51 results about "Viscosity coefficient" patented technology

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.

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 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 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 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 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.

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.

The invention discloses a construction cold seam seepage state detection method and system, and relates to the technical field of construction engineering management. A construction cold seam seepage state detection system comprises a data acquisition module, a data analysis module, a coefficient correction module, a state prediction module and a comprehensive evaluation module. According to the method, the ideal permeability coefficient is corrected according to the environmental data of the position of the cold seam, and the permeability coefficient can be corrected by utilizing the dynamic viscosity coefficient of water changing along with the temperature, so that the actual seepage condition of the cold seam is more accurately reflected, the reliability of evaluation is improved, errors caused by over-idealization of a conventional calculation mode are avoided, and the evaluation accuracy is improved. The seepage change of the cold seam under different temperature conditions can be more accurately evaluated by correcting the permeability coefficient, so that a more reliable basis is provided for formulating targeted engineering protection and repair measures, and the seepage risk can be better managed and reduced; and the evaluation accuracy of the construction cold seam seepage state detection method and system is improved.

The invention provides an ant colony algorithm optimization method and system for a drainage channel of a waterproof cabinet. According to the method, the double-source heterogeneous data in the drainage channel of the waterproof cabinet is collected through visual correction. And extracting a viscosity coefficient in the humidity parameters, fusing the viscosity coefficient with the light image to generate an adhesion characteristic spectrum, and constructing a three-dimensional temperature field covering the curved surface according to the adhesion characteristic spectrum. And generating a cleaning track set by applying an ant colony collaborative optimization mechanism in the temperature field, and performing fitting degree verification on the channel structure curved surface. And if the verification result is lower than the threshold value, starting nonlinear self-calibration to correct the motion vector deviation. And channel deformation intervals are distinguished based on the deviation, the dirt deposition density and the deformation intervals are associated to predict the dirt expansion trend, a preventive maintenance operation chain of a pressure self-adaptive fused ant colony algorithm is triggered, and global optimization of a cleaning path is achieved. The cleaning efficiency of the drainage channel of the waterproof cabinet is effectively improved, dirt accumulation is prevented through global path optimization, and long-acting operation of the system is ensured.

The application discloses a power turbulent flow measuring method, which adopts a hot-wire anemometer with two hot-wire probes to measure wind speeds of two points in space; then sets a sampling frequency fc, a statistical average time ts and a space length r of the hot-wire anemometer; obtains voltage data output by the hot-wire anemometer and discriminates whether the voltage data is normal or not, and eliminates abnormal data; obtains corrected voltage data; calculates a wind speed u according to the corrected voltage data; determines a time interval td according to the pre-set sampling frequency fc, and calculates a second-order and third-order turbulent flow dissipation rate by combining the wind speed measured by the two hot-wire probes; and sequentially calculates a kinematic viscosity coefficient v2 of an in-situ measurement position, an internal scale l0 of atmospheric turbulent flow and a turbulent degree I. The power turbulent flow measuring method overcomes the shortcomings that a temperature fluctuation instrument cannot measure power turbulent flow and an ultrasonic wind speed meter platform has poor applicability, and has the advantages of simple operation, applicability to severe environments, and high-altitude turbulent flow measurement by being carried on a sounding balloon.

Provided is a polyethylene-based resin composition that is to become a non-crosslinked polyethylene foamed molded body having a high expansion ratio and excellent compression durability and secondary processability.　This non-crosslinked foamed molded body comprises a polyethylene-based resin in which the melt tension is 50 mN or greater at 160°C and a take-up speed of 10 m / min, the ratio of the complex viscosity coefficients at 110°C and 100°C when the temperature has been reduced from 140°C by 1°C / min is 5 or less in a dynamic viscoelasticity measurement at a frequency of 0.1 Hz, the loss tangent at 110°C is 3 or less, according to DSC the heat production of crystallization has a single peak in the range 60°C-130°C when the temperature has been reduced from 180°C by 10°C / min, and the heat of fusion at 120°C or greater when the temperature has been increased from room temperature by 10°C / min is 5 J / g or greater.

The invention discloses a transport property simulation method, device and equipment for mixed gas in a high-temperature ionization region and a medium, and relates to the technical field of aerodynamics, and the method comprises the steps: obtaining collision integral fitting data of the mixed gas in the high-temperature ionization region, and calculating a component viscosity coefficient based on the collision integral fitting data; the temperature of the high-temperature ionization area meets a preset high-temperature judgment condition; correcting an ion viscosity coefficient in the component viscosity coefficients to obtain a corrected component viscosity coefficient, and calculating the component translational modal thermal conductivity and the component internal modal thermal conductivity by using the corrected component viscosity coefficient; based on the corrected component viscosity coefficient, the component translational modal thermal conductivity and the component internal modal thermal conductivity, determining a mixed gas viscosity coefficient and each modal thermal conductivity in the high-temperature ionization region; the transportation property simulation of the mixed gas in the high-temperature ionization area is realized by utilizing the viscosity coefficient of the mixed gas and the thermal conductivity of each mode, and the transportation property simulation precision and efficiency of the mixed gas in the high-temperature ionization area are improved.

This invention discloses an optimized method and system for preparing silicone gel for acne scar repair, relating to the field of silicone gel preparation technology. The method includes obtaining physicochemical indicators such as the viscosity coefficient, refractive index, and volatile content of silicone raw materials; using a rheological prediction model to calculate the expected viscosity change curve of the silicone raw material mixing process under the current reactor temperature field; comparing this curve with a process window threshold; if the curve exceeds the threshold, triggering a gradient temperature adjustment strategy and recalculating until the curve falls within the threshold; after determining the temperature adjustment strategy, introducing a state inversion algorithm to output the dispersity parameter of the initiator addition stage based on the crosslinking density index of the target product; and dynamically adjusting the stirring rate and the timing of dispersed phase addition according to the dispersity parameter to complete the preparation. This method enables precise control of the preparation process, improves product quality stability, and meets the performance requirements of silicone gel for acne scar repair.

The invention provides an underground water level prediction method and device based on artificial intelligence. According to the method, according to the length of each fracture area, the width of each fracture area, the height of each fracture area, the opening degree of fractures in each fracture area, the matrix permeability of each fracture area, the relative permeability of water, the viscosity coefficient of water and the volume coefficient of water, the thickness of each fracture area is calculated; determining the equivalent permeability of water in a target stratum area on the shortest path between the to-be-constructed area and the target river, a first detection water level of a target river, a first underground water burial depth of a to-be-constructed area, an equivalent permeability of water in a target stratum area on a shortest path between the to-be-constructed area and the target river, a maximum precipitation amount of the to-be-constructed area in a week in a flood season in historical years, and a historical highest water level of the target river are calculated to obtain a first detection water level of the target river, a first underground water burial depth of the to-be-constructed area and a second underground water burial depth of the to-be-constructed area. The shortest distance between the to-be-built area and the target river is input into the highest groundwater level prediction model, the first highest groundwater level of the to-be-built area is obtained, and the accuracy is high.

The invention relates to the technical field of cutting fluid measurement, and discloses an integrated online measurement system for thermal physical property parameters of cutting fluid. According to the system, a multi-mode sensing array is arranged in a cutting machining area, and temperature field distribution data, flow state data and pressure gradient data of cutting fluid are collected; building a cutting fluid thermophysical property coupling model based on the acquired data, and calculating the dynamic thermal conductivity, the specific heat capacity characteristic and the viscosity coefficient of the cutting fluid through the model; and generating a reference measurement result of the thermal physical property parameters of the cutting fluid according to the dynamic thermal conductivity, the specific heat capacity characteristic and the viscosity coefficient obtained by calculation. According to the system, comprehensive collection of multi-dimensional state information of the cutting fluid can be achieved, the limitation that traditional off-line measurement is large in deviation and existing on-line measurement is single and dispersed is broken through, the authenticity and comprehensiveness of parameter measurement are improved, accurate parameter reference is provided for real-time regulation and control in the cutting machining process, and the requirement of modern machining for cutting fluid parameter monitoring is met.

The invention discloses an inversion method of a complex space distribution vortex dynamic viscosity coefficient in an ocean internal tide mode, and belongs to the technical field of ocean numerical simulation. The key improvement point of the invention is as follows: 'independent point interpolation parameterization 'is introduced, which is a decisive scheme for solving the computational efficiency bottleneck, and the problem is converted from a'difficult-to-compute' high-dimensional state to a'computable 'middle-and-low-dimensional state, thereby providing a feasible basis for subsequent operation; a spectrum projection gradient algorithm is adopted as an optimization engine, on the basis of dimension reduction, the efficiency is further improved, it is ensured that in each iteration step, the optimal solution can be approached as few as possible, and therefore the advantage brought by dimension reduction is converted into great saving of actual calculation time. According to the method, the collaborative leap of precision, efficiency and applicability is realized, a powerful new tool is provided for internal tide research, the development of high-precision marine environment forecasting and climate models is more expected to be promoted, and the method has great scientific value and application potential.

The invention provides a gas turbine blade cooling effect test parameter modeling viscosity coefficient calculation method. The method comprises the following steps: S1, determining gas temperature and gas components before a gas turbine is designed with an examination working condition blade; s2, calculating a gas viscosity coefficient of a gas turbine design examination working condition; s3, determining the front fuel gas temperature of the blade under the test working condition; s4, calculating components of ignition gas under the test working condition; s5, calculating the viscosity coefficient of the ignition gas under the test working condition; s6, calculating test parameters; s7, testing and actually measuring the flow ratio of fuel oil to air, and calculating fuel gas components; s8, judging whether the components of the test gas conform to the calculation or not; and S9, testing and measuring the cooling efficiency of the blade. According to the method, the fuel gas viscosity coefficients in the design state and the test state during cold effect test parameter modeling are accurately calculated, the calculation method for simplifying the fuel gas viscosity coefficient into the air viscosity coefficient during cold effect test parameter modeling in the past is improved, and the parameter modeling calculation precision is improved; the medium-temperature medium-pressure molding cooling effect test can more accurately reflect the blade cooling effect under the design working condition, and the test precision is improved.

To solve the problem in which: in a MEMS-type (or flow sensor-type) thermal mass flowmeter, in order for the flow velocity distribution at a location where a measurement sensor is installed to become uniform, a sufficiently long "entrance length" for developing a laminar boundary layer is required; if a sufficient "entrance length" cannot be secured, the output of the measurement sensor fluctuates, and stable flow rate measurement cannot be performed.SOLUTION: A design method for a thermal mass flowmeter according to the technology of the present disclosure is a design method for a thermal mass flowmeter including a thermal flow sensor (100), where, when a flow passage cross-sectional area S, a reference flow velocity Vm, an entrance length L, and a kinematic viscosity v of a fluid to be measured are given, one side of a rectangular pipe constituting an entrance section through which the fluid to be measured flows is obtained as a, which satisfies a conditional expression described later (formula (6)).SELECTED DRAWING: Figure 5

The application provides a double-speed electric actuator control system, and relates to the field of electric actuators, which comprises a control unit, wherein the control unit comprises: an environmental variable conversion module which converts temperature and pressure parameters into effective viscosity coefficients and sealing loss factors; a composite wear detection unit which calculates a valve wear coefficient in real time; a PID parameter setting module which sets PID control parameters in real time according to the parameters by using a feedforward neural network, and adds physical constraints and oscillation penalty terms; a safety switching module which monitors model output confidence, environmental variable mutation rate and prediction residual in real time, and automatically switches to safety parameters when an abnormality occurs; and a double-speed execution module which dynamically adjusts high-speed continuous driving and low-speed pulse driving modes according to valve position errors; the application significantly improves the response speed, stability and control accuracy of valve control, and is suitable for precise flow control under complex and changing working conditions.

The application provides a method, device and equipment for the coordinated control of channel scouring and evolution, and a storage medium. The method comprises the following steps: first, calculating a correlation coefficient according to a sediment transport potential field and a water depth change, and entering the next step if the verification fails; then, calculating a grouped and ungrouped sediment transport rate according to a real-time particle size distribution, and determining that the gradation is abnormal if the deviation is large. At the same time, the spatial graph convolution topography weight is corrected based on the maximum particle size ratio, the modified eddy viscosity coefficient is determined, the weight coefficient of the bed load is updated, and finally, the multi-physical field coupling model is updated by using the coefficients, so that the prediction accuracy of the channel scouring is improved.

The invention provides an automatic cleaning method and system for a rice wine brewing tank. A wine dirt adhesion area is recognized through a residue distribution image on the inner wall of the rice wine brewing tank; identifying a targeted cleaning path of the rice wine brewing tank according to the geometrical characteristics and the viscosity coefficient of the wine dirt adhesion area, and performing targeted pretreatment on the wine dirt adhesion area according to the targeted cleaning path; determining the resonant frequency offset of the rice wine brewing tank after the targeted pretreatment, and identifying the adhesion state of the wine dirt adhesion object according to the resonant frequency offset; identifying a falling critical point of wine dirt stickers in the rice wine brewing tank by combining the adhesion state with a flushing fluid turbidity change curve monitored by the rice wine brewing tank in real time, and further generating a gradient pressure reduction instruction; and in response to a gradient pressure reduction instruction, activating an annular air curtain generator in a low-pressure turbulence mode to adsorb and clean fine particles on the inner wall of the rice wine brewing tank. According to the technical scheme, precise matching of cleaning power and wine dirt removing requirements can be achieved in the cleaning process of the interior of the rice wine brewing tank.

The invention belongs to the field of fluid flow velocity testing, and provides a fluid self-adaptive flow velocity testing system and method for real-time liquid viscosity coefficient detection, and the method comprises the steps: obtaining the section width, depth and pressure of a to-be-tested fluid; the fluid dynamic viscosity coefficient is detected in real time by adopting a quartz crystal oscillation frequency change principle and combining a temperature gradient compensation algorithm; calculating the optimal measurement depth of the average flow velocity according to the section width, depth and viscosity coefficient; the average flow velocity and flow are calculated based on multiple groups of data measured by the flow velocity measurement module at the optimal measurement depth; according to the optimal measurement depth calculated by the calculation control system, the flow velocity measurement module is moved to the optimal measurement depth, and the average flow velocity and flow are calculated based on multiple sets of data measured at the optimal measurement depth. According to the invention, the functions of real-time viscosity coefficient detection, intelligent deep optimization and full-automatic adjustment are integrated, the measurement precision can be obviously improved, and the operation complexity is reduced.

The application discloses a high-temperature ionization zone mixed gas transport property simulation method, device, equipment and medium, relates to the field of aerodynamics, and comprises the following steps: obtaining collision integral fitting data of a mixed gas in a high-temperature ionization zone, and calculating component viscosity coefficients based on the collision integral fitting data; the high-temperature ionization zone is an ionization zone with a temperature meeting a preset high-temperature judgment condition; the ion viscosity coefficient in the component viscosity coefficients is corrected to obtain a corrected component viscosity coefficient, and the corrected component viscosity coefficient is used to calculate component translational mode thermal conductivity and component internal mode thermal conductivity; the corrected component viscosity coefficient, the component translational mode thermal conductivity and the component internal mode thermal conductivity are used to determine the mixed gas viscosity coefficient and the mode thermal conductivities in the high-temperature ionization zone; and the mixed gas viscosity coefficient and the mode thermal conductivities are used to realize the transport property simulation of the mixed gas in the high-temperature ionization zone, so that the transport property simulation precision and efficiency of the mixed gas in the high-temperature ionization zone are improved.

This invention provides a simulation optimization method for welding performance under ultrasonic pulsed current (UFPC), comprising the following steps: obtaining the transport coefficient of the arc plasma under UFPC; incorporating the transport coefficient into the governing equation to obtain simulation results under different UFPC conditions; wherein the transport coefficient includes diffusion coefficient, electrical conductivity, thermal conductivity, and viscosity coefficient. By establishing a method for determining simulation parameters adapted to UFPC conditions, the aim is to ensure accurate simulation and optimization of the welding process, thereby improving welding quality and providing reliable theoretical support for welding process control.

The invention relates to the technical field of viscosity coefficient measurement, in particular to a liquid viscosity coefficient measuring device based on a Michelson interferometer. Comprising a wave source generation system, a ripple schlieren acquisition system, an interference pattern acquisition system and an image processing system, the wave source generation system is used for forming stably propagating surface waves on the surface of liquid to be measured, and the ripple schlieren acquisition system is used for acquiring projection schlieren of the surface waves to measure wavelength. The interference pattern acquisition system is used for capturing an interference circular ring change generated by the Michelson interferometer so as to calculate the amplitude of the surface wave, and the image processing system is used for analyzing acquired image data and fitting a surface wave amplitude attenuation curve by combining wavelength and amplitude information so as to calculate a liquid viscosity coefficient; the operation process is obviously simplified, the experiment threshold and the requirements on operators are greatly reduced, and the accuracy, repeatability and reliability of measurement are improved.