616 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.

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 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 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 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 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 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.

The invention discloses a multi-magnetic-source comb-shaped water tank magnetic liquid sealing device, and belongs to the field of mechanical engineering sealing. A first pole shoe, a second pole shoe, a third pole shoe and a fourth pole shoe which are provided with annular comb-shaped tooth grooves are alternately connected with a first permanent magnet, a second permanent magnet and a third permanent magnet in series, wherein the first permanent magnet, the second permanent magnet and the third permanent magnet are arranged in a manner that N-S-S-N-N-S magnetic sources are arranged in sequence or N-S-N-S-N-S-S-S-S-S magnetic sources are arranged in an inverted manner, and the multi-magnetic-source comb-shaped water tank sealing assembly is formed. Each pole shoe is provided with an annular cooling water tank, and spiral fins are machined on the bottom face and the side face of each cooling water tank, so that the effective heat exchange area in magnetic liquid sealing can be increased, convective heat transfer of cooling fluid is enhanced, the heat dissipation capacity is enhanced, the stable temperature of the magnetic liquid is kept, the sealing pressure resistance is improved, and the service life is prolonged. The installation mode that the multiple magnetic sources are sequentially arranged can compensate the weakening effect of the water tank on the magnetic field through magnetic field superposition, the magnetic field intensity difference value of the pole teeth is increased, and the sealing and pressure resisting capacity of the magnetic liquid is further enhanced.

A new type of high-efficiency liquid cooling cabinet for a data center server is provided. A new type of high-efficiency liquid cooling cabinet for a data center server includes a base plate, a cabinet, main boards, and memory strips, etc.; and the cabinet is welded on the upper part of the base plate, the front, left and right sides of the cabinet are open settings, seven main boards are evenly distributed up and down in the cabinet. By connecting the water inlet pipe from the outdoor to the coolant, the coolant enhances the convective heat transfer to cool the bottom chips, and the hot wind in the holes is cooled by the coolant flowing through the cavity of the six-hole heat-dissipation cavity device, finally, it is ensured that the main board and the memory strips may be cooled below the safe temperature simultaneously.

The invention discloses a temperature control management system of an intelligent medical cabin for high altitude, which comprises a multi-source data acquisition module, a power self-adaptive processing module and a temperature control management display module, relates to the technical field of medical environment control, and solves the technical problems of serious performance attenuation, low energy efficiency, rigid control strategy and poor adaptability. According to the method, the current altitude and the current atmospheric pressure serve as core input parameters, the heating capacity attenuation coefficient and the convective heat transfer coefficient of the heat pump are subjected to real-time and quantitative scientific correction, the limitation that a traditional system neglects changes of environmental physical characteristics is broken through, a heat load calculation model is converted into a plateau self-adaptive model from a plain model, and the calculation efficiency is improved. The calculated total heat load demand and the heat pump output power better meet the actual physical conditions of the plateau, and therefore it is guaranteed that the basic output capacity of the temperature control system is consistent with the design expectation.

The invention discloses a natural gas hydrate generation accelerant containing amino acid and nano calcium carbonate as well as a preparation method and application of the natural gas hydrate generation accelerant, and belongs to the technical field of natural gas hydrates. The problems of low natural gas hydrate forming rate, low gas storage density, low natural gas recovery efficiency, poor environmental protection property and the like in the prior art are solved. The accelerant is obtained by taking a hydrophobic amino acid solution as a base solution, adding nano calcium carbonate into the base solution and adjusting or not adjusting the pH value. By regulating and controlling the type and the concentration of a base solution in the accelerant, the hydrate formation rate and the gas storage density are improved, and the induction time of hydrate generation is shortened; nanoparticles in the accelerant are small in particle size and large in specific surface area, so that disturbance and convective heat transfer of the accelerant are enhanced; in addition, the chemical components of the nanoparticles in the accelerant and the main component of the seabed sediment with a large amount of natural gas hydrate in the nature are calcium carbonate, the environmental risk is reduced, and the calcium carbonate and hydrophobic amino acid are wide in source and environmentally friendly.

The invention relates to the field of thermodynamics and fluid mechanics, and discloses a heat dissipation method and system for an ultra-thin small-size integrally-formed inductor, and the method comprises the steps: fitting an electromagnetic-thermal coupling analysis network of the integrally-formed inductor, calculating a core heat source of the integrally-formed inductor, and constructing a heat distribution diagram of the integrally-formed inductor. Determining the flow channel layout of the integrally formed inductor, analyzing the flow channel Nusselt number and the flow channel friction factor of the micro-flow channel corresponding to the integrally formed inductor, determining the flow channel geometric characteristics of the micro-flow channel, and constructing a micro-flow channel heat dissipation network of the integrally formed inductor; determining a circulating heat dissipation path of the micro-channel heat dissipation network, analyzing an equivalent heat conductivity coefficient of a heat dissipation medium corresponding to the micro-channel heat dissipation network, and calculating a convective heat transfer coefficient and a total heat dissipation amount of the micro-channel heat dissipation network so as to analyze the heat dissipation performance of the micro-channel heat dissipation network; and determining the circulation flow rate of the micro-channel heat dissipation network so as to execute circulation heat dissipation of the integrally formed inductor. The heat dissipation effect of the ultra-thin small-size integrally-formed inductor can be improved.

A vented hood assembly for a military vehicle includes a hood, a heat exchanger, and seals. The hood defines a hood volume, an inlet to the hood volume, and an outlet from the hood volume. The heat exchanger is positioned in the hood volume. The seals extend between sides of support members of the heat exchanger and the hood. The seals are configured to sealingly couple with the sides of the support members of the heat exchanger and corresponding surfaces of the hood. During transportation, air is driven to enter the hood volume through the inlet, pass through the heat exchanger, and exit the hood volume through the outlet to induce convective heat transfer from the heat exchanger into the air.

The utility model relates to a horizontal tubular air preheater with turbolators, which is characterized in that a first-stage air preheater and a second-stage air preheater are arranged in a frame, a plurality of turbolator heat exchange tubes are respectively arranged in the first-stage air preheater and the second-stage air preheater, flue gas sequentially and transversely scours the second-stage air preheater and the first-stage air preheater, and the turbolator heat exchange tubes are arranged in the first-stage air preheater and the second-stage air preheater. Flue gas and air flow in the countercurrent direction, the flue gas exchanges heat with the air in the turbolator heat exchange tubes, and a plurality of rows of guide plates are obliquely arranged at the top and the bottom of the frame respectively to prevent the flue gas from forming flue gas corridors on the upper side and the lower side. The turbulent flow is increased, so that the thickness of a retention bottom of main heat resistance of convective heat transfer is reduced, heat transfer is enhanced, and the heat transfer coefficient K is increased by 50% compared with that of a common tubular preheater.

The invention relates to the technical field of heat energy machinery, in particular to a gas turbine simulation method and device based on multi-physics field coupling and gas compressor transient heat transfer, and the method comprises the steps: coupling one-dimensional complete machine model data with three-dimensional gas compressor model data to obtain coupling data; and an analysis tool based on the multi-physics field coupling transient numerical simulation technology is obtained through development according to the coupling data, simulation prediction is conducted on the performance condition of the gas compressor under the transient convective heat transfer condition based on the analysis tool, and a simulation prediction result is obtained. Therefore, the problems that in the prior art, simulation time is long, model building and solving are relatively complex, and numerical values are unstable due to the action between physical fields are solved.

The invention discloses a continuous efficient heat storage and exchange converter and method based on convection-radiation conversion, and belongs to the technical field of industrial energy conservation. The converter is of a three-dimensional spiral body structure, and the spiral body is formed by stacking 300-500 layers of shaftless equal-diameter spiral wires; the key structure sizes of the spiral wire comprise a wire diameter d, a spiral diameter D and a screw pitch B; wherein the thread diameter d of the spiral thread is 0.5-1 mm, and the spiral thread diameter D and the thread pitch B are respectively 1-2 mm; the specific surface area of the spiral body is 1800-3000m < 2 > / m < 3 >, so that the high convection heat exchange area is ensured; the thickness of the spiral body is 300-500mm, so that the radiation emissivity is close to 1; the porosity of the spiral body is gradually changed from 0.5 to 0.9 from the center to the heat exchange surface, so that radiation shielding in the three-dimensional spiral body is reduced. The device has the advantages that the device is suitable for efficient recycling of flue gas waste heat of various industrial furnaces, and the waste heat recycling efficiency can be effectively improved to 75% or above; particularly, a heat accumulating type heating furnace capable of reversing periodically can be replaced, the problems of furnace temperature and pressure fluctuation, flue gas waste heat loss and the like caused by frequent reversing in the traditional heat accumulating type heating process are solved, and continuous and efficient production of an industrial furnace is achieved.

The invention discloses a temperature field estimation method for a liquid cooling-phase change hybrid cooling structure of a permanent magnet motor. The method comprises the steps that a motor cooling structure is divided into independent areas, and a three-dimensional heat conduction model is constructed under overload working condition operation; setting temperature nodes in the independent areas of the stator and the phase change material along the circumferential direction, taking the other independent areas as the temperature nodes, and taking motor loss as a heat source, so as to construct a thermal network topological structure; a convective heat transfer coefficient is obtained, the heat capacity of cooling oil in the circumferential direction and the equivalent specific heat capacity of a phase change material are applied to temperature nodes, motor loss is applied to a heat source, and an equivalent transient heat network model is constructed; and obtaining the temperature rise of each temperature node until the overload condition is finished, and obtaining an estimated temperature field. The phase-change material effectively inhibits the instantaneous large temperature rise of the permanent magnet under the overload working condition; the model can completely represent the circumferential temperature gradient distribution, reflect the temperature space distribution difference of the stator winding under the overload condition, and improve the estimation speed of the temperature field.

According to the light helium storage spray pipe with the integrated efficiency of efficiency increasing, pushing changing, phase change heat prevention and infrared stealth, by means of the high phase change latent heat characteristic of liquid helium, the liquid helium is directly injected into the spray pipe to be mixed with high-temperature fuel gas; the temperature of fuel gas and thermal stress borne by a spray pipe material are remarkably reduced through phase change heat absorption, heat convection and gas film cooling, efficient thermal protection is achieved, the infrared radiation intensity of exhaust plume is effectively restrained, and the infrared stealth effect is achieved; the characteristic that helium is small in molecular weight is utilized, the expansion power capability of mixed gas and the propulsive efficiency and specific impulse of the engine are improved, meanwhile, through real-time regulation and control of helium injection flow, thrust adjustment to a certain degree can be achieved, and the maneuverability of the engine is enhanced. According to the designed composite interlayer structure, the thickness of the wall face of the spray pipe can be greatly reduced, the structural strength of the spray pipe is improved, and then the overall mass of an engine is reduced.

The invention discloses a bionic self-regulation heat reservoir which comprises a shell, a heat exchange pipeline, strengthening fins and an external ultrasonic module. The heat exchange pipeline is arranged in the center of the shell, and the two ends of the heat exchange pipeline are an inlet and an outlet. The strengthening fins are evenly arranged on the periphery of the heat exchange pipeline and are designed to be of a constituent arrow structure, the main vein and the trunk meridian of a bionic self-blade are arranged, the forked length and thickness of the adjacent layers meet the self-similarity law, non-uniform semi-open and semi-closed holes are further formed in the fins, and the hole diameter and the hole density change in a stepped mode in the gravity direction. The external ultrasonic modules are arranged on the outer wall of the shell in the gravity direction in a stepped mode. Through the collaborative design of the fractal arrow-shaped reinforced fins and the non-uniform semi-open and semi-closed hole array and in combination with the external gradient ultrasonic module, the heat transfer efficiency and the heat storage and release rate of the phase change material are remarkably improved, and the purpose of self-adaptive convective heat transfer regulation is achieved by means of self-driven thermal deformation of the shape memory material; and the heat storage performance and stability of the system under different working conditions are improved.

The invention relates to a seawater environment thermal resistance determination method and system considering multi-factor influence and a medium, and the method comprises the following steps: determining the type of ocean current according to the Reynolds number of the ocean current, and calculating to obtain the Nusselt number of the ocean current; obtaining a seawater heat conductivity coefficient through a Gibbs function according to the seawater state parameters; obtaining seawater heat conduction thermal resistance according to the seawater thermophysical characteristic parameters and the seawater heat conductivity coefficient; calculating the average convective heat transfer coefficient of the surface of the submarine cable according to the seawater heat conductivity coefficient and the Nusselt number of the ocean current; obtaining convection heat transfer thermal resistance according to the average convection heat transfer coefficient; and obtaining the seawater environment thermal resistance according to the seawater heat conduction thermal resistance and the convective heat transfer thermal resistance. Compared with the prior art, on the basis that the average convective heat transfer coefficient of the surface of the submarine cable is obtained, the convective heat transfer thermal resistance is obtained according to the average convective heat transfer coefficient, the seawater environment thermal resistance is dynamically adjusted according to the seawater thermophysical characteristics and the flow speed and temperature of ocean current, and accurate calculation of the seawater environment thermal resistance is achieved.

The invention discloses a transformer design method and system based on a hierarchical genetic algorithm and a medium, and belongs to the field of transformer design. The method comprises the steps that a structural hierarchical model of an amorphous alloy three-dimensional roll iron core transformer is constructed based on transformer parameters; inputting the structure layering model into a preset multi-physics field coupling simulation model, calculating iron core no-load loss power and winding load loss power, and determining a simulation temperature field in combination with the amorphous alloy iron core thermal conductivity and a dynamically calibrated boundary convective heat transfer coefficient; according to the sequence of the three-dimensional roll iron core layer, the winding layer and the oil duct layer, hierarchical genetic algorithm optimization is executed to obtain an optimization scheme, iterative simulation is conducted on the optimization scheme until an obtained simulation result meets a first preset condition, and the amorphous alloy three-dimensional roll iron core transformer is constructed based on the determined target structure parameters. And the design rationality and the operation safety of the amorphous alloy three-dimensional roll iron core transformer can be improved.

The utility model discloses a waste gas waste heat recovery device for a setting machine. The waste gas waste heat recovery device comprises a box body, a heat exchange piece and a ventilation assembly, the left end and the right end of the box body are open. The multiple sets of heat exchange pieces are arranged in the box body front and back at intervals, and the internal space of the box body is divided into a plurality of hot air channels extending left and right. A fresh air channel which extends leftwards and rightwards and is provided with openings in the left end and the right end is formed in the heat exchange piece; the heat exchange piece is provided with a heat conduction side wall isolated between the fresh air channel and the hot air channel. The heat conduction side wall is of a wavy structure extending left and right. The two ventilation assemblies cover openings in the two ends of the box body in a sealing mode and are each provided with a fresh air opening communicating with the fresh air channels and a hot air opening communicating with the hot air channels. Heat exchange can be carried out in a two-way convection heat exchange mode, the heat exchange efficiency is high, oil dirt and soft flocks are not prone to being accumulated, blocking is not prone to being formed, and the operation requirement of the setting machine is effectively met.