205 results about "Experimental methods" patented technology

The invention discloses a method for preparing a single-layer tungsten diselenide nanoband based on a space confinement strategy. By changing the flow and the growth time of hydrogen, effective control on the width and the thickness of a nanoband can be realized. The method comprises the following steps: uniformly spraying tungsten trioxide powder to one substrate, then covering the substrate by the other substrate, and forming micro reaction space which is of a 'sandwich'-like structure. Growth of a tungsten diselenide nanoband is carried out by utilizing a constant-pressure chemical vapor deposition method; physicochemical characteristics of a one-dimensional transition metal chalcogenide strongly depend on suspension key types on the edge of the one-dimensional transition metal chalcogenide, metallic properties are displayed by an ultranarrow band, and conversion from the metallic properties to semiconductor properties can be displayed from the edge to the center of a wider band; the tungsten diselenide nanoband is widely applied to micro-nano photoelectric devices due to the special property; industrial production of the tungsten diselenide nanoband can be realized through an experimental method of the invention.

According to the intelligent training method, the prediction method, the equipment and the medium for the pharmacokinetic properties of the polypeptide drugs, based on the prediction model obtained through training, the pharmacokinetic properties of at least two polypeptide drugs can be predicted, and compared with a traditional experiment method, the intelligent training method has the advantages of being efficient, accurate and comprehensive in effect and high in practicability. And the comprehensive systematic prediction platform can promote the unification of model data standards developed by different research teams, and effectively ensures the actual value of the polypeptide drug in early screening and optimization.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention belongs to the technical field of biological information, and relates to an acetylcholin esterase inhibitor prediction method based on Stacking ensemble learning and molecular feature fusion, which comprises the steps of data collection and preparation, data annotation and optimization, feature extraction and analysis, construction of a Stacking model, result verification and feedback and construction of a prediction platform. The molecular fingerprints and the property descriptors are used as features, and an acetylcholin esterase inhibitor classifier is successfully constructed by adopting a Stacking algorithm. According to the method, the problems that the efficiency of finding the acetylcholin esterase inhibitor by a traditional experimental method is low, and a common quantitative structure-function relationship method is high in complexity and poor in generalization ability can be solved, the new drug finding speed is increased, experimental candidates are accurately positioned, and resource waste is reduced.

The invention discloses a UHPC key tooth dry joint direct shear acoustic emission characteristic test method, and belongs to the technical field of UHPC tests.The UHPC key tooth dry joint direct shear acoustic emission characteristic test method comprises the steps that S1, a UHPC test piece is designed and prepared; s2, building a test system which comprises a loading device, an acoustic emission monitoring device and a displacement and strain monitoring device; s3, the test piece is tested through a test system, and corresponding data are collected; s4, analyzing the data, and revealing a dry joint shear stress behavior and a damage failure mechanism under different parameter settings of the test piece by combining acoustic emission characteristic parameters; the UHPC key tooth dry joint direct shear acoustic emission characteristic test method provided by the invention breaks through the limitation of traditional load-displacement curve, crack observation and other methods, realizes real-time, continuous and multi-stage monitoring, and comprehensively masters the damage evolution dynamics.

The invention discloses an experimental measurement method for simultaneously measuring dynamic caustic and DIC, and compared with an existing traditional measurement technology, the method for simultaneously measuring the dynamic caustic and the DIC is remarkably improved. In traditional measurement, a single experimental method often has a large error range, and the requirements of high precision and high reliability are difficult to consider. By introducing data fusion of the two systems, the method effectively makes up for the defects of a single measurement technology, and provides more accurate and reliable experimental data. Repeated calculation and fine analysis of each step enable the final measurement result to be greatly optimized, particularly in the measurement of object deformation, fine changes can be better captured, and the influence of external interference is reduced. The novel experimental measurement method not only improves the precision of the experimental result, but also enhances the controllability and flexibility of the measurement process, significantly improves the accuracy of mechanical properties and deformation analysis, and promotes the development of the modern experimental technology.

The invention provides an instruction data matching experiment method, system and device and a storage medium, and belongs to the technical field of artificial intelligence, and the method comprises the steps: determining each data set participating in the fine tuning of a large model, setting the parameters of a genetic algorithm, and randomly generating an initial population; each individual in the initial population is used for fine tuning training of a large model; evaluating the large model after fine tuning training to obtain a fitness value corresponding to each individual; selecting an individual with the highest fitness value for generating a next-generation population; pairing the selected individuals, and performing crossover operation according to a set crossover probability; performing gene variation on newly generated individuals according to a set variation probability to generate a new generation of population; and replacing the current population with a new generation of population generated through genetic manipulation, repeatedly executing the steps until a set termination condition is reached, and outputting an individual with the highest fitness value in the new generation of population to obtain an optimal matching scheme. The data matching efficiency is improved, and the labor cost is reduced.

The invention belongs to the technical field of ferrous metallurgy, and particularly relates to a method for determining dissolution kinetics of solute in metallurgical slag based on molecular dynamics simulation, compared with a traditional experimental method, molecular dynamics simulation does not need a large number of thermal state experiments and complex detection modes, and large-scale simulation calculation can be rapidly completed on a computer. And meanwhile, various different conditions can be simulated in a short time, and superior processes and slag systems can be quickly screened out. According to the method, the reaction which is difficult to observe clearly can be visualized, the atomic trajectory behavior of the dissolution behavior, the dynamic change, the dispersion process of the solute and the like are provided, rich and accurate information is provided for research on dissolution kinetics, and the dissolution rule and the structure evolution mechanism of the solute in the high-temperature melt can be revealed. In addition, the method is high in safety, and danger possibly brought by a high-temperature experiment is avoided.

The invention relates to a theoretical research method of an ultrafast laser ablation mechanism, which comprises the following steps of: creating a double-temperature model for solving the change of electron and lattice temperatures along with time by adopting a finite difference method; in order to further explain a removal mechanism of a macroscopic material, a fluid mechanics model is established, a solid-liquid interface is tracked by a thermal enthalpy-pore method, a liquid-gas interface is tracked by a level set method, and the influence of backflushing pressure, surface tension, gravity and a Margoney effect on a molten pool is considered; and solving a Navier-Stokes equation set and a level set equation to obtain a solid-liquid-gas three-phase fluid mechanics model. The lattice temperature obtained by the double-temperature model is used as a heat source to be input into the fluid dynamic model, and the process of molten pool flowing and metal steam eruption is obtained. According to the method, the whole femtosecond laser ablation process is simulated by using a simulation method. Compared with an experimental method, on one hand, the time and the cost are greatly saved, and on the other hand, the problem that the temperature change of the femtosecond scale cannot be accurately measured by the current characterization means is also avoided.

The invention relates to a sampling algorithm strategy set construction method based on experimental problem feature matching. The method comprises the following steps: acquiring at least one experimental problem feature; according to the at least one experimental problem feature, calculating the number of samples required to be generated by the comprehensive experimental method; and selecting a target sampling algorithm from the sampling algorithm strategy set according to the sample number, and performing experiment arrangement according to the target sampling algorithm. According to the method, a proper sampling algorithm is adopted, an effective experiment design tool is provided, the number of times of simulation experiments can be effectively reduced, efficiency is improved, and analysis of simulation results is allowed to follow.

The invention discloses a material design method, device and equipment based on positive and negative interaction and a medium, and the method comprises the steps: collecting and sorting the formula process, structural characteristics, property indexes, performance expressions and other data of a material, training a positive prediction model through the data, and enabling the data to predict the property of the material according to the formula process parameters; a reverse optimization algorithm is introduced, possible formula process combinations are reversely deduced or generated according to target properties, the performance of the combinations is evaluated through a forward prediction model, and iterative optimization is performed until the target properties are achieved or a preset threshold value is met, so that the problem that a traditional experimental method needs to be subjected to multi-batch design, test inspection and repeated adjustment is solved; the technical problems of time and labor consumption, low efficiency, difficulty in quickly responding to market and application requirements, extremely high calculation cost for multi-factor strong correlation analysis, and difficulty in realizing quantitative, precise and high-efficiency optimization design in the prior art are solved.

The invention belongs to the technical field of mining similar simulation experiments, and particularly relates to a mining similar simulation experiment modular model laying method. The method mainly comprises the steps of designing a model structure and a module material, preparing a module material required by an experiment, assembling a similar simulation experiment stratum model, withdrawing a research area module to realize experiment simulation excavation, and optimizing module laying design according to an experiment result. According to the method, through standardized and modularized design, the limitation of a traditional experiment method is overcome, rapid building and flexible adjustment are achieved, the experiment efficiency and reliability are improved, and more effective experiment tools and technical supports are provided for research and application of mining engineering.

The invention relates to a microcosmic visual displacement experimental device and experimental method.The microcosmic visual displacement experimental device comprises a reaction kettle, the reaction kettle is connected with a reaction kettle support through a first rotation driving mechanism, a fixing mechanism is arranged in the reaction kettle and used for fixing a rock core clamping mechanism, and a rock core placing area is arranged in the rock core clamping mechanism; a feeding cavity and a discharging cavity are arranged on two sides of the rock core placing area, the feeding cavity is connected with a feeding mechanism, the discharging cavity is connected with a back pressure mechanism and a vacuumizing mechanism, the reaction kettle is further connected with a confining pressure mechanism, a first window is arranged at the top of the reaction kettle, a lighting element is arranged above the first window, and a second window is arranged at the bottom of the reaction kettle. A first prism is arranged below the second window and connected with a first prism support through a second rotation driving mechanism, a second prism support is arranged on one side of the first prism support and connected with a second prism through a third rotation driving mechanism, and a microscope is arranged below the second prism. The experimental result of the experimental device is more accurate.

The utility model discloses a device for measuring a surface tension coefficient and an air viscosity coefficient based on bubbles, and mainly solves the problems that the conventional device for measuring the surface tension coefficient and the air viscosity coefficient is mutually independent and the experiment cost is relatively high. The device comprises a buffer, a variable pressure intensity device connected with the buffer, a thin tube assembly, a bubble hole assembly, a barometer, a sealing piece connected with the thin tube assembly, a backlight source arranged on one side of the bubble hole assembly, imaging equipment arranged on the other side of the bubble hole assembly, and image data processing equipment connected with the imaging equipment. Through the design, two simple and independent experiments in the traditional sense are integrated into an experiment with rich content through the bubble which is an interesting bridge and a new experiment method generated by the bubble, the experimental device has reliable theoretical basis and teaching value, the teaching experiment method is expanded, and the experiment efficiency is improved. And students can be guided to carefully research fluid mechanics knowledge behind the bubble phenomenon.

A Hypothesis Generation and Testing System (HGTS) includes a framework for enabling artificial intelligence (AI) systems to autonomously formulate, test, refine, and store hypotheses using structured experimental workflows. HGTS may integrate with, but operates independently from, traditional databases, model repositories, context-aware AI databases and the like to provide a persistent, traceable, and interpretable record of hypothesis lifecycles. The system incorporates a probationary hypothesis database for unverified ideas, a validation engine for controlled experimentation, a confidence scoring and lifecycle management agentic subsystem for hypothesis evaluation, and recursive learning agents that iteratively refine models and experimental methods. Modular agents autonomously propose, test, and document hypotheses using statistical, symbolic, and deep learning techniques. The system ranks outcomes and retains full contextual metadata, enabling reproducible discovery. HGTS thereby provides a foundational mechanism for reproducible, interpretable, and self-directed intelligence, forming a cornerstone technology for artificial general intelligence (AGI).

The invention discloses a test method for hydraulic fracturing of rock in a true triaxial stress state, which is specifically implemented according to the following steps: step 1, processing a rock block into a rock sample, and carrying out trepanning treatment to form a sample model; 2, the sample model is placed on a true triaxial device, an X + pressure head, an X-pressure head, a Y + pressure head, a Y pressure head-, a Z + pressure head and a Z-pressure head of the true triaxial device are adjusted to be consistent in center, and the X + pressure head, the X-pressure head, the Y + pressure head, the Y pressure head-, the Z + pressure head and the Z-pressure head are connected with the water pressure applying pipe fitting; step 3, applying a load to the sample model, and controlling the true triaxial device to respectively apply a preload stage load, a second stage load and a third stage load in X, Y and Z directions by a servo motor; 4, the sample model exerts pulse circulating water pressure while maintaining third-stage load exerting; 5, unloading all loads and pressures of the sample model, and ending the test; the problem that the water pressure applying frequency and magnitude in hydraulic fracturing engineering in the prior art do not conform to the actual working condition of the well bottom is solved.

The invention provides a quantitative water-rock reaction experimental device and experimental method. By adopting the quantitative water-rock reaction experimental device provided by the invention and implementing the quantitative water-rock reaction experimental method provided by the invention, quantitative and qualitative simulation and real-time online monitoring, recording and storage can be carried out on the interreaction process from a deep stratum to surface stratum fluid and surrounding rock; effective means and methods are provided for exploring the deep carbonate reservoir formation mechanism and predicting the deep carbonate reservoir formation mechanism, and the method is suitable for application and popularization.

The invention discloses a test method for disturbing and inducing a lagging type rockburst phenomenon containing a cavern structure. The test method comprises the following steps: selecting homogeneous rocks and processing the homogeneous rocks into a cuboid sample; synchronously loading to an initial crustal stress state in three directions by using a three-direction six-surface loading true triaxial rock burst simulation test system; under the condition that the stresses in the two directions are kept unchanged, continuously increasing the stress in the vertical direction until the sample is damaged, recording the peak intensity, repeating for a plurality of times, and taking an average value as a reference basis for subsequent disturbance loading; on the basis of loading to a set initial stress state, applying a disturbance load with a preset amplitude and frequency, and simulating a hysteresis type rockburst evolution process under disturbance excitation; immediately and synchronously unloading the X-direction stress, the Y-direction stress and the Z-direction stress after rockburst occurs; acoustic emission signals and fracture image information are synchronously collected in the test process. By adopting the technical scheme of the invention, the dynamic response and damage evolution of the rock mass under complex boundary conditions and disturbance effects can be truly represented.

The invention provides a sleep disorder animal model device and an experiment method, the sleep disorder animal model device comprises an experiment box, the experiment box is internally provided with grid division boxes in grid distribution, and the sleep disorder animal model device integrates a liftable auxiliary box body, a cover plate mechanism capable of amplitude modulation and jittering and a sound, light, vibration and tactile stimulation module; complex stimulation close to insomnia inducements of real human beings can be applied in a staged and combined mode, the problem of strong stress caused by a traditional single stimulation model is effectively solved, and the clinical goodness of fit of an animal model is remarkably improved. Meanwhile, based on intelligent management of a central control system, real-time non-invasive monitoring of animal behaviors and sleep states is achieved by fusing camera visual analysis, pressure sensing and wireless physiological telemetry technologies, execution units are automatically and accurately regulated according to the real-time non-invasive monitoring, standardization and repeatability of the experimental process are ensured, and the experimental efficiency is improved. And the construction efficiency and the evaluation reliability of the sleep disorder animal model are improved.

The invention relates to the technical field of software testing, and discloses an AB experiment method, device, system and equipment, a storage medium and a product. According to the scheme, the AB experiment rule can be obtained based on the current call application program, the AB experiment rule comprises the shunting rule and the experiment configuration, the communication connection with the interaction object is established, shunting is carried out based on the shunting rule, the shunting result is obtained, and the experiment data is reported according to the experiment configuration and the shunting result after the communication is finished, so that the AB experiment is completed. According to the scheme provided by the embodiment of the invention, the AB experiment rule can be issued to the client in advance, the AB experiment rule is executed on site when the service meets the condition, the shunting result is quickly obtained, the AB experiment shunting efficiency and the subsequent experiment accuracy are remarkably improved, in addition, the shunting rule needing to be used does not need to be supported by an experiment platform and only needs to be supported by the client, and the workload of the client is reduced. And the method also has better expansibility.

The present invention discloses an experimental method for monitoring and quantifying the acoustic behavioral responses of fish, comprising: an experimental system, which includes: a circulating water tank for placing a fish school; a 3D optical sensor for obtaining a set of spatial coordinates of the fish school; a plurality of first acoustic wave transmitters for simulating an underwater dynamic acoustic environment; and a plurality of second acoustic wave transmitters for directionally transmitting acoustic waves, the directivity of which is controlled by the set of spatial coordinates of the fish school. The experimental system of the present invention integrates an acoustic stimulation emission system, a circulating water temporary culture system, and a fish behavior recording system, providing an efficient, accurate, and comprehensive means for studying the acoustic stimulation behavior of fish. It is used to monitor, evaluate, and quantify the three-dimensional behavioral responses of experimental fish schools under scenario acoustic stimulations of different intensities and types in conditions simulating natural aquaculture sea conditions, and to characterize their kinematic parameters. When no experiment is being carried out, the experimental fish can also be stably temporarily cultured in the experimental system to achieve stable and real-time regulation of water quality.

The invention provides a method for predicting formation of a high-entropy alloy phase structure by adopting a machine learning method, which comprises the following steps of: S1, screening data from a plurality of papers subjected to peer review, and constructing a database with a powerful data set; s2, for the alloy in the database, calculating characteristic parameters by adopting a specific calculation formula; s3, screening out a feature set with the best performance by adopting feature screening; and S4, selecting different machine learning classification models for training. Compared with a traditional experimental method and molecular dynamics simulation, the method for predicting the formation of the high-entropy alloy phase structure by adopting the machine learning method provided by the invention has the advantages that the machine learning technology is more efficient and accurate in predicting the performance of the high-entropy alloy, so that a large amount of experimental time and cost can be saved; and the performance data of the alloy can be more accurately obtained, so that the research and development progress of the material is accelerated.

The invention provides an online model updating hybrid test method based on a dual adaptive UKF algorithm, and the method comprises the steps: carrying out the initialization of a to-be-recognized constitutive model parameter, determining a parameter initial value seismic oscillation according to a genetic algorithm, inputting the seismic oscillation into a step-by-step integration algorithm, and obtaining the displacement response dk of an overall structure; obtaining the boundary displacement of the test substructure based on the displacement response dk and the constitutive model parameter estimation value of the previous step, carrying out real loading according to the boundary displacement, obtaining the real counterforce and real displacement of the test substructure, and carrying out parameter estimation based on a dual adaptive UKF algorithm; and obtaining a new constitutive model parameter value according to the new constitutive model parameter value and the displacement response dk of the overall structure, obtaining the counter-force Rk of the overall structure on each dynamic degree of freedom, realizing online identification and model updating of the constitutive model parameter, and performing loop iteration to the process of ending the test, thereby improving the precision and stability of parameter identification, and improving the test efficiency. The problem that the loading boundary of the test substructure is inaccurate is effectively solved.

This invention belongs to the field of reactor structural mechanics technology, specifically relating to a method for analyzing and evaluating high-temperature bolted connection sealing structures. The invention includes the following steps: selecting the location of the reactor pressure vessel flange and main bolt connection as the object of sealing structure analysis; analyzing and summarizing the influence of gasket data on the deformation and contact surface pressure of various components of the flange bolted connection structure; researching current standards and analyzing their limitations; using the finite element software ANSYS to perform finite element modeling of the reactor pressure vessel flange and main bolt structure; applying loads and constraints to the finite element model of the reactor pressure vessel flange and main bolt structure; calculating the deformation and stress of the structure using different creep and relaxation models; analyzing the relaxation behavior of the high-temperature flange bolted connection structure using experimental methods; and comparing and analyzing the results of the finite element method, the standard method, and the experimental method. This invention enables the analysis and evaluation of the sealing performance of flange bolted connection structures under high-temperature environments.

The present invention discloses a method for anti-explosion experiment of castables, belonging to the technical field of refractory material testing. It includes an experimental chamber, a hatch door and several pipelines, and also includes a limiting mechanism, a pressing mechanism, a pressurizing mechanism and an adjusting mechanism. The hatch door is installed on the side wall of the experimental chamber, the limiting mechanism is hinged on the inner wall of the experimental chamber, the pressing mechanism is installed on the inner top of the experimental chamber, and a detachable heating rod is provided at the bottom of the pressing mechanism. The pressurizing mechanism is installed on the top of the experimental chamber and the pressurizing mechanism is connected to the pressing mechanism through a pipeline. The adjusting mechanism is installed at the bottom of the pressing mechanism and is located at the bottom end where the pressurizing mechanism is connected to the pressing mechanism. The present invention provides an anti-explosion experiment system and its experimental method for castables used in waste incineration, to conduct experiments on the anti-explosion performance of castables. First, it experiments whether the castables will burst when heated, and secondly, it experiments on the internal air pressure when the castables burst, so as to mark the maximum pressure range inside the castables.

The jellyfish repelling experiment system comprises a plurality of groups of water tanks, each group of water tanks is divided into a chemical adding area, a jellyfish placing area and a contrast area, a substance to be detected is added into each group of chemical adding area, jellyfishes with the same number are placed into each group of jellyfish placing area, and no jellyfishes are added into each group of contrast area; recording jellyfish distribution of each area in the water tank within a set time N minutes after the camera corresponding to each group of water tanks takes out the partition plate after the chemical is added and diffused for a certain time; the controller selects the recorded images at the nth minute from each group of recorded images and marks whether the jellyfish loses activity or not, the marked images at the nth minute in each group are combined to obtain N puzzles, n is 1-N in sequence, the number proportion of the jellyfish losing activity in each puzzle is calculated, the average value is calculated as a first average value, and the first average value is used as a second average value; calculating the jellyfish distribution rate in the medicine adding area in each puzzle, calculating the mean value of the jellyfish distribution rate as a second mean value, and according to the first mean value and the second mean value, determining whether the to-be-detected substance has the repelling effect and the strength of the repelling effect.

The present invention relates to a loading device for static and dynamic tunnel testing and an experimental method thereof, and particularly to the field of rock dynamics experimental technology. The present invention comprises a test bench, a slide rail, a side pressure mechanism, a front axial constraint mechanism, a back support mechanism, and an upper unidirectional loading mechanism. The device has a simple and efficient structure and a fast test process. It also simplifies the currently common large-scale confining pressure equipment that is large in size, complex in structure, and expensive. In addition, the device has a unique advantage: before the drop hammer impact test, the device can be placed on a pressure testing machine to pressurize the sample to a specified pressure to simulate the actual stress conditions of deep rock, and then moved to the drop hammer test bench to carry out the impact test. The sample's destruction process can also be observed, providing a new approach to solving existing technical problems.

The invention relates to the technical field of nonmetal pipeline performance detection, in particular to a multifunctional experimental device and method for nonmetal pipeline detection, and the method comprises the steps that a tensile stress test platform heats an experimental environment temperature to a set temperature, and a first to-be-detected nonmetal pipe section is stretched to be fractured; the composite test end obtains a tensile property curve of the nonmetal pipeline according to the real-time traction force value returned by the tensile stress test platform; the internal pressure test platform heats the experimental environment temperature to a set temperature, and inflates the second to-be-tested non-metal pipe section until bursting; and the composite test control end obtains an internal pressure resistance curve of the non-metal pipeline according to the real-time internal pressure value returned by the internal pressure test platform. According to the device and the method, a traction performance test and an internal pressure performance test can be simultaneously performed on the non-metal pipeline at different experimental temperatures, so that a tensile resistance performance curve and an internal pressure resistance performance curve of the non-metal pipeline are obtained, and the comprehensive performance detection efficiency of the non-metal pipeline is improved.

The invention discloses a simulation drilling experiment device and an experiment method, and relates to the technical field of drilling exploration, the simulation drilling experiment device comprises a support module, a containing module, a heating module, a pressure module, a detection module and a simulation module, an experiment cavity of the containing module is used for setting a rock sample; the pressure module can apply pressure to the rock sample; the output end of the simulation module can move in the vertical direction and can also rotate around a vertical axis and drive a drilling tool to rotate. The heating module comprises an oil liquid pipeline, a power source and a heating assembly, the heating assembly is connected with the oil liquid pipeline and can heat oil liquid in the oil liquid pipeline, the power source can suck the oil liquid in the experiment cavity from the oil suction port, and the oil liquid flows through the oil liquid pipeline and then is discharged to the experiment cavity from the oil conveying port; the detection module can detect the stress and strain of the rock sample. According to the drilling simulation experiment device and the experiment method, the authenticity of simulation data can be improved, and the rock sample can be uniformly heated.

The invention relates to a transcranial cell stimulation experiment model, which is characterized in that a support structure is used for supporting a skull model, the upper end of the support structure enters the skull model, a placement platform fixed on the support structure is arranged in the skull model, a cell culture dish is placed on the placement platform, two sides of the skull model are respectively provided with a stimulation coil which is obliquely distributed, and the stimulation coils are arranged on the skull model. The power supply unit is used for rapidly discharging to the two stimulation coils so as to induce generation of transient strong pulse current in the stimulation coils, and a 1T-4T strong magnetic field is formed around the stimulation coils. A transcranial cell stimulation experiment method comprises the following steps: firstly, pretreating SH-SY5Y cells, and then putting the pretreated SH-SY5Y cells into a cell culture dish; specific current waveforms are transmitted to the two stimulation coils, and the SH-SY5Y cells are stimulated through a generated electromagnetic field. The method has the beneficial effects that experimental simulation and experimental verification are realized, the understanding of a non-invasive brain stimulation technology is enriched, and a new scientific basis is provided for the treatment of related neurological and mental diseases.