281 results about "Thermal coefficient" patented technology

The invention discloses a thermal insulation performance detection method and system for a composite wallboard, and relates to the technical field of building material detection, and the method comprises the steps: dividing a composite wallboard sample into a plurality of grids, setting an inversion starting point for each grid according to initial data, starting an inversion algorithm to gradually adjust the heat conductivity coefficient of each grid, and generating a heat conductivity coefficient distribution diagram, calculating the average heat conductivity coefficient and the overall thermal resistance value of the sample; the test platform applies full-automatic thermal excitation and sound wave excitation to a sample, collects sound signals and thermal imaging data related to internal defects of the composite wallboard, calculates the optimal matching time point of the sound signals and the thermal imaging data, and extracts defect related characteristics in the sound signals and temperature anomaly characteristics in thermal imaging in a double-flow processing mode. Generating a comprehensive defect distribution diagram, and comparing the comprehensive defect distribution diagram with the heat conductivity coefficient distribution diagram and the average heat conductivity coefficient to obtain preliminary judgment; through acoustic-thermal multi-mode cooperative detection, the spatial distribution of tiny defects in a sample is accurately positioned, and the influence of the tiny defects on the heat-conducting property is judged.

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 discloses a PINN-based transformer convective heat transfer coefficient acquisition method, system and device and a medium, and relates to the technical field of transformers, and the method comprises the steps: building a three-dimensional thermal field simulation model based on transformer structure parameters, obtaining temperature field data through multi-physics field coupling simulation, building a sample set, training a physical information neural network model, and obtaining the convective heat transfer coefficient of a transformer. A loss function is defined, through weight adjustment and optimization algorithm training, loss change is dynamically monitored, convective heat transfer coefficient distribution is inversed, an inversion coefficient is substituted into a thermal model for forward calculation, iterative optimization is performed through comparison with independent measurement data, and accuracy and applicability are verified through actually measured temperature data. According to the method, the dependence on experimental data is reduced, the high-precision and high-efficiency acquisition of the convective heat transfer coefficient of the spatial change of the transformer is realized, and a reliable technical means is provided for thermal design and state evaluation of the transformer.

The invention provides a material heat conductivity coefficient measuring device and a heat conductivity coefficient measuring method, and the method comprises the following steps: determining parameters of a to-be-measured material sample, building a test environment model, arranging the to-be-measured material sample on the heat conductivity coefficient measuring device in a matching manner, and testing under the test environment model. According to the temperature change and state change parameters of the to-be-measured material sample, the heat conduction performance and the heat conduction coefficient of the to-be-measured material sample are determined, the heat conduction coefficient measuring device comprises a fixing mechanism, a heating mechanism and a temperature sensing mechanism, and the strip-shaped to-be-measured material sample is placed on the fixing mechanism; one end of the sample is heated by the heating mechanism, the surface temperature change parameter of the sample is sensed by the temperature sensing mechanism, the heat-conducting property of the sample is judged, the test efficiency is effectively improved by simplifying the test equipment and the test method, and the device is applicable to materials of different specifications and has the advantages of simplicity in operation, high applicability, remarkable reduction of research and development cost and the like. And popularization and implementation are facilitated.

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 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.

Provided herein are compositions of solid-state ionically conductive composite materials that include particles of an inorganic phase in a matrix of an organic phase having a positive thermal coefficient of expansion. When the temperature of the composition is below a cutoff temperature Tc, the composition is ionically conductive and may be used as an electrolyte. As the temperature increases above Tc, the organic phase expands and reduces the ionic conductivity of the composition.

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 invention provides a primary and secondary fusion complete ring main unit cooling device dynamic optimization method, and belongs to the technical field of ring main unit cooling optimization based on deep learning. A dynamic monitoring data set comprising a ring main unit thermal field monitoring data set and a thermal coefficient monitoring data set is constructed, the thermal field monitoring data set is constructed through five-view infrared image splicing and high-density thermocouple calibration, and the thermal coefficient monitoring data set is constructed through combination of mechanical data such as vibration and stress and manual calibration; constructing a thermal coefficient sensing model, and evaluating a heat production coefficient and a heat dissipation coefficient of the ring main unit in real time based on force field data through three-branch feature extraction and adaptive weighted fusion; constructing a thermal field sensing model, and adopting an extractor-reconstructor architecture and a cross-layer feature fusion device to realize full-scene temperature sensing; and a cooling optimization control algorithm is designed, thermal field distribution and thermal coefficients are combined, self-adaptive adjustment is performed on seven cooling device parameters such as the fan rotating speed and the liquid cooling flow speed through multi-objective optimization, and refined cooling control is realized.

The invention belongs to the technical field of special alloy hot rolling, and particularly relates to a refined subsection cooling method and device for a titanium plate hot mill roller. Comprising the steps that S1, a temperature field distribution function of a roller during rolling and a temperature field distribution function of the surface of the roller during cooling are obtained; s2, a heat exchange coefficient distribution function of the heat exchange coefficient required by the roller in the axial direction of the roller is obtained; s3, a distribution function of the cooling water flow in the axial direction of the roller is obtained; s4, according to the distribution function of the cooling water flow in the axial direction of the roller, the roller is divided into a plurality of cooling sections in the axial direction of the roller, and different cooling sections correspond to different cooling water flow difference threshold values; and S5, a non-contact temperature sensor is arranged at the center position of each cooling section, an independent roller cooling mechanism is configured for each cooling section, and the flow of cooling water is adjusted. Independent cooling control over different cooling sections of the roller is achieved, and the plate shape quality of a titanium plate is improved.

The invention provides a thermal analysis method and system for a ceramic matrix composite high-pressure turbine blade. The method comprises the steps that S1, a grid is generated based on a turbine blade profile; s2, calculating and assigning a heat conductivity coefficient tensor according to the generated grid; the heat conductivity coefficient tensor comprises the heat conductivity coefficient tensor of the blade surface, the heat conductivity coefficient tensor of the interior of the blade body and the heat conductivity coefficient tensor of the rib plate; and S3, carrying out heat conductivity coefficient tensor assignment, carrying out final heat conduction or gas-solid-heat coupling calculation, and outputting a calculation result. According to the invention, a set of assignment method for the anisotropic heat conductivity coefficient of the CMC material is established, an automatic assignment system for the anisotropic heat conductivity coefficient is established by adopting MATLAB and Fluent UDF, the problem of rapid assignment of the anisotropic heat conductivity coefficient of the CMC high-pressure turbine guide vane is solved, and technical support is provided for coupling thermal analysis and research of the CMC high-pressure turbine guide vane.

The invention relates to a streaming pipe, a streaming heat exchanger, a streaming heating pipe and application thereof.The streaming pipe comprises a first pipe fitting which is communicated end to end to form a first channel, the first channel is provided with a first partition assembly, and the first partition assembly divides the first channel into at least two independent flow channels; the first separation assembly is spirally distributed in the axis direction of the first pipe fitting, the first separation assembly is attached and fixed to the inner wall of the first pipe fitting in a diameter reducing extrusion mode, and meanwhile a gap between the inner wall of the first pipe fitting and the first separation assembly is eliminated in the diameter reducing extrusion mode. According to the heat exchanger, the first pipe fitting is divided into a plurality of independent partition assemblies through the first partition assemblies, the heat exchange stroke can be increased, meanwhile, the first partition assemblies and the second partition assemblies are spirally distributed in the axis direction, turbulent flow can be generated on fluid, the fluid spirally advances around the axis, the heat exchange coefficient of the fluid and the pipe wall is increased, and the heat exchange efficiency is improved; meanwhile, the first separation assembly and the second separation assembly can improve the strength of the heat exchanger.

The invention relates to the technical field of material mechanical property testing, and provides an ultralow-temperature slow strain mechanical tensile test platform which comprises a vacuum Dewar unit, a liquid helium temperature control unit, a slow strain tensile unit, a measuring unit and a control unit, the vacuum Dewar unit comprises a vacuum Dewar body and is used for providing a closed low-temperature test environment; the liquid helium temperature control unit comprises a direct injection module and a recovery module, the direct injection module is used for directly injecting liquid helium to the gauge length section of the sample for cooling, and the recovery module is used for recovering and recycling unevaporated liquid helium; the slow strain stretching unit is used for stretching a sample arranged in the vacuum Dewar body at a low strain rate; the measuring unit is arranged in the vacuum Dewar body and is used for monitoring the temperature, the force value and the strain data of the sample in real time. Liquid helium is used as a cold source, the liquid helium is directly aligned to the gauge length section of the sample through the direct injection module, and compared with a traditional liquid helium steam natural convection heat exchange mode, the heat exchange coefficient is increased, and automatic precise temperature control is achieved.

A high-thermal conductivity grout composition is provided. The composition includes a grout mixture including a cementitious material, a retarder, and a high-thermal k material that advantageously can form a pumpable slurry upon admixture with water. The retarder is present in an amount effective that delays setting of the grout mixture at a target location having a geostatic target temperature of at least 300° F. for at least two hours. The high-thermal k material is present in an amount effective such that the grout mixture has, upon setting at the target location, a thermal conductivity of at least 1 W / m° K.

The invention discloses a heat exchange system which comprises a plurality of heat exchange plates and first turbulent flow structures, the heat exchange plates are arranged in a stacked mode in the first direction, a plurality of heat exchange flow channels are formed between every two adjacent heat exchange plates, the first turbulent flow structures are arranged on the surfaces of the heat exchange plates, each first turbulent flow structure comprises a plurality of first protrusions and a plurality of first pits, and the first protrusions are arranged on the surfaces of the heat exchange plates. The multiple first protrusions and the multiple first recesses are distributed on the surface of the heat exchange plate at intervals to form multiple turbulent flow rows, and each turbulent flow row comprises the multiple first protrusions and / or the multiple first recesses. Compared with a flat plate structure, the first turbulent flow structure has the effects of increasing the local heat exchange area and enhancing the local heat exchange coefficient, and compared with a corrugated structure, the first turbulent flow structure has the characteristics that the resistance coefficient is small, and secondary flow perpendicular to the main flow direction is easily induced; and the heat exchange performance of the heat exchange system is improved.

The spinel light-weight castable is prepared by the following steps: intensively and uniformly mixing 40-80 parts by weight of light-weight aggregate, 3-10 parts by weight of activated alumina powder, 2-8 parts by weight of light-burned magnesia powder, 10-20 parts by weight of ceramic fibers and 2-8 parts by weight of magnesium aluminate spinel hollow spheres, adding 5-10 parts by weight of a composite binder, 0.5-1 part by weight of a hardening agent and 5-8 parts by weight of water, uniformly stirring again, and carrying out casting molding to obtain the spinel light-weight castable. And curing at room temperature for 24-48 hours, demolding and baking to obtain the lightweight castable which has the advantages of good anti-stripping performance, burst resistance, low heat conductivity coefficient and high strength and can serve at 1350-1600 DEG C.

The invention discloses a graphene microcrystalline far-infrared electric heating plate and a preparation method thereof. The graphene microcrystalline far-infrared electric heating plate comprises a base layer, a functional layer arranged on the base layer and a microcrystalline glass layer covering the functional layer, the base layer is formed by compounding silicon nitride ceramic and boron carbide short fibers, the volume fraction of the boron carbide short fibers is 15%-20%, the bending strength is larger than or equal to 800 MPa, and the heat conductivity coefficient is 80-100 W / (m.K); and the functional layer comprises an electric conduction and heat conduction layer and a far infrared radiation layer. The graphene microcrystal far infrared electric heating plate adopts a multi-layer composite structure, a functional main body is formed by compounding a graphene nanosheet and a hexagonal boron nitride nanotube, the square resistance is less than or equal to 100 omega / square, the heat conductivity coefficient reaches 500-800 W / (m.K), 30-second rapid thermal response is realized, and the heating response speed is increased by more than 90% compared with that of a traditional resistance wire; the far infrared radiation layer is compounded with nano titanium dioxide through tourmaline, and can stably emit far infrared rays of 8-14 microns, the emissivity is greater than or equal to 88% and is far higher than that of a common material and is less than 70%, and the blood circulation and metabolism of a human body are effectively promoted.

The invention discloses a high-temperature-resistant and high-strength aerogel heat insulation composite material and a preparation method thereof, and aims to solve the problems that a traditional aerogel composite material is low in strength and high in heat conductivity coefficient under low compression deformation in order to meet the strict requirements of the aerospace field for high-temperature-resistant and high-strength heat insulation materials. The prepared aerogel composite material has the characteristics of light weight, high strength, high temperature resistance and low heat conductivity coefficient, and has excellent mechanical strength under low deformation.

The invention provides a rotary equal-wall-temperature convective heat transfer coefficient measurement experiment system, and belongs to the technical field of rotary heat transfer experiments. The rotating arm is fixedly mounted on the rotating shaft; the test piece comprises a framework and a plurality of copper blocks, the framework is fixed on the rotating arm, the plurality of copper blocks are fixed on the framework, the plurality of copper blocks are spliced to form a cooling channel, a heating assembly is arranged on the outer wall surface, corresponding to the cooling channel, of each copper block, the heating assemblies are used for heating the copper blocks, and the heating assemblies on the copper blocks are arranged independently; and the plurality of temperature detection assemblies are in one-to-one correspondence with the plurality of copper blocks. By means of the treatment scheme, an equal-wall-temperature system with the same temperature of all copper blocks can be achieved, and any temperature distribution can also be achieved.

The invention discloses a diamond / silicon carbide composite material and an ultrasonic-assisted gradient high-pressure preparation method thereof, and belongs to the technical field of superhard composite materials. According to the method, by means of multi-grading raw material design (silicon powder of 1-100 microns, silicon carbide powder of 1-100 microns and diamond micro-powder of 10-100 microns), powder distribution is optimized in combination with ultrasonic dispersion (20-50 kHz, 200-500 W / L), gradient presintering (2-20 DEG C / min, and staged temperature control) is carried out under inert gas protection, and multi-directional high-pressure sintering (3-5.5 GPa, 1200-1500 DEG C) is carried out through a cubic press. The density of the obtained composite material is larger than or equal to 96%, the heat conductivity coefficient is larger than or equal to 480 W / (m.K), the interface bonding strength is improved to 150 MPa or above, and the problems of interface layering and stress concentration in a traditional technology are remarkably solved. The method is high in process parameter controllability and suitable for the high-end fields of aerospace, electronic device heat dissipation, high-temperature furnace lining materials and the like.

The invention provides a concrete structure construction period temperature deformation cracking risk prediction method comprising the following steps: S1, temperature monitoring: after concrete structure pouring is completed, continuously monitoring a concrete internal and surface temperature development curve; s2, inverting thermal parameters, namely inverting an equivalent adiabatic temperature rise curve and an equivalent thermal diffusivity of concrete under a field condition and a convective heat transfer coefficient of the concrete under a template in-place condition by combining a monitoring temperature, an environment temperature and a heat preservation condition and utilizing a heat conduction equation inverse analysis method; s3, prediction in the form removal period and the later period: inputting the thermal parameters obtained by inversion into finite element software, performing temperature field prediction, switching a boundary condition to be a heat exchange coefficient after form removal, and simulating subsequent temperature evolution; s4, risk index calculation and grading: calculating a risk index, and quantifying or grading the cracking risk according to a set threshold value; s5, performing construction decision linkage; according to the method, the thermal parameters of the concrete can be quickly inverted by utilizing early field measured temperature data.

The invention is applicable to the technical field of phase-change materials, and provides a semi-solid phase-change composite material for heat conduction of aerospace electronic devices and a preparation method thereof.The composite material is prepared from modified paraffin, modified polyethylene glycol, modified pyroxene powder, modified graphene and heat-conducting fiber. Through nanometer confinement and carbon quantum dot grafting, by adding modified polyethylene glycol, a dynamic cross-linked network is formed, high latent heat and zero leakage are achieved, by adding modified pyroxene powder, the surface hydroxyl density is increased, the interface shear strength is improved, the coating provides an additional heat conduction path, and the heat conduction coefficient of single particles is improved; the heat conductivity coefficient and saturation magnetization are improved, the magnetic field induced orientation arrangement efficiency is improved, graphene / fiber three-dimensional ordered distribution is achieved through magnetic field-shearing cooperation, the heat conductivity of the material is remarkably improved, the phase change energy storage capacity of the phase material is combined with the high heat conductivity of the solid-phase filler, and efficient heat dissipation is achieved.

The invention relates to the field of aero-engine heat transfer and mass transfer, and discloses a convective heat transfer coefficient integrated test method and system based on transient liquid crystal, a narrow-band thermochromic liquid crystal coating is sprayed on the surface of a test piece, and test airflow in an air inlet channel can realize temperature step through a wire mesh heater. By synchronously measuring the color developing time of a narrow-band thermochromic liquid crystal coating on the surface of a test piece and a temperature step curve of test airflow, non-contact two-dimensional test of the convective heat transfer coefficient of the test piece is realized by utilizing the corresponding relation between the color changing characteristic of narrow-band thermochromic liquid crystal and the temperature; not only can great influence on the accuracy of test data caused by asynchronous signal acquisition be avoided, but also the problems of heat conduction error and influence on flow field distribution caused by interference on fluid in the traditional test technology are avoided, and the test precision of the convective heat transfer coefficient of the test piece is ensured. And powerful technical support is provided for research on convective heat transfer characteristics of complex flow fields in the aerospace field.

The invention relates to a method for predicting nutation transmission time-varying meshing thermal stiffness of a double-arc spiral bevel gear, which comprises the following steps of: setting convective heat transfer coefficients of a gear meshing surface, a non-meshing surface and a gear end surface in an interaction module according to boundary conditions, and applying surface heat flow in a load module according to an obtained meshing area, so as to predict the nutation transmission time-varying meshing thermal stiffness of the double-arc spiral bevel gear. A heat transfer DC3D8R grid is selected as a grid type, and according to a boundary formula, a temperature field during meshing of the double-arc spiral bevel gear is finally calculated; in a Model of ABAQUS software structure simulation, a load module applies a predefined temperature field, a temperature field odb file is loaded into the Model, and structure simulation is carried out; according to the method, temperature field distribution and meshing characteristics can be combined, the time-varying meshing thermal stiffness of the nutation transmission double-arc spiral bevel gear can be accurately predicted, a theoretical basis can be provided for transmission performance evaluation and service life prediction of a gear pair, and important engineering value is provided for design and optimization of a high-performance gear transmission system.

The invention discloses a building curtain wall heat transfer coefficient detection method, system and equipment and a storage medium. The method comprises the following steps: S1, obtaining thermotechnical data of a to-be-detected building curtain wall; the thermotechnical data comprises a frame width, a frame depth, a frame interval, an outdoor panel temperature matrix, an indoor panel temperature matrix and a heat flux density matrix; s2, processing the thermotechnical data of the to-be-tested building curtain wall by adopting a pre-trained regression model to obtain heat transfer data of the to-be-tested building curtain wall; s3, calculating a frame heat transfer coefficient of the to-be-tested building curtain wall based on the heat transfer data of the to-be-tested building curtain wall; and S4, acquiring linear heat transfer data of the building curtain wall to be tested, and obtaining a curtain wall heat transfer coefficient corresponding to the building curtain wall to be tested based on the linear heat transfer data in combination with the frame heat transfer coefficient. According to the invention, rapid detection of the heat transfer coefficient of the building curtain wall can be realized, and the method has the advantages of low cost, high efficiency, relatively high precision and the like.

The invention discloses a CSP soaking pit furnace wall thermal insulation material which is of a gradient composite structure comprising an instantaneous high temperature resistant inner layer, a thermal insulation middle layer and a radiation heat exchange outer layer, and the instantaneous high temperature resistant inner layer is made of a composite material comprising nano aerogel and high temperature resistant whiskers; the heat insulation middle layer is made of a nano-particle modified ceramic fiber material; and the radiation heat exchange outer layer adopts a ceramic coating with high infrared reflectivity. The overall heat conductivity coefficient is reduced through the synergistic effect of the low heat conductivity of the inner layer, the high-temperature shrinkage resistance of the middle layer and the radiation heat dissipation performance of the outer layer, good instantaneous high temperature resistance and high-temperature stability are considered, and the heat preservation effect is remarkably enhanced; and in combination with various surface connection improvement means, a heat conduction path can be effectively prolonged, a heat bridge effect can be blocked, heat loss is further reduced, heat energy loss and operation energy consumption of the furnace body are remarkably reduced, and rapid repair is facilitated.

The application provides a design method of a blended wing body mould based on a temperature field and a curing field, and comprises the following steps: S1, establishing a 3D model of the blended wing body mould; S2, obtaining a convection heat transfer coefficient and establishing a temperature field; S3, curing a composite material structure model and establishing a curing field; S4, conducting heat conduction calculation and analysis; S5, conducting heat distribution compensation design; S6, conducting thermal strain compensation design, and confirming a final design scheme. The application effectively combines fluid simulation, a temperature field, a curing field and stress and strain simulation, makes up for the singleness of traditional methods in certain type analysis, considers the influence of actual factors to the maximum extent, proposes heat distribution compensation and thermal strain compensation according to simulation results, forms a complete design method of the blended wing body mould, improves design precision, reduces the dependence and blindness of traditional design which relies on experience design, and reduces test and production trial and error costs.

A method for quantifying and determining the sensitivity of the secondary cooling heat transfer coefficient of continuous casting based on the analytic hierarchy process belongs to the field of continuous casting technology in the metallurgical industry. The method includes: first, using the analytic hierarchy process to analyze and quantify the sensitivity of the empirical parameters in the heat transfer coefficient formula to the temperature field simulation results; second, based on the measured temperature data of the continuous casting billet in the steel plant, optimizing the empirical parameters with high sensitivity to the temperature field in the continuous casting solidification process, obtaining the heat transfer boundary conditions of the secondary cooling zone that better match the actual production process, and achieving the purpose of improving the accuracy of the temperature field simulation calculation. The analysis process of the present invention is more scientific and reasonable, and the complex evaluation problem is hierarchically decomposed to form a hierarchical structure, so that the problem evaluation is clearer, clearer and hierarchical; through parameter optimization, the evaluation factors with high sensitivity are adjusted and optimized in turn, and the estimated values ​​of the empirical parameters in the heat transfer model are corrected according to the measured temperature, and the boundary conditions of the secondary cooling zone in the heat transfer calculation are optimized, which can improve the accuracy of the numerical simulation of the temperature field and solidification process of the continuous casting billet.

The present invention provides a method for predicting the temperature field of a double-arc bevel gear nutating transmission body, comprising the following steps: step s1: making a gear meshing model; step s2: finding the contact points on the tooth surface of the double-arc bevel gear according to the tooth surface contact analysis principle TCA; step s3: calculating the relative sliding speed v 12 , maximum contact stress P max , Tooth surface friction factors f Step s4: Calculate the interpolation function for q; Step s5: Discretize the convex and concave meshing surfaces into a single contact meshing region; Step s6: Calculate the command stream; Step s7: Calculate the convective heat transfer coefficient h for different gear surfaces; Step s8: Finally, calculate the temperature field of the double-arc bevel gear with nutating transmission. This technical solution innovatively incorporates the principles of gear TCA contact analysis and APDL programming into temperature field simulation analysis. This method offers the advantages of simplicity, high efficiency, and minimal memory usage.