103 results about "Viscosity coefficient" patented technology

The invention discloses a ramjet numerical simulation method, device and equipment and a storage medium, and relates to the technical field of aerodynamics, and the method comprises the steps: determining a dimensionless temperature corresponding to a gas component of an initial flow field; based on the dimensionless temperature, determining a molecular viscosity collision integral function of the gas component in a polynomial fraction fitting mode; determining the viscosity coefficient of the gas component according to the molecular viscosity collision integral function; and generating a computational grid of the ramjet based on the viscosity coefficient so as to perform numerical simulation operation on the ramjet. Therefore, in the numerical simulation process of the ramjet, the polynomial fraction is adopted to fit the viscosity collision integral function, the calculation time of the gas viscosity coefficient can be effectively shortened, and the calculation precision is kept to meet the use requirement; in addition, the method can adapt to the combustion flow field temperature requirement and the component requirement of the ramjet engine, and the numerical simulation efficiency of the ramjet engine can be improved.

The invention discloses a dynamic turbulence measurement method. A hot-wire anemometer with two hot-wire probes is adopted to measure the wind speed of two points in a space; then setting the sampling frequency fc of the hot-wire anemometer, and counting the average time ts and the space length r; obtaining voltage data output by the hot-wire anemometer, judging whether the voltage data is normal or not, and removing abnormal data; corrected correction voltage data is obtained; calculating the wind speed u according to the corrected voltage data; determining a time interval td according to a preset sampling frequency fc, calculating a speed structure constant # imgabs0 # by combining the wind speeds measured by the two hot-wire probes, and calculating second-order and third-order turbulence dissipation rates; and calculating the kinematic viscosity coefficient v2 at the in-situ measurement position, the internal scale 10 of the atmospheric turbulence and the turbulence I in sequence. The dynamic turbulence measuring method overcomes the defects that a temperature pulsation instrument cannot measure dynamic turbulence and an ultrasonic anemometer platform is poor in applicability, and has the advantages of being easy and convenient to operate, suitable for being carried on a sounding balloon for high-altitude turbulence measurement in a severe environment and the like.

The invention discloses an efficient and high-precision numerical simulation method for an air cooling field of a diesel engine. The method comprises the following steps: (1) based on a porous medium model theory, using a defined porous medium model to replace an internal structure of an original radiator to establish a three-dimensional radiator simplified model containing a porous medium area; (2) according to the dimensionless similarity of speed distribution of a fan rotational flow main body section, the dissipation rate generation and diffusion term coefficient of a turbulent energy dissipation equation in a standard k-epsilon turbulence model are adjusted, (3) the standard k-epsilon turbulence model is adopted for a forced convection dominant area, the k-epsilon turbulence model corrected by the turbulent flow viscosity coefficient is adopted for a natural convection dominant area, and the turbulent flow viscosity coefficient of the natural convection dominant area is corrected. In order to guarantee smooth and stable transition of turbulence viscosity, a k-epsilon turbulence model corrected by turbulence viscosity coefficient linear interpolation is adopted for a transition area of forced convection and natural convection; and (4) a diesel engine air cooling field numerical simulation technology based on partition processing is adopted. According to the method, high-precision numerical simulation on the basis of a small number of grids is realized.

The invention relates to the technical field of fluid dynamics, in particular to a lattice-Boltzmann method-based thin particle flow two-way coupling modeling method, which comprises the following steps of: performing field domain discretization by selecting spatial resolution, performing collision migration and viscosity coefficient setting, establishing a time step sequence and a fluid initial speed, determining a speed disturbance parameter, and establishing a two-way coupling model; calculating particle volume fraction and density distribution to obtain a speed distribution function set. According to the method, the spatial resolution is selected for field domain discretization, so that flow field division is more refined, the motion resolution of particles in different regions is enhanced, and the numerical error of the particles in a local region is reduced. And through collision migration and viscosity coefficient setting, it is ensured that the particles are evenly stressed in different flowing states, and the stability of the particle motion trail is improved. A time step sequence and a fluid initial speed are established, so that the time advancing process of particle movement is kept consistent, and speed deviation caused by mismatching of time steps is reduced.

The invention discloses a grid-adaptive sub-mesoscale hybrid parameterization method and system, and the method comprises the steps: calculating an effective resolution and a frontal scale according to the spatial resolution of an ocean model, carrying out the calibration of a horizontal buoyancy gradient, and calculating an air-sea interface buoyancy flux and a horizontal Akkerman buoyancy flux according to the calibrated horizontal buoyancy gradient; and calculating to obtain expressions of the convective mixing effect and the sub-mesoscale mixing effect, and a vortex viscosity coefficient and a vortex diffusion coefficient of the sub-mesoscale mixing effect. According to the method, the problem that an existing parameterization scheme cannot be applied to a coarse-resolution ocean model at present is solved, and the effect of introducing sub-mesoscale mixing into ocean models with different resolutions is achieved.

The invention discloses an anisotropic turbulence model modeling method based on turbulence pulsation speed and dissipation rate. The method comprises the following steps: establishing a pulsation speed transport equation; the turbulent flow kinetic energy equation and the turbulent flow dissipation rate equation are solved, and the numerical value of the turbulent flow dissipation rate in the flow field is obtained; solving the transportation equation of the pulsation speed to obtain the turbulence pulsation speed; constructing a viscosity coefficient of the turbulent flow according to the obtained turbulent flow dissipation rate and the turbulent flow pulsation speed; calculating each stress item of the turbulent flow by using the constructed turbulent flow viscosity coefficient; and substituting the obtained turbulence stress item into an average flow equation and a turbulence pulsation speed equation of turbulence to obtain the anisotropic turbulence model. According to the anisotropic turbulence model equation established by the invention, the numerical calculation precision of the turbulence boundary layer is improved, and the established anisotropic turbulence model equation only contains a unique artificial parameter, so that the experimental error caused by human factors can be greatly reduced, the result is more accurate, and the data is more persuasive.

This invention relates to the field of fluid dynamics analysis technology, specifically to a wave impact boundary force simulation and analysis method based on SPH (Self-Proofing and Propagation). The invention obtains a divergence index based on the energy accumulation efficiency of each wave from initiation to breakup, the spatiotemporal distribution characteristics of energy release during breakup, and the wave height. All waves are divided into different clusters. The critical time step is adjusted according to the dispersion and divergence index of waves within each cluster to obtain an optimized critical duration. The interference-sensitive zone of each wave is identified, and the modal coupling coefficient is obtained based on the correlation strength and energy distribution of the pressure signal in the time-frequency domain within the interference-sensitive zone. The baseline artificial viscosity coefficient is adjusted based on the optimized critical duration and modal coupling coefficient to obtain an optimized artificial viscosity coefficient. The SPH algorithm is then used for wave impact boundary force simulation and analysis. This invention effectively improves the balance between accuracy and efficiency in multi-scale wave impact boundary force simulation.

The invention relates to the technical field of fluid mechanics analysis, in particular to a wave impact boundary force simulation analysis method based on SPH. According to the method, a divergence index is obtained according to the energy accumulation efficiency of each wave in the process from rolling to crushing, the spatial and temporal distribution characteristics of energy release during crushing and a wave height value; dividing all waves into different clusters; the critical time step length is adjusted according to the dispersion degree and divergence index of the waves in the clustering cluster where each wave is located, and the optimized critical time length is obtained; obtaining an interference sensitive area of each wave, and obtaining a modal coupling coefficient according to the correlation intensity and energy distribution of a pressure signal of the interference sensitive area in a time-frequency domain; and according to the optimized critical duration and the modal coupling coefficient, adjusting the reference artificial viscosity coefficient to obtain an optimized artificial viscosity coefficient, and performing wave impact boundary force simulation analysis by using an SPH algorithm. According to the method, the contradiction between the precision and efficiency of multi-scale wave impact boundary force simulation is effectively improved.

The invention provides a double-speed electric actuating mechanism control system, which relates to the field of electric actuating mechanisms, and comprises a control unit, and the control unit comprises an environment variable conversion module for converting temperature and pressure parameters into an effective viscosity coefficient and a sealing loss factor; the composite wear detection unit calculates a valve wear coefficient in real time; the PID parameter setting module adaptively sets PID control parameters in real time according to the parameters through a feed-forward neural network, and physical constraints and oscillation penalty terms are added; the safety switching module monitors the model output confidence coefficient, the environment variable abrupt change rate and the prediction residual error in real time, and automatically switches to safety parameters when abnormity occurs; the double-speed execution module dynamically adjusts a high-speed continuous driving mode and a low-speed pulse driving mode according to the valve position error; the response speed, stability and control precision of valve control are remarkably improved, and the method is suitable for precise flow control under complex and variable working conditions.

The invention discloses a method for calculating broadband consistent damping force in time-domain dynamic analysis, which comprises the following steps of: constructing a finite element model of a hydroelectric plant, endowing the model with material attributes, and then obtaining an initial stiffness matrix of the hydroelectric plant by adopting a finite element method; idealizing the finite element model as a main spring, and connecting a plurality of combined elements consisting of sticky kettles and springs in parallel to form an idealized model; according to the initial stiffness matrix, the dynamic stiffness model of the combined element and a damping ratio in time domain dynamic analysis, calculating a stiffness coefficient of each combined element by adopting a least square method; when the dominant frequency of the combined element is uniformly distributed in the broadband range, calculating the viscosity coefficient of the combined element according to the dominant frequency of the combined element and the target damping ratio; and according to the rigidity coefficient and the viscosity coefficient, a time domain damping force model is adopted to calculate the consistent damping force of the hydroelectric plant in the broadband range.

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.

The invention relates to the technical field of landform prediction, in particular to a tidal flat evolution prediction method and system based on a landform model. Comprising the following steps: acquiring landform data, environmental parameter data and biological membrane characteristic data of a target tidal flat area; the landform data comprises water depth distribution and sediment porosity; the environmental parameter data comprises tidal flow velocity, fluid shear force, illumination intensity and water body temperature; the biological membrane characteristic data comprises biological membrane thickness obtained by in-situ sampling; constructing a dynamic viscosity coefficient model of the biological membrane based on the thickness of the biological membrane and the temperature of the water body; the dynamic viscosity coefficient model represents a nonlinear enhancement effect of the biological membrane on the viscosity of the sediment; establishing a biofilm growth rate feedback model based on the water depth distribution and the illumination intensity; the feedback model quantifies the coupling relationship between the biofilm growth of the sedimentation area and the microtopographic factor; according to the method, the problem of evolution prediction misalignment under the dynamic interaction of the environmental factors can be solved.

The invention constructs a fracture conductivity evaluation method considering shale hydration. The method mainly comprises the following steps: 1, carrying out a triaxial hydration creep mechanics experiment, establishing an elastic-viscoelastic-viscous plastic multi-stage creep constitutive equation based on triaxial experiment data, and analyzing shale elastic and viscous deformation mechanisms; 2, secondly, constructing a shale creep constitutive model by stages according to a stress threshold value, describing a viscoelastic stage by adopting an improved Burgers model, and establishing a viscoplastic strain equation based on an overstress theory; 3, coupling hydration action parameters to correct a shale creep equation, and quantifying the influence of hydration on rock modulus, viscosity coefficient and yield stress; 4, the creep strain and the crack dynamic width are correlated through a mathematical model, and a multi-field coupling relation is established in combination with a permeability evolution rule; and 5, finally constructing a fracture conductivity prediction model when the hydration effect is considered, and realizing fracture conductivity dynamic analysis under the hydration-creep synergistic effect. According to the method, the shale hydration-creep coupling effect is creatively fused into fracture conductivity prediction, and a quantitative tool is provided for shale reservoir long-term productivity evaluation.

The invention relates to the technical field of geotechnical engineering, in particular to a rock mass viscosity inversion method and device based on sound wave detection, and the method comprises the steps: obtaining sound wave detection data of engineering exploration, and obtaining the elevation distribution rule of rock mass sound waves according to the sound wave detection data; constructing a rock mass viscosity inversion equation set according to the elevation distribution rule of the rock mass sound waves, and solving the rock mass viscosity inversion equation set to invert rock mass viscosity parameters; and determining a distribution rule of the rock mass viscosity along the elevation based on the rock mass viscosity parameter so as to determine a rock mass comprehensive viscosity coefficient of the rock mass in the target range. Therefore, the problems that the viscosity data of the rock mass cannot be obtained before field construction and the viscosity of the rock mass in the whole construction area cannot be reflected due to the fact that a rock mass viscosity testing method in the related technology needs to be combined with field production and reflects the viscosity characteristics of the rock mass in a certain fixed range are solved.

The invention provides a variable reluctance motor temperature distribution prediction method and prediction system. The method comprises the following steps: dividing and modeling network nodes based on the structure and network precision requirements of a variable reluctance motor; calculating conduction thermal resistance and thermal capacity according to geometric parameters and material parameters of the motor; calculating air gap convection thermal resistance according to the motor working condition and the air gap viscosity coefficient; considering the relative position relationship between the armature winding and the excitation winding and establishing a complete variable reluctance motor thermal network model; calculating iron loss and copper loss by using an empirical formula based on state variables of actual operation of the motor, and taking the iron loss and the copper loss as input sources of the variable reluctance motor thermal network model; and iteratively solving the thermal network model of the variable reluctance motor by using a thermal transient equation to obtain predicted temperature distribution of the variable reluctance motor. The invention provides a complete modeling and prediction method suitable for temperature distribution of the variable reluctance motor, the calculation efficiency and precision are both considered, and powerful support is provided for multi-physics field joint optimization.

The present application relates to the technical field of geomorphology prediction, in particular to a tidal flat evolution prediction method and system based on a geomorphology model. The method comprises the following steps: obtaining geomorphology data, environmental parameter data and biological membrane characteristic data of a target tidal flat area; the geomorphology data comprises water depth distribution and sediment porosity; the environmental parameter data comprises tidal current velocity, fluid shear force, light intensity and water temperature; the biological membrane characteristic data comprises biological membrane thickness obtained by in-situ sampling; a biological membrane dynamic viscosity coefficient model is constructed based on the biological membrane thickness and the water temperature; the dynamic viscosity coefficient model represents a nonlinear enhancement effect of the biological membrane on sediment viscosity; a biological membrane growth rate feedback model is established based on the water depth distribution and the light intensity; the feedback model quantifies the coupling relationship between biological membrane growth in a deposition area and microtopographic factors; the present application can solve the problem of inaccurate evolution prediction under dynamic interaction of environmental factors.

The invention relates to the technical field of college physics experiment devices, and discloses a liquid sound velocity and viscosity coefficient measurement comprehensive experiment instrument, which comprises a test bed, a cylindrical container, a timing automatic release device, an ultrahigh frequency ultrasonic transmitting and receiving integrated probe, an ultrasonic reflection circular plate, a reflection circular plate height control rod and a host, the timed automatic release device further comprises a small ball container, a falling ball funnel and a timed pusher; an ultrahigh-frequency ultrasonic transceiving integrated probe is mounted in the center of the inner bottom surface of the cylindrical container; the reflection circular plate height control rod can vertically penetrate through the ball falling funnel and is detachably connected with the ultrasonic reflection circular plate at the lower side rod end of the control rod. According to the invention, not only can the propagation velocity of ultrasonic waves in liquid be measured by using a reflection method, but also the viscosity coefficient of the liquid can be measured by using a falling ball method, and compared with an original instrument adopting a photoelectric door timing method, the operation is simpler and more convenient, and the experiment success rate is greatly improved.

This invention provides a method for detecting the spinnability and uniformity of spandex spinning dope. The method involves performing steady-state and dynamic tests on the spandex spinning dope to obtain its non-Newtonian index, viscosity coefficient, yield stress, maximum stress in the linear viscoelastic region, and maximum strain. Analysis of these test results yields a determination of whether the spandex spinning dope possesses excellent spinnability and uniformity. This method offers the advantages of rapid detection and accurate results. Spandex spinning dopes that pass this method exhibit minimal gelation during storage and excellent fluidity. During spinning, they show minimal yarn breakage and snagging, and a low probability of malfunctions, demonstrating excellent spinnability and uniformity.

The present invention discloses a method for numerically calculating NOx pollutants that considers the effects of combustion temperature fluctuations. The method defines a resolution control function; calculates the filter scale coefficient in the resolution control function based on the Smagorinsky subgrid stress model, and calculates the resolution control function size; adaptively controls the smooth switching between the unsteady RANS mode, the LES mode, and the DNS mode during the calculation process through the resolution function; remodels the model turbulent viscosity coefficient based on the resolution function; constructs a partially premixed FGM laminar flow thermodynamic table based on the characteristic variables mixture fraction and reaction progress variable to calculate flow field information; and solves the NOx transport equation and defines a temperature fluctuation coefficient to correct the NOx generation amount to calculate NOx generation. The present invention can accurately predict the NOx generation distribution during the combustion process in a combustion chamber at a relatively low grid resolution.

The present application discloses a method and device for calculating the physical property parameters of hydraulic oil, which are applied to the field of data processing. The method includes: obtaining parameters such as the kinematic viscosity of the hydraulic oil at a first temperature, the kinematic viscosity of the hydraulic oil at a second temperature, the operating temperature, the fluid pressure, the dynamic viscosity coefficient, parameters related to the bulk elastic modulus of the oil, the air polytropic constant, the reference atmospheric pressure, the density, the gas volume fraction, the bulk elastic modulus of the oil, and the like, and calculating and determining the physical property parameters of the hydraulic pump using these parameters. Thus, by taking into account the effects of temperature and pressure on the parameter values, the physical property parameters of the hydraulic pump calculated using these parameters have a smaller error than the actual results, resulting in a more accurate result. This reduces the error between the physical property parameter results of the hydraulic pump and the actual physical property parameter results, and improves the accuracy of the physical property parameter determination results.

The invention provides a turbulent flow space statistical magnitude measuring method, which comprises the following steps of: acquiring a sampling signal for laser Doppler velocity measurement, processing, setting filtering and pre-signal amplification coefficient parameters, carrying out data enveloping and modulation, checking a calculation result, filtering again if the calculation result is unqualified after the calculation result is checked, and if the calculation result is not qualified after the calculation result is checked, judging whether the calculation result is qualified or not. If the inspection is qualified, outputting a result; determining a laser Doppler measurement volume diameter corresponding to the low-intensity steady turbulence by applying a Taylor freezing hypothesis, and performing Fourier transform by adopting a time slot auto-covariance method to draw a turbulence space kinetic energy spectrum density curve; second-order and third-order structure function curves of a turbulent space are drawn based on a convection recording method and a time slot auto-covariance method to be verified respectively, a turbulent average dissipation value is calculated according to the initial slope of a third-order structure function of the turbulent space, and then the dissipation scale is calculated according to the energy dissipation rate of fluid and the kinematic viscosity coefficient of the fluid. According to the measurement method, the measurement precision of the turbulence space is improved.

The utility model discloses a viscosity coefficient measuring device which comprises a mounting plate, a measuring assembly is arranged on the mounting plate, and the measuring assembly comprises a graduated scale, a calibration scale and a measuring pipeline. A plurality of fixing nails are arranged on the graduated scale, and the plurality of fixing nails penetrate through the graduated scale at equal intervals and are connected with the mounting plate; the calibration ruler is arranged on the inner side of the graduated scale; the measuring pipeline comprises a drain pipe, a connecting pipe, a glass pipe and a capillary pipe; one end of the drain pipe is in contact with the graduated scale and the calibration scale; the other end of the drain pipe is connected with the connecting pipe, the connecting pipe is connected with the glass pipe, and the capillary pipe is arranged at the end of the glass pipe. According to the device disclosed by the utility model, the fixing nails are arranged at equal intervals, so that the device can adjust the height of the drain pipe, and the measurement result of the viscosity coefficient is verified by changing experimental parameters; and the accuracy of measurement results is improved.

The application provides a blood viscosity detection method, device and equipment. The blood viscosity detection method comprises the following steps: inputting a replacement fluid to a vein pipeline through a hard pipeline at a first flow rate, and determining a first inlet and outlet pressure difference of the hard pipeline; determining the viscosity of the replacement fluid according to the pipeline attribute of the hard pipeline, the first flow rate and the first inlet and outlet pressure difference; if the difference between the viscosity of the replacement fluid and the viscosity of water is within a first preset range, then determining a viscosity coefficient according to the viscosity of water, the first flow rate and the first inlet and outlet pressure difference; performing dialysis on blood, and determining the second flow rate of the blood in the hard pipeline after dialysis and the second inlet and outlet pressure difference of the hard pipeline in real time; and determining the real-time viscosity of the blood during dialysis according to the viscosity coefficient, the second flow rate and the second inlet and outlet pressure difference. The application solves the problem that the blood viscosity cannot be detected during hemodialysis treatment in the prior art.

The invention relates to a numerical simulation method of a non-standard tube bundle condenser, which comprises the following steps of: establishing a two-dimensional model of a tube bundle area section of the non-standard tube bundle condenser, and determining a porous area of the two-dimensional model based on a tube bundle arrangement position of the tube bundle area section of the non-standard tube bundle condenser, performing grid division on a porous area of the two-dimensional model; and setting a calculation boundary condition based on the working condition of the tube bundle area section of the non-standard arrangement tube bundle condenser. According to the numerical simulation method and system for the non-standard tube bundle condenser, the condensation rate and the distribution resistance of each sub-region can be dynamically calculated by compiling the self-defined function and combining state data such as the mixture temperature, the dynamic viscosity coefficient and the density, the actual physical process of the tube bundle region can be reflected more accurately, and the calculation accuracy is improved. The limitation that a traditional porous medium model is only suitable for uniform tube bundle arrangement is overcome, and the simulation precision of complex tube bundle arrangement is remarkably improved.

The application discloses a viscoelasticity parameter inversion method, and belongs to the field of medical image processing and computational imaging. The method obtains the time-space image sequence data of the measured soft tissue after excitation, extracts the shear wave group velocity by using the time-of-flight method, and equivalently takes the shear wave group velocity as the phase velocity anchor point under the zero-frequency limit condition to determine the static shear modulus; the two-dimensional fast Fourier transform is used to extract the middle-high frequency band phase velocity dispersion curve; the rheological model of the measured soft tissue is constrained based on the static shear modulus, and the single-parameter fitting of the viscosity coefficient is combined with the middle-high frequency band phase velocity dispersion curve to obtain the viscoelasticity parameter.

The invention discloses a hand clamping detection method and device based on a vehicle-mounted ceiling screen load model and a storage medium, and the method specifically comprises the following steps: observing a damping friction force and a viscosity coefficient in real time based on the ceiling screen load model, and updating and storing an observed value in real time; on the basis of a ceiling screen load model and the friction force and the viscosity coefficient calibrated in the previous step, the disturbance torque is observed in real time, an observed value is updated in real time, the real-time disturbance torque is synchronously obtained, the real-time disturbance torque is compared with a hand clamping protection threshold value, and hand clamping protection or closing operation is conducted; according to the detection method, a factory calibration process is not needed, so that the stability of hand clamping judgment is ensured, and the risks of hand clamping and mistaken touch are reduced; an external sensor does not need to be additionally arranged, so that the cost is reduced, and the universality of use scenes is improved; in addition, damping is calibrated in real time, and hand clamping logic judgment is more accurate and safer under the conditions of factory damping inconsistency, damping force attenuation, external environment temperature change and the like.

The present invention relates to a force feedback force simulation method, and in particular to a puncture force simulation method based on force feedback, comprising: step S1, configuring a virtual model tissue to be a two-layer structure comprising an epidermis and a dermis; step S2, determining the distance between an initial reset point and a first-layer needle insertion point, and configuring a limiting force in the model tissue; step S3, configuring tissue layer puncture parameters, the parameters including the thickness of a breakthrough zone and the thickness of an effect zone, the maximum forward penetration force, the maximum reverse withdrawal force, the forward damping coefficient, the reverse damping coefficient, the upward rotation angle, the downward rotation angle, the viscosity coefficient, and the friction coefficient; and step S4, advancing the device in any direction from the initial point until the device contacts the first-layer puncture point. The present invention can simulate the force sense of puncture displacement at any angle, and by defining and configuring the simulated breakthrough zone and the effect zone, it is fully realized in three-dimensional space without the need for a dimensionality reduction mapping space.

The present application relates to a simulation method for simulating a liquid viscosity coefficient measurement experiment using a falling ball method based on Matlab GUI. The method, which is developed based on Matlab GUI, can truly simulate the experimental process of measuring the liquid viscosity coefficient using the falling ball method. The starting point exploration module for uniformly falling balls of different diameters can determine the starting time, starting position and starting speed (average speed in the uniform motion interval) of the ball entering a uniform falling state under the action system of three forces: gravity, viscous resistance and buoyancy. The simulation process is accurate, and students can intuitively see the entire dynamic demonstration process of the ball falling. At the same time, the temperature of the liquid and the diameter of the container in which the liquid is placed can be adjusted to explore the changing rules of the experimental results, deepen students' understanding of the experimental content, avoid errors caused by students' independent observation, and allow students to broaden their horizons and expand their knowledge.

An electronic system is provided, including a memory, a coating path planning processor, and a spraying apparatus. The spraying apparatus sequentially coats adhesive onto a surface. The coating path planning processor receives a mode selection signal and a first adhesive weight, coating height, coating order, viscosity coefficient, and surface tension coefficient from the memory. Based on the mode selection signal and the coating order, a path length is calculated starting from at least one of at least three nodes. A second adhesive weight is calculated based on the coating height, coating order, viscosity coefficient, surface tension coefficient, and path length. When the second adhesive weight is not equal to the first adhesive weight, the coating order is adjusted. When the second adhesive weight equals the first adhesive weight, a planning result representing the end of path planning is generated, and a sequence is generated based on the planning result and an optimization judgment signal.

The invention relates to a turbulence model optimization method based on gene expression programming, which comprises the following steps: selecting a numerical simulation method in a CFD solver, and calculating vortex viscosity coefficient distribution; obtaining flow field characteristic variables through an RANS turbulence model; inputting a GEP algorithm by taking a vortex viscosity coefficient as a training truth value and a flow field characteristic variable as an input characteristic, carrying out GEP algorithm training work, and generating an initial population by combining three means of chaotic sequence generation, a gene pool predefined structure and random generation; changing individual crossover and mutation probability in real time to obtain a correction formula of the vortex viscosity coefficient; all coefficients in the vortex viscosity coefficient correction formula are optimized to obtain a vortex viscosity coefficient final expression, and the vortex viscosity coefficient final expression is loaded into a CFD solver; in the loaded CFD solver, calculation is carried out through an RANS turbulence model, and needed flow field information is obtained. The method has the capability of giving an explicit model equation, and the calculation precision of the RANS turbulence model is improved.