192 results about "Steady state temperature" patented technology

The invention discloses a cable hot-spot temperature identification method and device, terminal equipment and a storage medium. The method comprises the following steps: acquiring a steady-state temperature field reduced-order model, a cable surface temperature monitoring value and a ground surface temperature monitoring value of a power distribution network cable; obtaining an initial equivalent current based on a preset parameter space; taking the initial equivalent current as input, repeatedly executing an equivalent current iteration adjustment operation through a cable surface temperature monitoring value and a steady-state temperature field reduced-order model, stopping executing the equivalent current iteration adjustment operation when residual data is smaller than a residual threshold or the number of iterations is equal to an iteration threshold, and outputting a final iteration equivalent current; and inputting the iterative equivalent current and the surface temperature monitoring value into the steady-state temperature field reduced-order model to obtain a cable internal transient temperature field reconstruction result of the power distribution network cable. According to the invention, cable current changing in real time does not need to be monitored, the internal temperature field of the cable can be reconstructed only by monitoring the surface temperature of the cable, and the simulation accuracy of the cable temperature field is improved.

The invention relates to the technical field of industrial computer heat dissipation, in particular to an industrial computer memory and storage collaborative heat dissipation system which is used for solving the problems that in the prior art, temperature distribution modeling and state evaluation cannot be achieved, thermal state categories cannot be divided by integrating a temperature threshold value and an operation state, and the equipment health judgment accuracy is reduced. According to the invention, a temperature control monitoring module constructs a thermal field model by using operation state and thermal behavior data, divides hardware units, establishes a heat conduction path, realizes temperature distribution modeling and state evaluation, calculates thermal power density through standardized parameters, and solves steady-state temperature by using a numerical method in combination with boundary conditions and a cooling model. Structured temperature information is output, a temperature threshold value and an operation state are integrated to divide thermal state categories, and the equipment health judgment accuracy is improved.

The invention discloses a cable temperature simulation model construction method and system based on multi-field coupling, and relates to the technical field of multi-physical field coupling simulation and tunnel cables, and the method comprises the steps: constructing a three-dimensional geometric model based on actual cable structure parameters and cable tunnel three-dimensional scanning data; physical field parameters are set for all layers of materials of the cable and peripheral media of the tunnel, boundary heat dissipation conditions are defined, two-dimensional grid division is conducted on the model according to the axial symmetry characteristic of the cross section of the cable, processing frequency load current excitation is applied, electromagnetic field distribution is solved, and a three-dimensional steady-state temperature field control equation is constructed; and solving three-dimensional temperature distribution of the cable and tunnel environment, establishing a bidirectional coupling relationship between an electromagnetic field and a temperature field, and iteratively updating Joule loss power and temperature field distribution by dynamically adjusting conductor conductivity until a convergence condition is met. According to the invention, real-time monitoring and early warning of the temperature along the cable are realized, and detection and response at the initial stage of a fault are ensured, so that the operation safety and reliability of a power system are improved.

The invention provides a multilayer substrate via hole electrothermal coupling model construction method considering temperature change parameter change, and relates to the technical field of microelectronics. Comprising the following steps: constructing a # imgabs0 # lumped parameter equivalent circuit model corresponding to a multi-layer substrate via hole structure according to a size parameter, a material parameter and a multi-layer equivalent circuit network cascade mode of the multi-layer substrate via hole structure; constructing an equivalent thermal circuit model corresponding to the multi-layer substrate via hole structure according to the size parameters, the material parameters and the temperature nodes between the adjacent layers of the multi-layer substrate via hole structure; and connecting the # imgabs1 # lumped parameter equivalent circuit model with the equivalent thermal circuit model by utilizing a hardware description language, and establishing a multilayer substrate via hole electrothermal coupling model, so as to obtain the steady-state temperature of the substrate via hole by utilizing the multilayer substrate via hole electrothermal coupling model. Therefore, the temperature change of the via hole can be accurately obtained, the occupied computing resource + is less, and the computing time is shorter.

The invention discloses a method and a system for predicting a starting transient temperature field of a photo-thermal steam turbine rotor. The method comprises the following steps of: obtaining material setting, contact construction and boundary conditions of the photo-thermal steam turbine rotor to be predicted, and obtaining steady-state temperature field data of the rotor through finite elements; preprocessing the acquired steady-state temperature field data; exporting a steady-state temperature field of the result, converting the steady-state temperature field into steady-state temperature values of all nodes sorted according to node numbers and adding and generating the steady-state temperature values to obtain a steady-state temperature field sequence; and inputting the preprocessed steady-state temperature field sequence data into a preset transient temperature field prediction model to obtain a to-be-predicted starting transient temperature field of the photo-thermal steam turbine rotor. The system comprises a data acquisition module, a data preprocessing module and a prediction module. According to the invention, rapid and accurate prediction of the temperature field is realized, and a rapid decision basis is provided for operation optimization, life calculation and reliability maintenance of the unit.

The invention relates to the technical field of tensioning systems, in particular to a tensioning system oil pressure gauge measurement precision compensation method and device, and the method comprises the steps: building a simulation model of a jack based on the obtained product information and service environment temperature of the jack, and obtaining the steady-state temperature in the jack based on the simulation model; multiple groups of actual measurement data when the jack works are obtained, an oil pressure gauge measurement error compensation model is constructed based on the multiple groups of actual measurement data, and the actual measurement data comprise pressure input of the oil pressure gauge, pressure output of the oil pressure gauge and steady-state temperature in the jack; and performing temperature compensation on the reading of the oil pressure gauge based on the oil pressure gauge measurement error compensation model to obtain the pressure input of the oil pressure gauge when the jack works in real time. According to the invention, non-probing precision compensation of the oil pressure gauge of the tensioning system is realized, and the measurement precision of the oil pressure gauge of the tensioning system is effectively improved.

A thermo-optical plane source (TOPS) technique can be used to measure the thermal conductivity of materials. This high-throughput, simple, and efficient technique measures thermal conductivity with minimal sample preparation and limited restrictions on sample shape and geometry. Moreover, the TOPS technique works on solids, liquids, gels, and pastes with no change in implementation. The TOPS technique uses laser heating to induce a steady-state temperature rise in a material and infrared thermography to measure the corresponding temperature rise. Fourier's law is applied to directly measure thermal conductivity, rather than thermal diffusivity or effusivity, without any need to know the sample's density or heat capacity. It can measure thermal conductivities ranging from 0.05 W m-1 K-1to 60 W m-1 K-1at room temperature.

The invention relates to a three-phase multi-loop tunnel cable core steady-state temperature prediction method and electronic equipment, and the method comprises the steps: building a single-phase single-loop tunnel cable steady-state thermal circuit model, and solving the single-phase single-loop cable core steady-state temperature through the built single-phase single-loop tunnel cable steady-state thermal circuit model; solving the steady-state temperature of the cable core under three-phase single-loop laying by using a correction method; for a single-phase four-loop laying situation, the influence of the mutual heating effect between loop cables on the cable core temperature is merged into mutual heating effect thermal resistance, and the mutual heating effect thermal resistance is introduced into a single-phase single-loop tunnel cable steady-state thermal circuit model to form an improved thermal circuit model to predict the cable core steady-state temperature of a single-phase multi-loop cable; the three-phase multi-loop cable is regarded as a single-phase single loop, and the cable core temperature of the three-phase multi-loop cable is predicted through the combination of a three-phase single loop and a single-phase multi-loop. Compared with the prior art, the method has the advantages of quickly and accurately predicting the steady-state temperature of the cable core of the three-phase multi-loop tunnel cable and the like.

The invention discloses a closed space temperature rise evaluation method and device for a Stirling cylindrical linear motor. The method comprises the following steps: building a motor model; obtaining a fluid domain model of the closed space according to the motor model; performing CFD simulation according to the fluid domain model to obtain a convective heat dissipation coefficient; acquiring loss and heat generation rate of the heat source part; obtaining a first model according to the motor model, the fluid domain model and the loss and heat generation rate; performing steady-state thermal simulation according to the first model based on a first condition to obtain steady-state temperature distribution; the first condition comprises removal of convection heat dissipation of a cylindrical linear motor and a fluid domain contact surface; importing the convective heat dissipation coefficient into the first model to obtain a second model; and taking the steady-state temperature distribution as initial temperature distribution, performing transient thermal simulation according to the second model, and taking a simulation result as initial temperature distribution of transient thermal simulation of a next time step until calculation of a preset maximum time step is completed, so as to obtain the running temperature rise of the motor.

The invention discloses a glue supply integrated processing system, comprising: a heating module for performing dynamic temperature control on glue; the constant-temperature stirring system is connected with the heating module and is used for realizing bidirectional mixing of glue under a constant-temperature condition; the heat-preservation glue storage tank is communicated with the constant-temperature stirring system and is used for stably storing the glue and maintaining the temperature; the intelligent glue supply device is connected with the heat preservation glue storage tank and used for self-adaptive quantitative output of glue; the central control system integrates a temperature sensor, a pressure sensor and a flow sensor. A heating module adopts a PID algorithm and a spiral flow guide circulating water path, the heat exchange efficiency is improved to 85% or above, the glue heating rate reaches 5 DEG C / min, the steady-state temperature fluctuation is smaller than or equal to + / -0.3 DEG C, and the energy consumption is reduced by 25% compared with that of traditional resistance wire heating. The temperature fluctuation in the heat preservation glue storage tank can be maintained to be smaller than or equal to + / -0.3 DEG C at the environment temperature of-10 DEG C to 50 DEG C through the vacuum heat insulation layer and the self-adaptive temperature compensation unit, and the storage stability of glue is remarkably improved.

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 invention provides a steady-state temperature distortion inlet temperature test layout method, and belongs to the field of aero-engine tests, and the method comprises the steps: S10, constructing a temperature field mathematical model of a measurement cross section in a steady-state temperature distortion test and a test layout mathematical model employing a fixed total temperature probe for temperature measurement; s20, temperature field parameters used for describing temperature field distortion characteristics are determined, the relative error sum of the temperature field parameters in the prior flow field and the temperature field parameters at the corresponding coordinates of the test layout is calculated, and therefore the optimization target of the test layout is determined; and S30, taking the circumferential angle of the fixed total temperature probe in the test layout as an optimization parameter, taking the relative error sum of the temperature field parameters as an optimization target, and adopting an optimization algorithm to optimize the circumferential angle of the fixed total temperature probe in the test layout. Therefore, the circumferential optimal angles of the fixed total temperature probes with different circumferential numbers in the steady-state temperature distortion test are obtained. The method is good in convergence and high in calculation precision.

The invention relates to the technical field of high voltage and insulation, in particular to a temperature field distribution calculation method for a high-voltage bushing under a current-carrying defect and a related product, and the method comprises the steps: building a three-dimensional geometric model of the high-voltage bushing, and setting geometric parameters of the model; describing a control equation of high-voltage bushing temperature field distribution; setting boundary conditions and basic assumption of the high-voltage bushing according to the control equation; setting material parameters for the three-dimensional geometric model of the high-voltage bushing, defining a physical field, dividing grids and setting solver parameters; simulation calculation of steady-state temperature field distribution is carried out through finite element simulation calculation software, and temperature field distribution characteristics of the high-voltage bushing under the current-carrying defect are obtained; according to the method, the overall space geometric model of the high-voltage bushing is established, electromagnetic field and heat transfer field control equations are considered, corresponding physical field setting is reasonably selected, mesh generation and solver setting are carried out, and the three-dimensional temperature field distribution characteristics of the high-voltage bushing under the current-carrying defect are obtained through simulation calculation.

The invention discloses a prediction method and a prediction device for the steady-state temperature of a motor stator. The prediction method comprises the following steps: acquiring a plurality of actually measured temperatures of the motor stator in a preset operation period; wherein the duration of the preset operation time period is smaller than the operation duration of the motor stator from the initial temperature to the steady-state temperature; obtaining a prediction model of the prediction temperature and the operation duration of the motor stator; wherein the parameters of the prediction model comprise an initial temperature, a steady-state temperature and at least one constant coefficient; acquiring initial values of the initial temperature, the steady-state temperature and the constant coefficient; according to the prediction model, the initial temperature, the initial temperature, the steady-state temperature and the initial value of the constant coefficient, obtaining a plurality of predicted temperatures in one-to-one correspondence with the actually measured temperatures of the motor stator in the preset operation period; and according to the actually measured temperature and the predicted temperature, determining the predicted value of the steady-state temperature of the prediction model and the optimal value of the constant coefficient. The temperature rise test efficiency can be improved, the energy consumption can be reduced, and the accuracy of the predicted value of the steady-state temperature can be improved.

The invention provides a temperature monitoring method and device in a power transmission line, and relates to the technical field of power transmission lines. The method comprises the following steps: acquiring steady-state temperature data corresponding to a power transmission line in response to a temperature monitoring operation for the power transmission line; according to the steady-state temperature data, constructing a first power transmission line temperature calculation model through a heat balance equation; through a wire through-flow test, if first accuracy corresponding to the first power transmission line temperature calculation model does not meet preset accuracy according to first temperature data calculated by the first power transmission line temperature calculation model, obtaining the influence degree of a plurality of error influence factors on the temperature calculation model; according to the influence degree of the plurality of error influence factors on the temperature calculation model, performing model improvement on the first power transmission line temperature calculation model to obtain an improved second power transmission line temperature calculation model; and performing temperature monitoring operation on the power transmission line in real time through the second power transmission line temperature calculation model if it is confirmed that the second accuracy of the second power transmission line temperature calculation model meets the preset accuracy according to second temperature data calculated by the second power transmission line temperature calculation model through a wire through-flow test. According to the invention, the problems of low monitoring efficiency and low monitoring accuracy caused by analyzing the influence degree of error influence factors on the temperature parameters in the wire by only depending on manual routing inspection which needs to consume a large amount of manpower and material resources to cover the whole network and cannot accurately combine the influence factors in multiple aspects are solved.

The invention discloses a wire temperature-current-carrying capacity coupling prediction method and system considering environmental factor correction, and belongs to the technical field of power transmission lines, and the method comprises the steps: obtaining the steady-state temperature, current-carrying capacity and environmental parameters of a wire, and carrying out the supplementation of missing values; establishing a current-carrying capacity-temperature polynomial equation based on the data after missing value supplementation; state judgment is carried out on the working condition of the wire according to the environment temperature change rate, and wire temperatures in different states are obtained through calculation; and inputting real-time environment parameters into a parameterized model obtained by fitting according to historical data, and jointly substituting into the current-carrying capacity-temperature polynomial equation in combination with the conductor temperatures in different states to obtain the current-carrying capacity. According to the method, the coefficient generation model can be finely adjusted to ensure that the model can adapt to physical characteristic changes caused by factors such as aging and pollution of the line, and long-term prediction precision is kept.

The invention discloses a radio frequency dummy load multi-physical field simulation method, which comprises the following steps of S1, performing electromagnetic characteristic analysis on a radio frequency dummy load wave-absorbing structure, and calculating power loss distribution; s2, importing the power loss distribution into thermal simulation software, performing thermal simulation, and calculating steady-state temperature distribution of the radio frequency dummy load wave-absorbing structure in the oil medium; s3, taking the temperature distribution obtained by thermal simulation as a load, performing structural analysis on the radio frequency dummy load wave-absorbing structure, and obtaining thermal deformation of each part; and S4, introducing the radio frequency dummy load wave-absorbing structure after thermal deformation, updating the material characteristics, performing simulation, and finally obtaining the electromagnetic performance of the radio frequency dummy load wave-absorbing structure influenced by the temperature. By comprehensively considering the interaction of a plurality of physical fields such as an electromagnetic field, a thermal field and a mechanical field, the performance of the radio frequency dummy load in an actual working environment can be simulated more accurately, and potential design problems can be found, so that the design accuracy and reliability are improved.

The invention discloses a compensation thermal resistance regulation and control method applied to relay thermal network modeling, and belongs to the technical field of thermal modeling in an electromagnetic and thermal coupling system. The method is used for solving the problems that a traditional thermal network model is inaccurate in local temperature field prediction and difficult in hot spot recognition in relay thermal analysis. Comprising the steps of S1, establishing a thermal network model of a relay structure; s2, a compensation thermal resistance unit is inserted, and a T-type network is established; s3, solving a two-dimensional Poisson equation to obtain an average temperature; s4, comparing the average temperature with the node temperature in the thermal resistance network; iteratively adjusting the compensation thermal resistance unit until the temperature error of the compensation thermal resistance unit and the compensation thermal resistance unit is within an acceptable range; and S5, the calibrated model is operated, and the steady-state temperature is output. The introduction of the compensation thermal resistance is mathematically equivalent to the addition of a reverse heat flux regulator, so that the node temperature can be approximate to the two-dimensional integral average temperature, the distortion of the thermal network in a local two-dimensional region is effectively corrected, and the reflection capability of the model to local hot spots and temperature gradients is remarkably improved.

The invention relates to the technical field of nanofluid enhanced heat transfer simulation, in particular to a molecular dynamics-based mixed nanofluid heat transfer characteristic analysis method, which comprises the following steps of: constructing a molecular model comprising copper, graphene nanoparticles and an ionic liquid / water mixed base solution, and calculating the heat transfer characteristic of the mixed nanofluid through a distribution potential function and a periodic boundary condition; and performing energy minimization and molecular dynamic relaxation to achieve thermodynamic equilibrium. A steady-state temperature gradient is established based on the unbalanced molecular dynamics principle, and the thermal conductivity is calculated according to the Fourier law. Microcosmic parameters such as a radial distribution function, mean square displacement and the number of hydrogen bonds are synchronously analyzed, and a coupling mechanism of interaction and heat transfer performance of the nano-particle-base fluid interface is disclosed. According to the method, the heat transfer characteristic of the mixed nanofluid can be clarified on the molecular scale, and an efficient and reliable analysis means is provided for nanofluid screening and design in application of a solar heat collector, a heat management system and the like.

The invention provides a temperature compensation method for a pressure sensor, and the method comprises the steps: applying a plurality of known pressures to the pressure sensor at a plurality of steady-state temperatures, and collecting the corresponding output voltages of the pressure sensor at the steady-state temperatures and the known pressures; determining a reference parameter of the pressure sensor for temperature compensation according to a mapping relation among the steady-state temperature, the known pressure and the output voltage; in the real-time working process of the pressure sensor, environment temperature data of the pressure sensor are continuously collected at a preset frequency, and a temperature sequence is formed; predicting a temperature change trend in a future time period according to the temperature sequence; based on the output voltage, the temperature change trend and the reference parameters of the pressure sensor at the current moment, the pressure value after dynamic temperature compensation is obtained, the hysteresis of traditional static temperature compensation during dynamic temperature change is effectively overcome, and the measurement precision and the dynamic response capability of the pressure sensor under the complex temperature change working condition are remarkably improved.

The invention relates to an environment-friendly switch vacuum arc-extinguishing chamber contact temperature monitoring method and system based on surface acoustic wave array sensing and inversion, and belongs to the field of electrical monitoring. In order to solve the problem that in the prior art, non-intrusive and high-reliability monitoring of the contact temperature of the vacuum arc-extinguishing chamber is difficult to realize due to vacuum sealing and metal shielding, the technical scheme of the invention is as follows: an acoustic surface wave sensor array comprising three or more sensing nodes is constructed on the outer wall of the vacuum arc-extinguishing chamber, and the longitudinal temperature gradient distribution of the outer wall is captured in a lossless manner. A narrow-band flat-plate reader antenna is adopted to realize array signal parallel transmission with a high signal-to-noise ratio, and the steady-state temperature of an internal contact is accurately inverted through a pre-trained physical information neural network (PINN) model by utilizing multi-source data fusion and array characteristics. According to the method, a non-intrusive monitoring function from external sensing to internal deduction is realized, the problem that the temperature of the contact cannot be measured in a high-voltage closed environment is solved, and a key technical support is provided for safe operation of environment-friendly switch equipment.

The invention discloses an infrared simulation method and system based on a neural network and GPU parallel computing, and belongs to the field of infrared simulation. Fitting an all-weather atmospheric transmittance and a radiation value received by the earth surface by using an atmospheric model; preprocessing the infrared simulation data, and calculating a patch shielding probability value and a patch temperature value in a simulation scene by using a distributed GPU parallel framework; wherein the number of sampling points is dynamically adjusted through an adaptive patch sampling method in combination with the geometric area and complexity of a patch so as to calculate a patch shielding probability value, and the patch shielding probability value is introduced when a patch temperature value is calculated; and optimizing the surface patch temperature value to obtain a surface patch steady-state temperature value, calculating the radiation brightness of a specified wave band according to the surface patch steady-state temperature value, and finally rendering to obtain an infrared simulation image of a specified view angle under the specified wave band. The method solves the problems that in the prior art, radiation value and temperature field calculation is complex, shielding calculation efficiency is low, heat conduction simulation capacity is insufficient, and self-adaptive sampling is not fine enough.

The invention relates to the technical field of circuit breaker detection, in particular to a phase state detection display method and device of a double-contact circuit breaker. The method comprises the following steps: firstly, acquiring frequency data of mechanical actions, temperature data and current waveforms during opening and closing; further obtaining a mechanical wear coefficient according to the total frequency of the mechanical actions and the frequency of the recent mechanical actions; further analyzing the current waveform in the latest opening and closing process to obtain the current wave crest performance abnormality and the current fluctuation abnormality; the abnormal performance of the heating rate and the steady-state temperature is further analyzed, and the current temperature abnormal degree is obtained; and finally, detecting and displaying the state of the double-contact circuit breaker in combination with the current mechanical wear coefficient, the wave crest performance abnormality, the current fluctuation abnormality and the temperature abnormality. The gradual change degradation condition of the double-contact circuit breaker is comprehensively predicted from multiple angles of mechanical wear, current waveform abnormal performance and temperature abnormal performance, and the potential abnormal fault problem of the double-contact circuit breaker is identified in time.

The invention discloses an IGBT temperature field calculation method, system, medium and equipment based on data driving, and the method comprises the steps: building a finite element thermal model based on the geometric structure and material thermal parameters of an IGBT module; simulating steady-state temperature field distribution under each working condition by using a finite element thermal model, and constructing a multi-working-condition training data set comprising input variables and corresponding temperature field output; constructing a main network-branch network neural network model, and training the main network-branch network neural network model by using the multi-working-condition training data set; inputting the power loss value and heat dissipation parameters measured in real time into an IGBT temperature field prediction model to obtain an initial temperature field prediction result; updating the power loss value according to the initial temperature field prediction result, and inputting the updated power loss into the IGBT temperature field prediction model again for a new round of temperature field prediction; and repeatedly executing until the power loss difference value between two adjacent iterations is smaller than a preset convergence threshold value, stopping iteration and outputting a final steady-state temperature field.

The invention discloses an inflow temperature calculation method and device for a coupled oil reservoir-wellbore model.The inflow temperature calculation method comprises the steps that firstly, for an oil reservoir grid corresponding to a wellbore section, a radial flow area from the equivalent radius of the oil reservoir grid to the well wall is defined; secondly, a radial steady-state temperature second-order ordinary differential equation describing temperature distribution in the area is established, and the equation comprehensively takes heat convection, viscous dissipation caused by pressure gradient, Joule-Thomson effect, heat conduction and other micro heat effects into account; thirdly, setting boundary conditions for coupling the oil reservoir and the wellbore state for the equation; and finally, solving the equation with complete configuration to obtain radial temperature distribution, and determining the temperature at the well wall as the accurate inflow temperature. Compared with the prior art, the method has the advantages that the inflow temperature model with more complete mechanism and more accurate solution is established, so that the accuracy and reliability of output profile inversion interpretation are remarkably improved.

The present application provides a method and device for judging the type of point temperature rise defect of a composite insulator based on the curve of the surface temperature of the composite insulator changing with time. Only by adding a blowing device on the basis of the original infrared temperature measurement technology, a disturbance is given to the steady-state temperature field where the composite insulator is located. After a period of time, the disturbance is withdrawn, and the data of the temperature of the composite insulator changing with time after the disturbance is withdrawn is recorded and analyzed to distinguish whether the point temperature rise phenomenon of the composite insulator is caused by the heat generation at the interface of the core rod and the sheath or by the heat generation on the surface layer of the sheath.

The application discloses a kind of closed space temperature rise evaluation method and device of Stirling with cylindrical linear motor, method includes: building motor model;According to the fluid domain model of closed space obtained from motor model;According to the convection heat dissipation coefficient obtained by CFD simulation of fluid domain model;Obtain the loss and heat generation rate of heat source component;According to motor model, fluid domain model and loss and heat generation rate, obtain first model;Based on the first condition, steady-state thermal simulation is carried out according to first model, and steady-state temperature distribution is obtained;First condition includes eliminating the convection heat dissipation of cylindrical linear motor and fluid domain contact surface;The convection heat dissipation coefficient is introduced into first model, and second model is obtained;With steady-state temperature distribution as initial temperature distribution, according to second model, transient thermal simulation is carried out, and simulation result is used as initial temperature distribution of next time step transient thermal simulation, until the calculation of preset maximum time step is completed, and the motor operating temperature rise is obtained.

The invention provides a rolling linear guide rail numerical analysis method and system based on comprehensive error import, and belongs to the technical field of rolling linear guide rail thermal coupling parameter numerical analysis. Comprising the following steps: firstly, uniformly converting a comprehensive error into a ball and raceway interference magnitude parameter to calculate a comprehensive interference magnitude, solving a normal load borne by the ball based on a normal load formula, and further determining the heat flux density of a contact area of the rolling linear guide rail and a convective heat transfer coefficient of each surface; then, a steady-state temperature field is solved by constructing a heat conduction model of the rolling linear guide rail; and finally, constructing a structural finite element model consistent with the node number in the heat conduction model, and importing a steady-state temperature field to carry out finite element numerical analysis. According to the method, the rolling linear guide rail load deformation parameters better conforming to the actual working conditions can be obtained, and the calculation accuracy of the rolling linear guide rail value is improved.

The invention discloses a vacuum circuit breaker conductive loop temperature rise simulation optimization method, which comprises the following steps of: obtaining structure parameters of a circuit breaker, identifying a temperature rise sensitive area and constructing a simplified geometric model and a grid model; establishing a multilayer coating equivalent model and a contact resistance analytical model based on the coating parameters and the surface roughness, and determining initial contact parameters; constructing an electro-thermal coupling multi-physical field simulation model, executing bidirectional coupling iteration solution of a current field and a temperature field, and dynamically correcting the resistance value of the contact resistance analysis model according to the current temperature field distribution in the iteration process until a convergence condition is met; and outputting a steady-state temperature field and determining an optimal process scheme. According to the method, the temperature-load coupled contact resistance dynamic evolution model is established, so that the problem of prediction deviation caused by neglecting of contact surface microstructure dynamic change in traditional simulation is solved, and the temperature rise calculation precision is improved.

The application discloses a high-heat-consumption SiC MOSFET power device thermal analysis method based on a finite element method, which comprises the following steps: step 1, loading material information; step 2, three-dimensional modeling, modeling according to the three-dimensional size and arrangement position of each component to obtain a three-dimensional model; step 3, model correction, performing arc processing and simplification processing on the edges and corners of the three-dimensional model; dividing a calculation grid based on the simplified model; step 4, setting, setting the material properties of each part of the simplified model; setting the boundary conditions of the simplified model; step 5, obtaining a steady-state temperature, selecting a solid heat transfer physical field model, and using a finite element numerical method of a heat conduction equation to obtain the steady-state temperature of the high-heat-consumption SiC MOSFET power device to be analyzed. The application can more efficiently calculate the working steady-state temperature of the high-heat-consumption SiC MOSFET power device, and the simplified SiC MOSFET model used can improve the calculation speed while meeting the engineering error requirement.