734 results about "Heat transfer coefficient" patented technology

The invention relates to the technical field of reaction kettle temperature control, and discloses a fine chemical engineering reaction kettle temperature intelligent control method based on self-adaptive search, which comprises the following steps: S1, data acquisition: acquiring operation data of a reaction kettle, including temperature in the kettle, jacket inlet and outlet temperature, fluid flow and valve opening signals; s2, heat balance calculation: establishing a heat balance equation based on the collected data, and calculating reaction heat release and an equivalent heat transfer coefficient; s3, updating the model; s4, predictive control solution is carried out; s5, performing adaptive search; s6, carrying out security constraint; s7, stage identification; and S8, performing control execution. The reaction heat release amount and the equivalent heat transfer coefficient are calculated in real time through linkage of a heat balance calculation module and a model updating module, online parameter identification is achieved through a recursive least square algorithm, a heat model can be dynamically corrected along with working condition changes, it is ensured that a prediction model is consistent with the actual reaction process, and the prediction efficiency is improved. And the temperature prediction precision and the reliability of control response are obviously improved.

The invention provides a performance optimization and regulation method for a high-temperature sintering furnace, and belongs to the technical field of intelligent regulation, and the performance optimization and regulation method comprises the following steps: arranging sensors in each heating area of the high-temperature sintering furnace, and monitoring the heating areas in real time; constructing a heating area operation state database, comparing the collected real-time data with a preset sintering process parameter range, and analyzing to obtain a performance analysis set of each heating area; establishing a three-dimensional heat conduction model, simulating heat flow distribution of each heating area under different heating powers and temperature settings, determining a thermal coupling effect of each heating area in different stages, and determining a heat transfer coefficient between adjacent heating areas; and an initial strategy of the high-temperature sintering furnace is determined, the initial strategy is optimized based on the auxiliary parameters of all the heating areas, and all the heating areas of the high-temperature sintering furnace are regulated and controlled according to the optimization strategy. The problems of inaccurate temperature control, single parameter analysis, insufficient thermal coupling effect processing and the like in the traditional regulation and control technology are effectively solved.

The invention discloses an optimization method and system of a motor thermal management system and a motor, and the optimization method comprises the steps: building a one-dimensional motor thermal management system simulation model, and obtaining one-dimensional simulation data based on the one-dimensional motor thermal management system simulation model; optimizing the original motor thermal management system based on the one-dimensional simulation data to obtain an optimized first motor thermal management system; optimizing the optimized first motor thermal management system to obtain an optimized second motor thermal management system; the optimized second motor heat management system is tested, and heat transfer coefficients and targeted optimization points of all cooling channels under different flows are obtained; and performing parameter adjustment optimization on the one-dimensional motor thermal management system simulation model to obtain an optimized third motor thermal management system, and performing simulation verification on the optimized third motor thermal management system. According to the method, one-dimensional simulation is combined with three-dimensional simulation, so that the development time and computing resources can be greatly shortened on the premise of ensuring the accuracy of all working conditions.

The invention discloses an existing building outer wall internal and external heat insulation energy consumption optimization method based on a building model, and belongs to the technical field of building design. In order to solve the problems of insufficient data comprehensiveness and incomplete thermal insulation scheme evaluation, the thermal insulation performance of a building can be evaluated more accurately by checking an outer wall structure on site, recording material types, damage degrees and the current situation of a thermal insulation layer and combining scientific methods such as thermal resistance testing and heat transfer coefficient measurement; digitization and visualization of building information are achieved through the BIM technology, historical energy consumption data are collected from multiple data sources and systematic arrangement and classification are carried out, the readability of the data is improved, rapid import and analysis can be conveniently carried out in energy consumption simulation software, and therefore the energy consumption condition of a building is reflected more accurately; according to the method, comprehensive coverage of multiple possibilities is achieved, the influence of different heat preservation schemes on energy consumption can be evaluated more comprehensively, differentiated design is conducted on the thickness of the heat preservation layer based on the energy consumption simulation result, and the heat preservation performance of a building is effectively improved.

The invention belongs to the technical field of building energy conservation, and provides a real-time inversion method and system for a heat transfer coefficient of a building envelope, and the method comprises the steps: obtaining surface parameters and environment parameters of the building envelope; based on the obtained parameters and the physical neural network model, taking the minimum joint loss function based on the physical mechanism as a target, and performing inversion to obtain the optimal heat conductivity coefficient of the building envelope; and calculating the heat transfer coefficient of the building envelope according to the obtained optimal heat conductivity coefficient of the building envelope, and completing real-time inversion of the heat transfer coefficient of the building envelope.

The invention discloses a micro-channel flow boiling enhanced heat transfer device based on a bionic structure. The device comprises a micro-channel structure base body, a channel inner surface wettability regulation and control layer, a working medium inlet and a working medium outlet. A bionic structure microchannel is arranged in the microchannel structure base body, the inner wall of the microchannel structure base body is provided with a micron-scale or nanometer-scale texture structure, the bionic structure microchannel is composed of a main channel and branch channels of at least three levels of fractal hierarchical structures, the width ratio of the branch channels is 1: 0.2-0.5, and the length range of the branch channels is 2-10 mm. And the contact angle gradient of the wettability regulation and control layer on the inner surface of the channel is 5-120 degrees. The tail end of each branch channel is provided with a bubble capturing groove with the diameter of 5-10 mm and the depth of 5 mm. The device can improve the boiling heat transfer coefficient, reduce the flow resistance and improve the bubble generation and desorption process, and is suitable for the fields of heat dissipation of high-heat-flux electronic equipment, aerospace heat management, chemical reaction and the like.

The invention relates to the technical field of ice and snow environment simulation, and discloses an ice and snow environment simulation test method based on multi-field coupling. The method comprises the following steps: collecting a dynamic multi-field data set in a target ice and snow environment, wherein the dynamic multi-field data set covers a periodic temperature change sequence, a relative humidity fluctuation sequence and surface ice layer thickness real-time monitoring data; carrying out multi-physics field coupling numerical simulation processing to generate coupling field distribution characteristics including an axial heat conduction coefficient gradient, a radial fluid velocity cumulant and a tangential ice layer stress fluctuation coefficient; calling a pre-configured ice and snow growth simulation model to execute ice layer evolution analysis to obtain an ice layer growth rate prediction value and a high-risk icing area position identifier; performing environment dynamic compensation correction on the ice layer growth rate prediction value by using the correlation characteristic of the relative humidity fluctuation sequence and the material heat capacity attribute; based on the high-risk icing area position identification, scientific guidance is provided for related protection in the ice and snow environment.

The invention relates to the technical field of plate heat exchange, in particular to a calculation method of a plate heat exchanger, which comprises the following steps: S1, converting pressure and temperature data into pressure and enthalpy values, setting boundary conditions, determining a hot side and a cold side of the heat exchanger according to the boundary conditions, and setting non-boundary values by segmentally applying energy conservation to obtain geometric parameters and empirical constants; s2, obtaining physical property parameters of the fluid by using a two-dimensional grid linear interpolation method, and obtaining the physical property parameters of the fluid by taking the enthalpy value and the pressure as coordinates; and S3, determining the effective area required by each section, and obtaining a local heat transfer coefficient and a pressure drop when the volume requirement is met under the fluid physical property parameters and the channel flow velocity. According to the method, the problem that the calculation speed of a calculation program is low when the performance of the brazing sheet heat exchanger is evaluated under different working conditions is solved through unique grid division in the plate heat exchanger and rapid calling of fluid physical properties, the calculation error value is effectively reduced, an accurate check result is obtained within ten iteration steps, and the calculation cost is saved.

The invention discloses an intelligent soot blowing control method and system in a multi-coal combustion state, and relates to the technical field of boiler control, and the intelligent soot blowing control method comprises the steps that a digital model of a boiler control system is established, and input and output measuring point positions are configured; collecting inlet and outlet flue gas and working medium parameters of each heating surface of the boiler through a sensor; on the basis of the real-time parameters, operation performance indexes of the boiler are calculated; according to the operation performance indexes, monitoring the dirt state, and calculating the cleaning factor, the heat transfer coefficient and the total heat transfer amount of each heating surface; and based on the monitoring result of the soot state, determining the optimal soot blowing time and soot blowing period by using an intelligent algorithm, and automatically controlling the soot blowing operation of each heating surface. According to the intelligent soot blowing control method in the multi-coal combustion state, the operation efficiency of the boiler is improved, the energy consumption is reduced, the service life of equipment is prolonged, meanwhile, the adaptability and stability of the system to the multi-coal combustion state are enhanced, and the overall performance and economic benefits of the boiler are remarkably optimized.

The invention provides a calculation method, device and equipment for a heat transfer coefficient of a railway vehicle and a medium, and the method comprises the steps: for each structure model in a thermal resistance model of the railway vehicle, calculating a plurality of heat transfer layer thermal resistance values corresponding to the structure model, and calculating a structure thermal resistance value of the structure model based on the plurality of heat transfer layer thermal resistance values; for each area model, calculating the area thermal resistance value of the area model based on the structure thermal resistance values of the plurality of structure models corresponding to the area model; and calculating the total thermal resistance value of the rail vehicle based on the regional thermal resistance value of each regional model, and calculating the heat transfer coefficient of the rail vehicle based on the total thermal resistance value. By means of the method and device, the efficiency and accuracy of calculating the heat transfer coefficient of the railway vehicle are improved, and the research and development period can be shortened.

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

The 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 discloses a control method for steam condensate waste heat recovery and waste water heating, a control device for steam condensate waste heat recovery and waste water heating, control equipment and a computer readable storage medium. The thermal load and the logarithmic average temperature difference are calculated based on the energy conservation principle, and the needed heat exchange area is calculated through a logarithmic average temperature difference method. A flow combination scheme of the plate heat exchanger is determined according to the heat exchange area and the flow parameters, a steam condensate side adopts a single flow, and a waste water side adopts asymmetric configuration of double flows or multiple flows so as to adapt to the flow difference of the two sides. In addition, a real-time monitoring mechanism is further established, when the total heat transfer coefficient is decreased by more than 10%, a cleaning program is automatically triggered, continuous and stable operation of the system is guaranteed, and efficient utilization of waste heat resources is achieved.

The invention discloses a large-space temperature distribution optimization method for an electronic clean workshop, and the method comprises the steps: determining the initial design parameters of a clean room, including the design temperature difference delta Tset of the clean room, the initial arrangement rate and wind speed of a fan filter unit, and the comprehensive heat transfer coefficient K of an enclosure structure; calculating outdoor heat transfer heat flow density q; dividing the upper interlayer space into a plurality of areas, and calculating the average temperature of each area of the upper interlayer; calculating the space temperature distribution of the clean room; the maximum temperature difference delta Tmax of the clean room is calculated, and the deviation ratio delta between the maximum temperature difference delta Tmax and the designed temperature difference is calculated; when delta Tmaxgt; delta Tset or delta gt; when a threshold value is set, the heat transfer resistance of the enclosure structure, the average arrangement rate of fan filter units and the air speed are adjusted; and outputting the adjusted heat transfer resistance of the enclosure structure of the clean room, the average arrangement rate and wind speed of the fan filter units and the arrangement rate of the fan filter units in the partial area of the clean room. According to the method, the temperature distribution of the large-space clean room can be quickly calculated, and the temperature distribution of the large-space clean room can be accurately controlled.

The invention relates to a two-dimensional calculation method for the performance of a plate-fin precooler, and the method comprises the steps: S1, building a geometric model of the plate-fin precooler, and dividing Nh * Nc heat transfer calculation units; s2, constructing a heat transfer calculation model and a pressure drop calculation model; s3, setting structural parameters, initial cold fluid physical parameters and initial hot fluid physical parameters; s4, assigning the initial thermal fluid physical parameters to the heat transfer calculation unit (i, 1), and assigning the initial cold fluid physical parameters to the heat transfer calculation unit (1, j); s5, assigning i = j = 1; s6, calculating the heat transfer coefficient of the heat transfer calculation unit; s7, the cold and hot fluid heat exchange amount and pressure drop of the heat transfer calculation unit are calculated, and cold and hot fluid physical parameters of the heat transfer calculation unit (i, j + 1) are obtained; s8, updating the assignment j to be equal to j + 1, and repeating the steps S6 to S7 until j is equal to Nc; and S9, updating the assignment i = i + 1, j = 1, and repeating the steps S6 to S8 until i = Nh to complete solution.

The invention discloses a multistage phase change air cooling coupling server cooling system, and belongs to the technical field of server cooling. According to the liquid cooling system, a liquid cooling and air cooling coupled cooling heat dissipation mode is adopted, the energy efficiency loss rate can be effectively reduced, a natural cold source is utilized to the maximum extent, and the heat conductivity and the specific heat capacity of liquid are far higher than those of air, so that the liquid cooling system can transfer heat more effectively, meanwhile, the liquid cooling system can provide more stable and uniform temperature control, and the service life of the system is prolonged. According to the invention, the heat transfer coefficient is improved by using the phase change technology, so that the system can still keep a stable temperature during high-load operation.

The invention provides an oil slurry heat exchanger scaling early warning method, device and equipment, a medium and a descaling system, and belongs to the field of heat exchanger scaling prediction.The early warning method comprises the steps that operation parameters of an oil slurry heat exchanger are obtained; determining an actual total heat transfer coefficient and actual heat exchange efficiency based on the operation parameters of the slurry oil heat exchanger; based on the actual total heat transfer coefficient and the actual heat exchange efficiency, a scaling early warning index is determined; and generating scaling early warning information based on a comparison result of the scaling early warning index and the scaling early warning threshold value. The early warning device comprises a data acquisition unit, a data processing unit, an early warning index determination unit and an early warning information generation unit; the descaling system comprises a cleaning device, a control device and early warning equipment. Through the method provided by the invention, a more accurate early warning scaling condition can be obtained, and the operation reliability of the oil slurry heat exchanger is improved.

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.

A probe card MLO pad point position contraction design simulation method is characterized by comprising the following steps that 1, a temperature field simulation model is established, and a temperature simulation result file is obtained and comprises the steps that 1.1, temperature data are actually measured; step 1.2, establishing a temperature field simulation model by adopting a finite element analysis method, modeling an air fluid part in the cavity into a solid air medium by using a steady-state thermal analysis module, and endowing the solid air with a heat transfer coefficient; calibrating heat transfer coefficients in the temperature field simulation model: a heat transfer coefficient A, a heat transfer coefficient B and a heat transfer coefficient C; 1.3, correcting and iterating the heat transfer coefficient A, the heat transfer coefficient B and the heat transfer coefficient C; 1.4, obtaining a temperature field simulation result file of the probe card at the specified high-temperature loading temperature; 2, establishing a physical field simulation model, and obtaining a simulation pad displacement result; and step 3, calculating to obtain a new pad point position coordinate for iterative production.

The invention provides an existing building BEM modeling method, system and device based on an infrared thermal image of an unmanned aerial vehicle and a medium, and belongs to the technical field of building modeling. Generating a three-dimensional geometric model of the building main body; screening out an external window candidate area by analyzing RGB value characteristics of the visible light point cloud, generating a window opening three-dimensional boundary, and determining an internal surface temperature and an indoor air temperature through internal surface infrared temperature measurement and area weighted integration; and based on the temperature data and the building envelope construction parameters, inverting heat transfer coefficients of the outer wall, the roof and the outer window, and finally constructing a building energy consumption model in combination with the weighted average K value. According to the method, precise operation from building geometric model construction to thermal parameter acquisition and then building energy consumption model construction is realized. The efficiency and precision of BEM modeling of the existing building are improved, and a scientific basis is provided for building energy-saving transformation, energy consumption evaluation and the like.

The invention belongs to the technical field of lithium ion battery thermal management, and particularly discloses a pump-free self-driven immersed battery thermal management system and a control method, which realize high-speed jet flow of a cooling liquid and rapid reduction of the surface temperature of a battery through the height difference between a condensation cavity and a battery cavity by a jet flow impact technology. A thermal boundary layer is broken through the cavitation effect, the heat transfer coefficient is remarkably increased, and the transient heat dissipation requirement of high-rate charging and discharging is met. The condensation cavity cooperates with the intelligent control module to ensure uniform temperature distribution of the battery pack. Based on real-time regulation and control of sensor feedback, system response time is shortened, and temperature lag is avoided. The separation design of the battery cavity and the condensation cavity simplifies the traditional same-cavity structure, reduces the circulation resistance of the working medium, and guarantees the long-term stable operation of the system. Phase change heat absorption, intelligent control, potential energy driving and ultrasonic enhancement are fused, the energy efficiency limitation that traditional liquid cooling depends on external pump work is broken through, system power consumption is reduced, module temperature difference is effectively controlled, and thermal runaway response time is shortened.

The invention discloses an ultra-high voltage reactor shell convective heat transfer coefficient iterative calculation method and device, and the method comprises the steps: building a control equation of a temperature fluid field of an ultra-high voltage reactor, and building a function expression for obtaining a comprehensive convective heat transfer coefficient; the comprehensive convective heat transfer coefficient comprises a convective heat transfer coefficient under a natural convection condition and an equivalent radiation heat transfer coefficient, the comprehensive convective heat transfer coefficient is corrected step by step through multiple iterations based on a control equation of a temperature fluid field until the comprehensive convective heat transfer coefficient converges, the temperature difference between the wall surface and the external fluid is obtained, and the temperature difference between the wall surface and the external fluid is obtained. And taking the converged comprehensive convective heat transfer coefficient as a final convective heat transfer coefficient. According to the method, the equivalent radiation convective heat transfer coefficient is provided, the comprehensive convective heat transfer coefficient is obtained by combining the convective heat transfer coefficient under the natural convective heat transfer condition, and the accurate temperature difference between the wall surface and the external fluid is obtained through multiple times of iterative calculation.

The invention discloses a fan coil abnormal state diagnosis method and system, and the method comprises the steps: obtaining a fan current waveform and a coil vibration signal, and building a heat exchange efficiency reference based on a motor load change characteristic and a heat exchange tube vibration mode; identifying an efficiency sudden drop area, positioning a heat exchange dead zone expansion range, generating heat transfer coefficient jump data, and determining a heat exchange abnormal position table; obtaining temperature difference of supply water and return water and opening change of a water valve, and forming waterway unbalance characteristics through coupling analysis of water flow pulse characteristics and flow state conversion points; identifying an airflow field offset based on the heat exchange abnormal position table and the waterway imbalance feature, determining a diagnosis focusing area and generating a layered detection sequence; carrying out active and passive damage classification, extracting a damage development rate, and generating a damage superposition coefficient; and a fault coupling amplification area is identified, damage synergistic effect data is generated through chain propagation analysis, comprehensive diagnosis of the abnormal state of the fan coil is completed, and accurate identification of multiple abnormalities and accurate positioning of fault root causes are realized.

The invention provides an energy-saving equipment data management method and system based on a block chain. A temperature sensor and an ultrasonic detection device are arranged, building wall surface heat radiation distribution, internal heat transfer coefficient change data and a pipeline three-dimensional heat loss positioning map are collected respectively, and a dynamic thermal performance data set is constructed in combination with the block chain technology. And performing spatial overlay analysis on the heat conduction path of the wall and the heat loss point of the pipeline, and identifying spatial correlation characteristics of the two. And meanwhile, based on an encrypted energy efficiency fluctuation event record uploaded by a block chain node, dynamic collaborative optimization of a thermal buffer compensation value, a pipeline correction coefficient and an energy efficiency compensation weight is realized through timestamp matching, and finally an intelligent instruction set is generated to regulate and control energy-saving equipment in a building in real time. According to the technical scheme, the comprehensive energy efficiency of the building energy-saving equipment is remarkably improved.

The invention provides an existing building door and window glass curtain wall heat transfer coefficient field detection and evaluation method and system, and the system comprises a data collector which is used for receiving and processing the data of a temperature sensor and a heat flow meter, and carrying out the data analysis; the data line is used for connecting the temperature sensor and the heat flow meter to the data collector; the temperature sensor is used for collecting indoor and outdoor air temperature and surface temperature of each part of the glass curtain wall in real time; the heat-flow meter is used for collecting heat-flow density of glass and a window frame in real time; the data collector calculates the heat transfer coefficient of the whole window by calculating the heat transfer coefficient of the middle of the glass panel, the heat transfer coefficient of the window frame and the heat transfer coefficient of the glass edge and adopting an area weighted average method. Through reasonable arrangement of the sensors and the heat flow meters, selection of a proper measurement time period and an efficient data processing method, accurate measurement and comprehensive evaluation of the heat transfer coefficient of the existing building door and window glass curtain wall are realized, and more reliable and practical data support is provided, so that the energy-saving design and transformation effects of the building are improved.

The invention relates to the technical field of heat exchangers, and particularly discloses an energy-saving plate-fin heat exchanger which comprises a box body, a first fin plate group, a second fin plate group, a partition plate and a mounting table, a first edge sealing plate and a second edge sealing plate are arranged on the partition plate, a first driving mechanism is arranged on the first edge sealing plate, a second driving mechanism is arranged on the second edge sealing plate, and the mounting table is arranged on the box body. A waste heat utilization mechanism is arranged in the mounting table; the first driving mechanism can adjust the length of the heated channel, and the second driving mechanism can adjust the length of the heating channel, so that the flow velocity of the heated liquid and the heating liquid is increased, the turbulence degree of the heated liquid can be enhanced by increasing the flow velocity, a thermal boundary layer is destroyed, the heat transfer coefficient is increased, and the heating efficiency is improved. Therefore, the heating effect on the heated liquid is improved, the liquid outlet temperature of the heated liquid can be controlled more accurately, the waste heat utilization mechanism can further utilize waste heat carried by the heating liquid output from the box body, and the energy utilization rate is increased.

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 relates to the field of single-crystal high-temperature alloy directional solidification casting defect prediction, in particular to a single-crystal blade freckle defect prediction method based on a large-module casting technology, which comprises the following specific steps of: establishing a 1 / 8 model of a large-module casting system by using modeling software; thermophysical parameters of the single-crystal high-temperature alloy are calculated, and the heat exchange coefficient among the casting, the mold shell and the water cooling disc in the numerical simulation process is determined in combination with related literatures; carrying out directional solidification numerical simulation, analyzing the change of the morphology of the pasty area in the solidification process, and counting the inclination angle of the pasty area of each part of the casting; establishing a Rayleigh number prediction formula, and comparing and analyzing a freckle high inclination area of a simulation result and a freckle occurrence position of an experiment result; and improving a Rayleigh number prediction formula by combining the inclination angle of the pasty area and the transverse temperature gradient value to obtain a Rayleigh number prediction result with more accurate prediction. According to the method, the position and tendency of freckles possibly appearing on the casting are predicted in advance by means of numerical simulation, and the freckle defect is avoided.

The invention relates to the technical field of farm house construction, in particular to a farm house construction method based on combined prefabricated wallboards, which comprises the following steps: pre-burying bolts in foundation concrete of an assembly site according to a farm house prediction model, and sequentially mounting steel columns, steel beams and floor support steel to form a steel structure frame; pre-splicing is carried out; a wallboard edge abrasion model is determined, and the splicing hot air temperature is adjusted; determining a wallboard structure stability processing mode according to the stress distribution diagram, wherein the wallboard structure stability processing mode comprises the step of adjusting the dislocation angle of sawteeth at the edge of the wallboard when the wallboard is spliced, or determining the splicing gap width of rock wool in the wallboard according to the maximum heat transfer coefficient; the steel structure frame and the wall plate structure are spliced according to the splicing hot air temperature and the wall plate structure stability treatment mode to form the farm house outer maintenance structure; and the built-in structure is installed on the farm house outer maintenance structure to form the combined farm house. The structure stability and the heat preservation performance of the farm house are improved.