24 results about "Steady state heat transfer" patented technology

The invention provides a contact type thermal resistance dynamic measurement system and a measurement method, and belongs to the technical field of thermal resistance measurement. According to the method, accurate characterization of the heat conduction characteristic of a complex interface is achieved through multi-physical field data fusion and a real-time compensation mechanism, firstly, initial reference pressure is set based on contact surface three-dimensional shape extraction and material attributes, and heat-force-flow multi-source data are synchronously collected through a multi-parameter measurement execution module; combining a weighted Kalman filtering algorithm and a phase change-seepage coupling correction model, and dynamically optimizing heat flow density data to eliminate phase change latent heat and micro-flow interference; and for abnormal fluctuation, a combined control strategy of fuzzy PID pressure regulation, high-frequency ultrasonic liquid film stabilization and porous silica gel vibration suppression is adopted, and + / -1% steady-state thermal resistance output is achieved. According to the method, cloud parameter iterative optimization and a fault self-diagnosis mechanism are integrated, and the robustness and reliability of measurement in dynamic high-noise scenes such as lithium battery pole piece expansion and geothermal wellbore unsteady-state heat transfer are remarkably improved.

The invention discloses a building thermal load calculation method based on a GRU-Res network and a giant regular ensemble. The method is realized based on a building thermal load calculation model based on a GRU-Res network and a giant regular ensemble. The construction method of the model comprises the following steps: S1, obtaining parameters of a building envelope, a meteorological data matrix and a building thermal load historical operation data matrix; s2, solving the one-dimensional steady-state heat transfer equation to obtain heat consumption of the building envelope, and constructing a heat consumption matrix of the building envelope; s3, constructing a penetration load calculation model based on a giant regular ensemble theory, solving the model to obtain penetration loads at all moments, and constructing a penetration load matrix; s4, constructing a feature matrix based on the heat consumption matrix, the penetration load matrix and the meteorological data matrix; a GRU-Res network model is built; and S5, training a GRU-Res network by taking the feature matrix as input and taking the building thermal load historical operation data matrix as a label, and finally obtaining a calculation model. According to the method, the precision and efficiency of building thermal load calculation can be remarkably improved.

The invention discloses an intelligent transportation and storage supervision method, and relates to the technical field of vehicle transportation and storage, the maximum allowable temperature difference and the steady-state heat transfer temperature difference are set, so that the temperature change outside a carriage also serves as a judgment condition for the action of a temperature control module, and the control module can clearly know the thermal resistance coefficient and the thermal insulation performance of a vehicle; the heat preservation action is performed in advance in the subsequent face of temperature fluctuation; through the arrangement of the tunnel mode, when the vehicle transports drugs and other objects sensitive to temperature, temperature shock preparation can be made in advance, different schemes can be executed according to different tunnel types and tunnel lengths, the intelligence and dynamics of the transportation vehicle are improved, and the transportation efficiency is improved. The influence on the goods and the temperature control system after the external temperature changes drastically is greatly improved, the reject ratio of the goods in the compartment due to transportation is reduced, and the service life of the temperature control system is prolonged.

The invention discloses a ground source heat pump heat exchanger coupling performance simulation algorithm based on an unsteady-state numerical model, and the algorithm comprises the following steps: S100, designing a triple iteration algorithm, and achieving the simulation of receiving the load of a heat exchanger and calculating the on-way temperature and the pipe wall temperature of a fluid at each time step; step S200, designing a quadruple iterative algorithm to realize simulation of receiving heat pump load, calculating fluid on-way temperature and pipe wall temperature, and calculating backfill and rock-soil temperature; according to the method, the assumption of steady-state heat transfer in the hole is abandoned, and the unstable-state heat transfer models are established in fluid, pipe walls, backfill materials in the hole and rock soil areas outside the hole, so that the method is more in line with physical practical conditions and can accurately accord with measured values even in 30s-level short-time-step simulation.

The embodiment of the invention provides a temperature field simulation method, device and equipment of an engine, a medium and a product. The method comprises the steps of firstly obtaining rated power data of a target engine; determining target thermal load data corresponding to each target area of the target engine according to the rated power data and a predetermined fitting function of thermal load and power; further calculating a thermal boundary condition of the target engine based on a simulation algorithm; mapping the thermal boundary condition to a temperature field analysis model corresponding to the target engine; solving a steady-state heat transfer calculation task based on a temperature field analysis model to obtain predicted heat load data of each target area of the target engine; and finally, based on the target thermal load data and the predicted thermal load data, determining whether the temperature field distribution of the target engine meets a design target, thereby improving the efficiency of engine temperature field simulation.

The invention discloses a pipeline thermal insulation performance testing device for simulating engineering meteorological environmental conditions, and particularly relates to the technical field of pipeline thermal insulation and energy conservation, the pipeline thermal insulation performance testing device comprises a closed testing cabin body, an air conditioning system, a ventilation system and a water spraying system are arranged in the closed testing cabin body, the blast output direction of the fan is the bottom port of the ventilation hood; the test pipe section is centrally distributed in the ventilation hood, a heating component and a matrix type temperature sensor are arranged in the test pipe section, and end caps are fixedly inserted into openings in the two ends of the test pipe section. According to the invention, the thermal insulation performance of the pipeline thermal insulation structure under the engineering meteorological environment condition can be tested, and the heat dissipation loss of the outer surface of the thermal insulation pipeline can be calculated through the data collected by the test pipe section under the steady-state heat transfer condition; therefore, whether the actual heat insulation effect of the pipeline heat insulation structure meets relevant standard specifications and specific engineering requirements or not is verified.

The invention discloses an image-driven heat conductivity coefficient analysis method suitable for natural gas hydrate sediments, which comprises the following steps of: gridding a representative high-definition image of the natural gas hydrate sediments to obtain a multi-phase volume fraction, a soil particle morphological characteristic parameter and a hydrate distribution mode parameter, initializing all grid units into methane gas heat-conducting properties, and analyzing the methane gas heat-conducting properties; generating a soil particle core unit, expanding the form according to the growth probability, and filling internal holes and edge gaps to form a geometric closed soil particle model; performing transient temperature field simulation on the geometric closed soil particle model, outputting mesoscopic model data, importing the mesoscopic model data into finite element software, calculating heat flux, temperature gradient and effective heat conductivity coefficients through a steady-state heat transfer equation, and iteratively generating a normal distribution statistical result of the effective heat conductivity coefficients through a Monte Carlo method; heat transfer path characterization errors caused by traditional homogeneous phase simplification are eliminated, geometrically closed soil particle model reconstruction is achieved, and heat flux calculation deviation caused by geometric defects is eliminated.

The invention discloses a method and a device for detecting heat transfer capacity by using a temperature measuring element, and belongs to the technical field of low-temperature heat transfer test.The method comprises the following steps: detecting steady-state temperature distribution in a to-be-detected state by using the temperature measuring element for a to-be-detected object; a cold source and a controllable heating element are utilized to act on the two ends of an object to be detected respectively, so that the steady-state temperature distribution of the object to be detected is consistent with the steady-state temperature distribution in a to-be-detected state, and the input power of the controllable heating element at the moment is read, namely the steady-state heat transfer amount of the object to be detected in the to-be-detected state. The use of dangerous media such as liquid hydrogen or liquid oxygen can be avoided, and the safety risk of low-temperature testing is solved; the heat transfer amount is directly obtained through an isothermal compensation mechanism, and the error of a heat transfer amount result fitted through temperature difference is eliminated; and multi-temperature-zone test can be realized, and full-temperature-zone measurement at low temperature is supported. The device can be widely applied to accurate testing of thermal performance of low-temperature systems in the fields of superconduction, spaceflight and the like.

The present invention discloses a temperature measurement method, device, circuit and blood glucose meter device for blood glucose detection. The method includes: obtaining the sensor temperatures of two temperature sensors deployed on the heat conduction path of the blood glucose meter device; judging whether the heat exchange reaches a steady state according to the change trend of the obtained sensor temperatures; when the heat exchange reaches a steady state, inputting the obtained sensor temperatures into a pre-established steady-state heat transfer model to obtain the ambient temperature; when the heat exchange does not reach a steady state, inputting the obtained sensor temperatures into a pre-established unsteady-state heat transfer model to predict the sensor temperatures when the heat exchange reaches a steady state, and inputting the predicted sensor temperatures at the steady state into the steady-state heat transfer model to predict and obtain the ambient temperature; thus, a reliable ambient temperature can be obtained, and the measurement accuracy of the blood glucose value caused by the temperature measurement error of the ambient temperature can be reduced.

The invention discloses a design method of a closed-loop two-phase pulsating heat pipe, which comprises the following steps of: 1, determining geometric parameters: determining the inner diameter size of the closed-loop two-phase pulsating heat pipe according to a selected working fluid; 2, multi-phase flow behavior simulation, wherein the gas-liquid phase change behavior and the temperature field of the closed-loop two-phase pulsating heat pipe are obtained through simulation; thirdly, experimental research is conducted, wherein the starting performance and the steady-state heat transfer characteristic of the closed-loop two-phase pulsating heat pipe are obtained through experimental analysis; and 4, establishing a response surface model: establishing the correlation between the heat transfer performance and the design and operation parameters of the closed-loop two-phase pulsating heat pipe through the response surface model, and obtaining the influence of the working fluid, the number of turns, the cooling air flow and the heat flux density on the effective heat transfer coefficient of the closed-loop two-phase pulsating heat pipe. And determining design parameters of the closed-loop two-phase pulsating heat pipe including the number of turns, the cooling air flow and the heat flux density. The invention further discloses a closed-loop two-phase pulsating heat pipe and a vertical machining center spindle bearing system.

The invention relates to the technical field of data monitoring, in particular to a building external envelope thermal insulation performance monitoring data fusion method and system. A cloud server obtains a first real-time temperature value collected by a first temperature sensor and a second real-time temperature value collected by a second temperature sensor, then abnormal values in the first real-time temperature value and the second real-time temperature value are removed, and therefore the corrected first real-time temperature value which can better represent the internal temperature condition of a building is obtained. The corrected second real-time temperature value can better represent the external temperature condition of the building, so that the space coverage and the reliability of the data are effectively improved; and then the cloud server firstly constructs a one-dimensional steady-state heat transfer model, and then dynamically corrects the one-dimensional steady-state heat transfer model by using an irradiance correction coefficient and a wind speed correction coefficient, so that the influence of external environmental factors on a thermal insulation performance monitoring result is effectively eliminated, the monitoring result is closer to an actual situation, and the monitoring precision is improved.

The invention provides a heat conductivity coefficient measuring method suitable for a steady-state plate method heat conductivity coefficient testing device, which estimates steady-state heat transfer power based on a cooling curve so as to calculate the heat conductivity coefficient of a sample, and comprises the following steps: when the sample is heated and reaches a steady-state temperature gradient, recording the temperature of a heating disc and the temperature of a heat dissipation disc, removing the sample, and calculating the heat conductivity coefficient of the sample; after the heat dissipation disc is directly heated to a preset temperature by the heating disc, the heating disc is rapidly removed, data of temperature change along with time in the natural cooling process of the heat dissipation disc is recorded, and a cooling curve is obtained; a section with approximately linear temperature drop is selected from the cooling curve for fitting, and the cooling slope of the initial cooling stage is obtained; and respectively calculating convective heat transfer coefficients of the top surface, the bottom surface and the side surface of the heat dissipation disc based on the geometric dimension and the temperature difference of the heat dissipation disc, calculating a correction coefficient, and correcting an original heat conductivity coefficient estimated by the initial slope of the cooling curve. The method can be used for accurately measuring the heat conductivity coefficient of the poor conductor so as to realize the improvement of teaching experiment instruments.

The invention discloses a meshless EFGM-based topological optimization method for a multi-material periodic steady-state heat transfer structure. The method comprises the following steps: (1) inputting material attributes such as a heat conductivity factor, a material direction angle, a volume fraction ratio and a heat conductivity coefficient of the multi-material periodic structure; (2) discretizing a design domain by using a meshless method, and carrying out EFGM multi-material steady-state heat transfer analysis; (3) setting iteration parameters and an initial multi-material EFGM node relative density matrix; (4) solving an EFGM discrete control equation after punishment of the SIMP multi-material interpolation model; (5) establishing a topological optimization mathematical model of the multi-material periodic steady-state heat transfer structure based on EFGM; (6) performing periodic averaging processing, and solving volume sensitivity and thermal flexibility sensitivity; (7) optimizing and updating a multi-material EFGM node relative density matrix through two-phase competition; (8) inputting a termination condition, and judging whether loop iteration is continued or not; and (9) outputting a multi-material distribution cloud picture. According to the method, topological optimization of the anisotropic multi-material periodic steady-state heat transfer structure is carried out based on the meshless EFGM, and the structure is clear, simple and practical.

The invention relates to a multi-scale prediction method for the heat conductivity coefficient of ultra-high performance concrete and electronic equipment. Comprising the following steps: establishing a finite element model of a hydration microstructure of a gel system, correcting pore heat conduction characteristics in combination with pore water saturation and a Knudsen effect, and obtaining an equivalent heat conduction coefficient of a neat paste matrix through steady-state heat conduction inversion analysis; constructing a mesoscopic aggregate accumulation model containing aggregate and an interface transition area, endowing each phase with heat conduction parameters, and solving a heat conduction equation to obtain a mortar scale equivalent heat conduction coefficient; and establishing a macroscopic enhancement model with randomly distributed fibers, applying corresponding heat conduction attributes based on the result, and finally predicting the overall equivalent heat conduction coefficient of the ultra-high performance concrete through steady-state heat transfer calculation. Compared with the prior art, the method has the advantages that through multi-scale coupling simulation, accurate and efficient calculation from microscopic components to macroscopic material heat-conducting property is realized, and an important theoretical basis is provided for thermal design of concrete.

The application discloses a water temperature estimation method and device, electronic equipment, a storage medium and a vehicle. The method comprises the following steps: obtaining the heat generation electric power of an electronic device and the temperature of a circuit board; the electronic device is fixed on the circuit board, and the electronic device is connected with a heat dissipation element in contact with a water channel; when the current stage of the electronic device is a steady state stage, a steady state heat transfer proportion of a current temperature sampling time is calculated according to a first temperature difference between the temperature of the circuit board at the current temperature sampling time and the temperature of the circuit board at a previous temperature sampling time; a first heat dissipation amount of the electronic device to the heat dissipation element under the heat generation electric power and a second heat dissipation amount of the electronic device to the circuit board are calculated according to the steady state heat transfer proportion; and the water end water temperature of the heat dissipation element is estimated according to the first heat dissipation amount and the second heat dissipation amount. According to the application, the steady state heat transfer proportion is calculated, the proportion of heat dissipation of the electronic device under different conditions is considered, and therefore the water end water temperature of the electronic device in the steady state stage is more accurate.

The application discloses a pipeline heat preservation and insulation performance testing device simulating engineering meteorological environment conditions and particularly relates to the technical field of pipeline heat preservation and energy saving, and comprises a closed testing cabin body, wherein an air conditioning system, a ventilation system and a water spraying system are arranged in the closed testing cabin body, the ventilation system comprises a fan fixedly installed at a top port of a ventilation cover, and the air blowing output direction of the fan is the bottom port of the ventilation cover; a testing pipe section is centrally distributed in the ventilation cover, heating components and matrix type temperature sensors are arranged in the testing pipe section, and end caps are inserted and fixed on the two open ends of the testing pipe section. The application can test the heat insulation performance of the pipeline heat preservation structure under engineering meteorological environment conditions, calculate the heat loss of the outer surface of the heat preservation pipeline through the data collected under the steady-state heat transfer condition of the testing pipe section, and verify whether the actual heat insulation effect of the pipeline heat preservation structure meets the relevant standard specification and specific engineering requirements.

The invention relates to the technical field of preparation of wall thermal insulation materials, and particularly discloses a wall thermal insulation material and a preparation method thereof. 5-8 parts of silicon dioxide sol; 6 to 10 parts of aerogel microspheres; 6-10 parts of a phase change microcapsule; 12 to 15 parts of expanded perlite or light expanded aggregate; 12-15 parts of active fly ash or high-activity slag; 6-10 parts of Portland cement; 0.4 to 0.8 part of polypropylene chopped fiber; 0.5 to 0.8 part of a silane coupling agent; 0.6-1 part of a closed pore nucleating agent and a template; 0.3 to 0.5 part of a multifunctional water reducing agent; the excitation liquid and the water are used for excitation and forming, and the ratio of the excitation liquid to the activated attapulgite is 1: (0.18-0.22); the micro / nano-scale aerogel skeleton, the closed-pore multi-scale porous structure and the phase-change microcapsule are organically coupled to form a collaborative network of multiple heat-resistant mechanisms, so that the heat-resistant phase-change microcapsule plays a role in two aspects of steady-state heat transfer and transient thermal shock at the same time.

The present application provides a kind of determination method of blast furnace residual iron mouth opening position.The present application is based on blast furnace bottom brick lining structure, bottom brick lining heat transfer coefficient, temperature monitoring of thermocouple buried in bottom brick lining, one-dimensional steady heat transfer equation is applied and the calculation is carried out by assuming molten iron erosion depth, and compared with working thermocouple temperature, so that the remaining thickness of brick lining is calculated in the cycle process of assumption-calculation-contrast-reassumption.The present application is suitable for blast furnace with ≥3 layers of temperature measuring thermocouples buried in bottom brick lining of hearth, 1 layer of temperature measuring thermocouples buried in lower hearth base, each layer of thermocouples in bottom brick lining of hearth is uniformly distributed in circumferential direction, and the insertion depth of thermocouples in different layers of thermocouples is consistent in radial direction.The present application can more accurately calculate the erosion of molten iron to bottom brick lining and the opening position of blast furnace residual iron mouth.

The application provides a kind of ice and snow material thermophysical property parameter detection method, system, equipment and medium, it is related to material parameter detection technical field, method includes obtaining the hardware data of ice and snow material module to be measured, the ice and snow material module to be measured includes ice and snow material to be measured, isolation layer and heat insulation layer, the ice and snow material to be measured, the isolation layer and the heat insulation layer are sequentially connected;According to the steady heat transfer theory and the hardware data, the heat insulation layer thickness of the heat insulation layer is generated;According to the steady heat transfer theory and the heat insulation layer thickness, the heat insulation layer thermophysical property parameter is generated;According to the hardware data, the steady heat transfer theory, the heat insulation layer thickness and the heat insulation layer thermophysical property parameter, the ice and snow material thermophysical property parameter of the ice and snow material to be measured is generated.The detection method of the application can simply and efficiently complete ice and snow material thermophysical property parameter detection under the condition that the detection equipment and the detection equipment of the hot room room temperature meet the national standard.

The utility model relates to the technical field of door and window detection equipment, in particular to a building door and window thermal insulation performance detection device which comprises a detection box, filling plates are fixedly connected to the top and the bottom in the detection box, test piece frames are connected to the opposite sides of the filling plates, and guide plates are fixedly connected to the two sides of the test piece frames. The test piece frame divides the detection box into a heating cavity and a refrigeration cavity, the outside of one side of the heating cavity is fixedly connected with a humidity control device, the inside of the heating cavity is fixedly connected with a heating device, the inside of the refrigeration cavity is fixedly connected with a refrigeration device, and the heating cavity and the refrigeration cavity are each internally provided with at least six temperature detection devices. According to the utility model, the guide plates are additionally arranged on the two sides of the test piece, so that the direct influence of the heating device and the refrigerating device on the test piece is reduced, the unnecessary heat exchange is reduced, the test is more in line with the detection principle of steady-state heat transfer, and the detection result is more accurate.

The invention provides an ice and snow material thermophysical performance parameter detection method, system, device and medium, and relates to the technical field of material parameter detection.The method comprises the steps that hardware data of a to-be-detected ice and snow material module is obtained, and the to-be-detected ice and snow material module comprises a to-be-detected ice and snow material, an isolation layer and a heat insulation layer; the ice and snow material to be detected, the isolation layer and the heat insulation layer are connected in sequence; according to a steady-state heat transfer theory and the hardware data, generating a heat insulation layer thickness of the heat insulation layer; according to the steady-state heat transfer theory and the thickness of the thermal insulation layer, thermal physical performance parameters of the thermal insulation layer are generated; and according to the hardware data, the steady-state heat transfer theory, the thickness of the thermal insulation layer and the thermal physical performance parameters of the thermal insulation layer, generating the thermal physical performance parameters of the ice and snow material to be tested. The detection method provided by the invention can simply and efficiently complete the detection of the thermal physical performance parameters of the ice and snow material under the conditions of the detection equipment and the hot room temperature of the detection equipment which meet the national standard.

The application discloses a kind of deep-buried tunnel lining structure and the analytical calculation method of radial temperature field along surrounding rock, including establishing the calculation model of annual temperature amplitude and annual average temperature along radial depth of tunnel lining structure and surrounding rock;Considering the influence of the difference of thermal physical properties of different material layers on the change of tunnel temperature field, the heat storage coefficient of different material layers and the surface heat storage coefficient are calculated;The annual temperature amplitude along radial depth distribution of tunnel lining structure and surrounding rock is calculated;Determine the temperature influence boundary of tunnel surrounding rock;The annual average temperature along radial depth distribution of tunnel lining structure and surrounding rock is calculated;The annual minimum temperature along radial depth distribution of tunnel lining structure and surrounding rock is calculated.The present application is based on the principle of superposition, the principle of periodic heat transfer and the principle of steady heat transfer, and a simple and easy-to-promote method for calculating the annual average temperature, annual temperature amplitude and corresponding annual minimum temperature along radial depth of tunnel lining structure and surrounding rock is proposed, which is used to guide the design of tunnel anti-freezing and heat preservation.

The invention provides a method for measuring interlayer thermal resistance of a liquefied natural gas low-temperature flexible pipeline, which comprises the following steps: S1, coaxially aligning to-be-measured pipe samples made of at least two different materials to form a to-be-measured interface, and integrally placing the to-be-measured interface in a steel casing of a test chamber; s2, applying preset axial pressure to the to-be-tested pipe sample through a precision stepping motor and a lead screw loading device, monitoring the axial pressure in real time through a force measuring ring, and recording the axial pressure by a data processor; s3, establishing a stable ultralow-temperature temperature gradient at the two ends of the to-be-tested pipe sample; and S4, after the steady-state heat transfer state is reached, collecting temperature data of the plurality of low-temperature sensors in the steady-state heat transfer state, and calculating by a data processor to obtain the interlayer thermal resistance of the to-be-tested pipe sample under the preset axial pressure. According to the invention, the measurement process can highly reproduce the force-thermal environment of the interlayer interface of the LNG pipeline in actual operation, so that the obtained interlayer thermal resistance data is more consistent with the actual situation.

The present invention discloses a rapid calculation method for the load of a building cluster. The method first obtains the main parameters of the enclosure structures of each individual building in the building cluster and weather data; constructs a one-dimensional steady-state heat transfer equation to calculate the basic heat consumption of the building enclosure structure, and makes additional corrections from three aspects: orientation, wind force, and height; uses the cooling load coefficient method based on the Z transfer function to calculate the cooling load formed by heat transfer through the enclosure structure and solar heat gain through the external windows, and the cooling load formed by heat dissipation from the human body, lighting, and equipment; establishes a calculation model for the infiltration load of the heat and mass exchange between the internal air of the building and the external environment; establishes a calculation model for the heating and cooling load of the building based on the grand canonical ensemble theory; obtains the historical data set of the building load, compares the load calculation results of the model of the present invention, introduces a correction coefficient η to correct the model, and then superimposes the loads of each individual building to obtain the load of the building cluster. The present invention can achieve rapid calculation and accurate evaluation of the load of the building cluster.