measurement system and method based on laser-electromagnetic ultrasound, relating to the field of bolt nondestructive testing. The measurement system includes a laser source, an ultrasonic probe, a signal conditioning module, a temperature module, a loading module, and a data processing module. The laser source generates pulsed laser light. The ultrasonic probe includes a long-axis housing and an electromagnetic ultrasonic transducer unit. The housing contains an incident light path and an outgoing light path. The electromagnetic ultrasonic transducer unit is located inside the housing near the end of the outgoing light path. The signal conditioning module preprocesses the ultrasonic waves received by the electromagnetic ultrasonic transducer unit. The temperature module acquires the bolt temperature in real time. The loading module applies an axial tensile load to the bolt when it is at thermal equilibrium temperature. The data processing module calculates the bolt preload based on the flight time of the preprocessed ultrasonic waves and the tensile load. This application enables non-contact, high-precision measurement of the preload of small-diameter bolts under extreme conditions.

The invention belongs to the technical field of electrical performance test, and particularly relates to an automatic test method and system for an inflatable switch cabinet factory temperature rise test, and the method comprises the steps: obtaining an original test point temperature sequence and an original environment temperature sequence, executing the noise suppression, and outputting a test point temperature observation value sequence and an environment temperature observation value sequence; acquiring a temperature rise evolution rate based on the observed value; the change gradient of the temperature rise evolution rate is analyzed, and convective stationary factors are obtained in combination with the temperature difference; in a preset disturbance observation window, integral accumulation compensation is carried out on the environment temperature change gradient by using a time weighting core, and a balance judgment index is generated through maximum value search; and determining a thermal equilibrium state based on the equilibrium determination index and the convective stationary factor and executing physical closed-loop control. According to the invention, the problem of advanced shutdown caused by judgment artifacts generated by environment temperature drift is solved, and the automation level and the test reliability of a temperature rise test are improved.

The present invention discloses a method for evaluating the temperature rise performance of a drive motor, which relates to the field of motor technology. The evaluation method comprises the following steps: 1. calibrating the output external characteristics of the drive motor; 2. conducting performance tests at different thermal equilibrium temperatures; 3. conducting operating time tests at different torques; and 3. evaluating the temperature rise performance of the drive motor according to the dynamic requirements of the entire vehicle. The method for evaluating the temperature rise performance of a drive motor provided by the present invention provides a scientific and accurate reference basis for the multi-dimensional evaluation of the temperature rise performance of the drive motor by calibrating the external characteristics of the drive motor through performance tests at different thermal equilibrium temperatures and operating time tests at different torques, thereby making the evaluation method applicable to a variety of different operating conditions and meeting the diversified development needs of new energy vehicle application scenarios.

The invention provides a machine tool spindle thermal error modeling prediction and compensation method based on physical-data hybrid drive, and the method comprises the steps: S1, synchronously collecting key position data in a process that a machine tool spindle operates from a cold machine state to a thermal balance state; s2, carrying out collinearity clustering analysis and grey relational degree analysis on the acquired temperature data of the measuring points, and selecting a plurality of sensitive temperature measuring point data; s3, constructing a physical-data hybrid drive neural network model based on a thermal expansion physical equation, inputting the sensitive temperature measurement point data as an independent variable and the corresponding strain data as a dependent variable into a neural network for training, and performing strain prediction; and S4, performing multiple linear regression fitting on strain data predicted by the neural network model and thermal error data acquired by experiments, establishing a thermal error prediction model of the machine tool spindle, and performing thermal error compensation according to a prediction result.

This application discloses a method, device, and medium for dynamic assessment of meteorological and hydrological risks in thermal power systems, relating to the technical field of low-carbon transformation of power systems. The method dynamically couples meteorological and hydrological data of thermal power systems to determine a multi-source meteorological and hydrological data set; employs the second law of thermodynamics and the heat transfer equation to construct a dynamic heat balance equation for the cooling system of the thermal power unit; determines the water intake of the thermal power unit cooling system based on the multi-source meteorological and hydrological data set, the dynamic heat balance equation, and climate and hydrological constraints; determines the available capacity of the thermal power system under runoff and water temperature constraints based on the water intake of the thermal power unit cooling system and the available water resources; establishes a three-dimensional evaluation system based on the available capacity, and, based on the three-dimensional evaluation system, divides and evaluates the meteorological and hydrological risks of the thermal power system to determine the evaluation results. This application achieves a precise assessment of meteorological and hydrological risks in thermal power systems.

The invention provides a long-distance pipeline hydrostatic test innovation method and related equipment, and the method comprises the steps: carrying out the pressure test segmentation of a long-distance pipeline based on the related parameters of the long-distance pipeline, so as to obtain a first-stage pipe section; according to a water filling control condition, the pipe section of the stage is filled with water, so that a pipe section of a second stage is obtained; continuously injecting water into the pipe section in the second stage to increase the pressure of the pipe section in the second stage to thermodynamic equilibrium pressure to obtain a pipe section in a third stage; boosting the pipe section of the third stage to obtain a first detection result and a pipe section of a fourth stage; in response to the fact that the first detection result is qualified, the air existing amount in the pipe section is calculated, and a second detection result and the pipe section of the fifth stage are obtained; performing a sealing test on the pipe section in response to the fact that the second detection result is qualified so as to obtain a third detection result; and if the third detection result is qualified, determining that the quality of the long-distance pipeline is qualified. Through the method, the accuracy of quality detection of the long-distance pipeline can be improved.

The application discloses a kind of wind tunnel model surface friction stress global measurement method, the purpose is to friction stress global measurement, using coating heating mode to heat model surface, after reaching thermal equilibrium, the temperature distribution of model surface is obtained using high-precision infrared thermal imager, at specified position, using mature friction stress local measurement technology to obtain local friction stress, based on the friction stress and temperature distribution along streamline, the friction stress on the whole streamline is calculated;Using mature local friction stress measurement method and high-precision infrared thermal imaging technology to measure global friction stress, the measuring equipment is relatively simple, the model surface is heated by heating coating with constant power, the relationship between friction stress size and local temperature is established, the calculation method is relatively simple, the resolution of friction stress is higher, and the resolution of infrared image is equivalent, other flow field information can be obtained simultaneously.

Embodiments of the present disclosure include systems and methods for reducing a sample complexity and a time complexity associated with noise-robust characterization of a quantum device. A plurality of copies of a Gibbs state of the quantum device in thermal equilibrium at a high-temperature. A plurality of estimates for expectation values of the plurality of copies of the Gibbs state. A plurality of cluster derivatives for a plurality of connected clusters of a low-degree Hamiltonian are calculated. A function is inverted on the plurality of estimates based on the plurality of cluster derivatives and a set of Hamiltonian coefficients are estimated for the low-degree Hamiltonian of the quantum device.

A method for measuring the displacement thickness and momentum loss thickness of a highly compressible turbulent boundary layer belongs to the field of aerospace testing technology. The method comprises: obtaining the boundary layer velocity field distribution for the boundary layer flow field at a specific position of a flat plate model in a continuously operating hypersonic wind tunnel; obtaining the wall temperature distribution after the model reaches thermal equilibrium at a specific position of the flat plate model; utilizing the boundary layer velocity field distribution and wall temperature distribution at a specific flow direction station, obtaining the temperature and density distribution along the normal direction of the flow in the boundary layer by introducing relevant assumptions, and then calculating the displacement thickness and momentum loss thickness based on the temperature and density distributions. The present invention solves the problem of measuring and obtaining the boundary layer displacement thickness and momentum loss thickness in a wind tunnel environment from an experimental perspective.

This invention provides a method and system for transmission line inspection and analysis based on digital twins. The method involves: using a digital twin object identifier as the core, uniformly solidifying the transmission line structure and constructing an initial static line structure model; based on continuously collecting multi-source sensing data and forming a time-series operational observation set, constructing a multi-physics coupled evolution model that simultaneously characterizes icing and melting, thermal equilibrium response, and mechanical evolution; identifying hidden risks by jointly discriminating the state evolution trajectory of key state variables and their historical reference distribution; and conducting parameterized perturbations and multi-scenario simulations to assess operational reliability risks. Finally, the risk development trend is reflected back into the spatial line model, generating forward-looking inspection and analysis results. This invention can perform line inspections on transmission lines that are under long-term alternating thermo-mechanical coupling conditions of icing and melting.

The application discloses a correction method and device for thermal equilibrium temperature in a gas chamber, equipment and a medium, relates to the technical field of gas chamber gas supplementing, and comprises the following steps: constructing a correlation model according to a multi-dimensional parameter sample, a theoretical value and an actual value of the thermal equilibrium temperature corresponding to the multi-dimensional parameter sample, wherein the theoretical value is a thermal equilibrium temperature value calculated by a multi-dimensional parameter space model; and substituting a target gas state parameter of a to-be-supplemented gas chamber, a target gas injection process parameter and a thermal equilibrium temperature calculated by the multi-dimensional parameter space model into the correlation model to obtain a corrected thermal equilibrium temperature of the to-be-supplemented gas chamber. By constructing a correlation model between the multi-dimensional parameters and the model calculation error, the calculation result of the multi-dimensional parameter model is corrected to obtain a more accurate thermal equilibrium temperature in the gas chamber during equipment gas filling, so that the gas filling amount is calculated based on the accurate thermal equilibrium temperature, the calculated gas filling amount is more accurate, and the insulation performance and operation reliability of GIS are ensured.

The application discloses a calculation method and device for thermal equilibrium temperature in a gas chamber based on multi-dimensional parameters, relates to the technical field of gas chamber gas supplementing, and comprises the following steps: constructing a multi-dimensional parameter space model based on gas state parameters and gas injection process parameters of the gas chamber, wherein the multi-dimensional parameter space model is used to calculate the thermal equilibrium temperature in the gas chamber when the gas chamber is filled with gas according to the gas state parameters and the gas injection process parameters; and inputting target gas state parameters and target gas injection process parameters of a gas chamber to be supplemented into the multi-dimensional parameter space model to obtain the thermal equilibrium temperature of the gas chamber to be supplemented calculated by the multi-dimensional parameter space model. Through the construction of the multi-dimensional parameter space model, the real-time calculation of the gas chamber temperature is combined with the multi-dimensional parameters related to the gas chamber, so that the thermal equilibrium temperature in the gas chamber to be supplemented is more accurate, the gas filling amount calculated based on the accurate thermal equilibrium temperature is more accurate, and the insulation performance and operation reliability of GIS are ensured.

The application relates to a method for quantitatively characterizing fluid adsorption on a rock pore surface, comprising the following steps: establishing a molecular simulation initial model based on the molecular structure and physical parameters of the rock and the fluid; giving the molecular simulation initial model an initial velocity and a force field, and starting the movement of the molecules; after the model is in a thermal equilibrium state, recording the coordinate information of each fluid molecule at each time step; taking the rock pore surface Z0 as a starting point, dividing the whole model into n series of cuboid intervals with equal intervals of Delta r along the Z axis; solving the model ensemble average, and then calculating the atomic number density in each cuboid; drawing a fluid atomic number density diagram along the Z axis, and then determining the adsorption layer and the homogeneous phase zone; and calculating the atomic number density ratio in the adsorption layer and the homogeneous phase zone, which is the adsorption capacity of the rock surface to the component. The method can accurately calculate the adsorption capacity of the solid surface, and provides theoretical support for subsequent research on fluid flow mechanism and analysis of flow characteristics.

The application relates to a temperature difference compensation-based detector training method and relates to the technical field of CMOS detector training application, and solves the problems that, in the prior art, a long time is needed from the start of power-on of a detector to the temperature of a camera detector reaching thermal equilibrium and remaining unchanged, the camera efficiency is seriously affected, and the detected jump edge position in the bit correction process does not conform to the actual state, so that the sampling position is not the optimal position, and the like. Firstly, the temperature difference value at the working steady state and the initial working time and the detected jump edge corresponding delay tap value difference are measured, and then the corresponding tap value difference is compensated into the correction formula in the measurement process. In addition, for the application based on a double data rate input register IDDR, the sampling clock edge switching and the judgment of the number of detected jump edges are optimized.

The invention discloses a solid photo-thermal conversion efficiency measuring method and device based on a photoelectric equivalence principle. According to the invention, the photoelectric equivalence principle is utilized, and the heat dissipation property of the solid sample is investigated by simulating the temperature change under the light heating condition through electric heating; the method comprises the following specific steps: firstly, measuring the temperature evolution of a sample in an electric heating process, deriving a heat dissipation coefficient by performing linear fitting during heat balance, then measuring the temperature evolution of the sample in a photo-thermal process under the irradiation of a light source, and further obtaining the accurate photo-thermal conversion efficiency of the sample through a heat balance equation. The method is wide in applicability and suitable for measuring the photo-thermal conversion efficiency of solid samples such as inorganic nanocrystals and organic materials.

The invention provides a fluid transmission equipment fault diagnosis and energy efficiency optimization method and system in order to solve the problem that in the prior art, only surface feature monitoring of a single type of faults is focused, and effective correlation between equipment mechanical operation abnormity, heat balance state change and energy consumption fluctuation is not established, so that fault diagnosis and energy efficiency optimization are separated from each other. The invention relates to the technical field of information. According to the fluid transmission equipment fault diagnosis and energy efficiency optimization method and system provided by the invention, the limitation of single characteristic monitoring in the prior art is broken through by synchronously acquiring the mechanical offset data and the thermal anomaly data; key frequency points and periodic features of equipment stability change are accurately extracted, acute capture of early fine anomalies is realized, and the problem that early hidden danger recognition is insufficient in a traditional method is effectively solved. A deep coupling relation between faults and energy consumption anomalies is established through synchronous analysis of thermal anomalies and mechanical offset data.

The embodiment of the present application discloses a laser annealing method and device. The object to be annealed includes a compensation area and a non-compensation area. The laser annealing method includes: compensating the output energy density value of a laser module when annealing each compensation point in the compensation area, so that the highest annealing temperature of the compensation area is the same as the thermal equilibrium temperature of the non-compensation area. The technical scheme provided by the embodiment of the present application can increase the effective annealing area and improve the device yield.

The application discloses a kind of CNC machine tool feeding system full working condition thermal characteristic dynamic coupling monitoring method, including acquisition machine tool cold state data;Record the steady-state temperature of each measuring point in thermal equilibrium state and screw tail elongation;Collect the temperature of each measuring point, screw tail elongation and positioning error under variable speed, variable load experiment;After shutdown, continue to monitor the cooling curve;Based on Newton cooling law fitting thermal time constant;Range analysis and variance analysis are carried out to orthogonal experiment data of four factors and three levels of temperature, speed, load and stroke, to obtain the priority of each influencing factor;Simulation model is constructed, and experimental data and simulation data are compared point by point, to calculate the average deviation of temperature, deformation and positioning error;If deviation is out of limit, reverse optimization friction coefficient and heat transfer coefficient until high-precision simulation model is obtained;Based on high-precision simulation model, extract experimental difficult-to-measure area data, track global thermal deformation transmission path, generate thermal error compensation table, and guide heat dissipation structure optimization.

This invention discloses a data-driven method and system for optimizing the energy efficiency of waste gas treatment equipment, relating to the field of data processing technology. The method includes: obtaining a multi-point operating data sequence within a window; performing time-series iterative analysis of the window state to determine the operating vector of the window iterative structure's thermal equilibrium state and the constrained operating conditions vector of the window iterative structure; acquiring a pre-constructed distribution model of the high-efficiency operating state of a new three-chamber RTO; performing deviation analysis to determine the state distribution deviation coefficient; performing energy efficiency optimization control analysis of the waste gas treatment equipment to determine the energy efficiency uncertainty coefficient; and determining an energy efficiency optimization scheme for the new three-chamber RTO based on the state distribution deviation coefficient and the energy efficiency uncertainty coefficient. This solves the technical problem in existing technologies where optimization based on equipment operating states is difficult, leading to poor energy efficiency improvement. It achieves the technical effect of adaptive energy efficiency optimization based on equipment operating states, thereby improving the energy efficiency of waste gas treatment equipment.

The invention discloses a non-thermal equilibrium porous medium model numerical simulation method based on a Fluent UDS function. The non-thermal equilibrium porous medium model numerical simulation method comprises the following steps: 1) geometric modeling and grid division; aiming at a research object, constructing a calculation geometric model containing a porous medium domain and a non-porous medium domain; 2) activating the heat balance porous medium model; 3) setting a porous medium resistance parameter; 4) adjusting physical property parameters of the porous medium; 5) constructing a UDS equation; 6) associating the UDS with a solver; 7) setting boundary conditions of the UDS; according to the method for achieving numerical solution of the non-thermal-equilibrium porous medium model based on the Fluent thermal-equilibrium porous medium model and the UDS function, simulation of the porous medium heat transfer process is achieved under the condition that the non-thermal-equilibrium porous medium model of the Fluent is not used.

To improve the calculation efficiency of the thermal equilibrium expectation value of a physical quantity at a finite temperature.SOLUTION: An information processing apparatus 10 expands an imaginary time evolution equation into equations for each of a plurality of degrees, and generates a plurality of sets of degrees obtained by extracting the degrees twice from the plurality of degrees. The information processing apparatus 10, for each generated set, generates a quantum circuit 2 showing a procedure for the quantum calculation of the value of a physical quantity obtained by partial imaginary time evolution based on the equation of the first degree included in the set and the equation of the second degree included in the set. The information processing apparatus 10, for each generated set, makes an output state after the quantum calculation according to the quantum circuit 2 corresponding to the set into an input state in the subsequent quantum calculation, and allows a quantum computer to repeatedly execute the quantum calculation based on the quantum circuit 2 until the value of the physical quantity obtained from the result of the quantum calculation converges. Then, based on the value of the physical quantity after the convergence for each generated set, the information processing apparatus 10 calculates the thermal equilibrium expectation value of the physical quantity at a finite temperature.SELECTED DRAWING: Figure 1

The application discloses a kind of airflow temperature sensor time constant measurement method based on laser positive step excitation, belong to airflow temperature measurement field.The application implementation method is: in wind tunnel constructs normal temperature airflow under thermal equilibrium;Keep the airflow temperature sensor to be measured in the normal temperature airflow of fluid parameter that has been set reaches thermal equilibrium state, open laser, under normal temperature airflow, using continuous laser irradiation airflow temperature sensor's sensitive part, so that the airflow temperature sensor to be measured reaches new thermal equilibrium state, using data acquisition equipment collects the temperature-time response curve of airflow temperature sensor to be measured under laser positive step excitation;Equivalent airflow temperature model is constructed, and the airflow temperature sensor time constant under high-temperature airflow is obtained using the equivalent airflow temperature model, realizes the airflow temperature sensor time constant measurement under laser positive step excitation.The application does not need to heat flow field to high-temperature state, can reduce airflow temperature sensor time constant measurement cost.

The present invention relates to the technical field of high-speed, high-precision CNC machine tools, and discloses a method for designing a fractal heat conduction channel for a machine tool spindle. By simulating and experimentally comparing the maximum temperature and overall temperature distribution of the fractal heat conduction channel with those of a straight heat conduction channel and a structure without a heat conduction channel, it was found that the method of the present invention makes the temperature field distribution in the spindle region more uniform and reduces the maximum temperature. The method is capable of rapidly dissipating the heat generated by the machine tool's main heat source under steady-state conditions, wherein the temperature stabilizes after an initial rapid rise, indicating that the test model has reached thermal equilibrium. Using 95% of the maximum temperature as the criterion, the fractal heat conduction path model and the straight heat conduction path model require approximately 33 minutes and 51 minutes, respectively, to reach steady state. Under the same experimental conditions, the fractal heat conduction path model achieves thermal equilibrium more quickly. Compared with the straight heat conduction path model, the temperature measurement points of the fractal heat conduction path model have lower temperatures at the same locations.