539 results about "Thermal simulation" patented technology

The invention relates to the technical field of chip heat management, and discloses a chip heat distribution prediction modeling method and device, and the method comprises the steps: obtaining chip design information, carrying out the three-dimensional grid division through a pre-training transfer learning neural network, and constructing an electricity-heat-force multi-physics field coupling model; the method comprises the following steps: monitoring operation load data in real time, carrying out thermal simulation and generating a temperature distribution characteristic matrix, collecting data through a temperature sensor array, simulating thermal diffusion by using particle filtering and Bayesian inference, compressing and reconstructing the temperature distribution characteristic matrix by using a variational auto-encoder, generating a digital twinborn body, and optimizing a heat dissipation strategy by using deep reinforcement learning. The temperature control strategy is generated, the chip heat management precision is improved, the heat dissipation strategy is optimized, the performance and stability are improved, and the problem of insufficient prediction of temperature distribution in a traditional heat management scheme in the prior art is solved.

The invention discloses an equipment temperature adjusting method fusing a long short-term memory network, and particularly relates to the technical field of temperature control, which comprises the following steps: determining the deployment position of a sensor through thermal simulation, collecting multi-source heterogeneous data, dynamically adjusting the sampling frequency in combination with the temperature and the load current change rate, and adjusting the temperature of the sensor; after data preprocessing, an attention mechanism enhanced LSTM prediction model is constructed, a time sequence sample data set is divided according to equipment thermal response characteristics, training is carried out, and an optimal model is obtained through early stop mechanism optimization; predictive feedback double-closed-loop regulation and control is achieved based on the optimal model, outer loop PI control is combined with an integral separation mechanism to generate a basic control quantity, an inner loop outputs a correction quantity through fuzzification, reasoning and defuzzification, an actuator is driven after superposition, and safety linkage is triggered synchronously; constructing an incremental data buffer pool to screen effective samples, and adaptively updating model parameters by adopting a layered fine tuning strategy; the temperature regulation and control precision and the long-term self-adaptive capability are obviously improved, and the over-temperature risk of equipment is reduced.

A grading evaluation method for high-maturity gas source rock based on hydrocarbon generation and expulsion simulation includes: establishing a change curve of hydrocarbon generation yield based on a hydrocarbon generation thermal simulation experiment; establishing a change curve of hydrocarbon expulsion of source rocks based on a principle of material balance; determining a classification boundary of source rocks based on the change curve of hydrocarbon generation yield and the change curve of hydrocarbon expulsion of source rocks; and obtaining a spatial distribution of different types of source rocks by combining logging interpretation according to the classification boundary of source rocks. In the method, the evaluation model and change curve of hydrocarbon generation yield, retained gas volume and hydrocarbon expulsion volume of source rock are established, and the classification standard of gas source rock at different maturity stages is determined by combining the change curve of hydrocarbon expulsion efficiency under different maturities.

The invention relates to the technical field of electric vehicle power battery thermal management, and discloses a temperature change-based power battery thermal management system, which comprises a thermal simulation pre-judgment end, a sensor network end, a dynamic liquid cooling control end, a BMS decision end and a fault diagnosis module, aiming at the technical defects of out-of-control temperature difference, response hysteresis and leakage risk caused by static flow channel design of the existing liquid cooling system, breakthrough is realized through a three-dimensional technical architecture: a CFD (Computational Fluid Dynamics) prejudgment layer: automatically calibrating sensor distribution points based on temperature field standard deviation, and improving temperature difference identification precision; according to the dynamic valve control layer, an electromagnetic three-way reversing valve is adopted to execute a directional temperature control strategy, an edge battery cell is preferentially introduced under the low-temperature working condition, and heat dissipation is enhanced under the high-temperature working condition; according to the redundant safety layer, the valve body and the pipeline are integrally formed, the leakage rate is reduced, and flow maintenance under single-point failure is achieved through a double-water-inlet parallel pump source. The method has the effects of improving the convergence speed of temperature difference between modules, reducing the attenuation rate of battery life and reducing the risk probability of thermal runaway.

The invention relates to the technical field of surface mounting control, and discloses an SMT surface mounting optimization control method and system based on multi-source data, and the method comprises the steps: collecting current surface mounting information, comparing the current surface mounting information with optimization judgment parameters, and judging whether to carry out surface mounting optimization control or not. When it is judged that optimization is carried out, historical SMT patch image data are collected, and defect feature vectors are obtained; and constructing an electrical attribute vector and a three-dimensional space distribution model of the soldering paste, executing thermal simulation calculation, and obtaining a thermal field distribution diagram of the component mounting area. And taking the defect feature vector, the electrical attribute vector and the thermal field distribution diagram as multi-source input, inputting the multi-source input into a multi-head attention neural network model, and outputting a patch optimization control parameter group. And driving the surface mounting equipment to execute surface mounting operation according to the surface mounting information and the surface mounting optimization control parameter group. According to the invention, the mounting reliability, customization capability and self-adaptability are improved, and precise and high-quality mounting control of complex special-shaped devices and high-temperature-sensitive elements can be realized.

The invention discloses an intelligent optimization decision-making method and system for an oilfield water injection system, and belongs to the technical field of oilfield development engineering. The method comprises the following steps: constructing a pipe network digital twinborn model and carrying out actual measurement verification; executing hydraulic-thermal simulation based on the model to generate a pressure-flow map; optimizing water distribution in combination with an injection allocation scheme and matching a pump set combination; generating a control instruction and executing a pressurization scheme; monitoring the state of the pipe network in real time and correcting model parameters. Through the digital twin technology and the differential evolution algorithm, global optimization decision of water distribution and pump set combination of the water injection system is achieved, and the problems that a traditional system is high in energy consumption and low in efficiency are solved.

Disclosed in the present invention are an intelligent liquid cooling plate optimization method and apparatus based on CFD numerical simulation. The method comprises: first, establishing a 3D battery pack model on the basis of liquid cooling plate design parameters and other component design parameters; then, on the basis of the 3D battery pack model, performing thermal simulation modeling and thermal simulation calculation on a battery pack; on the basis of a thermal simulation result, using a particle swarm multi-objective optimization algorithm to optimally calculate locally optimal solutions of the liquid cooling plate design parameters, and determining whether the locally optimal solutions converge; and using a loop iteration mode to calculate the locally optimal solutions of the liquid cooling plate design parameters until the locally optimal solutions converge, and then obtaining globally optimal solutions. Three-dimensional CAD software, CFD simulation software and an optimization interface are interconnected to each other, so that the operation of the whole process of design, simulation and optimization of a liquid cooling plate can be completely and intelligently realized simply by means of inputting key design parameters of the liquid cooling plate in an initial design stage; and an optimal design scheme is obtained by means of implanting the particle swarm multi-objective optimization algorithm. The present invention achieves a high speed and high efficiency.

The invention discloses an electromechanical composite transmission IGBT junction temperature prediction method based on a NODE reduced-order model. A thermal simulation model is constructed according to a real physical model mechanism, a material and a thermal transfer principle of an IGBT; in the constructed thermal simulation model, performing simulation calculation according to the monitored time sequence data to obtain the junction temperature of the IGBT corresponding to the time change, jointly establishing a data set for training and testing with the monitored data, establishing a NODE neural network order reduction model comprising an input layer, a hidden layer and an output layer, and training the NODE neural network order reduction model by using the data set; and inputting the IGBT related time sequence data into the constructed NODE neural network reduced-order model for prediction to obtain the time sequence data of the junction temperature. According to the method, the IGBT junction temperature can be predicted in real time, the calculation efficiency is high, the interpretability is high, the long-term dependence problem can be better solved, and the method is suitable for complex working conditions.

The invention relates to a thermal simulation numerical simulation method of a multi-physics field architecture with CFD as a core, and belongs to the technical field of cross of computational fluid mechanics and heat transfer science. The method comprises the following steps: constructing a geometry and a conformal / non-conformal grid, presetting a model library, establishing association between a region and a physical field through physical group division, confirming a boundary and initial parameters, and screening a core simulation model; dividing an independent control volume based on a core numerical model, converting an area component and a volume component through integral operation, discretizing a boundary flux to construct a parameter matrix, then solving an equation set, and synchronously optimizing the grid quality; calculating a boundary flux and matching a discrete format, a turbulence model and a corresponding multi-physical field coupling model; original data are screened and processed, and cloud picture results such as temperature and flow field are generated through visualization. Accurate simulation of a multi-physics coupling scene is achieved, the precision and stability of thermal simulation under complex working conditions are improved, and efficient and reliable technical support is provided for engineering design optimization and performance evaluation.

The invention discloses a flood lake wetland heat flux simulation method in a watershed hydrological model, and relates to the technical field of heat flux simulation, and the method comprises the following steps: dispersing a watershed space into a slope river channel and a lake wetland, simulating the water movement of a slope river channel unit, and simulating the water movement of the lake wetland; the method comprises the following steps: simulating surface energy exchange for a lake wetland unit on the basis of simulating a hydrological process, simulating land hydrology and lake inflow runoff of a sub-basin by adopting a grid-based distributed hydrological model, respectively dividing simulation grid units for a slope river channel and a lake wetland, establishing evapotranspiration, infiltration and surface runoff models, and establishing an evapotranspiration, infiltration and surface runoff model; a two-dimensional shallow water equation is used for processing slope confluence, a one-dimensional hydrodynamic model is used for calculating river channel confluence, a lake water quantity balance model is established for calculating the lake water level, the lake submerging process is simulated, and the lake wetland distributed heat flux process is simulated. And the technical blank of flooding wetland hydrothermal simulation is filled.

Described herein are systems and methods for detecting flaws during an additive manufacturing (AM) process. A method can include accessing, by a computer, simulation results of a computer-modelled part representing a physical part to be formed using the AM process. The simulation includes a thermal history model for the computer-modelled part. During run-time formation of the physical part, the method includes receiving, from sensor devices, real-time sensor data of temperature values for nodes within regions of the physical part as each region is formed. The method also includes determining, for each region as the region is formed in the physical part, a deviation between the real-time sensor data of temperature values for nodes within the region and temperature values of the thermal history model for the computer-modelled part, and identifying flaws in the physical part based on determining that the deviation satisfies criteria indicating a flaw.

The invention discloses a rapid thermal simulation method and system for a semiconductor power assembly, and relates to the technical field of semiconductors, and the method comprises the steps: collecting a voltage V (t) signal and a current I (t) signal of the semiconductor power assembly in real time through a voltage and current sampling circuit, constructing a power pulse input sequence A, and carrying out the hot carrier accumulation analysis according to the power fluctuation change amplitude; introducing a transient thermal resistance function Zth (t), fitting the transient thermal resistance function Zth (t) with a hot carrier pulse response index Mcx after numerical integration to analyze junction temperature change caused by power pulse, and evaluating an equivalent junction temperature dynamic change rate; when the analysis result is that the thermal drift out-of-control trend exists, thermal risk analysis is carried out, and thermal risk state assessment is generated; the simulation model optimizes thermal model parameters and outputs thermal control suggestions through a rollback correction path, and the working state of the semiconductor power assembly is automatically adjusted. According to the method, real-time monitoring and effective prevention and control of thermal runaway can be realized, and the reliability and safety of the semiconductor power assembly are improved.

The invention discloses a mobile phone thermal simulation method and system based on multi-physics field coupling, relates to the field of mobile phone thermal simulation, and constructs hybrid simulation coupling machine learning and physical solution. A machine learning agent model and a throttling logic script are innovatively introduced. The machine learning agent model is used for quickly predicting the temperature according to the current power consumption so as to instantaneously respond to the power consumption change; and the throttling logic script is used for simulating a real temperature control frequency reduction strategy and dynamically adjusting the target power consumption at the next moment according to the predicted temperature. In this way, the original black box temperature control logic is explicit, and a power consumption-temperature closed-loop feedback path is constructed. And finally, taking the adjusted power consumption as a heat source, and performing physical field solving by a traditional CAE solver. Therefore, the problem of time scale difference between heat conduction and electrical change is effectively solved, and efficient and accurate simulation of true performance and temperature performance of the mobile phone in a long-time high-load scene is realized.

Provided in the present application are a heat dissipation test system and method, and an apparatus, a device and a computer program product. The heat dissipation test system comprises a heat dissipation apparatus and a plurality of heat production simulation apparatuses, wherein each heat production simulation apparatus is used for simulating a heat production component that requires heat dissipation in a server, the plurality of heat production simulation apparatuses are accommodated in the same box body, and actual heat dissipation components simulated by the plurality of heat production simulation apparatuses are not components in the same server; and the heat dissipation apparatus is used for performing cooling treatment on the plurality of heat production simulation apparatuses. In the heat dissipation test system, actual heat dissipation components that actually require heat dissipation in servers are simulated by the heat production simulation apparatuses, and since the heat production simulation apparatuses are not actual heat dissipation assemblies in the servers, even if a heat generation simulation apparatus is damaged during a test, damage to a server would not be caused, thereby alleviating the problem in the related art of high test cost being caused by server damage when a real server is used to test a liquid cooling cabinet.

The invention provides a visual detection method for interface water droplet induced electron generation in a high-temperature and high-pressure hydrocarbon-water system, and belongs to the technical field of in-situ analysis of electrons in mixed fluid. The detection method comprises the following steps: preparing a fused quartz capillary reaction cavity; loading a sample in a fused quartz capillary reaction cavity: sequentially inserting a thin capillary syringe filled with a silicomolybdic acid aqueous solution and a thin capillary syringe filled with a hydrocarbon liquid into the fused quartz capillary reaction cavity, and injecting the silicomolybdic acid aqueous solution and the hydrocarbon liquid; and carrying out visual detection on the water droplets. Through the visual fused quartz capillary thermal simulation experiment device, the color change of the water droplets at the interface of the silicomolybdic acid aqueous solution and the hydrocarbon fluid under the conditions of high temperature and high pressure is visually displayed, and the color characteristics of the water droplets are observed in real time by using a microscope, so that whether the water droplets induce electron generation or not is judged; the problem that electrons generated by water droplets cannot be directly observed and detected under high-temperature and high-pressure conditions is solved.

The invention discloses an interventional therapy path planning system based on ultrasonic imaging, and relates to the technical field of interventional therapy systems.An image acquisition module acquires a two-dimensional or three-dimensional ultrasonic image of an operation area, and standardized input of image data is achieved; the structure identification module executes a medical image segmentation task based on the ultrasonic image and identifies a key anatomical structure in the image; the geometric modeling module constructs a three-dimensional space model according to the structure recognition result; the thermal simulation prediction module comprises a heat conduction simulation sub-module and a thermal parameter dynamic adjustment sub-module; the temperature feedback module reconstructs a three-dimensional temperature field image in the target tissue based on the tissue temperature feedback signal; the parameter updating module executes real-time updating of heat conduction parameters based on the residual error between the predicted temperature field and the observation temperature field collected by the temperature feedback module; the problems that in existing interventional therapy, thermal control precision is low, path planning depends on experience, and tissue dynamic changes are difficult to deal with are effectively solved.

The invention relates to the technical field of oil-gas exploration, in particular to a hydrocarbon generation potential evaluation method for marine hydrocarbon source rocks. On the basis of determining terrestrial source and sea source organic matter proportions of marine facies hydrocarbon source rocks in different sedimentary areas, marine facies hydrocarbon source rock thermal simulation experiments of different terrestrial source / sea source organic matter proportions are carried out, and gaseous hydrocarbon yields of the marine facies hydrocarbon source rocks of different terrestrial source / sea source organic matter proportions and isotope characteristics and activation energy of gaseous hydrocarbons of different maturity degrees are determined; according to generation, storage and cover layer parameters of a research area, selecting a suitable model and giving suitable parameter values, performing numerical simulation on hydrocarbon source rocks with different terrestrial / sea source organic matter proportions, and finally quantitatively determining hydrocarbon generation potential of hydrocarbon source rocks with different sedimentary areas and different terrestrial / sea source organic matter proportions in the research area by combining burial-thermal history evolution of the research area. And obtaining a hydrocarbon generation and expulsion period and a charging process, and determining a main reservoir forming period. Compared with the prior art, the hydrocarbon generation potential evaluation accuracy of the marine hydrocarbon source rock can be greatly improved.

The invention relates to the technical field of integrated circuits, discloses an electrothermal simulation and vertical interconnection planning system, method and device for integrated core particles, and solves the problems of low thermal simulation efficiency, incomplete electrothermal coupling modeling and VIC redundancy. The temperature simulation module is used for performing temperature simulation on core particle packaging based on an effective thermal conductivity model and a thermal resistance and thermal capacity network solver, and the effective thermal conductivity model determines thermal conductivity of different packaging layers through a predefined lookup table; a core particle architecture emulator for performing temperature dependent power consumption analysis in which the temperature dependencies of dynamic power consumption and leakage power consumption are modeled by a temperature scaling function; a vertical interconnect planning module to optimize the number of vertical interconnects (VICs) under signal connectivity, power routing constraints, and thermal integrity constraints; according to the system, through iteration of electrothermal coupling simulation and adjustment of power consumption distribution and VIC planning, the temperature of the core particles is lower than a preset threshold value, and the number of VICs is minimized.

The invention discloses a side plate type heat exchanger performance testing system and method, and relates to the technical field of heat exchanger testing, and the system comprises a computer which is used for constructing a digital twinborn model, generating multiple groups of dynamic working condition data, inputting the multiple groups of dynamic working condition data into the digital twinborn model to obtain dynamic performance data, screening according to the sensitivity coefficient of each piece of dynamic performance data to obtain sensitive working condition data; the test equipment executes the sensitive working condition data and collects actual measurement state data of the side plate type heat exchanger; and the computer judges whether the performance of the side plate heat exchanger meets the design requirement according to the actually measured state data. Physical modeling is carried out on the heat exchanger in a digital twinning mode, heat exchange simulation is carried out on the heat exchanger, invalid test working conditions are deleted from a parameter set, only sensitive working conditions are reserved, and time, manpower and energy cost needed by testing is greatly saved.

The invention relates to the technical field of visual management, in particular to a visual management method and system for a plastic product production line and a medium. The method comprises the following steps of scanning spectral characteristics of raw materials, analyzing the spectral characteristics to generate multi-dimensional characteristics, performing thermal stability evaluation, constructing a raw material topological unit, acquiring environment data of a production line to construct a virtual environment field, performing virtual reconstruction on the raw material topological unit, generating a visual production line, and displaying the visual production line. Further obtaining historical production records, performing thermal topology tracking, constructing a production line temperature change field, performing material heating simulation based on the field and a raw material topological unit, recording a heating response behavior, combining with calculation to obtain a heat influence coefficient, and finally performing defect development prediction according to the heat influence coefficient and the temperature field. And visual warning in advance is realized, so that the production efficiency and the quality management are improved. The visual management method for the plastic product production line is more efficient and more stable.

The invention relates to a method for decoupling organic matter primary-secondary cracking hydrocarbon generation conversion rate based on a gold tube hydrocarbon generation thermal simulation experiment. The method comprises the following steps: step 1, acquiring kerogen gold tube hydrocarbon generation thermal simulation experiment data; step 2, parametric modeling of the kerogen hydrocarbon generation process; step 3, constructing a least square target model under a multi-constraint condition; step 4, performing nonlinear least square optimization solution under the constraint condition; and 5, calculating the hydrocarbon generation conversion rate. According to the method, conversion rate calculation is carried out on the cumulant of each hydrocarbon generation process obtained through decoupling, the conversion rate evolution rule of the kerogen oil generation, gas generation, crude oil cracking gas generation, non-reactive carbon formation and other processes along with maturity change in the crude oil cracking process can be obtained, and a quantitative basis is provided for refined hydrocarbon generation evaluation.

The invention belongs to the technical field of numerical simulation and damage intelligent detection, and relates to an aircraft surface structure damage infrared feature simulation and sample generation method. According to the method, through the design of the virtual interface layer and the secondary homogenization, the magnitude order improvement of the full-size transient thermal simulation efficiency is realized while the physical precision is ensured, and batch simulation of a large number of damaged working conditions becomes possible. The physical effect of a sensor of the infrared camera is simulated through high fidelity, so that a simulation image is highly consistent with real external field data in the aspects of noise, texture and other characteristics, and the'simulation-reality 'domain difference is effectively reduced. By directly associating the simulation process with the preset damage parameters, automatic, accurate and zero-error generation of the truth value information is realized, and the problems of high manual labeling cost and poor consistency are fundamentally solved. According to the method, an efficient and reliable data generation way is provided for training a high-precision and high-robustness external field intelligent detection model, and the method has a definite engineering practical value.

The invention relates to a method for decoupling organic matter primary-secondary cracking hydrocarbon generation conversion rate based on gold tube hydrocarbon generation thermal simulation-solid product pyrolysis experiment. The method comprises the following steps: step 1, kerogen gold tube hydrocarbon generation simulation and solid product rock pyrolysis experiment data acquisition; step 2, parametric modeling of the kerogen hydrocarbon generation process; step 3, constructing a least square model of multi-source experimental information collaborative constraint; 4, carrying out optimization solution under a multi-source experiment information collaborative constraint condition; and 5, calculating the hydrocarbon generation conversion rate. According to the method, conversion rate evolution characteristics of each hydrocarbon generation process are quantitatively represented, conversion rate calculation is performed on cumulant of each hydrocarbon generation process obtained through decoupling, and conversion rate evolution rules of kerogen oil generation, kerogen gas generation, crude oil cracking gas generation, non-reactive carbon formation and other processes along with maturity changes in the crude oil cracking process can be obtained; and a quantitative basis is provided for refined hydrocarbon generation evaluation.

The invention discloses a thermodynamic system parameter distribution method and device, and the method comprises the steps: S1, analyzing a block definition diagram and an internal block diagram from a SysML model to obtain a module structure description, a module value attribute, an interface specification of an equipment unit and a thermodynamic parameter description, and generating an analysis result, the analysis result comprises equipment unit port and connector information. And S2, based on the analysis result, mapping the equipment module to a simulation software element through name matching, and generating a steady-state thermal simulation model. And S3, associating the module value attributes with element attributes of the steady-state thermal simulation model through a parameter mapping mechanism, and generating attribute mapping data. And S4, generating a complementation parameter list according to the external design value and the heat balance demand. Therefore, the efficiency and accuracy of parameter allocation are improved, manual intervention is reduced, and it is ensured that the allocation result meets the requirements of system performance.

The invention relates to a thermal simulation testing machine sample clamp, a cooling device and an annealing test method, and belongs to the technical field of metal material plate strip annealing tests in the metallurgical industry. According to the technical scheme, the method comprises the following steps: firstly, clamping a sample on a sample clamp, and then putting the sample clamp into a cavity of a thermal simulation testing machine; vacuumizing the cavity of the thermal simulation testing machine, and forming a protective atmosphere in the cavity; heating the sample to 950-1050 DEG C at the speed of 10-50 DEG C / s, keeping the temperature for 3-5 minutes, then quickly cooling the sample to room temperature by blowing, and recording a temperature curve; and stretching the sample subjected to annealing simulation at room temperature, analyzing test data, and observing a metallographic structure through an optical phase microscope. The device has the beneficial effects that on one hand, the problems of short soaking area and low cooling speed in the existing plate and strip annealing test are solved, the processing requirements of a standard tensile sample are met, on the other hand, tedious Jaw module mounting and dismounting operations are avoided, and the test period is shortened.

The invention discloses an aero-engine complete machine three-dimensional simulation debugging method and device and a storage medium, and belongs to the field of aero-engine aerodynamic thermal simulation. The core of the method is to systematically solve the problem of simulation convergence through a two-stage strategy of component gradient pre-convergence and complete machine dynamic adaptive coupling. And at the component level, steady pre-convergence of the flow field is realized through progressive physical loading and stability control aiming at a gas compressor, a combustion chamber and a turbine. At the complete machine level, dynamic calculation parameter adjustment and flow field stability control based on flow field real-time stability are adopted, and it is ensured that the coupling process is rapid and stable. According to the invention, geometric grid standardization, post-processing verification, variable working condition debugging and real-time monitoring abnormity processing functions are expanded. According to the method, the convergence efficiency, the success rate and the result credibility of simulation are remarkably improved, the calculation interruption rate can be reduced by more than 75%, and the method is suitable for engineering design and optimization of aero-engines.

The invention discloses a simulation method and system for microwave-induced heterogeneous rock heating fracture, and relates to the technical field of rock crushing engineering.The simulation method comprises the steps that an image of the surface of heterogeneous rock is obtained, and contour images and distribution characteristics of various mineral components in the image are extracted; establishing a microwave heating model in finite element software, and establishing a GBM numerical model in discrete element software; inputting the mineral composition contour image into finite element software, obtaining a pixel value, assigning the pixel value, and carrying out microwave heating simulation; and performing temperature assignment on the temperature discretization conversion, the GBM numerical model and the thermodynamic constitutive model as final temperature distribution, and performing thermal-mechanical coupling calculation on the GBM numerical model to obtain final temperature field distribution and a fracture mode. According to the method, the limitation of generating a numerical model through a traditional random function is broken through, the numerical model based on real mineral distribution is constructed through the image recognition technology and refined numerical modeling of the mineral crystal model, the accuracy is higher, and the method is more persuasive.

The invention discloses a direct current motor drive circuit layout optimization method based on thermal simulation, and relates to the technical field of circuit layout optimization. The method comprises the following steps: modeling circuit thermal characteristics, defining a thermal resistance network of a power device, considering a heat conductivity coefficient of a PCB, constructing an electric-thermal coupling model, setting boundary conditions, loading current and voltage, solving a temperature field by using a Joule law and a Fourier equation, defining layout variables, establishing an objective function containing junction temperature, temperature difference and cost, and performing iterative optimization by using a genetic algorithm. And thermal simulation optimization of the layout of the driving circuit is realized. The temperature field is accurately predicted, the heat management efficiency is improved, and the optimization period is shortened; thermal coupling influence is reduced, chip stability is guaranteed, multi-working-condition verification is reliable, heat dissipation is consistent with simulation, cost can be reduced, and safety and service life of a motor system are improved.

The invention discloses a closed space temperature rise evaluation method and device for a Stirling cylindrical linear motor. The method comprises the following steps: building a motor model; obtaining a fluid domain model of the closed space according to the motor model; performing CFD simulation according to the fluid domain model to obtain a convective heat dissipation coefficient; acquiring loss and heat generation rate of the heat source part; obtaining a first model according to the motor model, the fluid domain model and the loss and heat generation rate; performing steady-state thermal simulation according to the first model based on a first condition to obtain steady-state temperature distribution; the first condition comprises removal of convection heat dissipation of a cylindrical linear motor and a fluid domain contact surface; importing the convective heat dissipation coefficient into the first model to obtain a second model; and taking the steady-state temperature distribution as initial temperature distribution, performing transient thermal simulation according to the second model, and taking a simulation result as initial temperature distribution of transient thermal simulation of a next time step until calculation of a preset maximum time step is completed, so as to obtain the running temperature rise of the motor.

In an embodiment, a method for fast prediction of hotspot temperatures in three-dimensional (3D) integrated circuit (IC) chips, can involve inputting a dataset comprising thermal simulation data and associated parameters for 3D IC chips, wherein the dataset includes variables such as power distribution, processor core location distribution, and Through Silicon Via (TSV) distribution, applying a K-fold CrossValidation (K-CV) algorithm to train a machine learning model using the inputted dataset, wherein the K-CV algorithm is employed to optimize the training process and prevent overfitting, utilizing a Support Vector Regression (SVR) algorithm within the trained machine learning model to predict hotspot temperatures of the 3D IC chips, and adjusting a cooling strategy for cooling the 3D IC chips, in response to monitoring the hotspot temperatures via the trained machine learning model. The 3D IC chip can include a multi-layer structure including a group of vertically stacked semiconductor layers.