280 results about "Heat transfer process" patented technology

The invention provides a method for evaluating submarine natural hydrogen distribution and reserves, and relates to the field of submarine hydrogen energy exploration. A solution for evaluation through a numerical simulation means is provided in combination with a seabed natural hydrogen favorable zone, and before seabed observation, a potential distribution area is researched based on abnormal characteristics in combination with numerical simulation to determine a favorable target, so that the research purposes of effectively reducing exploration cost and improving detection accuracy are achieved. For the determined serpentine region, simulating material migration, deformation and heat transfer processes by constructing a continental and ocean region lithosphere model so as to obtain a mantle peridotite serpentine process and a corresponding relation between mantle peridotite serpentine and hydrogen production; through carrying out typical profile analysis on a plurality of construction units, the relationship between the crustal thickness and the serpentine quality in different environments is constructed, and finally, the distribution and the resource quantity of seabed hydrogen in a determined area are predicted.

The invention discloses a rock-soil temperature field rapid solving method suitable for a ground source heat pump system, and the method comprises the steps: firstly building a three-dimensional unsteady-state heat transfer model in consideration of a buried pipe coaxial structure, a porous arrangement form and the characteristics of a multilayer heterogeneous soil body in the ground source heat pump system; then simulating a thermal response process by using the model, constructing a multi-domain coupled thermal conduction augmentation matrix, performing POD on the matrix, extracting a dominant mode function of a temperature field, and constructing a low-dimensional POD-based mode space; and finally, constructing a POD-Galerkin low-order model, simulating a buried pipe group soil temperature field, performing inversion of a heat source function, and outputting stratum thermophysical parameters. According to the method, the calculation efficiency and the simulation precision of the porous coupling and long-period unsteady state heat transfer process are remarkably improved, the problem that traditional finite element and finite difference methods are high in time consumption in porous strong coupling modeling is solved, and rapid prediction of the soil temperature and robust recognition of the heat source function under a complex stratum and a heat exchange structure can be achieved.

According to the transition prediction method suitable for the wide Mach domain of the high-speed aircraft provided by the invention, temperature and Mach number coupling correction is performed on key parameters in time scale modeling of a second mode of a transition mode, and simplified processing of a flow compression effect and a heat transfer process by traditional single parameter association is broken through; the influence of an incoming flow disturbance effect is embedded in the mode, and dynamic association between test environment parameters and transition triggering criteria is achieved; according to the improved mode, accurate prediction results are obtained on a plurality of examples with the Mach number range of 4.7-14, the research results provide a more reliable theoretical tool for aerodynamic configuration optimization of a high-speed aircraft with a wider speed range, and the method has important engineering guiding significance for thermal protection system design of a new-generation reusable aircraft.

The present application provides a dynamics analysis method for an ammonia combustion refrigeration system in large park cooling. The method comprises: on the basis of a geometric structure of an ammonia combustion chamber and a fuel supply amount, calculating the heat generated by ammonia combustion and analyzing the heat transfer mode between the combustion chamber and a desorption tower, the heat transfer mode comprising direct contact type heat transfer and partition type heat transfer, and simulating the heat transfer process to obtain and draw the heat flux distribution of the tower wall surface; on the basis of the flow state and a relationship curve between the pressure drop and the flow velocity, analyzing the desorption process of a refrigerant in a solution, and on the basis of the concentration of the solution, a boiling point of the refrigerant, and the vapor pressure, calculating local desorption rates at different positions in the desorption tower and the refrigerant vapor generation amount; and on the basis of the heat flux distribution, calculating the temperature distribution of the solution, and analyzing the heat transfer and mass transfer processes in the desorption tower to obtain a local heat transfer coefficient and the mass transfer efficiency distribution of the surface of a filler.

The invention particularly relates to a real-time monitoring method and system for a boiler flue gas waste heat recovery device, and relates to the technical field of boiler energy saving and monitoring. A heat transfer process mechanism modeling and reference relation building module; a dynamic heat transfer coefficient multi-field coupling optimization module; and a scaling evolution intelligent monitoring and early warning decision module. According to the invention, standardization processing of the multi-source heterogeneous data acquisition module is combined with heat transfer mechanism modeling to construct a reference framework, and deep fusion of a physical model, an LSTM neural network and Kalman filtering is realized through the dynamic heat transfer coefficient multi-field coupling optimization module, so that the limitation that physical model simplification and data driving lack mechanism support in traditional monitoring is broken through; complex working conditions such as multiphase flow interference and dust deposition abrasion are accurately covered by calculation of the dynamic heat transfer coefficient, the health state of equipment can be fed back in real time through corrected parameters, and abnormity can be rapidly recognized.

This invention provides a hydrogen-heated solid-state hydrogen storage device and a solid-state hydrogen storage system. The solid-state hydrogen storage device includes a hydrogen inlet, a hydrogen diffusion section, several reaction tubes, a hydrogen collection section, and a hydrogen outlet. The first end of each reaction tube is connected to the hydrogen diffusion section, and the second end of each reaction tube is connected to the hydrogen collection section. A vent pipe is installed inside each reaction tube, and hydrogen storage material is filled between them. The increased volume due to the expansion of the hydrogen storage material can be absorbed by the deformation of the vent pipe. The solid-state hydrogen storage system consists of the aforementioned hydrogen storage device, a heater, a cooler, a circulating fan, and circulating pipelines. In the solid-state hydrogen storage device provided by this invention, hydrogen directly exchanges heat with the hydrogen storage material, improving the mass and heat transfer process and increasing the system's heat exchange efficiency.

The invention discloses a construction method of an underground heat exchange model of a U-shaped middle-deep layer buried pipe. The construction method comprises the steps of collecting monitoring data of underground heat exchange of a preset buried pipe, preprocessing the monitoring data, and constructing a physical model of the underground heat exchange of the U-shaped middle-deep layer buried pipe based on the monitoring data; soil temperature distribution and wall temperature are obtained based on the physical model according to the heat transfer process outside the drill hole, and the water temperature at the next moment is obtained based on an energy equation of circulating fluid according to the heat transfer process inside the drill hole; performing underground temperature field evolution simulation analysis on the basis of the mathematical model of the soil temperature distribution, the wall temperature and the water temperature at the next moment to obtain simulation data, and constructing a U-shaped medium-deep buried pipe underground heat exchange model on the basis of underground temperature field evolution simulation; time sequence deviation analysis is conducted on the simulation data and the monitoring data to obtain time deviation data, the U-shaped middle-deep layer buried pipe underground heat exchange model is optimized according to the time deviation data, and a target model is output.

The invention discloses a buried pipe temperature response calculation method considering underground water seepage and ground temperature gradient, and belongs to the field of building environment and energy application engineering.The buried pipe temperature response calculation method comprises the steps that a shallow buried pipe heat exchanger is regarded as a finite long-line heat source model, and when underground water seepage passes, the shallow buried pipe heat exchanger is regarded as a finite long-line heat source seepage model; an energy control equation containing a soil heat conduction item, an underground water seepage convection item and a ground temperature gradient correlation item at the same time is established, and initial temperature distribution based on ground temperature gradient, ground surface fixed wall temperature and boundary conditions of an underground limited boundary are set; and finally, obtaining an analytical solution expression of the change of the temperature at any position of the underground soil along with the time through analytical solution. According to the method, the defect that a traditional model ignores key environmental factors is overcome, the heat transfer process of heat conduction and convection coupling can be accurately simulated, the accuracy of temperature field prediction and the reliability of long-term performance evaluation are remarkably improved, meanwhile, the complexity of numerical calculation is avoided, and the calculation efficiency is improved.

The invention provides a method for calculating the inner wall temperature based on the condensation heat transfer process of a blast furnace gas pipeline. The method for calculating the temperature of the inner wall based on the condensation heat transfer process of the blast furnace gas pipeline comprises the following steps: S1, calculating the thermal resistance of convective heat transfer between the inner wall of the gas pipeline and blast furnace gas; s2, calculating the thermal resistance of heat conduction between the gas pipe walls; s3, thermal resistance of convective heat transfer from the outside of the gas pipeline to the outer wall of the gas pipeline is calculated; and S4, calculating the corrosion temperature of the inner wall surface of the blast furnace gas pipeline according to the total thermal resistance, the blast furnace gas temperature and the environment temperature. According to the method for calculating the inner wall temperature based on the condensation heat transfer process of the blast furnace gas pipeline, the heat resistance of each part of the blast furnace gas in the heat transfer process is calculated on the basis of the heat convection and heat conduction process, and the scientific and systematic method for calculating the inner wall temperature of the blast furnace gas is established; the corrosion condition of the blast furnace gas pipeline can be conveniently predicted, and the safe operation of the blast furnace gas pipeline can be monitored.

The invention discloses a thermal power generating unit coordination control data and mechanism hybrid modeling method and device, computer equipment and a computer readable storage medium, and relates to the technical field of thermal energy engineering and power system modeling and control. Establishing a high-precision dynamic mechanism model of the working medium flow and heat transfer process of the boiler-steam turbine system; then, constructing an error correction model fusing the long-short-term memory network, the convolutional neural network and residual connection; and finally, fusing the mechanism model and the error correction model through parallel computing to form a dynamic hybrid model with physical interpretability and high precision. Through the hybrid modeling strategy, the prediction accuracy of key parameters such as the main steam pressure, the separator outlet steam enthalpy value and the unit load in the wide load range, especially under the dry-state operation working condition is remarkably improved, and a reliable model basis is provided for designing an advanced unit coordination control system.

The invention relates to the technical field of self-baking electrodes, in particular to an alternating-current variable-frequency self-baking electrode baking state prediction method for an iron alloy submerged arc furnace, which comprises the following steps: acquiring input parameters of a self-baking electrode, and simplifying an electromagnetic field and a heat transfer process related to the self-baking electrode into a two-dimensional axial symmetry state; constructing an electromagnetic field mathematical model, and obtaining expressions of the magnetic field intensity and the current density of the self-baking electrode; constructing a temperature field mathematical model of the self-baking electrode of the submerged arc furnace and an expression of electrode pressure release time; a finite volume method is utilized to discretize an electromagnetic field mathematical model and a temperature field mathematical model, and on the basis of input parameters and electromagnetic thermal boundary conditions, an implicit solution method which is good in convergence and stability and can achieve a large grid size is adopted to solve the magnetic field intensity, the current density, the temperature distribution and the electrode pressure release time of the self-baking electrode. The method can accurately and quickly predict the electrode pressure release time, and effectively reduces the roasting control cost of the self-roasting electrode of the submerged arc furnace.

The invention relates to the technical field of heat exchanger design, and provides a supercritical LNG heat exchanger design method and system.The method comprises the steps that A, a wing-shaped fin spoiler is adopted to be installed in a PCHE channel, an internal spoiler structure matched with the channel is formed, and the heat transfer performance of a supercritical LNG mixed working medium is enhanced; b, by adjusting the heat transfer process of the mixed working medium in the channel, the heat transfer performance and the flow resistance of the mixed working medium in the channel of the PCHE are balanced; c, regulating and controlling operable parameters through a multi-objective numerical optimization technology so as to balance the channel internal heat transfer performance and flow energy consumption of the PCHE; wherein the operable parameters are used for directly regulating and controlling the heat transfer and flow process in the PCHE channel. According to the invention, the average wall temperature can be reduced by 2.24% through the wing-shaped fin structure, and the increase of the pressure drop in the PCHE channel is controllable.

The invention relates to a temperature control method of cooking equipment, on one hand, non-contact, non-intrusive, global and high-resolution perception of a temperature field of a target area in a cavity of the cooking equipment is realized by collecting multi-source temperature data and reconstructing temperature distribution of a reference temperature measurement plane parallel to a heating array; the problem of inaccuracy caused by dependence on finite point temperature measurement or simple coefficient estimation is solved; on the other hand, temperature deviation is calculated by coupling reconstructed temperature distribution and side wall temperature data, power is decided in combination with heat transfer characteristics in the normal direction of the heating array, accurate modeling and dynamic compensation of the heat transfer process in the three-dimensional space are achieved, and therefore the inherent temperature difference between the center and the edge of the cavity can be eliminated in a targeted mode; energy transfer loss caused by thermal resistance can be compensated; finally, through the step of independently controlling each heating unit according to the target power, a highly uniform and stable temperature field can be formed and maintained in the whole cooking process.

The invention discloses an IGBT module junction temperature prediction method and system based on an LSTM thermal neural network, and belongs to the technical field of IGBT application. Comprising the following steps: analyzing the unsteady state heat transfer characteristics of multiple layers of materials in the IGBT module, and constructing a discrete heat transfer (DHT) equation; a training data set containing temperature response data under different power loss conditions is generated through finite element FEM simulation; constructing an LSTM thermal neural network junction temperature prediction model embedded into a physical layer, wherein the physical layer comprises a sub-neural network to extract a mapping relation between input features and thermal resistance and thermal capacity; and training the model by using the training data set, and converting the DHT equation as a physical constraint into a model parameter dynamic constraint condition, thereby realizing prediction of the junction temperature of the IGBT module under different operation conditions. According to the method, the physical heat transfer process and the LSTM network are fused, limitation of an existing method is overcome, accurate and rapid prediction of the junction temperature of the IGBT module is achieved, and reliability and economical efficiency of thermal management of the IGBT module are effectively improved.

The utility model discloses a battery device and an electric device. The battery device comprises a plurality of single batteries, a composite heat insulation pad is arranged between every two adjacent single batteries, each composite heat insulation pad comprises at least one first heat insulation layer and at least one second heat insulation layer, and the first heat insulation layers and the second heat insulation layers are alternately stacked. The first heat insulation layer is a ceramic fiber heat insulation layer or an aerogel heat insulation layer, and the emissivity of the second heat insulation layer is smaller than or equal to 0.3. The first heat insulation layer can play a better role in insulating heat conduction and heat convection; in the heat transfer process, besides heat conduction and heat convection, the form further comprises heat radiation, the higher the temperature is, the larger the radiant heat proportion is, the emissivity of the second heat insulation layer is low, most of the radiant heat can be isolated, the second heat insulation layer and the first heat insulation layer are structurally compounded, the total heat of heat transfer between the battery monomers can be reduced, and the heat transfer efficiency is improved. Therefore, the risk of thermal runaway of the battery device is reduced.

The invention discloses a multi-scale bidirectional coupling sweating cooling simulation method which comprises the following steps: firstly, on a mesoscale, constructing a mesoscopic flow model, simulating flow of a coolant, and obtaining parameters such as porosity, permeability and inertia coefficient of a porous medium; introducing the obtained parameters into a porous medium panel area of a thrust chamber geometric model constructed under a macroscale to realize cross-scale parameter coupling; the flow and heat transfer process in the thrust chamber geometric model after cross-scale parameter coupling is simulated, and the speed, pressure, temperature and local heat flux density distribution of a combustion chamber and a porous medium panel area under the macroscale are obtained; and taking the local heat flow density as a new wall surface boundary condition, capturing the flow and heat transfer characteristics of a coolant in pores under a thermal state working condition based on the mesoscopic flow model, and further evaluating the overall cooling performance and the thermal protection effect of the porous medium panel. Through coupling calculation of the mesoscopic pores and the macroscopic combustion chamber, the accuracy and reliability of prediction of the cooling performance of the porous medium are improved.

The invention relates to the technical field of building carbon emission measurement and calculation, and provides a building envelope structure carbon emission dynamic measurement and calculation method which comprises the following steps: step 1, area delimitation: dividing building areas, and combining the same kind of building areas; step 2, individual enclosure structure collection: the unmanned aerial vehicle is used for aerial photography to collect all-angle camera pictures of the individual building enclosure structure in the building area; by considering different time variation and space planning of the building, the heat transfer process of the building envelope and the indoor temperature change are dynamically simulated, the carbon emission measurement and calculation result is updated in real time, and the dynamic change of the carbon emission of the building is reflected in time; the heat transfer and heating capacity of the building envelope structure can be accurately measured and calculated under the influence of solar radiation intensity and outdoor temperature change in different time periods of a building in one day and different orientations, different floors and surrounding environments of the building on heat transfer.

The invention relates to the technical field of solid oxide fuel cells, and discloses a construction method of a solid oxide fuel cell multi-physical field bidirectional strong coupling simulation model and a computer program product. The method comprises the following steps: respectively constructing an electrochemical model, a positive / negative electrode fluid flow model and a heat transfer model of the solid oxide fuel cell based on an established geometric structure model; solving equations of the physical fields in all the models are combined to form a full coupling matrix, and iterative solving is carried out according to a set initial value; and judging whether the constructed model is converged or not according to an iterative solution result. According to the model constructed by the method, the mutual influence among electrochemistry, flow and heat transfer processes is fully considered, and synchronous solving is performed through a unified matrix system, so that real-time interaction and collaborative updating among multiple physical fields are realized, and the convergence efficiency and numerical stability of a nonlinear coupling problem are remarkably improved; through inspection, the deviation between a simulation result and actually measured data is less than 8%, and the method has high engineering practical value.

The invention belongs to the technical field of non-phase-change refrigeration, and particularly relates to a non-phase-change active refrigeration method and device based on salt solution precipitation and dissolution under pressure regulation and control and application. The saline solution is used for refrigeration, greenhouse gas is not generated, dependence on fluid media in the heat transfer process is avoided, and environmental protection and high efficiency are achieved. The device comprises a pressure driving device, a solution circulating system and a heat exchange system, hydrostatic pressure serves as power for driving salt to be separated out in a solution of the hydrostatic pressure, the dissolved salt is effectively and controllably recrystallized, and active controllability of refrigeration circulation is achieved. After the solution is pressurized to separate out crystals, heat released by the residual dilute solution is transferred to a hot end; after the pressure is released, the crystals are dissolved to absorb heat of the cold end, and refrigeration circulation is completed. The solution is a refrigeration material and a heat transfer medium, is similar to traditional gas compression refrigeration, does not destroy the ozone layer and has no greenhouse effect, efficient refrigeration is achieved, and meanwhile environment friendliness and sustainable development are facilitated.

The invention provides an intelligent temperature control system and method based on chip heat energy guiding. The method comprises the steps of obtaining running state information of a target chip set; the working mode of the loop heat pipe is determined according to the operation state information of the target chip set, and stepped energy recovery is conducted on conduction heat of the loop heat pipe through the recovery heat pump; thermal state information of the target chipset and energy recovery information of the recovery heat pump in different historical time windows are obtained, correlation verification analysis is carried out according to the thermal state information and the energy recovery information, and an intermittent boiling threshold value of the loop heat pipe is determined; acquiring operation instruction stream data of the chip, and performing dynamic power consumption prediction according to the operation instruction stream data to obtain a dynamic power consumption prediction value; when the dynamic power consumption predicted value is higher than the intermittent boiling threshold value, the liquid return rate of the loop heat pipe is adjusted based on the dynamic power consumption predicted value, the liquid return rate in the heat transfer process can be controlled according to dynamic power consumption prediction, and the heat energy guiding and recycling efficiency is improved.

This invention discloses a method and system for predicting IGBT module junction temperature based on an LSTM thermal neural network, belonging to the field of IGBT application technology. It includes: analyzing the unsteady-state heat transfer characteristics of the multilayer materials inside the IGBT module and constructing a Discrete Heat Transfer (DHT) equation; generating a training dataset containing temperature response data under different power loss conditions through finite element (FEM) simulation; constructing an LSTM thermal neural network junction temperature prediction model with an embedded physical layer, the physical layer containing sub-neural networks to extract the mapping relationship between input features and thermal resistance and thermal capacity; training the model using the training dataset, transforming the DHT equation as a physical constraint into dynamic constraints for model parameters, thereby achieving the prediction of IGBT module junction temperature under different operating conditions. This invention overcomes the limitations of existing methods by integrating the physical heat transfer process with the LSTM network, achieving accurate and rapid prediction of IGBT module junction temperature, effectively improving the reliability and economy of IGBT module thermal management.

The invention belongs to the technical field of building energy management and energy storage, and provides a building load transfer system and method based on graded phase change heat storage, in an energy storage stage, high-temperature hot water prepared by an electric heating device enters a graded phase change energy storage subsystem through a pipeline; in the heat supply stage, building return water is heated by the high-temperature energy storage unit and the low-temperature energy storage unit and then fed into the heat supply tail end; in the refrigeration stage, hot water output by the high-temperature energy storage unit drives the ammonia water absorption refrigerator to generate chilled water, then cooling is conducted through the heat supply tail end, and the high-temperature energy storage unit and the low-temperature energy storage unit are innovatively arranged in series; during energy storage, hot water sequentially releases heat according to the temperature from high to low, and return water sequentially absorbs heat according to the temperature from low to high during energy release and heat supply, so that temperature alignment and gradient utilization of heat energy are realized, loss in the heat transfer process is greatly reduced, and the overall energy utilization efficiency is remarkably higher than that of a traditional single-stage heat storage system; and the application of the phase change energy storage technology in building energy storage and energy utilization is promoted.

The invention provides a body catalytic reactor based on Joule heating, a reverse water gas shift reaction method and application. The body catalytic reactor comprises a reaction kettle for placing a solid catalyst for endothermic gas-solid multiphase reaction and a closed circuit for heating the solid catalyst based on Joule. According to the technical scheme, the solid catalyst (active substance) with reaction catalytic activity is directly used as a heat supply source of the reaction, and the solid catalyst generates Joule heat by adopting an electric heating mode, so that the solid catalyst can be used as the catalyst and the heat supply source at the same time; a real heat transfer process from inside to outside of the solid catalyst is realized, energy is concentrated on the solid catalyst, and the energy utilization efficiency is extremely high.

The invention relates to the technical field of physical engines, in particular to a boiler heat transfer inertia determination and boiler heat transfer inertia regulation and control analysis method and device, and the method comprises the following steps: discretizing a superheater tube wall and a header into Lagrange material points carrying mass, temperature and stress information according to the geometric structure and material physical property parameters of a boiler; according to the method, by analyzing the geometric structure and the material physical property parameters of the boiler, a heated part is dispersed into material points carrying mass, temperature and stress information, and coupling treatment is achieved in a grid covering a fluid domain and a solid domain, so that the heat transfer process can be continuously tracked on the global scale, and the heat transfer efficiency is improved. And by executing mapping between material point information and grid nodes under variable working conditions, distribution changes of momentum and energy can be synchronously obtained, and change results are returned and updated to the material points in real time, so that dynamic interaction of the position, the temperature and the stress is realized, and time sequence evolution of heat transfer inertia is described with higher precision.

The invention relates to a model prediction control method for temperature parameter self-tuning in a rubber mixing process. The method comprises the following steps: S1, constructing a mechanism model and a rotor motor model in a mixing heat transfer process; s2, constructing a prediction model under an incremental control method based on the mechanism model and the rotor motor model; s3, constructing an MPC controller based on the prediction model, wherein the controller adopts a genetic algorithm to set parameters; s4, the MPC controller obtains the control target, the controlled quantity, the state quantity and the disturbance quantity after discrete sampling, the control target, the controlled quantity, the state quantity and the disturbance quantity are input into a prediction model, the prediction model outputs a prediction sequence, the prediction sequence is input into a rolling optimization module of the MPC controller to obtain an optimal control sequence, and the rolling optimization module adopts the parameters set in the S3; and S5, inputting the optimal control sequence into the internal mixer for control. Compared with the prior art, the method has the advantages that the problems that high-precision control over the internal mixing temperature is difficult, control parameters are difficult to set, and real-time observation is difficult are solved.

The invention discloses a plateau lake evaporation remote sensing calculation method considering terrain and a water body heat storage effect, and belongs to the technical field of surface evapotranspiration quantitative remote sensing inversion. According to the method, high-precision estimation of the evaporation capacity of the plateau lake is realized through an adjacent terrain effect and a water body layered heat transfer process. Firstly, a remote sensing image, meteorological data and a digital elevation model are acquired and preprocessed; then calculating a sky visual factor and a terrain configuration factor of terrain correction, and quantifying the influence of the terrain on radiation transmission; simulating water temperature distribution of different depth layers of the lake by using a one-dimensional heat transfer equation, and accurately calculating the heat storage flux of the water body; and finally realizing spatialization estimation of the evaporation rate by combining an energy balance equation and meteorological parameters. The method innovatively solves the key problem that a traditional evaporation model neglects a terrain effect and water body heat storage when applied to plateau lakes, and provides reliable technical support for plateau area water resource management and ecological protection.

The invention discloses an environment-friendly stadium seat and a metal plate heat transfer printing forming process thereof. The environment-friendly stadium seat and the metal plate heat transfer printing forming process are suitable for public stadiums such as report halls and theaters. The seat comprises standing feet, a seat body and a leaning body, the seat body and the leaning body are both designed in a mode that an inner lining plate (a stress component) and an outer decorative plate (a decorative component) are separated, the inner lining plate is of a composite structure of a multi-layer plate and a steel frame and bears main loads, the outer decorative plate is an aluminum alloy plate or a cold-roll steel plate which is 1.5-3 mm thick, and the outer decorative plate is processed through a high-temperature wood grain heat transfer printing technology after being processed through stamping, welding and the like. The seat body is provided with high-density polyurethane shaping sponge and flame-retardant wear-resistant environment-friendly fabric, the backrest body is provided with a turnover mechanism which can be folded and stored, and the outer decorative plate is detachably connected with the inner lining plate. The metal plate heat transfer printing process comprises the steps of material selection, cutting, stamping, welding, polishing, pretreatment, plastic powder spraying and curing, high-temperature heat transfer printing and cooling demolding, and parameters are accurate and controllable. Formaldehyde release is completely eradicated, the structure is stable, the appearance is vivid, wear resistance and fire prevention are achieved, the service life is prolonged by 30% or above, the production efficiency is improved by 40%, and environment friendliness and practicability are both considered.

The invention belongs to the technical field of automatic control, and particularly relates to a methanol engine heat management unit control method based on air pressure heat compensation and waste gas heat exchange. The method comprises the following steps: uniformly modeling a heat transfer process and a fluid flow process in a methanol engine heat management unit into a multi-physical domain bonding graph model containing a heat domain and a fluid domain, and setting a feature vector containing a heat domain feature and a fluid domain feature for each node; step 2, executing message passing on the graph neural network, and reading a heat domain temperature feature of a node corresponding to an air inlet of the methanol engine as a predicted air inlet temperature; and 3, the PLC enables the air inlet temperature to reach the target air inlet temperature according to the comparison result of the predicted air inlet temperature and the target air inlet temperature. According to the method, through multi-physical domain coupling modeling and graph neural network online iteration solving, the defects that in the prior art, all heat exchange parts are independently controlled, and the heat flow coupling relation of the system is ignored are overcome.

The invention discloses a heat transfer calculation method for pulsating heat pipes with adjustable inclination angles and liquid filling rates. The heat transfer performance of the pulsating heat pipes with different inclination angles and liquid filling rates is researched by adopting a numerical method; calculating the heat transfer process by solving the energy equation of the steam bomb and the energy and momentum equation of the liquid bomb, so as to predict the pulsation phenomenon of the working medium in the pulsating heat pipe; on the basis of a momentum heat mass transfer model, calculating the phase change heat transfer capacity through film condensation and a down-flow film boiling heat transfer coefficient, investigating the influence of different inclination angles on the liquid film thickness and the down-flow film speed, and increasing the influence of the down-flow film on the liquid elastic length; and the liquid bomb pulsation condition of the pulsating heat pipe under different inclination angles and different liquid filling rates is researched, and then the heat transfer performance of the pulsating heat pipe is calculated. The working heat transfer performance of the pulsating heat pipes with different inclination angles and liquid filling rates and the motion state of the working medium are analyzed and calculated, and guidance is provided for parameter development and engineering application of the pulsating heat pipes.

A multi-fidelity topological optimization method, system, device and medium for a microchannel flow boiling process, and the method comprises the steps: firstly carrying out low-fidelity topological optimization on a single-phase laminar flow convective heat transfer process to generate a group of candidate topological optimization structures; then calculating the speed, temperature and two-phase distribution in a single-phase heat transfer process and a flow boiling heat transfer process on the basis of a high-fidelity flow boiling numerical model, and constructing a novel objective function capable of reflecting flow boiling heat transfer characteristics on the basis of leading factors of the flow boiling heat transfer problem in the microchannel; and finally, directly generating a topological optimization structure under a low-fidelity condition based on the new objective function. Aiming at the defect that an existing topological optimization algorithm cannot directly optimize the flow boiling heat transfer problem, rapid and accurate multi-fidelity topological optimization is realized by constructing a novel objective function capable of reflecting the flow boiling heat transfer characteristics; according to the designed topological optimization structure, local hot spots are eliminated, thermal resistance is reduced, and temperature uniformity is improved.