863 results about "Convective heat transfer" patented technology

The invention discloses a thermal management strategy management method and system based on an energy storage battery system, and relates to the technical field of battery thermal management, and the method comprises the steps: collecting temperature data, carrying out the preprocessing, generating and recording a measurement result and a convective heat transfer coefficient, taking the measurement result and the convective heat transfer coefficient as the input of a Kalman filter, and outputting an optimal estimation result of a battery. The temperature data refer to the environment temperature and the core temperature of the single battery, based on the optimal estimation result of the battery, establishing a fuzzy rule base for iteration and updating, outputting a dynamic temperature difference threshold value, constructing a three-dimensional thermodynamic potential function, calculating the cosine similarity of a cooling driving force vector and a cooling mode, and correcting the cosine similarity to obtain a cooling driving force vector. The mode switching list is generated, the cooling equipment decision mode is generated, starting judgment and optimization of the cooling mode are carried out, and the intelligent level, safety and energy efficiency ratio of thermal management of the energy storage battery system are remarkably improved.

The invention discloses a method and a system for monitoring the temperature of an energy storage battery in a high-altitude area. Through environment adaptive feature reconstruction, thermodynamic model correction and multi-frequency EIS fusion feature extraction are utilized to generate a feature vector adaptive to the plateau environment. The thermodynamic model correction adjusts the convective heat transfer coefficient by introducing an air pressure correction coefficient; the multi-frequency EIS fusion feature selects a specific frequency point impedance value to construct a vector, and the weight is dynamically adjusted through a random forest algorithm. The lightweight hybrid machine learning model integrates the advantages of LightGBM, 1D-CNN and a physical constraint particle filter model, and realizes accurate prediction for different working conditions. The plateau exclusive training mechanism covers data enhancement, transfer learning and online calibration, and the generalization ability and adaptability of the model are improved. According to the method, the problems of low temperature monitoring precision and poor model adaptability of the energy storage battery in the high-altitude area are solved, the monitoring precision and the system reliability are remarkably improved, and a guarantee is provided for safe and stable operation of a high-altitude energy storage system.

The invention relates to the technical field of industrial temperature measurement, in particular to a high-temperature heating body hearth temperature distribution measurement method, which comprises the following steps of: establishing a quantitative mapping relation model between real-time input electric power and theoretical heating intensity of a heating body; a limited number of temperature sensor arrays are arranged at key positions of the internal space of the hearth; synchronously acquiring a real-time temperature measurement value of the temperature sensor array and real-time input electric power data of the heating body; calculating and generating theoretical temperature field distribution covering the three-dimensional geometric model; obtaining a corrected temperature value; calculating the temperature residual error of the corrected temperature value and the theoretical temperature field distributed at the corresponding position of the sensor; expanding the discrete temperature residual error into a full-space three-dimensional residual error distribution field; and outputting the three-dimensional real-time temperature distribution field of the hearth. Dynamic lag compensation and convective heat transfer compensation algorithms are adopted, lag and errors in measured values can be corrected in real time, and it is ensured that measured data at high temperature have high response speed and accuracy.

The invention discloses a smart city energy management system based on energy conservation and emission reduction, and relates to the technical field of smart city energy management. By using an intelligent sensor group, illumination related data of illumination equipment is obtained, an illumination related data set R is constructed, and a light attenuation factor Gs, a convective heat transfer index DL and a use intensity factor Qd are extracted; the method comprises the following steps: dynamically evaluating the thermal load intensity of an urban area, scientifically dividing thermal risk grades, combining performance brightness prediction and control strategy matching to realize subarea and lamp-divided refined dimming control, using a feedback self-evaluation and optimization regulation and control mechanism, carrying out power reestimation and strategy alternation on an area with a substandard control effect, and carrying out power control on the area with the substandard control effect. Redundant energy consumption is effectively reduced, heat accumulation is restrained, and the lighting efficiency and the environment comfort degree are improved.

The invention provides a permafrost region ventilation pipe foundation design method based on a heat balance principle, and aims to keep heat balance of permafrost on the lower portion of a foundation and ensure long-term heat stability of the foundation. According to the method, meteorological data, soil physical parameters and permafrost upper limit and ground temperature distribution information are collected so as to evaluate whether additional protection measures are needed or not and determine the burying height of the ventilation pipe foundation. And based on the selected ventilation pipe configuration, the air speed in the pipe is calculated by using a corresponding air speed calculation formula, and the convective heat transfer coefficient is determined accordingly. And determining the diameter of the pipeline by combining the convective heat transfer coefficient and the economical efficiency. And the cooling radius and the optimal operation mode of the ventilation pipe foundation are further determined, so that heat balance at the bottom of the foundation is ensured, and permafrost at the lower part of the foundation is effectively protected. The design method is simple, convenient, rapid and accurate, and has important engineering application value and wide applicability.

The invention relates to a three-dimensional channel structure design method of a micro-channel heat exchange module and a related device thereof. The method comprises the following steps: inputting a heat conduction coefficient and a convective heat transfer coefficient of a micro-channel heat exchange module into a Rayleigh-Ritz coupling model for kinetic analysis to obtain channel structure parameter data; performing temperature field and pressure field acquisition on the channel structure parameter data, and performing time sequence feature extraction through a double-space-time automatic encoder to obtain a fluid dynamic feature data matrix; inputting the fluid dynamic characteristic data matrix into a recursive window Bayesian network, and calculating a heat exchange efficiency weight coefficient, a fluid resistance weight coefficient and a heat transfer uniformity weight coefficient to obtain a channel optimization objective function; and according to the channel optimization objective function, carrying out global iterative calculation on the channel main body structure by utilizing a genetic algorithm, and carrying out local optimization on the shunting and converging structure by adopting numerical simulation to obtain a three-dimensional channel structure optimization scheme. According to the method, the optimization precision of the channel structure parameters is effectively improved.

The invention discloses a method for establishing a thermal error prediction model of a machine tool feeding system. The method comprises the following steps: constructing a feeding system thermal error prediction model; key parameters such as a heat conductivity coefficient and a convective heat transfer coefficient are obtained through parameter identification; applying the same working conditions to the feeding system model and the feeding system thermal error prediction model, and collecting output data of the feeding system model and the feeding system thermal error prediction model under different working conditions; optimizing key parameters of the feeding system thermal error prediction model by using the thermal error data of the feeding system model based on a genetic algorithm; and correcting the high-precision prediction model by using a final parameter value obtained by multiple rounds of genetic optimization so as to obtain a final thermal error prediction value. According to the method, by comprehensively analyzing the thermal error mechanism of the numerical control machine tool feeding system and the feeding system thermal error prediction model and combining a data-driven genetic optimization algorithm, accurate prediction of the feeding system thermal error prediction model is achieved, and effective support is provided for high-precision machining of the numerical control machine tool.

A worm and worm gear pair heat-fluid-solid coupling analysis method comprises the following steps that 1, a heat-fluid-solid coupling simulation analysis model of a worm and worm gear pair is built, and a three-dimensional geometric model is built based on the worm and worm gear meshing principle; 2, parameterized grid division is carried out on the simulation analysis model, a tetrahedral unstructured grid is adopted for a fluid domain, and a worm and worm gear tooth surface area is densified; 3, based on the fluid dynamics theory and an RNG # imgabs0 # turbulence model, establishing an oil-immersed lubricating oil gas two-phase flow transient simulation model, and solving fluid dynamic pressure and a convective heat transfer coefficient through a pressure-speed coupling algorithm; 4, establishing a three-dimensional transient dynamic simulation model based on a solid mechanics theory, combining a temperature-stress coupling field equation, adopting an explicit dynamic algorithm, and iteratively solving thermal deformation and stress strain of the worm and the worm gear through a finite element method; and 5, bidirectionally transmitting the pressure of the fluid domain, the convective heat transfer coefficient and the thermal deformation data of the solid domain through the fluid-solid interface, and carrying out iterative solution until convergence.

The invention belongs to the technical field of airplane and engine electric heating deicing, and discloses an airplane electric heating deicing unsteady state process prediction method and device and a medium, and the method comprises the steps: firstly calculating an air flow field and a water drop field, obtaining an external convective heat transfer coefficient and a water drop impact amount result, and providing external data for deicing unsteady state simulation calculation; during unsteady state simulation calculation, through coupling iteration of the exchange boundary, the icing / ice melting rate and temperature distribution are obtained, and the icing amount and the overflow state are updated according to the icing / ice melting rate and the temperature distribution. In the coupling iteration of the exchange boundary, an overflow phase change calculation process and a flow guide calculation process are included, and the overflow phase change calculation result and the flow guide calculation result serve as boundary conditions for executing flow guide and overflow phase change correspondingly. And a theoretical basis is provided for deicing effect analysis and electric heating deicing strategy design.

The invention discloses a lithium battery thermal parameter online monitoring method and equipment. According to the method, a one-dimensional heat transfer model of the battery is established, and a finite element model is solved by inversion of battery surface temperature change actually measured in operation, so that combined monitoring of the heat conductivity coefficient, the convective heat transfer coefficient, the average temperature and the heat production power P of the lithium battery is realized. Meanwhile, only the temperature sensor needs to be arranged on the surface of the battery, the battery does not need to be disassembled or an internal sensor does not need to be implanted, the battery integrity is kept, and the method is suitable for battery full-life-cycle monitoring. According to the method, the key thermal parameters of the lithium battery can be identified online in a non-intrusive, low-cost and high-reliability manner, support is provided for thermal management, health assessment and thermal safety early warning of the battery, and the method is suitable for various battery configurations and thermal management systems.

The invention discloses a thermal management method and device of a brake disc, computer equipment and a storage medium. The thermal management method of the brake disc comprises the steps that a whole vehicle fluid mechanics model is used for calculating convective heat transfer coefficients of all positions on the brake disc at the current vehicle braking moment; obtaining the temperature of each position on the brake disc at the current vehicle braking moment and the vehicle speed at the current vehicle braking moment; according to the convective heat transfer coefficient and the temperature of each position on the brake disc and the vehicle speed of the vehicle, the temperature variation of each position on the brake disc is calculated; predicting a temperature peak value on the brake disc at the next moment according to the temperature variation and the temperature of each position on the brake disc; and when the temperature peak value on the brake disc at the next moment does not meet the preset temperature condition, a cooling system of the vehicle is controlled to cool the brake disc till the temperature peak value on the brake disc meets the preset temperature condition. According to the method, the heat dissipation effect of the brake disc is enhanced.

Disclosed is a collaborative design system and method for a thermophysical property gradient distribution and a braided structure of a CMC and a storage medium. The system comprises at least one storage medium and at least one processor. The at least one processor is configured to: generate a temperature field parameter of a surface of a CMC turbine blade under a non-uniform inflow condition based on a simulation analysis platform, and extract a convective heat transfer coefficient; partition the CMC turbine blade and import an extracted fluid-solid heat transfer boundary condition into an optimization platform; perform multi-objective optimization on the thermophysical property gradient distribution of the CMC turbine blade under the non-uniform inflow condition based on an optimization simulation tool; and generate C nanotube contents of different regions of the CMC turbine blade based on a correspondence function and values of material thermal conductivities of the different regions of the CMC turbine blade to realize the collaborative design of the thermophysical property gradient distribution and the braided structure of the CMC.

The utility model discloses an immersed battery thermal management system which comprises a battery, a columnar shell internally provided with a battery pack, and a spiral pipe liquid flow channel wrapped outside the battery pack, the two ends of the columnar shell are sealed by flange end sockets, a closed cavity is formed in the columnar shell and filled with cooling liquid, and the flange end sockets are provided with a liquid inlet pipeline, a liquid outlet pipeline and a wiring port. The spiral pipe liquid flow channel is soaked in cooling liquid, the outer edge of the spiral pipe liquid flow channel is in direct contact with the inner wall of the columnar shell, and the inner edge of the spiral pipe liquid flow channel is a battery pack placing space; the battery pack is formed by connecting a plurality of single batteries in series and in parallel, and the periphery of each single battery is coated with a sealant coating; according to the battery heat management system, heat transfer between a battery and the external environment is achieved through heat convection, and therefore heat exchange is achieved; according to the utility model, the cooling effect of the power battery is improved by utilizing a flow heat exchange mode, and the device is different from a traditional large-scale immersed liquid cooling device, and the lightweight design in the power battery design is highlighted.

The invention belongs to the field of heat exchangers, and discloses a Stirling engine heat exchanger for a molten salt reactor and a Stirling engine, the Stirling engine heat exchanger for the molten salt reactor comprises a heat exchanger shell, a liquid inlet is formed in the top of the heat exchanger shell, and a liquid outlet is formed in the side wall of the bottom of the heat exchanger shell; the working medium cylinder is hermetically connected with the heat exchanger shell; the multiple first baffle plates are arranged in the heat exchanger shell at intervals in the height direction of the heat exchanger shell, and first channels are formed between the outer side walls of the first baffle plates and the inner side wall of the heat exchanger shell; a second baffle plate is arranged between every two adjacent first baffle plates, and a second channel is formed in the center of each second baffle plate; a plurality of U-shaped heat exchange pipes are arranged in the heat exchanger shell in an array mode along the circumference and penetrate through the first baffle plate and the second baffle plate, and the two ends of each U-shaped heat exchange pipe are inserted into the working medium barrel correspondingly. By arranging the baffle plates, the flowing direction of fused salt and a working medium is changed from parallel flowing to staggered flowing, the convective heat transfer coefficient of the fused salt side is increased, and the heat exchange efficiency is improved.

The multi-field coupling collaborative modeling and parameter autonomous intelligent decision-making method for the roller type quenching process comprises the steps that four key process parameters including the nozzle flow, the water ratio, the roller gap distance and the plate passing speed are collected and subjected to normalization preprocessing, and a training set and a test set are divided; the four key process parameters of the training set serve as input, the water-cooling convective heat transfer coefficient and the phase change plasticity coefficient serve as output, a BP neural network is trained, and the workpiece surface water-cooling convective heat transfer coefficient and the material internal phase change plasticity coefficient are predicted through the trained BP neural network; a multi-field coupling model composed of a temperature field, a structure phase change field and a stress-strain field is solved, and quantitative calculation of quenching core quality indexes is achieved; by taking water consumption minimization as a target, constructing a nonlinear optimization model under the condition that multiple core quality index constraints of the plate temperature, the outlet hardness and the plate shape are met; and performing global optimization on the optimization model by adopting a differential evolution algorithm, and autonomously deciding an optimal process parameter set value.

The invention relates to the field of gas turbines, in particular to a gas turbine pull rod thread service life and anti-loosening optimization method based on a reverse technology, and the thread service life optimization method comprises the following steps: fitting a pull rod pre-tightening stretching amount by adopting normal distribution to obtain a cold-state stretching amount; measuring the main runner gas temperature under normal start-stop and quick start-stop working conditions, and calculating a convective heat transfer coefficient; a transient temperature field is calculated, and then a pull rod pre-tightening force transient change curve is solved; according to the stress and strain of the pull rod thread, respectively calculating the pull rod thread life and the pull rod thread total damage; an unloading groove is milled in the end face, making contact with a wheel disc, of the pull-rod nut, and the optimal solution of the unloading groove of the pull-rod nut is obtained through response face optimization. According to the anti-loosening optimization method, the response surface of the taper angle of the thread teeth of the pull rod thread is optimized on the basis. By solving the optimal solution of the unloading groove, the stress and strain of the tooth root part of the first thread are minimum, and the service life is prolonged; and the taper angle is added on the thread, so that the thread tooth load distribution is more uniform, and the anti-loosening effect is better.

The invention discloses a parallel computing simulation method for thermal exploitation of a buried pipe well group in a geothermal reservoir, which comprises the following steps of: dispersing a grid volume unit of a buried pipe by adopting a parallel finite element unit method, and simplifying the buried pipe and circulating fluid in the pipe into a one-dimensional linear finite element unit; constructing a plurality of pipeline flow models arranged in an array, and combining the in-pipe one-dimensional linear units and the out-pipe three-dimensional volume units to obtain a well group type pipeline flow geometric model; a parallel finite element unit method is adopted to be combined with a non-isothermal pipeline flow physical field, an underground water seepage physical field and a porous medium heat transfer physical field to conduct multi-physical-field coupling, and a well group type pipeline flow numerical model is obtained; fluid flow and convective heat transfer in the buried pipe and pipe wall heat conduction are solved in a combined mode; and performing factor sensitivity analysis by changing different thermophysical parameters of the rock-soil body and heat exchange characteristic factors of the buried pipe well group. The invention provides a new method for researching fluid flowing and heat transfer behaviors of the buried pipe well group, and provides a new idea for optimal design and efficient simulation of thermal exploitation of the buried pipe well group in a geothermal reservoir.

The invention discloses a synchronous reluctance motor magnetothermal coupling rapid calculation method based on a dynamic thermal network, and belongs to the technical field of motors. Comprising the following steps: calculating motor loss by adopting a finite element electromagnetic field model, and calculating a convective heat transfer coefficient by adopting a finite element fluid field model; constructing a three-dimensional thermal network comprising conduction, contact, convection thermal resistance, thermal capacity and a heat source, and solving to obtain an average temperature and a boundary temperature of component nodes; constructing a sub-domain temperature field calculation model of the heat source component, and calculating temperature distribution in combination with boundary conditions; introducing average temperature compensation thermal resistance and carrying out dynamic correction; carrying out magnetothermal coupling iteration, and updating the loss and the temperature until the precision is met; and introducing maximum temperature compensation thermal resistance into the thermal network, and solving to obtain an average temperature and a maximum temperature transient temperature rise curve of each component. Based on the technical means of combining electromagnetic field and fluid field finite element simulation with thermal network and subdomain temperature field calculation, efficient calculation of magnetothermal coupling of the synchronous reluctance motor is achieved.

The invention belongs to the technical field of porous medium combustors, and particularly relates to a model selection construction method of a periodic cell body structure of a porous medium combustor, which comprises the steps of constructing a heat transfer device, constructing a cell body unit to be selected, installing the cell body unit to be selected, measuring data parameters, analyzing results and the like. From a plurality of perspectives of convective heat transfer coefficient, area excellent factor, effective heat conductivity coefficient, longitudinal diffusion coefficient and the like, the performance of the porous medium burner can be influenced by using different periodic cell body structures under the condition of the same porosity; the invention further provides a model selection construction method for the periodic cell body structure when the porosity is the same, a theoretical basis is provided for model selection of the periodic cell body structure of the porous medium burner, and several periodic cell body structures recommended to be constructed and used under common porosity conditions are given.

The invention discloses a PINN-based grinding temperature prediction method and a transfer learning model, and belongs to the field of slow feed grinding and the technical field of neural networks. The method comprises the following steps: establishing an unsteady state heat conduction control equation, and defining a composite boundary condition; calculating the heat flux density of a heat source based on set grinding process parameters and workpiece material characteristics; constructing a PINN temperature prediction model; based on sparse temperature measurement data, a gradient optimization algorithm is adopted to dynamically invert and correct a heat conduction coefficient and a convective heat transfer coefficient; establishing a transfer learning mechanism, and accelerating solution of a PINN temperature prediction model under a new working condition; high-risk regions exceeding the critical damage temperature of the material are identified based on the predicted temperature field, and processing parameters are optimized to prevent grinding burns. According to the method, the unsteady heat conduction equation is embedded into the neural network, empirical formula constraint is replaced, and the physical consistency of the dynamic process is ensured; meanwhile, the method can achieve the inversion of key physical parameters based on a very small number of temperature measurement points, and solves a problem of boundary condition uncertainty.

The utility model belongs to the technical field of new energy automobiles, and particularly discloses a new energy automobile high-pressure liquid heater which comprises a heater body, a thick film heating plate, a heat insulation plate, a cover plate and an overheating protection circuit which are sequentially installed from bottom to top. The overheating protection circuit comprises four thermistors Rt1, Rt2, Rt3 and Rt4, an N-type MOS tube, a relay KJ, a heating resistance wire Rh, a resistor R1, a resistor R2, a resistor R3, a low-voltage direct-current power supply and a high-voltage direct-current power supply. According to the thick film heating plate, the water-drop-shaped turbulent flow columns and the turbulent flow teeth are arranged, so that the heat conduction efficiency and the heat exchange efficiency of the thick film heating plate in liquid are improved, and better convective heat exchange is realized; and the overheating protection circuit is arranged, so that the reliability of the heater during over-temperature protection is improved, and the heater is not only controlled by software.

The invention discloses a photovoltaic module with an enhanced passive heat dissipation structure, belongs to the technical field of photovoltaic modules, and aims to solve the problem that the photoelectric conversion efficiency of the photovoltaic module is reduced due to temperature rise. The assembly comprises a photovoltaic cell panel assembly, a first fin group and a second fin, wherein each first fin group consists of four parts, namely a first sub-fin, a second sub-fin, a third sub-fin and a fourth sub-fin, the first fin groups are arranged in rows, and the second fins are arranged between the adjacent first fin groups in each row. The photovoltaic module with the enhanced passive heat dissipation structure has the beneficial effects that the photovoltaic module with the enhanced passive heat dissipation structure is reasonable in structure and feasible in technology, heat dissipation can be effectively improved by adopting passive heat transfer modes such as unpowered natural convective heat transfer and radiation heat transfer, autonomous cooling of the photovoltaic module is realized, the photoelectric conversion efficiency of the photovoltaic module is improved, and the service life of the photovoltaic module is prolonged. And the generating capacity of the photovoltaic field station can be improved.

The invention provides a temperature compensation error elimination method in a full-automatic transformer transformation ratio test, and belongs to the technical field of transformers. A heat conduction coefficient matrix, a convective heat transfer coefficient matrix and a radiation form factor matrix are utilized to construct a temperature field dynamic evolution equation set, and a neural network compensation model combining a multi-layer perceptron architecture and an attention mechanism is adopted. A hierarchical fusion weight is dynamically adjusted based on a thermal gain stability matrix eigenvalue, a temperature gradient vector modulus length and a thermal capacity matrix condition number through a gating weight function, compensation parameters are adjusted in advance by using a temperature field prediction algorithm, and continuous improvement of measurement precision is realized through a temperature compensation effect evaluation mechanism and a dynamic parameter optimization strategy. The technical problems that the measurement precision is reduced and accurate temperature compensation cannot be realized due to temperature change in the transformation ratio test process of the transformer are solved.

The invention provides a registration type battery thermophysical parameter measurement method. A battery to be measured and a standard component group with known thermophysical properties are placed in the same air environment for synchronous heating and temperature measurement. The simulation curve and the actually measured temperature curve of the standard component are overlapped through the registration technology, the convective heat transfer coefficient of the environment is accurately inverted, and the function relation of the convective heat transfer coefficient is established. The function relation is applied to the battery to be tested, heat lost by convective heat transfer is compensated, and the specific heat capacity and the heat conductivity are synchronously obtained through one experiment process. According to the invention, the dependence of a traditional measurement method on a vacuum insulation environment is broken through, the problems of high measurement cost, low efficiency and poor data collaboration in the prior art are solved, and high-precision integrated measurement in a common environment is realized.

The utility model relates to the technical field of air conditioners, particularly provides an air conditioner outdoor unit and an air conditioner, and aims to solve the problem that an existing air conditioner outdoor unit is poor in heat dissipation effect. In order to achieve the purpose, the air conditioner outdoor unit comprises a machine shell, the interior of the machine shell is provided with a partition plate, and the partition plate divides the internal space of the machine shell into a first cavity and a second cavity; the condenser is arranged in the first chamber; the electric control assembly is connected with the partition plate, and one end of the electric control assembly extends into the first cavity and is connected with a radiator; and the partition piece is arranged between the condenser and the radiator. The air flow passing through the radiator can be adjusted from a laminar flow state to a turbulent flow state, so that the convective heat transfer coefficient between the air flow and the radiator is increased, the heat exchange efficiency is enhanced, and stable operation of the electric control assembly is facilitated.

According to the device for reducing the temperature rise of the dry-type hollow high-capacity current-limiting reactor and the design method thereof, a double-layer rainproof device technology and a split type staggered ventilation structure are adopted to realize rainproof and heat dissipation decoupling; according to the invention, heat dissipation is carried out through annular grating ventilation holes in the vertical direction of a top-layer rainproof cap and a middle ventilation net between the top-layer rainproof cap and a bottom-layer rainproof cap, and a coupling simulation technology of a magnetic field-flow field-temperature field of a reactor is utilized to form a correlation between structural parameters of a double-layer rainproof device and a flow rate change rate of fluid in an air passage of an encapsulation chamber; a bidirectional coupling model of a flow field and a temperature field is established, and the synergistic effect of encapsulated radiation and convective heat transfer is solved through a finite element method. Through multi-field coupling simulation and parametric modeling, the problem of collaborative optimization of rainproof device design and electric reactor thermal performance is solved, the equivalent heat dissipation area is increased to 2-3 times that of a single-layer structure, the use amount of wires is reduced by 8-15%, the coil hot-spot temperature rise is reduced to 78K from 88K of a traditional structure, and the reduction amplitude reaches 11.4%.

The invention discloses a device and a method for simulating heat exchange and friction resistance measurement of an aviation high-speed motor under different working conditions, and relates to the field of heat management of high-speed rotating equipment. An additional heating sheet is attached to the outer surface of the inner rotor, and different surface structures are detachably assembled on the outer rotor to form a stator and rotor slit flow channel boundary; cooling liquid forms one-inlet and one-outlet forced convection through the radial through hole of the end cover. The rotating speed larger than or equal to 20,000 rpm, runner pressure drop and temperature data are synchronously collected through an axle load type sensor, and the heat exchange coefficient, the flow resistance coefficient and the friction resistance coefficient are calculated in real time based on energy conservation, a Darcy formula and a torque empirical formula. A real rotor surface structure is reproduced under the condition of high-speed rotation, working medium leakage is restrained through mechanical sealing, and runner blockage caused by centrifugal deformation of the surface structure is prevented through the outer rotor designed in an integrally-formed mode; the obtained convective heat transfer-resistance coefficient-friction resistance coefficient all-parameter curved surface database can guide optimization of the cooling flow channel of the aviation motor.

The invention discloses a method for calculating the temperature of a rarefied flow field through convective heat flow and the surface temperature of a Gordon meter, and the method is used for measuring the incoming flow temperature of a rarefied fluid wind tunnel, and comprises the steps: installing the Gordon meter and a radiation heat flow meter on a moving motor at a certain interval, and controlling a measurement point through the moving motor, the measuring point is an area covered by the incoming flow direction; after a measuring point is selected, under the same working condition, a moving motor sequentially measures the total heat flow Q (average value) and the pure radiation heat flow qr of the measuring point, the heat flow average value Qc = Q-qr of convective heat transfer is obtained, and an infrared pyrometer is used for measuring the center temperature Tr = 0 of a Gordon meter; and calculating the incoming flow temperature Tf and the convective heat transfer coefficient h of the current measurement point according to the convective heat flow Qc and the constantan foil center temperature Tr = 0 of the Gordon meter. According to the invention, a simple structure is used for replacing a complicated measurement system of a conventional rarefied wind tunnel temperature measurement method, and the problem that in a highly rarefied wind tunnel, the signal of a spectrum temperature measurement method is weak, and the temperature measured by a thermocouple is difficult to reflect the actual temperature of a flow field is solved.

The invention belongs to the technical field of batteries, and provides a battery heating power testing device and a calculating method.The device comprises a testing tool box, a heat preservation layer, a plurality of temperature sensors, a temperature collecting device, a charging and discharging device and a power line, the power line is used for connecting the charging and discharging device and a battery, and the battery is contained in the testing tool box; the test tool box is provided with a wiring hole used for arranging a power line and a temperature sensor, and the wiring hole is provided with a sealing structure. According to the battery heating power testing device and the calculation method, battery spontaneous heating, convective heat transfer between the battery and the internal environment of the testing tool box and radiative heat transfer between the battery and the inner surface of the testing tool box are calculated based on the heat balance principle, and the battery heating power calculated through the method is small in error, high in accuracy and high in reliability. And an important basis can be provided for battery thermal evaluation.

The present disclosure provides methods and divertors for plasma reactors. The divertors may comprise internal lattice structures to facilitate conductive and convective heat transfer and provide structural support to plasma facing surfaces of the divertor.