248 results about "Specific heat" patented technology

The invention relates to the technical field of laser material processing, and discloses a laser annealing temperature control method and device.The method comprises the steps that the specific heat capacity, the heat conductivity coefficient, the heat diffusivity, the heat radiation rate, the heat reflectivity and the heat loss coefficient are obtained, and a material thermal characteristic model is established; performing grid division according to the material thermal characteristic model to obtain a laser energy density parameter; extracting a thermal strain coefficient according to the laser energy density parameter, and establishing a temperature-thermal strain mapping relation prediction model; dynamically adjusting a laser power proportion and a pulse width time sequence according to the temperature-thermal strain mapping relation prediction model to obtain temperature field distribution data; according to the temperature field distribution data, carrying out shortest path analysis to obtain a temperature regulation and control decision; and according to the temperature regulation and control decision, inputting a preset control regulation model, and combining reinforcement learning iteration optimization parameters to obtain a temperature control scheme. According to the method, large-range temperature crossing and fine adjustment in an extremely short time can be realized.

The embodiment of the invention provides a fault monitoring method and device for a liquid cooling system and a server system.The method comprises the steps that the liquid inlet temperature, the liquid outlet temperature and the flow of cooling liquid of the liquid cooling system are obtained in real time, the liquid inlet temperature is the temperature when the cooling liquid enters the liquid cooling system, and the liquid outlet temperature is the temperature when the cooling liquid flows out of the liquid cooling system; the current specific heat capacity of cooling liquid in the liquid cooling system is calculated according to the liquid inlet temperature, the liquid outlet temperature and the flow; and when the difference value between the initial specific heat capacity and the current specific heat capacity of the cooling liquid is larger than or equal to the specific heat capacity threshold value, a first alarm is given out to remind that the cooling liquid of the liquid cooling system goes bad.

The technical scheme of the invention relates to the technical field of data processing, in particular to a method for improving the rapid cooling efficiency of a high-temperature graphite furnace, and the method comprises the steps: carrying out the time axis normalization processing based on a cubic spline interpolation algorithm, combining an adaptive Kalman filter, fusing multi-source data, and generating a time-synchronized three-dimensional temperature field reconstruction matrix; the problem of temperature field reconstruction lag caused by insufficient time sequence alignment precision of multi-modal sensing data is solved. And the reinforcement learning network dynamically optimizes the control parameter weight through the residual feature map, preferentially corrects the deviation of the rotating speed of the induced draft fan and the gas injection angle in a high-error region, and feeds back the deviation to the thermodynamic simulation model for online iterative updating of the specific heat capacity parameters of the material, so that model prediction and dynamic calibration of the actually measured thermal field are realized. Through multi-source data alignment, closed-loop feedback and cooperative control architecture, the timeliness and execution precision of cooling path planning are remarkably improved, and the cooling efficiency and equipment reliability of the high-temperature graphite furnace are optimized.

The invention relates to the field of thermal flow guide path optimization, and discloses an electronic communication equipment heat dissipation method based on thermal flow guide path optimization, which comprises the following steps: arranging a plurality of thermal paths between a chip and a radiator, combining the thermal paths into a network structure in parallel and series modes, and constructing a selectable thermal flow path network structure; collecting real-time temperature and load data of each module, and constructing a multi-dimensional thermal state database in combination with historical operation records and environmental parameters; thermal resistance and module temperature of each thermal path are analyzed, priority is set according to module types and power loads, key modules correspond to specific thermal flow paths, non-key modules distribute thermal flow through remaining paths, and a thermal flow planning scheme is generated; the thermal resistance of each path is adjusted through the phase change material, and a target thermal resistance value is generated; in the chip operation process, the temperature, load and thermal resistance state of each thermal path are continuously collected, and a thermal resistance adjusting instruction is generated; the method has the advantage that the thermal management efficiency and the temperature control precision are improved.

The invention relates to the technical field of thermophysical property measurement, in particular to a high-precision material in-plane thermal conductivity measuring device and method.A low-temperature refrigeration module generates a working medium with a set temperature in a vacuum heat insulation module, and the working medium is transferred to a space where a sample is located and the cold end of a heat flow meter in a heat conduction mode; the vacuum heat insulation module comprises at least one stage of anti-radiation screen and a vacuum cavity which are arranged in the outer side space of the sample and the heat flow meter; the heat-flow meter comprises a hot-end heat-flow meter and a cold-end heat-flow meter which are arranged in parallel; the cold-end heat-flow meter and the hot-end heat-flow meter are respectively clamped at two ends of the sample; the pressure-bearing sample table module bears and fixes a heat flow meter and a sample, and the sample is a film material; the distance measurement and control module controls and measures the distance between the cold end heat flow meter and the hot end heat flow meter; the temperature measurement and control module obtains the temperature of the heat flow meter and comprises a temperature measurement probe inserted into the heat flow meter, and the temperature measurement probe is connected with a temperature sensor. Through a specific heat flow meter structure, measurement of in-plane heat conductivity is realized.

The invention discloses a post-combustion effect simulation method introducing chemical reaction analysis. The post-combustion effect simulation method comprises the steps that detonation energy, detonation products, mass fraction and related thermodynamic parameters are obtained according to the detonation process of explosives; obtaining an energy release parameter containing a chemical reaction source item; establishing a combustion analysis and calculation model introduced with a chemical reaction source item after the explosion of the closed space; solving the initial temperature and initial pressure of the equivalent gas mass of the explosive; inputting related parameters into a combustion analysis and calculation model after explosion in a closed space in which chemical reaction is introduced, and solving to obtain an energy release rate; and the specific heat energy of the post-combustion effect is obtained through calculation, the JWL state equation is modified, and the implosion response of the closed space considering the post-combustion effect is simulated. The method has the advantages that the calculation model including the chemical reaction source item is introduced, the explosive initiation process can be accurately and effectively simulated, the post-combustion reaction starting and ending time and the energy release rate are obtained, and the simulation result is accurate.

The invention discloses application of potassium-based rare earth fluoride in magnetic refrigeration and a magnetic refrigeration device, and belongs to the field of magnetic functional materials. The series of magnetic card materials are single-phase potassium-based gadolinium fluoride, and the chemical formula is KGdF4. The series of magnetic card materials can obtain a large magnetocaloric effect under a low driving magnetic field, and a 0-5kOe, 0-10kOe or 0-20kOe variable magnetic field is applied to the series of magnetic card materials. Under a magnetic field of 0-20 kOe, isothermal magnetic entropy changes of 29.18 J * kg <-1 > * K <-1 >, 27.92 J * kg <-1 > * K <-1 > and 31.99 J * kg <-1 > * K <-1 > are obtained at the temperature of 2K. When the cubic phase KGdF4 does not have an external magnetic field, the specific heat peak value at a low-temperature 2K position reaches 19.20 J * kg <-1 > * K <-1 >; and when the external magnetic field is increased to 2T, the low-temperature specific heat peak value reaches 72.15 J * kg <-1 > * K <-1 >.

The invention provides a method for analyzing a temperature field of a concrete box girder structure under the action of fire high temperature. The method comprises the following steps: determining a heat transfer constitutive relationship of a concrete material in the concrete box girder structure; determining thermal parameters of a concrete material in the concrete box girder structure, wherein the thermal parameters comprise the heat conductivity coefficient, the specific heat capacity, the density and the elastic modulus of the concrete material; establishing a space finite element model of the concrete box girder, and assigning values to concrete materials in different areas in the finite element model according to the thermal parameters and the heat transfer constitutive relation; dividing grid units in the finite element model; fire parameters are determined, the fire parameters are applied to the finite element model, and temperature field analysis of the concrete box girder is carried out. According to the method for analyzing the temperature field of the concrete box girder structure under the fire high-temperature action, the thermal response condition of concrete in a fire high-temperature scene can be simulated more accurately, and a reliable basis is provided for structural safety assessment.

The invention provides an intelligent winding temperature control method for an automatic lithium battery winding machine, which comprises the following steps of: arranging a plurality of quick-response temperature sensors on the winding machine according to the working environment characteristics of the automatic lithium battery winding machine, acquiring temperature data of each part of a battery cell in real time, and transmitting the acquired temperature data to an intelligent temperature regulation and control system; after the intelligent temperature regulation and control system receives the temperature data, the materials are preliminarily classified based on a material thermal response model and a preset program instruction, and the classification basis comprises thermal physical properties such as thermal conductivity, specific heat capacity and density of the materials and is used for subsequently and accurately controlling the temperatures of the different materials; and the system compares the temperature data with the pole piece material and the data information of the material thermal response database obtained in real time, and judges the temperature range of each part of the battery cell.

The invention provides a modeling method of a litchi fresh-keeping and thawing temperature control model based on a thermodynamic model in an electromagnetic field. The modeling method specifically comprises the following steps: S1, establishing a thermodynamic model of a litchi fresh-keeping and thawing system; s2, obtaining the specific heat capacity of the litchis according to the thermodynamic model; s3, calculating the internal temperature of the litchis; s4, constructing a GRU model, and training the GRU model by using the litchi internal temperature data obtained in the step S3 and the collected unfreezing environment temperature and unfreezing water bath temperature as a training set; s5, a whale optimization algorithm is adopted to optimize the GRU model, the optimized GRU model outputs the litchi thawing temperature Tpred (t), and t is time; and S6, a litchi thawing temperature control strategy based on a fuzzy PID controller is constructed, the Tpred (t) serves as the input of the litchi thawing temperature control strategy, the Tpred (t) is compared with a preset value, and output control is conducted according to the comparison result.

A cold storage material according to an embodiment contains a rare earth aluminum oxide containing at least one rare earth element selected from the group consisting of Y, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu, in which a Group 1 element is contained in an amount of 0.001 atom % or more and 10 atom % or less, and a maximum volumetric specific heat value in a temperature range of 2 K or more and 10 K or less is 0.5 J / (cm3·K) or more.

The invention relates to an anti-overtemperature control method and system for an aluminum alloy sheet heating furnace, and the method comprises the following steps: arranging a plurality of thermocouples in the length direction and the width direction in the heating furnace, forming a temperature matrix, and collecting the temperature distribution data of a working area in the furnace in real time; a transient heat conduction prediction model of the aluminum alloy sheet is established, and the model is combined with physical property parameters of aluminum alloy and comprises the relation that the specific heat capacity, the heat conductivity coefficient, the density and the emissivity change along with the temperature; based on the temperature matrix and the transient heat conduction prediction model, predicting a temperature rise curve of the thin plate in a future set time; and when the predicted temperature exceeds the preset safety threshold value, the heating power or the start-stop state of the corresponding heating area is adjusted in advance, and active anti-overtemperature control is achieved.

The method for selecting and developing the efficient working medium of the pulsating heat pipe comprises the following steps that a heat transfer model of the pulsating heat pipe in an evaporation section is established and used for calculating the heat transfer rate of the evaporation section of the pulsating heat pipe; obtaining a pulsating heat pipe working medium quality factor calculation formula based on the pulsating heat pipe evaporation section heat transfer rate; the pulsating heat pipes of the same size are adopted, and the quality factors of different working media are calculated based on a working medium quality factor formula; the calculation results of the quality factors of different working media are sequenced, the working medium with the maximum working medium quality factor value in the same temperature zone is selected as the optimal working medium of the pulsating heat pipe, and the quality factors of the optimal working medium are improved by adjusting thermophysical parameters such as the heat conductivity coefficient, the constant pressure specific heat capacity and the surface tension of the optimal working medium of the pulsating heat pipe; and development of a new efficient working medium of the pulsating heat pipe is achieved. According to the method, a researcher can priori select a more efficient pulsating heat pipe working medium before an experimental test, and the test cost is reduced.

[Problem] To identify the thermal conductance of a heat source and contribute to the effective utilization of unused thermal energy. [Solution] The present invention involves: making a heat conduction path having a cooling source at one end be connected via the other end to a heat source to be measured (S10); installing a heating element, which can be controlled so that the amount of heat generation fluctuates by applying fluctuating heating energy, in the heat conduction path, and measuring the temperature in the heat conduction path to acquire a first temperature when affected by the heat generation of the heating element and a second temperature when not affected by the heat generation of the heating element (S30, S50); and calculating the heat conductance of the heat source on the basis of the difference (S60) between the first temperature and the second temperature and the heating energy when the first temperature is measured (S80). As a result, the heat conductance of the heat source can be calculated without the need for identifying the specific heat, mass, or the like of the heat source, so that it is possible to contribute to the effective utilization of unused thermal energy of the heat source.

The invention provides a nondestructive testing method and system for a coarse grain layer on the surface of an aluminum alloy forge piece, and relates to the technical field of nondestructive testing. First surface temperature field time sequence data corresponding to a standard workpiece are collected, and according to the environment temperature, the workpiece heat conductivity, the workpiece specific heat capacity and detection environment parameters, the first surface temperature field time sequence data are obtained; generating a thermal response difference threshold calibration curve corresponding to the standard workpiece; performing eddy current induction heating on the to-be-detected workpiece at the same heating time as the standard workpiece and the preset workpiece interval, and collecting second surface temperature field time sequence data corresponding to the to-be-detected workpiece; comparing the temperature of each moment in the second surface temperature field time sequence data with the temperature of the moment corresponding to the thermal response difference threshold value calibration curve, and if the temperature difference value between the second surface temperature field time sequence data and the thermal response difference threshold value calibration curve exceeds a preset temperature threshold value, determining that the thermal response difference threshold value calibration curve does not exceed the preset temperature threshold value; and if so, determining that the coarse grain layer exists on the surface of the to-be-detected workpiece or the depth of the coarse grain layer on the surface of the to-be-detected workpiece exceeds the limit. According to the invention, the nondestructive detection precision of the metal workpiece can be improved.

The invention discloses a gas constant pressure specific heat capacity measuring device. Belongs to the technical field of measurement. The gas constant pressure specific heat capacity measuring device comprises a gas source, a recovery gas tank, a gas pipeline, and a calorimeter, a pressure control system, a vacuum pump and a mass flow meter which are communicated through the gas pipeline, wherein the vacuum pump is configured to be connected with the gas source and the recovery gas tank; the calorimeter comprises a vacuum cavity, and a first temperature sensor, a second temperature sensor, a heater and a heating device which are located in the vacuum cavity, and the first temperature sensor, the heater and the second temperature sensor are sequentially connected to a gas pipeline in series according to the gas flow direction and located in the heating device; and the gas pipeline is made of a nickel-based high-temperature alloy material. Therefore, constant pressure specific heat measurement of high-temperature gas of about 800 DEG C can be realized, high-precision temperature measurement and temperature control technologies are adopted, the measurement precision can be improved, and the application range is wide.

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

The invention discloses a hydrocarbon fuel thermodynamic parameter-oriented distributed measurement method, which comprises the following steps: storing a target substance in a thermostatic bath, maintaining the temperature at 298 K, pumping the target substance into a test tube, raising the temperature to an initial cracking temperature, and raising the temperature from the initial cracking temperature to a temperature at which the target substance is deeply cracked to cause coke to block a pipeline; according to the parameters monitored in real time, on-line measuring the heat flux density of heat transfer between the on-way calorimetric infinitesimal element of the test tube and the target substance in the infinitesimal element based on the calorimetric model; adjusting the pressure, and continuing to execute the steps to obtain the heat flux density of heat transfer between the on-way calorimetric infinitesimal of the test tube and the target substance in the infinitesimal under different pressure conditions; carrying out distributed measurement on the thermodynamic parameters of the target substance to obtain a function of the thermodynamic parameters of the target substance changing along with position, temperature and pressure. The invention further discloses a measuring device adopting the method. By means of the method and device, distributed measurement of the four thermodynamic parameters including the temperature, the heat sink, the isobaric specific heat and the isobaric entropy change is achieved.

The invention discloses a deep mine filling body heat storage performance prediction method and system based on PINN and Transformer, and the method comprises the steps: arranging a multi-point temperature sensor in a deep mine filling body heat storage system, and combining key control factors to predict the heat storage performance of a deep mine filling body; obtaining sequence data of temperature of multiple points in the filling body along with time and sequence data of temperature of a pipeline outlet along with time, so as to establish a first training sample and a second training sample; respectively training the thermal physical property parameter inversion model based on the physical information neural network and the optimized Transform neural network prediction model, obtaining the predicted thermal conductivity coefficient and specific heat capacity of the filling body through the trained thermal physical property parameter inversion model based on the physical information neural network, and predicting the thermal conductivity coefficient and specific heat capacity of the filling body by adopting the trained optimized Transform neural network prediction model to obtain the thermal conductivity coefficient and specific heat capacity of the filling body. And obtaining the predicted outlet temperature of the heat exchange tube of the deep mine so as to predict the heat storage performance of the filling body of the deep mine.

The invention discloses a method for rapidly determining the optimal DSC sample amount to predict the thermal safety parameter of an autocatalytic substance. The method comprises the following steps: firstly, setting more than three groups of sample masses, carrying out a thermal decomposition test on the samples under a dynamic condition by using DSC to obtain initial decomposition temperatures T0, specific heat release amounts Q and peak temperatures Tp of the samples under different sample amounts, and analyzing the correlation between T0, Tp and Q and the sample amounts according to the change ranges and change trends of three thermodynamic parameters, if the thermodynamic parameters do not change obviously, selecting the maximum sample mass as a relatively conservative thermal safety parameter for predicting the optimal sample mass, and if the thermodynamic parameters change obviously, further comparing delta Y / delta X by taking the sample mass as an X variable and the thermodynamic parameters as a Y variable, and screening out the optimal sample mass in combination with different classification conditions. The method has the advantages of simple test conditions and short time consumption, can be widely applied to various autocatalytic substances, and can obtain more conservative and accurate evaluation results.

The invention relates to the technical field of heat recovery systems, in particular to a heat recovery method and system based on a rotary dehumidifier, and the method comprises the steps: collecting and processing a low-grade heat source discharged by the rotary dehumidifier to obtain real-time temperature data and flow data of low-grade hot water; the temperature data, the flow data and the specific heat capacity of water are combined to calculate the heat energy release amount of the low-grade hot water in unit time; calculating a heating demand value of a rotating wheel in the rotating wheel dehumidifier according to the current environment humidity; fitting the relevance between the heating demand value and the heat energy release amount to obtain a dynamic adjustment coefficient; and low-grade hot water is controlled to enter the high-temperature heat pump, working parameters of the high-temperature heat pump are adjusted based on the dynamic adjustment coefficient, and adjustment is conducted according to the temperature difference. Optimization of the heat recovery process is achieved through intelligent adjustment, the recovery efficiency of low-grade heat energy is improved, energy waste is reduced, and the overall energy efficiency is remarkably improved.

The invention discloses a system and a method for measuring the thermophysical property of a soft material film. The system comprises a signal generator, a pump light path, a detection light path, a photoelectric detector, a signal processing module, a sample platform, a difference measurement module and a thermal parameter inversion unit. The system can be used for independently measuring the thermal conductivity, the specific heat capacity and the interface thermal resistance of liquid, gel and soft solid thin film materials at the same time on the premise that prior parameters are not needed. In combination with periodic heating of a square wave modulation heat source and a difference measurement strategy, high-precision measurement of micro-nano-scale thermophysical properties is realized, and the method is particularly suitable for various application scenes such as thermal interface materials (TIMs) and phase change energy storage materials.

The invention relates to a low-temperature drilling fluid for drilling in a plateau extremely cold environment and a preparation method of the low-temperature drilling fluid. The existing drilling fluid cannot meet the plateau low-temperature severe environment in the aspects of low-temperature resistance and specific heat capacity at the same time. The low-temperature drilling fluid for drilling in the plateau extremely cold environment is prepared from the following components in percentage by mass: 3-5% of a slurry making material; 10%-16% of an anti-freezing agent; 0.1% of an inorganic modification treatment agent; 1.5% of a filtrate reducer; 0.2% of a friendly polymer treating agent; and the balance of water. Appropriate modification components such as the anti-freezing agent, the inorganic modification treatment agent and the filtrate reducer are selected to serve as a formula of the low-temperature-resistant drilling fluid suitable for plateau drilling construction, the low-temperature-resistant drilling fluid can effectively cope with severe cold and severe conditions of plateau, and the low-temperature-resistant drilling fluid has certain specific heat capacity and good rheological property and inhibition capacity while having the low-temperature-resistant characteristic; the strict environmental protection requirements of the plateau are met.

The invention discloses a direct air cooling fin intelligent temperature measuring device based on a visual technology, and relates to the technical field of detection devices. A binocular split-optical-axis system composed of a high-speed camera and an infrared camera is designed by arranging the camera assembly, depth information is obtained by combining visible light and infrared thermal images, meanwhile, temperature data of the same coordinates are obtained, dust interference factors of three-dimensional thermal imaging are determined, and the dust interference factors of the three-dimensional thermal imaging are determined. The judgment difficulty of temperature data fusion is reduced; the surface temperature difference is formed through different specific heat capacities of different materials through the baffle assembly and the flow guide assembly, image collection of the dual-band camera is achieved, meanwhile, the air cooling exhaust speed is measured to be matched with temperature measurement, and the temperature measurement effect is improved.

The invention relates to the technical field of image acquisition equipment, and discloses electronic equipment and a monitoring system. The electronic equipment comprises a first cold end arranged on the electronic equipment, the first cold end is arranged on a shell of the electronic equipment and communicates with a containing cavity in the shell, and the containing cavity can contain a heating part; the shell is further provided with a second cold end corresponding to the first cold end, the thermal conductivity of the second cold end is lower than that of the first cold end, and the specific heat capacity of the second cold end is higher than that of the first cold end, so that when the temperature change in the shell reaches a threshold value, water vapor in the shell is condensed at the second cold end, and the influence of the water vapor on the first cold end is reduced. The thermal conductivity of the second cold end is lower than that of the first cold end, and the specific heat capacity of the second cold end is higher than that of the first cold end, so that when the water vapor in the accommodating cavity reaches a saturated state, the water vapor preferentially generates a fogging phenomenon at the second cold end. Therefore, the electronic equipment can solve the problem of fogging of the window glass of the camera in the prior art.

The embodiment of the invention provides a nuclear reactor melt physical property parameter determination method and device, and relates to the technical field of nuclear reactors. The method comprises the following steps: receiving a physical property parameter acquisition request, wherein the physical property parameter acquisition request comprises the type of a target substance in a nuclear reactor melt; in response to the physical property parameter acquisition request, acquiring a base class pointer corresponding to the target substance according to the type of the target substance; based on the base class pointer, a physical property calculation relation related to the target substance is called, and the physical property calculation relation comprises a mapping relation or a function calculation relation; according to the physical property calculation relation, physical property parameters of the target substance are determined, and the physical property parameters comprise at least one of density, specific heat capacity, emissivity and heat conductivity. According to the embodiment of the invention, the reliability of physical property parameters can be improved.

The invention relates to the technical field of cold storage, and particularly discloses a cold storage material and a preparation method and application thereof. Wherein the cold storage material comprises a Gd2O2Se crystal. The cold storage material comprises the Gd2O2Se crystal, and the Gd2O2Se crystal has phase transformation near 6.22 K, has relatively large specific heat in a temperature range of 1-10 K, has a remarkable magnetothermal effect and can be used as a cold storage material at a liquid helium temperature.

The invention provides a heaven and earth difference correction method for high-altitude high-speed jet flow interference data, and the method comprises the steps: taking jet flow interference data obtained through a wind tunnel test as a reference, obtaining three groups of wind tunnel test jet flow interference data through adjusting the total temperature and total pressure of a wind tunnel incoming flow and replacing a wind tunnel nozzle, and employing a wind tunnel test method; the derivatives of the jet flow interference data to the Mach number and the Reynolds number are solved; two groups of numerical calculation jet flow interference data are obtained by adjusting the jet flow gas temperature and the specific heat ratio and adopting a numerical calculation method, and the derivative of the jet flow interference data to the jet flow momentum is solved; according to the known heaven and earth Mach number, Reynolds number and jet flow momentum difference, heaven and earth difference correction of high-altitude high-speed jet flow interference data is realized. According to the method, the heaven and earth difference correction error is reduced, the Mach number influence, the Reynolds number influence and the jet flow momentum influence are decoupled, and the heaven and earth difference correction problem under the real flight condition and the thermal jet flow condition cannot be simulated in the wind tunnel is solved.

The invention discloses a gas specific heat ratio measuring device and a gas specific heat ratio measuring method, particularly relates to the technical field of gas specific heat ratio measurement, and solves the technical problems of low measuring precision, inconvenience in operation, poor safety and narrow application range of a traditional gas specific heat ratio measuring experimental device in the prior art. According to the technical scheme, an air pressure sensor measures changes of air pressure and temperature in a bottle, and data can be displayed in real time by being connected with a computer; by optimizing sensor design and a signal processing algorithm, the measuring device can respond to air temperature and pressure changes more quickly; the stepping motor is used for controlling opening and closing of the piston, and errors caused by human factors are reduced; the change of the air specific heat ratio at different temperatures can be explored by changing the temperature; according to the invention, intelligent and automatic measurement is realized, errors caused by manual operation are reduced, and data change visualization in the whole experiment process is provided, so that students can intuitively analyze the change of each physical quantity.

The present invention discloses a method for calculating the potential impact radius of a mixed hydrogen natural gas pipeline, comprising the following steps: Step 1: Collect key parameters for calculating the impact radius; Step 2: Calculate the relevant parameters of the mixed gas after the components of the mixed hydrogen natural gas are mixed, including the molar mass of the mixed gas, the sound velocity of the mixed gas, the specific heat ratio of the mixed gas, the combustion heat of the mixed gas, and the radiation coefficient of the mixed gas; Step 3: Calculate the potential impact radius of the mixed gas pipeline. The present invention proposes a simplified calculation method for the potential impact radius of a mixed hydrogen natural gas pipeline based on the design pressure, the inner diameter of the pipeline and the concentration correction factor, which more clearly determines the potential impact radius of natural gas pipelines with different hydrogen contents. Compared with the existing technical specifications, at the same pressure and the same outer diameter, the potential impact radius of the mixed hydrogen natural gas pipeline is greater than that of the pure hydrogen pipeline, which reflects the role of the present invention in promoting and facilitating the safety of the mixed hydrogen natural gas pipeline.