580 results about "Fluid field" patented technology

The invention belongs to the field of aero-engines and turbines, and provides a quick prediction method, system and device for a two-dimensional viscous compressible flow field of a gas compressor and a medium, and the method comprises the steps: obtaining CFD simulation data of a two-dimensional blade profile of the gas compressor under multiple working conditions, and carrying out the preprocessing to obtain a standardized training data set; on the basis of the data set, constructing a hybrid neural network model which takes a blade profile geometric parameter and an operation condition parameter as input and takes a two-dimensional viscous compressible flow field as output; combining mean square error, gradient loss and physical consistency loss based on RANS equation residual error to construct a total loss function, and performing end-to-end training on the model; during reasoning, to-be-predicted parameters are input into the trained model according to the same preprocessing mode, and then a flow field prediction result can be rapidly output. According to the method, the problems of long consumed time, low precision and poor consistency of traditional CFD simulation can be solved, millisecond-level flow field prediction is achieved, high precision and high physical consistency are achieved, and the method is suitable for efficient optimization design of the blade profile of the gas compressor.

The invention relates to the field of vacuum circuit breakers, in particular to a vacuum circuit breaker opening and closing dynamic characteristic calculation method, device and equipment and a medium. Establishing a three-dimensional geometric model of the pole-mounted vacuum circuit breaker arc extinguish chamber and the moving and static contacts; setting material attributes for each part in the three-dimensional geometric model; constructing a multi-physics field coupling system; the area where the moving contact is located is divided into movable grids, and the grid density of the moving contact and the grid density of the static contact dynamically change along with time; and performing multi-field coupling transient solution according to the three-dimensional geometric model, the multi-physical field coupling system and the movable grid to obtain the dynamic characteristics of the vacuum circuit breaker. The electromagnetic field, the thermal field, the fluid field, the structure field and the circuit are subjected to full coupling analysis, multi-physical field strong coupling dynamic simulation of the whole opening and closing process is achieved, and the dynamic characteristics of the whole opening and closing process can be accurately calculated.

The present invention relates to the technical field of steel metallurgy process simulation, and specifically relates to a simulation method for particle motion and interaction behavior within a continuous casting mold. The simulation method comprises the following steps: acquiring mold parameters and establishing a model; performing fluid domain volume extraction and structured mesh division on the model; importing the mesh model into simulation software and performing iterative solution; establishing injection points for argon bubbles and inclusions within the mold, compiling and calculating the flotation removal of argon bubbles and inclusions at a steel-slag interface, the capture thereof at a solidification front, and collision-aggregation, and performing coupled computation; and post-processing the simulation results to obtain the flow field, temperature field, solidified-shell distribution, and discrete-phase motion behavior within the mold at different time points. The method of the present invention enables analysis of the motion and interactions of discrete-phase particles such as argon bubbles and inclusions within the mold, thereby accurately predicting the distribution of the particles in the molten steel and the solidified shell.

This invention relates to a spiral quick-freezing machine with multiple circulating flow fields and its adjustment method, comprising a hopper, a conveying system, and an air source; an air guide plate is arranged outside the conveying system, dividing the hopper into an inner and outer section; a partition is arranged outside the air guide plate, dividing the hopper into an upper and lower section; the air source is arranged on the partition, with the air outlet located in the upper section and the air inlet in the lower section; a first air inlet, a second air inlet, a third air inlet, a first air outlet, and a second air outlet are provided on the air guide plate, with the first air inlet, second air inlet, and first air outlet all located above the partition, and the third air inlet and second air outlet located below the partition; a circulating air vent is arranged on the partition near the first air outlet. By setting multiple air vents, two circulating flow fields are formed. Under single-space conditions, the form of the flow field is changed by controlling the opening and closing of the air vents, thereby achieving the selection of a suitable flow field under different operating conditions.

The present invention relates to the technical field of fluid mechanics. Disclosed is a variable-density low-speed flow mesoscopic numerical calculation method, comprising: determining a computational domain, and dividing or reading grid information, fluid parameters and control parameters in the computational domain; on the basis of the read information, allocating arrays, initializing corresponding parameters of the computational domain, and entering a time step loop upon completion; setting boundary conditions, and assigning all boundary macroscopic quantities in a flow field; under a finite volume framework, deriving a numerical flux of the flow field by means of a BGK equation to solve a Navier-Stokes equation of the flow field; calculating pressure and velocity fluxes at cell interfaces of the flow field, and updating boundary macroscopic quantity information on the basis of flux information; determining whether there is an external force, and if so, applying the external force by means of splitting, and updating the boundary macroscopic quantities; determining whether a time step meets a loop condition; if so, re-entering setting boundary conditions, and assigning all boundary macroscopic quantities in the flow field; and if not, outputting flow field data, and ending simulation. The present invention has the advantages of high algorithm accuracy and simple programming.

The invention discloses a direct coal liquefaction pump thermal wear prediction method considering a high temperature effect, and belongs to the technical field of fluid machinery and reliability engineering.The method comprises the steps that the high temperature effect is considered, a liquid phase control equation and a solid particle dynamic model are subjected to coupling iteration, and a solid-liquid two-phase flow numerical model is obtained; the method comprises the following steps: performing full flow field modeling on a fluid domain formed by flow passage components of a pump for direct coal liquefaction, and performing grid division on the fluid domain; constructing a heat-flow-solid multi-field coupling calculation system, and solving the solid-liquid two-phase flow numerical model by adopting a large eddy simulation method based on temperature correction and a discrete element method coupling method to obtain information of flow fields and particle fields at all positions in the pump; operation condition parameters are obtained, the thermal wear rate is obtained through a thermal wear rate calculation formula on the basis of flow field and particle field information of all positions in the pump, and the predicted wear amount of the flow passage component is obtained; and the prediction precision and applicability of the wear model are improved.

The invention relates to the technical field of intelligent water conservancy and automatic control, in particular to a polder area multi-station water conservancy data real-time collection and intelligent fusion processing method and system, and the method comprises the steps: a multi-dimensional collection system construction step: collecting time sequence state, fluid field and environment boundary data, and executing time base unified cleaning; an ideal model construction step: constructing an ideal water tank model based on the law of conservation of mass and generating an ideal water level change curve; a parameter injection simulation step: generating a simulation fault water level curve according to injection efficiency attenuation and medium leakage parameters; a double-track difference calculation step: respectively carrying out difference on actual measurement and simulation data and an ideal curve to generate real and theoretical residual vectors; a similarity judgment and control step: calculating sequence similarity to judge a real physical fault or sensor data noise, and generating a fusion control instruction; according to the invention, the technical problem of distinguishing the noise of the sensor from the real physical fault is effectively solved, and false alarm or missing alarm is avoided.

The invention discloses a thirteen-hole probe and a fluid velocity vector measurement method and system, and the method comprises the steps: carrying out the partitioning of the thirteen-hole probe according to the physical position of each pressure hole in the surface of a spherical probe; adjusting the angle attitude of the thirteen-hole probe, obtaining multiple groups of calibration data under a known flow field, and calculating an angle coefficient characteristic curve graph of each subarea by using the calibration data; performing dimensionless processing on the pore pressure data of each pressure pore in the known flow field to obtain a dimensionless pressure coefficient for fitting, and establishing a general calculation model; and collecting actually measured pore pressure data of the thirteen-hole probe in the flow field to be measured, positioning the subarea to which the actually measured pore pressure data belongs, and calling the angle characteristic curve of the corresponding subarea in the general calculation model to calculate the flow field parameters of the flow field to be measured. A plurality of pressure holes are formed in the spherical probe and used for receiving airflow in multiple directions, the defect that only airflow in the axis direction of the probe can be received in the prior art is overcome, and large-angle bias flow measurement is achieved.

The invention provides a semi-analytic LBM-DEM method for simulating particle-fluid two-phase flow, and the method comprises the steps: constructing a semi-analytic LBM-DEM coupling model, enabling the model to firstly determine the range of an expansion domain of particles, and obtaining the information, such as the average fluid velocity, the vorticity, the pressure gradient and the porosity, near the particles through traversing units in the expansion domain; and then, based on a theoretical formula and a semi-empirical formula, calculating the acting force of the fluid on the particles, and correcting a solid collision operator weight coefficient of a particle covering unit according to the acting force, so that synchronous evolution of particle dynamics and flow field distribution is realized. Compared with a classical analysis LBM-DEM coupling method, the method has the advantages that the calculation cost can be remarkably reduced under the condition that the calculation precision is guaranteed, and the method is particularly suitable for particle two-phase flow simulation in complex flow channels such as porous media and fractures.

The invention discloses a reaction steam turbine through-flow method and system based on variable reaction degree optimization, and belongs to the technical field of steam turbine through-flow design. The method comprises the steps that an initial geometric model of a steam turbine through-flow part and thermal boundary conditions of all stages are obtained; inputting the initial geometric model and the thermal boundary conditions into a flow field solver, and solving a flow control equation to obtain an original flow field solution; constructing a functional taking through-flow efficiency as a target, and deducing an adjoint equation corresponding to the flow control equation; solving the adjoint equation to obtain gradient information of the target functional to each level of reaction degree; inputting the gradient information into a sequential quadratic programming optimizer, and iteratively updating the reactance of each stage by combining the maximum equivalent stress upper limit of the moving blade and the lower limit of the through-flow throat area to generate a variable reactance distribution scheme; and adjusting molded line geometric parameters of each stage of stationary blade and moving blade, and outputting optimized three-dimensional molded line data and a digital model file for numerical control machining. According to the method, the in-stage flow loss is reduced, and the design robustness is enhanced.

The invention discloses an ultra-large-diameter slurry shield deslagging parameter optimization method, system and device and a storage medium. The method comprises the following steps that a three-dimensional model is constructed; establishing a motion simulation model; the motion simulation model solves a flow process equation of a slurry fluid phase and a motion control equation of a rock slag particle phase according to the deslagging parameters, so that flow field distribution characteristics and rock slag migration behaviors in the excavation bin and the air cushion bin are obtained; obtaining an evaluation index of the deslagging performance, and judging whether the evaluation index meets a preset requirement or not. According to the method, a fluid phase flow equation and a particle phase motion control equation are solved by utilizing the simulation model, and an interaction mechanism of the slurry and the rock slag is defined, so that simulation is closer to a real situation; and dynamic adaptation of slag discharge parameters with a complex pipe network system and actual construction working conditions is realized. The probability of detention and accumulation of rock slag at the bottoms of the excavation bin and the air cushion bin is remarkably reduced, equipment abrasion is reduced, abnormal tunneling parameters are avoided, and stability and continuity of shield tunneling are guaranteed.

The invention discloses a water turbine local turbulence field prediction method, and relates to the technical field of water turbines. The method comprises the following steps: S1, data acquisition and preprocessing; s2, sparse measurement point feature extraction; s3, low-dimensional representation of the turbulent flow field; s4, carrying out double-model joint training; and S5, performing real-time prediction. According to the method, the global turbulent flow field prediction can be realized only by using the pressure / speed time sequence data of a small number of sparse measuring points in the water turbine runner, and an expensive full flow field experiment table does not need to be built or a dense sensor array does not need to be deployed. Compared with the traditional experimental measurement (the equipment cost is more than ten million yuan), the total investment of the sensor and the computing equipment is only ten thousand yuan, and the cost is reduced by more than 99%; meanwhile, the installation difficulty of the sensor in a high-flow-speed and high-pressure area is avoided, the existing monitoring point layout of a hydropower station can be directly adapted, the technology landing feasibility is remarkably improved, and the model architecture does not depend on a specific water turbine type and can be adapted to different types such as a mixed-flow type and an axial-flow type by adjusting grid parameters and training data.

The invention belongs to the technical field of oil and gas field development engineering and multiphase flow numerical simulation, and relates to a rapid prediction method for gas-liquid two-phase flow key flow parameters of a horizontal gas well. Constructing the mixed momentum equation, the mass conservation equation and the drift velocity constitutive relation into a partial differential equation residual group; secondly, constructing a physical information Fourier operator network architecture, and learning integral operator mapping from working condition parameters to flow field distribution in a frequency domain by using a lifting layer, a Fourier layer and a projection layer; and finally, calculating a partial derivative of an output variable relative to a space-time coordinate by utilizing an automatic differential technology, and constructing a loss function fusing a data error and a physical PDE residual error to carry out model training. According to the method, millisecond-level accurate prediction of the pressure, the liquid holdup and the flow velocity field of the whole wellbore is achieved, and the problems that traditional numerical simulation calculation is long in time consumption, the real-time monitoring requirement is difficult to meet, and a pure data driving model lacks physical consistency are solved.

The invention discloses a centrifugal pump blade damage suppression design and optimization method based on multi-physics field coupling, which comprises the following steps: constructing a fluid grid model of a centrifugal pump and carrying out transient flow field numerical simulation comprising a cavitation model and a dispersed phase model to obtain transient flow field simulation results of a cavitation field and a dispersed phase motion field; according to the transient flow field simulation result of the cavitation field, cavitation collapse wall surface energy is calculated, and a first correlation model of the blade geometric parameters and cavitation collapse energy is established; according to a transient flow field simulation result of the dispersed phase motion field, calculating particle impact wall surface energy, and establishing a second correlation model of the geometric blade parameters and the particle impact wall surface energy; and according to the first correlation model and the second correlation model, the cavitation collapse energy and the particle impact energy are controlled to suppress damage generated by multiple physical fields coupled with cavitation and particle impact, and multi-objective optimization is carried out in a mode of minimizing the cavitation collapse energy and minimizing the particle impact energy, so that optimal blade parameters are determined.

The invention relates to the technical field of simulation laboratories, and discloses a multifunctional laboratory capable of simulating different marine environments based on ship body carrying, which comprises a ship body capable of simulating different marine environments and manufacturing various controllable flow fields from laminar flow to turbulent flow in an experiment cabin through a controllable flow field generation unit; through the controllable wave generation unit, waves with specified wave heights and periods can be generated in the experiment module; the water body temperature and salinity regulation and control unit is used for quickly and accurately regulating the temperature and salinity of the water body in the experiment module; water bodies with different turbidity and eutrophication levels are simulated through the environmental biological simulation unit; through an outside-in test mode, a sealing door at the bottom of the experiment module is opened, the underwater robot and other equipment are allowed to freely enter and exit, the dynamic response and control algorithm of the underwater robot when entering a complex environment (external real ocean) from a calm environment (in the experiment module) can be tested, and in-situ storage of a sampled sample can be realized.

The invention provides a robot sampling depth control antifouling method based on a multi-source self-supervised active learning algorithm, and the method comprises the steps: obtaining multi-source data, such as environment parameters, postures, propulsion states and sampling port neighborhood fluid, constructing a self-supervised environment feature model, and extracting water source, flow field disturbance and attachment reentry features; calculating three indexes of a target depth water body matching degree, a different depth mixing degree and equipment disturbance brought-in pollution, forming antifouling evaluation, judging a sampling safety level and generating a sampling trigger condition; constraining approaching stage propulsion and attitude by combining the safety level and the evaluation result, determining sampling port opening time, duration and propulsion constraint according to trigger conditions after reaching a target depth range, executing sampling, and outputting sampling completion state data; the mixing risk is reduced, and the cleanliness and stability are improved.

The invention discloses an experiment-numerical value-machine learning fusion-based in-oil liquid drop electric field dynamics modeling and regulation method, which comprises the following steps of: firstly, constructing a high-voltage electric field liquid drop experiment system, and testing oil liquid drop experiment data in oil; then establishing a multi-physics field coupling model, and describing deformation and flow field evolution of oil drops in oil under a strong electric field; and finally, constructing a BP neural network and optimizing an initial weight and a threshold value to realize rapid prediction of the deformation behavior of the oil drops in the oil under the action of the electric field. According to the method, an experimental characterization-numerical solution-machine learning optimization three-layer collaborative system is constructed, a whole-process closed loop from physical property determination, equation solution to algorithm prediction is realized, and droplet deformation, charge distribution and interface response are rapidly predicted under the conditions of different electric field intensities, temperatures and emulsifier concentrations; and active control of electric field behaviors can be realized through parameter reverse adjustment, and reliable modeling and optimization basis is provided for an electrowetting chip, a flexible EHD pump and a microfluidic liquid drop regulation and control system.

The invention discloses a gas film flow field pressure testing device, and particularly relates to the technical field of gas bearing detection, the gas film flow field pressure testing device comprises a rack, a testing assembly is arranged on the rack, the testing assembly comprises a testing table arranged on the rack, and two bases are arranged at the bottom of an inner cavity of the testing table; and two ends of each base are respectively provided with a pressurizing block for testing a test piece. According to the invention, the deflection angle of the articulation piece is adjusted through the screw rod, and the arc-shaped constraint groove and the self-weight resetting structure of the pressurizing block are matched, so that gas bearing test pieces with different outer diameters and different groove type parameters can be flexibly adapted; the adaptability depends on standardized test logic formed by collaborative research and development, and on the contrary, the test capability of accurate data and panoramic working conditions covers more application scenes, so that an accurate, comprehensive, efficient and practical closed-loop advantage is formed, and the industrial application value of the device is remarkably improved.

The invention provides a three-dimensional flow field acquisition method and system based on two-dimensional through-flow and a neural network, belongs to the field of fluid mechanics calculation, and can at least partially solve the problem that in the prior art, calculation efficiency is low, and two-dimensional through-flow cannot reflect three-dimensional features. Geometric parameters and working condition parameters of fluid machinery are input, and flow parameters on a two-dimensional flow surface are rapidly output; constructing and training a neural network model, wherein the neural network learns a mapping relation between a two-dimensional flow surface calculation result and a three-dimensional flow field; for the fluid machinery under the target working condition, a result is obtained through two-dimensional through-flow calculation, the result is preprocessed and then input into the trained neural network, the low-dimensional representation of the three-dimensional flow field is output, and complete three-dimensional flow field parameters are obtained through reconstruction. The calculation period is remarkably shortened, and rapid optimization of multiple schemes is supported.

The invention discloses a low-temperature liquid cavitation numerical prediction method considering different-scale heat effects, and belongs to the field of low-temperature liquid cavitation numerical prediction. The implementation method comprises the steps that a corresponding fluid domain geometric model is established, grids are divided, a computational fluid mechanics model is established under the macro-scale, a separation vortex DES turbulence model is adopted, a fluid volume VOF model is used for capturing a macro-scale cavity interface, and convective heat transfer correction under the macro-scale is conducted on a cavitation model; establishing a cavitation kinetic equation considering heat conduction correction under the mesoscale, solving resistance, volume force, additional mass force, pressure gradient force and lift force suffered by the mesoscale discrete cavitation by using a DBM discrete phase model, and obtaining a movement track of the discrete cavitation in a cavitation flow field; and calculating the unsteady cavitation flow by taking a steady result as an initial value to obtain a flow field characteristic under a macroscale and a discrete cavitation dynamic evolution process under a mesoscale, thereby realizing quantitative description and high-precision numerical prediction of the unsteady cavitation flow.

The invention discloses a three-dimensional model order reduction method for a special valve and electronic equipment, and belongs to the field of special valves. The method comprises the following steps: firstly, performing three-dimensional modeling according to a design file of the special valve to obtain an internal flow channel model; calculating a flow field in the special valve flow channel under different working conditions by utilizing computational fluid mechanics software; performing modal decomposition on a sample data set of the original three-dimensional model obtained by flow field calculation to obtain a spatial mode, a modal coefficient and modal energy; selecting the modal quantity according to the modal energy; fitting the modal coefficient, and establishing a relationship between the working condition parameter and the modal coefficient; and quickly predicting the internal flow field of the special valve under the unknown working condition according to the fitting model obtained by fitting and the spatial mode. According to the method, the calculation amount is effectively reduced while the calculation precision is ensured, the calculation efficiency is greatly improved compared with a numerical simulation method, and the requirement of a user for obtaining the internal flow field information of the special valve with high efficiency and high real-time performance can be met.

The present application belongs to the technical field of geotechnical engineering and indoor test, and provides a visual test device and method for interaction between high-pressure rotary jet flow and soft soil, which comprises a detachable model box, a jet medium simulation system, a high-pressure rotary jet flow generation system, an overburden pressure simulation system, a data acquisition system and a tracing system.The test device has the advantages of high visual degree, detachability, easy assembly and easy production.The jet medium simulation system has significant shear thinning characteristics, and has a high degree of reduction of the non-Newtonian fluid properties of cement slurry, which not only overcomes the problem of easy blockage of the pipeline, but also avoids distortion defects.The trajectory of the fluorescent powder particles in the jet medium simulation system can be captured by a high-speed camera under the irradiation of the pulsating laser beam generated by the pulsating laser, so as to accurately reproduce the flow field information of the high-pressure rotary jet flow in the soft soil.

A vortex breaker assembly includes a vessel, a first conduit, and a fluid source. The vessel having a first fluid arranged therein. The vessel includes an opening formed in an outer wall. The first conduit is coupled to the vessel and configured to open into the vessel via the opening such that the first fluid can flow into the first conduit via the opening. The first conduit includes an inlet formed therein. The fluid source provides a second fluid to the at least one inlet. The second fluid flows into the first conduit from the inlet at a predetermined flow momentum such that the second fluid interacts with the first fluid flowing from the vessel and through the first conduit so as to disrupt a flow field of the first fluid and minimize formation of a fluidic vortex of the first fluid at the opening.

The invention relates to the technical field of gas injection tools, in particular to a throttling gas nozzle which comprises a valve body of a columnar structure, a streaming cavity, a buffering cavity and a flow stabilizing cavity are formed in the valve body in an up-down spaced mode, a connecting rod is fixed in the streaming cavity, a first-stage throttling channel is formed in the connecting rod, and the upper end of the first-stage throttling channel extends to the upper end of the valve body; and the lower end of the first-stage throttling channel is communicated with the buffer cavity. According to the throttling air nozzle, through the buffering cavity and the flow stabilizing cavity, the stability and repeatability of the output flow of the throttling air nozzle can be improved, interference caused by upstream pressure fluctuation is restrained, the buffering layer in the buffering cavity can optimize the impact form of internal high-pressure airflow on the cavity, energy dissipation of high-speed airflow is increased, and the vortex and cavitation phenomena are reduced; therefore, the service life and the reliability of the throttling air tap are improved. According to the composite design of the multi-stage cavity bodies of the streaming cavity, the buffer cavity and the steady flow cavity and the throttling channel, the problems that a traditional air nozzle is disordered in flow field and low in adjusting precision are solved.

The invention discloses an accurate measurement device and method based on water tunnel flow field resistance, and relates to the technical field of flow field medium measurement. Comprising a working section and a test board. The working section is internally provided with a testing assembly for testing the flow field medium resistance of the testing plate; the test assembly comprises a fixed plate; sensor fixing seats are symmetrically and fixedly connected to the fixing plate, force sensors are fixedly connected to the sensor fixing seats, and the force sensors are used for detecting the force values of a flow field medium in the working section acting on the X-axis direction and the Y-axis direction of the testing plate; the force sensors are fixedly connected with connecting plates. An adjusting assembly used for adjusting the height of the testing plate is arranged between the testing plate and the connecting plates. The force measuring directions of the Y-axis directions of the adjacent force sensors are opposite, and the force value output by the S-shaped force sensor is the resultant force of the X-axis direction and the Y-axis direction; the horizontal resistance of a flow field medium borne by the test plate can be accurately measured, meanwhile, the pressure difference interference force in the vertical direction is effectively counteracted, and the resistance test precision and stability are improved.

The invention provides a research method for solving a sub-channel equation based on a physical information neural network, and belongs to the technical field of artificial intelligence. The method comprises the following steps: firstly, determining a to-be-calculated physical problem, collecting related data, screening the data, and carrying out data preprocessing; determining a control equation, boundary conditions and initial conditions of the system according to the system needing to be calculated; selecting a proper adaptation technology based on the data features and the equation features; designing a neural network architecture for solving, and determining input and output of the network and a network structure; according to the selected adaptation technology and problem features, defining adjustment variables in corresponding forms; designing a composite loss function exclusive to the model; training and optimizing the model to ensure that the precision of the model reaches the highest; and outputting a result and completing multi-scene verification solution. According to the method, in a pressurized water reactor sub-channel single-phase liquid coolant one-dimensional transient scene, a flow field can be solved with high precision and key parameters can be synchronously inverted based on a small amount of data, and meanwhile, the method can adapt to sub-channels with different geometrical characteristics and carry out friction parameter inversion in a targeted manner.

The application discloses a circulating water pump drag-reducing and pressure-increasing device and a motor regulating system thereof, relates to the technical field of fluid machinery and automatic control, and constructs a flow field active control system of sensing, decision-making and execution. A high-frequency pressure sensor array continuously captures pressure pulsation frequency spectrums before and after an inlet flow guide unit. The frequency spectrums are directly mapped with the vortex intensity and flow state instability degree of the impeller inlet. An intelligent decision-making module performs real-time decoupling and analysis on the frequency spectrums, identifies the characteristic frequency and energy intensity of harmful vortexes, synchronously calculates the optimal deflection angle instruction of the flow guide vane, and drives the adjustable flow guide vane to move according to the instruction. An accurate pre-whirl flow with controllable intensity is actively generated in the inlet flow field in the opposite direction of the rotation direction of the impeller, so that the flow lines are greatly smoothed before the fluid enters the impeller, and the fluid can smoothly enter the working area of the impeller at the best attack angle.

The invention belongs to the field of hydroelectric generation control engineering and fluid mechanical dynamics, and particularly discloses a starting-up optimization control method of a large hydroelectric generating set based on full-view simulation and dynamic verification. Comprising the steps of multi-dimensional real machine test database construction and benchmark evaluation, one-dimensional system simulation and macroscopic boundary definition, three-dimensional high-fidelity transient flow field simulation and microscopic mechanism insight, startup law dynamic optimization based on simulation insight and'simulation-test 'technology closed loop and iterative refining. Compared with the prior art, one-dimensional system simulation and three-dimensional high-fidelity flow field simulation are organically combined for the first time, the problem of comprehensive analysis from the macroscopic hydraulic transition process to the microcosmic complex flow mechanism is solved, the'full-transparency 'insight of the starting process is achieved, multiple performance indexes such as vibration, throw, stress and temperature can be considered at the same time, and the method is suitable for large-scale popularization and application. And the overall stability of the unit is synergistically improved.

This invention relates to a method and system for rapidly calculating the steady-state periodic response of a rigid body flapping rotor, belonging to the field of rotor flapping response calculation technology. It utilizes a rotor region mesh to iteratively calculate the rigid body flapping angle, flapping velocity, and flow field velocity, and then calculates the rotor's aerodynamic forces based on blade element theory. The aerodynamic forces are then used to calculate the rotor momentum source term. This term is added to the momentum source term in the Navier-Stokes equations, and the rotor region mesh is updated. Finally, the aerodynamic forces are used to calculate the Faroe Islands momentum source term. n This invention updates the rotor rigid body flapping response in a loosely coupled manner. It calculates the rotor's steady-state periodic flapping response to the collective pitch control input, longitudinal periodic pitch control input, and lateral periodic pitch control input. By loosely coupling the rotor momentum source term and the rotor rigid body flapping response, this invention comprehensively considers the influence of aerodynamic components on the flow field, effectively improving computational efficiency.