53 results about "Thermal strain" patented technology

The invention relates to the technical field of computer-aided engineering, in particular to a nonlinear efficient iterative solving method for thermal strain load, which is used for solving an obtained finite element equation by using a modified Newton-Raphson method and comprises the following steps of: firstly, establishing a geometric model to be analyzed and performing grid division; the method comprises the following steps: firstly, setting a model to be analyzed, then setting boundary conditions and temperature field change conditions of the model to be analyzed, finally, inputting the conditions into an algorithm solver, solving a nonlinear equation set, iteratively inputting a load continuously according to a modified Newton-Raphson method in the solving process, calculating node displacement until convergence, and solving stress-strain conditions in the welding process according to a material constitutive relation. In the solving process, by judging the size of the two norms of the displacement increment obtained in the adjacent increment step heuristic stage, the convergence of nonlinear solving of the structure is enhanced through the calculation mode, and the solving speed of the nonlinear problem in the thermal elastic-plastic constitutive structure is increased.

A method for predicting a multi-physics field coupling process of natural hydrogen flow-heat transfer-rock thermal strain in underground pores belongs to the field of natural hydrogen resource exploration, and is characterized in that a multi-physics field coupling model for describing natural hydrogen flow-heat transfer-rock thermal strain in formation pores is established based on phase field variables; the method comprises the following steps: establishing a porous medium geometric model according to a rock underground pore structure, performing grid division on the porous medium geometric model to obtain a plurality of grid units for reflecting different spatial distribution positions of natural hydrogen in the rock underground pore structure, and setting initial conditions and boundary conditions of the porous medium geometric model; according to the multi-physics field coupling model, solving the space-time evolution characteristics of the hydrogen volume fraction, the water volume fraction, the fluid temperature, the rock skeleton matrix temperature and the rock skeleton matrix thermal strain value of each grid unit of the porous medium geometric model to obtain the distribution in time and space; according to the method, the reservoir forming mechanism and the reservoir forming stability of the natural hydrogen are evaluated more accurately and systematically.

The invention discloses a contour and filling direction adaptive path planning and SLM support-free forming method, which has the following beneficial effects that a low-angle overhanging region is separated based on a region division algorithm, a scanning vector is controlled by a contour on the basis of contour features of complex structure features and an overhanging direction recognition algorithm, and the accuracy of the contour and filling direction adaptive path planning and SLM support-free forming method is improved. The expansion direction of the lower surface area is a filling direction, and adaptively generating a scanning path and the filling direction; different from a conventional path filling strategy, the method can meet the complex structure characteristics of a curved surface, a round hole, rotation, a special-shaped runner, a curved surface and the like, and the scanning line vector and the filling direction of a lower surface area adapt to the structure contour characteristics, so that the influence of the placing position and the scraper direction on the forming thermal strain accumulation and the lower surface forming quality is reduced; according to the method, the high-quality and stable forming requirements of the low-angle feature of 30 degrees or below of existing mainstream metal materials can be met, and the data processing time cost, the powder material consumption and the post-processing time in the whole forming process are effectively reduced.

The present application belongs to the technical field of thermal load deformation and force load deformation measurement, and relates to a thermal and force deformation field decoupling method and system based on two-dimensional visual measurement. According to the temperature field at discrete temperatures, the thermal deformation field at discrete temperatures and the corresponding temperature, and by using a binary function model, the influence coefficient of fitting temperature on thermal strain is obtained, the jumps between discrete data are eliminated, and the continuity and prediction ability of thermal strain are improved. According to the influence coefficient of fitting temperature on thermal strain and the binary function model, a fitted binary function model is obtained, which is more in line with the actual material properties. According to the temperature field under the thermal and force coupling condition, the deformation field under the thermal and force coupling condition and the fitted binary function model, an equivalent thermal deformation field is obtained, the thermal and force coupling deformation is decoupled, the dynamic correlation of thermal strain and deformation field is realized, and the decoupling precision is improved.

The invention discloses a working method and system of a projection camera integrated with a temperature control function, and relates to the field of cameras. The method comprises the following steps: synchronously acquiring an infrared thermal field, dark current of an image sensor and a duty state of a micro-mirror array, and calculating a multi-source thermal disturbance characteristic value through an entropy algorithm and photo-thermal phase difference analysis; driving a thermal diffusion diagram neural network by the characteristic values, inverting a thermal strain field, and projecting the thermal strain field to a Zernike basis function space to generate a thermally induced aberration risk index and a thermodynamic diagram; calculating an active temperature control intervention level and a strategy parameter through an adaptive threshold value and fuzzy reasoning based on the risk index and the convection intensity estimation value; constructing a multi-objective non-convex optimization problem according to the intervention level, and solving to obtain a collaborative scheduling weight and an optimization instruction; and extracting the maximum Lyapunov index and generating a thermal stability look-ahead confidence coefficient with the risk index to predict future thermal evolution and perform adaptive regulation and control. According to the invention, the imaging precision of the projection camera under thermal disturbance is improved through multi-level cooperative temperature control.

The invention discloses a galvanized steel pipe surface defect detection method and system based on image data, and relates to the technical field of image data processing. A galvanized steel pipe surface defect detection system based on image data comprises an image acquisition and processing module, a thermal strain field construction module, a geometric distortion correction module and a defect detection and evaluation module. According to the method, the thermal expansion and cold contraction galvanized steel pipe in the conventional visible light image is corrected through the infrared thermal imaging image and the material thermal expansion law, a quantitative relation model between the temperature change and the physical deformation of the galvanized steel pipe can be accurately established, and shape distortion or size change caused by uneven temperature is accurately corrected; therefore, the galvanized steel pipe surface features close to the real state are restored, the accuracy of defect detection is improved, misjudgment or missing detection caused by thermal expansion and cold contraction is effectively avoided, the reliability of the detection result is ensured, and the defect detection effect of the galvanized steel pipe surface defect detection method and system is improved.

This invention discloses a method for controlling welding hot cracks with bilateral symmetrical thermal strain assistance. The method includes preparation before welding and welding. In the welding step, the temperature generated by the two induction coils is stabilized at 302±5℃ before welding begins. During welding, the welding heat source and the two induction coils move synchronously and uniformly from back to front, so that the thermal strain generated by the two induction coils continuously heats the workpieces to be welded on both sides of the weld within the brittle temperature range behind the molten pool until welding is completed. In this way, the thermal strain generated by the two induction coils continuously heats the corresponding workpieces to be welded on both sides of the weld within the brittle temperature range behind the molten pool. The thermal expansion of the workpieces generates a transverse compressive strain pointing towards the weld center in the weld metal within the brittle temperature range (BTR zone) behind the molten pool, thus counteracting the crack-inducing tensile strain generated in the brittle temperature range during welding, thereby effectively controlling the generation of hot cracks.

This technology suppresses the generation of thermal strain during crystal growth, enabling the realization of high-quality SiC single crystals with a low crystal defect density. [Solution] A SiC single crystal substrate is used, comprising a first main surface and a second main surface located opposite the first main surface, wherein the first main surface is a surface inclined with an off-angle of 0° to 8° with respect to the {0001} plane. Here, incident light having two mutually orthogonal polarization components and a wavelength of 520 nm is incident on the first main surface, and the phase difference between the first emitted light and the second emitted light emitted from the second main surface is measured. In the distribution of phase differences obtained, the average value of the phase difference is 10 nm or less, and the maximum value of the phase difference is 70 nm or less.

The application relates to a method for preparing a beryllium-aluminum composite material by adopting electric arc additive manufacturing, and relates to a method for preparing a beryllium-aluminum composite material. In order to solve the problem that solidification cracks are caused by the difference between the thermal physical properties of two phases in the electric arc additive manufacturing process of the beryllium-aluminum composite material. In the process of preparing the beryllium-aluminum composite material by layer-by-layer deposition of the electric arc additive manufacturing, the environmental temperature of the beryllium-aluminum composite material is controlled, and the beryllium-aluminum composite material is controlled to be cooled between adjacent layer deposition, the thermal gradient and the cooling rate in the solidification and cooling process are reduced, the instantaneous stress peak value caused by the rapid shrinkage and the uneven thermal strain is reduced, the crack driving force is reduced, and the problem that the thermal physical properties of the beryllium and aluminum two phases are greatly different is overcome. The preparation period of the method is short, the forming efficiency is high, the cost is low, and the method can meet the manufacturing of large metal components. The near-net forming of the beryllium-aluminum composite material component can also be realized, and the material utilization rate is greatly improved.

The technical problem to be solved by the present invention is to provide a high-quality SiC single crystal which suppresses the generation of thermal strain during the crystal growth process and which has a small crystal defect density. [Solution] A SiC single crystal substrate having a first main surface and a second main surface positioned on the opposite side of the first main surface is used, and the first main surface is a surface inclined at an off-angle of 0-8 DEG with respect to a {0001} surface. Wherein, in a distribution of phase differences obtained by causing incident light having two polarization components orthogonal to each other and having a wavelength of 520 nm to be incident on the first main surface and measuring a phase difference between first and second emitted light emitted from the second main surface, the average value of the phase differences is 10 nm or less, and the maximum value of the phase differences is 70 nm or less.

The application discloses a kind of ceramic matrix composite temperature-related mechanical properties inversion method, specifically related to the field of composite material performance characterization.It includes: the ceramic matrix composite to be measured is divided into multiple test pieces;Each test piece is heated to target temperature, and the measured thermal strain of multiple points on the surface of each test piece is obtained;For each test piece, at its target temperature, the test piece is uniaxially stretched by loading end, and the measured tensile strain of multiple points on the surface of the test piece during uniaxial stretching, the measured stress-strain curve is obtained;A parameterized function of the mechanical property parameter vector of the ceramic matrix composite to be measured changes with temperature is constructed, to minimize the error function as the goal, the hyperparameter vector is inverted and identified, to obtain the optimal hyperparameter vector, and the mechanical property parameter vector of the ceramic matrix composite to be measured is obtained in combination with the parameterized function.Based on the above method, the mechanical property parameters of microscale component materials can be obtained.

This utility model provides a drive gear with an internal self-lubricating oil channel. It relates to the field of gear technology and includes a gear disc. One end of the gear disc has an inner groove, in which a drive shaft is fixedly connected. A tube is formed through the end of the gear disc opposite to the drive shaft, and a bearing rod is inserted into the tube. An oil pipe is inserted into the bearing rod. An expansion plate, made of a thermal strain material, is filled inside the bearing rod. The beneficial effects of this utility model are: a thermal strain expansion oil supply structure is provided inside the gear disc between the drive shaft and the opposite bearing rod. Combined with the internal oil channel distribution within the gear and the centrifugal force during gear rotation, the internal oil fills the inner end of the gear disc's tooth groove and lubricates the contact end with the driven gear when in contact, achieving self-lubrication of the drive gear, reducing maintenance costs, and ensuring the stability of the drive gear during long-term operation.

The invention provides a bridge monitoring method, system and equipment based on deep learning and a medium, and the method comprises the following steps: collecting an original strain sequence and environmental parameters of each monitoring point of a road bridge, calculating a theoretical thermal strain according to the environmental parameters and a material thermal expansion coefficient, and carrying out the alignment subtraction of the theoretical thermal strain and an original data time sequence, so as to obtain a structural strain through correction; constructing a space-time strain matrix in a preset time window according to the monitoring point position and the acquisition time sequence, and uploading the space-time strain matrix to the cloud; inputting the matrix into a deployed convolutional neural network at a cloud end, extracting deep features by adopting multi-layer convolution comprising a time dimension convolution kernel and a space dimension convolution kernel, and then mapping the deep features into settlement state probability vectors through a full connection layer; and comparing the vector with a reference health state vector, and if the deviation exceeds a safety threshold, triggering settlement early warning. By implementing the technical scheme provided by the invention, environmental interference can be effectively eliminated, and the accuracy and real-time performance of bridge settlement monitoring are improved.

This invention relates to the field of optical fiber packaging technology and discloses a side-polished optical fiber packaging structure for stress relief using thermally induced phase change materials. The structure includes a side-polished optical fiber, a packaging substrate with positioning V-grooves, a fixing adhesive, and thermally induced phase change microcapsules. The optical fiber is divided axially into a polished area and two fixed sections on either side, and is embedded in the V-grooves and bound by the fixing adhesive. The phase change microcapsules are uniformly distributed only in the fixing adhesive between the fixed sections and the V-grooves. Within the packaging area corresponding to the polished area, a pure adhesive layer free of solid particles is filled. When the ambient temperature rises, causing thermal expansion mismatch, the microcapsules in the fixed sections undergo a solid-liquid phase transition, causing a step decrease in the elastic modulus of the adhesive in that area. This microscopic deformation absorbs and unloads the interfacial thermal strain. This invention, through phase change softening and energy absorption, isolates the pure adhesive layer, blocks thermal stress transmission, eliminates stress concentration, and improves the mechanical stability of the packaging structure while ensuring optical field coupling.

This invention relates to the field of sliding bearing simulation and optimization technology, and more specifically to a high-precision simulation and optimization design method for hydrostatic thrust sliding bearings. It establishes an efficient decoupling model of the fluid-solid-thermal three-physics field of the hydrostatic thrust sliding bearing, decomposing the overall thermodynamic field into two subfields, which are coupled with the fluid force field and the solid force field, respectively. Then, it constructs a gap oil film flow / thermal field model and a friction pair deformation solid / thermal field model, achieving equivalent coupling through data transfer. The oil film control equations are iteratively solved to obtain oil film pressure, temperature, and flow velocity; the friction pair equations, including elastic constitutive and thermal strain equations, are solved to obtain their elastic and thermal deformations, with bidirectional data transfer achieving coupled iteration. Based on the above method, simulations are performed, establishing sub-models of oil film flow and friction pair deformation, using local interpolation and dynamic meshing to process the interface; the oil cavity is optimized based on the simulation results, parametric analysis is used to establish the mapping between structural parameters and lubrication performance, the objective function and constraints are defined, and the optimal oil cavity structure is obtained through algorithms.

The invention relates to the technical field of geotechnical engineering safety monitoring, and discloses a tunnel surrounding rock radial deformation distributed monitoring technology based on distributed optical fiber sensing, and a system comprises a composite sensing rod body implanted into a drill hole, demodulation equipment and a main control terminal. An active heat shock interference unit and a spiral, linear and temperature three-channel optical fiber network are arranged in the rod body. The method comprises the following steps: firstly, controlling a heat shock disturbance unit to apply a thermal field, observing a ratio of thermal strain to theoretical free expansion strain based on a spiral channel, and inversely generating a coupling efficiency coefficient to realize in-situ calibration of contact stiffness; and then decoupling and separating radial and axial mechanical strain by using orthogonal topology, and finally correcting the strain by combining a coupling efficiency coefficient and performing integral reconstruction on the radial displacement distribution of the surrounding rock. According to the method, the strain transmission efficiency is quantified through an active heat shock disturbance mechanism, the problem of measurement errors caused by grouting defects is solved, and the accuracy of deformation monitoring is remarkably improved.

This application discloses an ultrasonic thermal strain measurement method and system based on equivalent thermal dose correction, relating to the field of thermotherapy monitoring: acquiring the initial temperature of biological tissue; during the heating process of biological tissue, acquiring ultrasonic echo signal sequences of the target area at preset time intervals; calculating the cumulative thermal strain of the target area at each measurement moment based on the ultrasonic echo signal sequence; coupling and predicting the temperature and equivalent thermal dose at the current moment based on the equivalent thermal dose and temperature at the previous measurement moment, obtaining the predicted values ​​of the temperature and equivalent thermal dose at the current moment; establishing a temperature inversion equation including cumulative thermal strain and equivalent thermal dose, iteratively solving the equation using the predicted value as the initial value, and outputting the corrected temperature value and updated equivalent thermal dose value at the current moment. This application achieves dynamic compensation for the nonlinear changes in acoustic parameters caused by tissue thermal denaturation, thereby improving the temperature measurement accuracy during the ablation stage, expanding the temperature measurement range, and realizing real-time synchronous monitoring of temperature and equivalent thermal dose.

The application discloses a kind of ultra-thin saw blade deformation degree identification method, equipment and medium, belong to precision machining online detection technical field.The application first monitors the temperature difference gradient evolution trend of saw blade edge and center in real time, and executes logic filtering using threshold value based on hardware noise reference automatic determination, to remove the non-thermal displacement interference caused by main shaft mechanical vibration or electromagnetic interference in time domain.On this basis, real-time temperature and axial displacement are synchronously collected, and a geometric constraint correction model containing logarithmic correction term is constructed to calculate real-time deformation coefficient.The logarithmic correction term corrects the physical distortion of the classical unconstrained thermal strain linearization model when dealing with limited disc structure, and successfully realizes the quantitative separation of "harmless thermal displacement" and "abnormal unstable deformation".Finally, the system executes closed-loop judgment according to the deviation degree of real-time deformation coefficient to theoretical thermal response reference, and outputs control signal.The application does not need experimental calibration weight, has very high signal-to-noise ratio and cross-device universality, can sensitively capture saw blade warping precursor, and effectively protects high-value ultra-thin saw blade from plastic damage.

The invention relates to the technical field of concrete monitoring, in particular to a concrete hardening process real-time monitoring device which comprises a stage recognition unit for recognizing the state stage of concrete; the state judgment unit determines that the strain sensor is debonded based on the non-thermal strain residual error, determines that the humidity sensor fails in function based on the humidity change relation of the temperature rise time period, and determines that the temperature sensor has zero drift based on the proportional relation of the net temperature rise and the net strain; the risk root cause unit obtains a thermally induced risk factor and a shrinkage risk factor based on the net temperature rise and the net strain, determines a concrete shrinkage main cause based on the thermally induced risk factor and the shrinkage risk factor in combination with the state stage of the concrete, and adjusts the spraying power of the spraying maintenance device; and the checking and correcting unit is used for adjusting the spatial consistency weight and the physical association weight of the sensor. The monitoring strategy is adaptively adjusted according to the interference of the extreme environment on the concrete state monitored by the sensor, and the detection precision of the sensor is improved.

The invention provides a thermal matching design method for a flexible space solar cell array. The thermal matching design method comprises the following steps: determining a thermal expansion coefficient of a solar cell; the effective thermal expansion coefficient of the flexible substrate in the laying direction of the solar cells is kept in a certain proportion to the thermal expansion coefficient of the solar cells; and determining the thermal mismatch degree of the thermal expansion coefficient and the effective thermal expansion coefficient, and determining the shear modulus and thickness of the adhesive layer according to the thermal mismatch degree under a preset limit temperature difference condition. The method has the beneficial effects that the thermal mismatch driving force is reduced from the source, the thermal stress of the battery piece is reduced, and microcracks or fractures are avoided; parameters of the adhesive layer are matched with the mismatching degree, and vibration load transmission and thermal strain absorption are both considered; and the thermal mismatch degree is quantified, so that the adhesive layer parameter selection has a clear basis, and the design accuracy is improved.

The invention relates to the technical field of bridge construction, in particular to a bridge temperature effect compensation method based on digital twinning, comprising the following steps: S1, acquiring temperature data and strain data of a bridge monitoring area; s2, generating a corresponding temperature pulse sequence and a strain pulse sequence; s3, outputting an indication signal based on a time sequence analysis result; s4, performing temperature effect compensation on the strain data through a pre-constructed bridge digital twin model; a minute-level temperature and strain slow change signal is converted into a pulse sequence decoupled from physical time through asynchronous event driving coding, the contradiction of sampling frequency and crack propagation time scale mismatch is fundamentally solved, and normal thermal strain and damage abnormal strain are intelligently distinguished through timing sequence analysis of a pulse neural network. And a digital twin model is driven to dynamically switch a compensation strategy, and a micro fatigue crack transient signal is accurately captured and separated under the background of strong thermal shock noise.

The application discloses a wind power tower door frame welding deformation software prediction optimization method in the field of wind power tower, and comprises the following method steps: a wind power tower model is established in software, a local interception method is used to extract a part containing a door frame and a door frame surrounding reinforcing rib as a simulation analysis area; the base material material model of the wind power tower body and the door frame is set as S355 grade steel; in the software model, the distribution of heat flow density is described by a Gaussian normal distribution function in probability analysis; a sequential coupling analysis method is used to simulate the numerical value of the welding process; a temperature field is used as a load and applied to mechanical analysis to solve a quasi-static equilibrium equation; and the total strain tensor is decomposed into elastic strain, plastic strain and thermal strain. The application constructs an explicit high-precision prediction model among U, I and v and welding deformation, and realizes direct mapping from a multi-dimensional parameter space to a complex deformation response.

An apparatus for limiting electrode deposition and thermal strain is disclosed. The apparatus includes a fluid source connected to a cooling channel embedded in the electrode. By circulating the fluid through the cooling channel, a more uniform temperature can be maintained, thereby limiting thermal strain. Furthermore, the cooler temperature of the electrode can also limit the deposition rate. The cooling channel may be embedded using an additive manufacturing process.

The invention discloses a thermal stress calculation method of a carbon fiber composite material and metal mixed structure. The method comprises the following steps: 1, acquiring mechanical property parameters and thermal expansion coefficients of a carbon fiber composite material and metal; 2, constructing a two-dimensional finite element model of the carbon fiber composite material and metal mixed structure; 3, calculating the equivalent stiffness of the fastener, and endowing the material with attributes; 4, constructing a carbon fiber composite material plate and a metal plate which are not connected, and calculating to obtain pure thermal expansion; and 5, respectively subtracting the strain calculation values of the composite plate and the metal plate in the non-connection structure from the strain calculation values of the composite plate and the metal plate to obtain the final predicted thermal strain. According to the thermal stress calculation method of the carbon fiber composite material and metal mixed structure, the problem of thermal stress prediction of the carbon fiber composite material and metal mixed structure under thermal load can be effectively solved, and more powerful technical support is provided for structural reliability evaluation and lightweight design.

The present application relates to the field of robot flexible welding, more particularly, the present application relates to a kind of based on visual guidance's grid rod robot flexible welding control method, method includes: using visual sensor and electrical parameter module obtains basic gap width and electrical parameter, in combination with the parameter of previous sampling period, determine the effective heat input index of current sampling period;Based on the fusion of gap deviation ratio and heat overshoot numerical value, calculate the thermal strain trend factor representing deformation trend;Using the factor to scale process reference, obtain wire feeding and amplitude compensation operator;By smoothing processing, generate the target parameter of next sampling period and control actuator.The present application realizes parameter dynamic calibration by distortion prediction, improves weld formation consistency.

The invention discloses a transition circular ring used for dissimilar material connection and having thermal stress reduction and vibration isolation functions, the transition circular ring is connected with a first material element through an inner hole and connected with a second material element through an outer hole, the transition circular ring is of a solid integrated plate-shaped structure, and a plurality of through hole grooves penetrating through the thickness direction of the transition circular ring are formed in the transition circular ring; the through hole grooves are formed in the areas, in strong coupling with a second material, close to the outer holes, the inter-hole ligament areas between the adjacent outer holes and the annular belt areas between the inner holes and the outer holes, the transition circular ring after the through hole grooves are formed still keeps circumferential closed-loop continuity, and the through hole grooves absorb thermal strain generated by the difference of linear expansion coefficients of different materials through local micro-deformation. And meanwhile, as a vibration decoupling interface, transmission of vibration energy between the inner hole ring and the outer hole ring is inhibited by reducing radial transmission rigidity and increasing structural damping. While thermal stress is greatly reduced, effective isolation of micro-vibration is achieved, and the coaxiality and stability of a precise instrument under complex working conditions are guaranteed.

The present application relates to the technical field of superconducting cables, and discloses a method and apparatus for calculating the thermal stress and thermal strain of a CORC cable, a computer device, a computer-readable storage medium, and a computer program product. The method comprises: acquiring a cable core inner surface temperature and a cable core outer surface temperature of a CORC cable, and on the basis of the cable core inner surface temperature and the cable core outer surface temperature, using a thermal balance equation of the CORC cable to determine a steady-state radial temperature distribution of a cable core; acquiring a Young's modulus, a Poisson's ratio, and a thermal expansion coefficient of a cable core functional layer, and on the basis of the steady-state radial temperature distribution, the Young's modulus, the Poisson's ratio, and the thermal expansion coefficient, using a stress-strain balance equation of the CORC cable to determine the thermal strain of the CORC cable; and on the basis of the thermal strain of the CORC cable, calculating the thermal stress of the CORC cable using a stress-strain relationship. The present application achieves rational analysis of the thermal stress and thermal strain of a CORC cable, providing a scientific basis and effective means for evaluating low-temperature shrinkage of superconducting cables.

A method for predicting the multiphysics coupling process of natural hydrogen flow, heat transfer, and rock thermal strain within underground pores, belonging to the field of natural hydrogen resource exploration, focuses on establishing a multiphysics coupling model based on phase field variables to describe the flow, heat transfer, and rock thermal strain within formation pores. A porous medium geometric model is established based on the underground pore structure of the rock. This model is then meshed to obtain several grid cells reflecting different spatial distribution locations of natural hydrogen within the underground pore structure. Initial and boundary conditions are set for the porous medium geometric model. Based on the multiphysics coupling model, the spatiotemporal evolution characteristics of hydrogen volume fraction, water volume fraction, fluid temperature, rock matrix temperature, and rock matrix thermal strain values ​​in each grid cell of the porous medium geometric model are solved to obtain their temporal and spatial distribution. This invention achieves a more accurate and systematic assessment of the natural hydrogen accumulation mechanism and its stability.

The invention provides an adhesion prediction method considering temperature influence, which comprises the following steps: establishing a calculation model comprising a rigid sphere and a deformable substrate, and applying an adhesion force field and a temperature field at a contact interface; the rigid ball body is driven to complete the contact and friction processes with the deformable base; the differential point direction force of the contact interface is calculated, temperature-related adhesion performance data are obtained through integration, the interface contact state is judged according to force signals and stress states obtained through calculation, and an adhesion force field is dynamically updated; the thermal strain is used as a variable, temperature-related adhesion performance data is obtained based on different thermal strain conditions, and a quantitative incidence relation between the thermal strain and the temperature-related adhesion performance data is established. The method has the beneficial effects that the influence of the thermal expansion coefficient on the interface adhesive force and the stripping force is predicted, and the blank that an existing prediction method lacks a temperature field is filled up; the photoelectric conversion efficiency of a photovoltaic system in the lunar / fire exploration project is improved, the research and development period is shortened, and the economic loss is reduced.

The invention discloses a thermal strain alloy support plate flame stabilizer applied to an afterburner, and belongs to the field of aero-engine afterburner design. The thermal strain alloy flame stabilizer is composed of two thin-wall performance adjusting plates, the adjusting plates generate thermal bending moment and deform when forming a temperature gradient in the thickness direction, and therefore the divergence angle of the tail edge of the supporting plate is changed in a self-adaptive mode. Flow channel blockage is weakened, and the total pressure loss is reduced; under the afterburning working condition, high-temperature fuel gas in a backflow area heats the inner side of the adjusting plate to promote the adjusting plate to expand outwards, a larger trailing edge divergence angle and the backflow area are formed, fuel evaporation and mixing are accelerated, and the penetration depth and the space uniformity are improved; meanwhile, the temperature difference is further increased through liquid drop impact and evaporation heat absorption, and deformation and combustion efficiency is enhanced. An additional executing mechanism is not needed, the structure is simple and reliable, and stress application efficient combustion and non-stress application low-resistance operation can be both considered.