173 results about "Grid file" patented technology

The invention discloses a bay environment simulation forecasting method and device, relates to the technical field of marine environment forecasting, and aims to solve the problem that in the prior art, forecasting precision and forecasting timeliness cannot be taken into account when environment simulation forecasting is carried out on a bay. The method comprises the following steps: based on coastline data, performing encryption processing on a target sub-region in a target gulf region by adopting a curve orthogonal grid, and generating a variable-resolution refined curve orthogonal grid from an inshore region to an open sea region; based on a refined curve orthogonal grid, according to a model simulation data format requirement, a variable-resolution grid file is manufactured and obtained; determining a model input file based on the water depth topographic data and the variable resolution grid file; and inputting the model input file into a preset three-dimensional oblique pressure ocean numerical model for calculation to obtain simulation forecast data. Therefore, the simulation precision requirements of different bay areas can be met, and the simulation calculation speed and the simulation calculation efficiency of the whole target bay area are ensured.

The invention relates to the technical field of computational fluid mechanics data post-processing, and particularly discloses an OpenFOAM unsteady state simulation result-oriented boundary surface physical quantity calculation method, which comprises the following steps of: setting a working root directory, reading a grid file and establishing an example grid; accessing a time control function, and reading simulation time information of each time folder; establishing a global blank file to store boundary surface physical quantity results, first line writing time and physical quantity variable names at all moments; sequentially reading field quantity data required by calculation in the time folder; appointing and searching the name of a concerned boundary surface, creating a scalar field magSf of the boundary surface, and calculating and storing the area of a grid surface element; defining and initializing physical quantities and intermediate quantities of boundary surfaces, calculating physical quantities and intermediate variables of surface elements of each grid, and traversing the grids; and writing a result from the second line of the global file according to a time sequence, and traversing all times. By the adoption of the method, key data at all moments can be accurately extracted, errors and complexity caused by manual processing are avoided, and the calculation efficiency is greatly improved.

The invention relates to a robot perception and control method and system based on a dynamic nerve symbol distance field. The method comprises the following steps: acquiring each original grid file of a robot; constructing an overall robot according to the grid file, performing random sampling, calculating an SDF true value from a sampling point to each robot joint, and performing fitting to obtain a static nerve symbol distance field; the joint position of the robot is sampled, a forward kinematics result is obtained and serves as input, the static nerve symbol distance field is distilled, and a dynamic nerve symbol distance field is obtained; the robot is trained by utilizing a reinforcement learning technology, the dynamic nerve symbol distance field is used as external perception input, the joint angle is used as output of the robot, and a teacher strategy is obtained through training; and distilling the teacher strategy to obtain a student strategy for motion control of the robot. Compared with the prior art, the method has the advantages that the collision condition is pre-judged in advance, the control is accurate, the processing efficiency is high and the like.

The invention provides a load distribution method, device and system for numerical reservoir simulation. The method comprises the steps that a grid file is obtained, the grid file is a file representing the geological space structure of a target area, the target area is one or more of a coal mine, an oil field, a geothermal field and a gas field, and the grid file comprises a plurality of grids; loads are distributed according to the types of grids in the grid file, the types of the grids comprise structured grids or non-structured grids, the loads are equipment used for reservoir numerical simulation, and the distribution mode comprises average distribution according to the number of the grids and / or average distribution according to the calculation time of the grids, the calculation time is time for load calculation of oil-water distribution of the target area during numerical reservoir simulation; and controlling all loads, and carrying out reservoir numerical simulation based on the distributed grid file. According to the method, the problem that in the prior art, load balancing cannot be achieved during load distribution in numerical reservoir simulation grid calculation is solved.

The invention discloses a CFD calculation method and system based on a neural network and adaptive parameter optimization, and belongs to the technical field of computational fluid dynamics. Initializing a flow field by reading calculation parameters and a grid file; solving the N-S equation, recording solving parameters and outputting an intermediate flow field; inputting the intermediate flow field into a pre-trained physical constraint neural network, sequentially applying boundary condition hard constraint and soft constraint based on control equation residual error, and outputting a corrected flow field; based on the convergence dynamic characteristics and the solving parameters, outputting a parameter adjustment amount through a strategy network of reinforcement learning training, and dynamically optimizing the solving parameters; and taking the corrected flow field as an initial flow field of the next iteration step, updating solving parameters, and circularly executing until convergence. According to the method, the physical prior is embedded into the neural network, intelligent self-adaptive regulation and control of solving parameters are realized through reinforcement learning, and the prediction precision and convergence efficiency of complex flow simulation are remarkably improved.

The invention provides a finite element mesh automatic generation method and system based on multi-geometric-form block mapping. The generation method comprises the steps that a key area, a transition area and a non-key area of a target geometric model are determined; automatically segmenting the target geometric model by using a block partitioning mode; wherein a hexahedron block is constructed in the key area, a multi-geometric-form block is constructed in the transition area, and a block in any form is constructed in the non-key area; after the step 2, mapping the hexahedron block to generate a hexahedron mesh, generating the hexahedron mesh by using the multi-geometric-form block according to a pre-mapping rule, and filling the block in any form by using a target algorithm; and performing quality adjustment on the grid file obtained in the step 3, and outputting a hybrid grid file. By adopting the prediction method and introducing a multi-geometric-form partitioning mode, a user can perform hybrid partitioning on a specified key area to realize automatic generation of the block, so that the success rate of block partitioning is ensured, and the iterative calculation amount of automatically generating the block is reduced.

The invention provides an automatic pretreatment format conversion method for parachute inflation finite element simulation. The automatic pretreatment format conversion method comprises the following steps: carrying out geometric modeling and finite element mesh division on a canopy and a parachute cord by utilizing Gmsh; a preprocessing format conversion system is developed, grid files and calculation parameters are uploaded, and the conversion system automatically stores, calculates and integrates data and converts preprocessing files into input files needed by finite element calculation; then, finite element simulation analysis of the typical parachute inflation process is carried out through CalculiX, so that the reliability of the automatic conversion function of the pretreatment format is verified; the automatic preprocessing format conversion system suitable for parachute inflation finite element simulation and the graphical user interface of the automatic preprocessing format conversion system are developed, full-automatic processing of files is achieved, the use threshold of a user is lowered, and simulation efficiency and application benefits are improved.

The invention discloses a bridge nonlinear flutter modal characteristic analysis method, device and equipment and a medium, and relates to the technical field of numerical simulation, fluid mechanics software is utilized, and a Navier-Stokes equation is subjected to transient solution based on a grid file and a development program to obtain lift force, torque and resistance of a current time step length; judging whether the current time step length is smaller than a preset time step length threshold value or not, and if not, judging whether all working conditions corresponding to different parameters in the development program are completely calculated or not; if all the calculation is completed, obtaining all lift forces, torques and resistances; carrying out amplitude change flutter derivative identification and calculation on all lift forces, torques and resistances to obtain amplitude change flutter derivatives related to vertical bending vibration, torsional vibration and lateral bending vibration, and carrying out bridge nonlinear flutter modal feature analysis on a bridge section by utilizing the amplitude change flutter derivatives to obtain a nonlinear flutter modal feature analysis result; the amplitude change flutter derivative related to lateral vibration can be recognized, and the accuracy and universality of amplitude change flutter derivative recognition are improved.

The invention discloses a digital twinning-based hydrodynamic model display method, system and device and a storage medium, and the method comprises the steps: obtaining a simulation result of a hydrodynamic model from local storage or network data service, and storing the simulation result in a data structure of a digital twinning system; a water body three-dimensional model is generated through the grid Shp file, vertex flow field and water level data are calculated based on a model simulation result, and after normalization, the vertex flow field and water level data are mapped to a color channel and vertex height of the water body three-dimensional model; a water surface dynamic effect is enhanced by adopting a water surface ripple normal mapping and flow velocity color mapping, and PostProcessVolume is created to simulate interface refraction and underwater visual effects of the water surface and air. The three-dimensional flow field and water level change of the hydrodynamic model can be displayed, visualization of underwater simulation results is supported, and the sense of reality of the flow effect is improved; and in combination with network data service and a local file access mode, the data loading and updating speed is increased, and the method is suitable for various data access environments.

The invention relates to the technical field of plasma physical simulation, in particular to an SOLPS simulation method suitable for a variable specific impulse magnetic plasma electric propulsion device. According to the technical scheme, the method comprises the following steps of parameter obtaining, wherein simulation parameters of the electric propulsion device are obtained; file generation: based on the simulation parameters, generating input files required by SOLPS simulation through an external program, including a device geometric file, a fluid grid file, a power source file and a particle source file; and SOLPS calculation: importing the input file into an SOLPS program, generating a calculation grid by the SOLPS program, and performing plasma simulation calculation. According to the method, the adaptability problem of application of the SOLPS program in the variable specific impulse magnetic plasma linear electric propulsion device is solved, end-to-end integration from parameter input to result visualization is achieved, energy deposition distribution can be accurately described, and the simulation accuracy and efficiency are remarkably improved.

The invention relates to the technical field of electromagnetic scattering characteristic analysis and modeling, in particular to a scattering center establishing and correcting method based on a geometric model and reference data. The method comprises the following steps: inputting a target geometric or grid file, and extracting geometric features of a plane, an edge and a curved surface to construct an initial scattering center model; inputting electromagnetic scattering reference data of the same target, solving a scattering center correction coefficient by adopting a pseudo-inverse or Tikhonov regularization method, and optimizing an initial model; and outputting an optimized scattering center model with angle and frequency expansibility. According to the method, the electromagnetic scattering characteristics of metal and coating type complex structure targets in single-station, double-station and full-polarization scenes can be uniformly represented, and the problems of insufficient model precision, incomplete types and high data dependence degree in the prior art are solved; the method achieves the excellent effects that the RCS root-mean-square error is smaller than 2dB and the high-resolution imaging structure similarity exceeds 90% in typical target modeling, and is suitable for the fields of target characteristic simulation and characteristic extraction and recognition.

The invention discloses a layout parameterization hierarchical parallel mesh generation method based on Net. The method comprises the following steps: inputting a layout design file, analyzing hierarchical structure identification ports, generating a port set P and creating an accessed port set V (initial V =); a graph G = (VG, EG) is constructed, VG comprises key vertexes or geometric centers of ports and conductor fragments, an electrically independent Net is generated through traversal of a breadth-first search algorithm or a depth-first search algorithm, and iteration is performed until V is completely equal to P; configuring independent subdivision parameters such as a grid size and a grid algorithm for each Net; net is used as an independent task, grids are divided through parallel computing frameworks such as multithreading, and a complete grid file for subsequent simulation is generated after merging. According to the method, Net automatic identification is realized through graph theory analysis; different Net precision requirements are adapted by differential subdivision parameters, so that waste of computing resources is avoided; through parallel processing, the time consumption of layout grid division is shortened to the time consumption of processing the maximum Net, and the efficiency and the flexibility of simulation pre-processing are remarkably improved.

The invention discloses a hydraulic fracturing problem finite element modeling system and method based on a large language model. The hydraulic fracturing problem finite element modeling system based on the large language model comprises a client, a cloud service platform and a computing server. The client is composed of an interactive interface and a display interface; the cloud service platform comprises a storage space, a first input end, a second input end, a third input end, a transmission end, a trained large language model, a grid tool and a parameter grid coupling tool; the computing server comprises a storage unit, an operation unit and a visualization unit. The invention provides a hydraulic fracturing problem finite element modeling system based on a large language model, the large language model is trained, the large language model can generate a key parameter file according to user input, and a parameter grid coupling tool can generate a finite element model file according to the key parameter file and a grid file.

The invention discloses a method for fusing Lagrange particle data in OpenFOAM two-phase flow simulation. The method comprises the following steps: reading an OpenFOAM discrete Euler grid file and creating an example grid; creating a global blank file under the work root directory; a variable name corresponding to the Lagrange particle data to be read by the program is written into the first line of the global blank file; sequentially reading a plurality of Lagrangian variables oriented to particles by OpenFOAM in the time folder; variable names and all Lagrange particle data at the current moment are written into an AllPars.dat file and an InstPars.csv file according to particle index numbers; and traversing all lagrangian particles at all moments, completing data reading, fusion and output, printing information on a screen, prompting that the operation is completed, and ending the operation of the program. According to the method for fusing the Lagrangian particle data in OpenFOAM two-phase flow simulation, the Lagrangian particle variables of all moments in OpenFOAM two-phase flow or multiphase flow simulation results can be efficiently fused and output in a general format, and data visualization and deep analysis are facilitated.

The invention provides a fluid-solid-heat dynamic simulation method for impeller blade particle impact based on multi-physics field coupling, the physics field in the method comprises a fluid field, a heat transfer field and a structure field, coupling simulation is carried out through data exchange among different software, and the process of particle impact on an impeller blade is calculated and analyzed. The method mainly comprises the following steps: importing an impeller model grid file into FLUENT software, setting a turbulence model and the like, setting parameters such as the density and the viscosity parameter of air fluid along with the temperature change, the rotating speed of a fluid domain and the like, and setting the flow speed and the temperature parameter of an air inlet; in EDEM software, parameters such as the material, the number and the particle generation of particles are set; a UDF script is read in the FLUENT software, a coupling switch of the EDEM software is turned on, and bidirectional coupling simulation of data exchange is carried out; and importing the obtained temperature change range into an elastic-plastic thermal coupling material model of LS-DYNA software, and carrying out explicit dynamic simulation by taking the obtained particle movement speed as the initial speed of the particles impacting the impeller.

The invention relates to the technical field of computational fluid mechanics data post-processing, and particularly discloses a method for fusing OpenFOAM low-dimensional unsteady-state simulation Euler field domain data. The method comprises the following steps: firstly, setting an OpenFOAM working root directory, and reading a discrete grid file to create an example grid; then, a global blank file is created under the work root directory and used for storing the fused data; variable names are written in the first line of the global file to distinguish different Euler field domain variables. Afterwards, the program reads the multiple Euler field domain data in the time folder in sequence, all moments are traversed, and a blank file storage data result is created for each moment; and then, writing corresponding data in the global blank file according to the grid number, and writing data in the file at each moment. And finally, traversing all moments and grids by the program, completing data reading, fusion and output, printing operation completion information, and ending program operation. According to the method, the data processing efficiency is improved, and powerful support is provided for result analysis of flow and combustion problems.

The invention provides a three-dimensional flow field simulation method and system based on a clean air conditioner. The method comprises the following steps: constructing a grid historical database of an electronic plant; according to the grid historical database, an AI pre-judgment model is trained, and the AI pre-judgment model is based on a random forest algorithm superposition space attention mechanism; obtaining dynamic scene features of the electronic plant, inputting the dynamic scene features into the trained AI pre-judgment model, and outputting high-risk area coordinates and partition grid parameters; then generating a three-layer multi-scale grid of a macroscopic layer, a mesoscopic layer and a microscopic layer, and coupling and transmitting data by adopting an overlapping grid technology to obtain a grid; the method comprises the following steps: performing independence verification on a grid, and outputting a final grid file, specifically, through AI learning and a multi-scale technology, realizing distribution of grid resources according to needs, not only solving the contradiction that the traditional grid is too dense to waste computing power and too sparse to be insufficient in precision, but also capturing the association of microscopic airflow and macroscopic airflow.

The invention relates to the technical field of marine environment simulation and risk assessment, in particular to a calculation method for simulating a blockage particle trajectory. The calculation method for simulating the particle trajectory of the blockages comprises the steps that a wave flow coupling model is constructed according to a grid file, and the grid file is constructed through a surface water simulation system; in a particle tracking module of the wave-flow coupling model, adjusting particle parameters of blockage particles according to the dynamic characteristics of the blockage; operating the particle tracking module to obtain simulated trajectory data of the blockage particles after particle parameter adjustment; and according to the simulated trajectory data, counting the number and probability of the blockage particles entering the predetermined range of the nuclear power station water intake so as to predict the blockage risk of the nuclear power station water intake. According to the calculation method, the drifting trajectory of the blockage object can be accurately simulated, the risk that the water intake is blocked is predicted, and a reliable quantitative basis is provided for water intake safety early warning and protection decision making of the nuclear power station.

The invention discloses a flow-induced noise integration method, device and equipment based on a finite element method and a storage medium, and relates to the technical field of noise integration, and the method comprises the steps: obtaining an aerodynamic noise source based on a sound source type and a time domain flow field file; transmitting an aerodynamic noise source from the fluid grid to the acoustic grid based on the acoustic grid file and a data mapping algorithm to obtain a time domain sound source; converting the time domain sound source into a frequency domain sound source based on a time-frequency conversion strategy; and constructing a numerical model based on the frequency domain sound source, and solving the numerical model to obtain a sound propagation result. The problems that in a traditional mixing method, due to the fact that a plurality of independent modules exchange large-scale intermediate data through a file system, the process is split, reading and writing are time-consuming, and user operation is tedious are solved, integrated solving of aerodynamic noise simulation from sound source extraction to sound field calculation is achieved, user operation steps are simplified, and user experience is improved. Therefore, on the premise that the calculation precision is guaranteed, the overall execution efficiency and the automation level of the simulation process are remarkably improved.

The application provides a kind of ultra-low orbit satellite whole process coupling thermal simulation method and system.The method comprises: constructing whole process coupling thermal simulation system;In control layer, the geometric grid file and orbit attitude parameter file of satellite are imported by input setting interface, and simulation time and task flow time sequence are set;The control layer passes the imported parameters to the calculation layer, and starts time iteration calculation;In the calculation layer, three calculation modules are coupled, and the calculation results are transmitted to the data layer for integration;The data layer transmits the integrated data file to the output display interface to show the simulation results in the form of numerical value, curve or cloud picture.The ultra-low orbit satellite whole process coupling thermal simulation method proposed by the application constructs an integrated thermal simulation system that integrates multiple core calculation modules, while supporting numerical, curve, cloud picture and other forms of visual output, which facilitates designers to intuitively and comprehensively evaluate the satellite thermal management effect.

The application discloses an automatic verification and evaluation method and system for simulation effect of an air quality model, and comprises the following steps: determining meteorological stations and air quality stations in a simulation area range based on the simulation area range, and obtaining corresponding formatted monitoring data; selecting the nearest grid point in a grid file corresponding to the monitoring stations based on the longitude and latitude of each station, batch extracting simulation values in the corresponding grid, and obtaining formatted simulation data; matching and merging the monitoring data and the simulation data, and obtaining a corresponding merged file; calculating the merged file, and obtaining statistical index results of different parameters of each station; and performing statistical analysis, time series analysis and spatial distribution analysis on the statistical index results. The application can realize rapid extraction, analysis and comparison of simulation results, improve the verification efficiency, reduce the need for human interference and subjective judgment, provide reliable quantitative analysis, and improve the objectivity and repeatability of the verification.

The invention provides a parallel structured network subdivision system suitable for an FDTD algorithm, and belongs to the technical field of electromagnetism. Surface fitting is conducted on each triangular surface element through a surface fitting module, a triangular surface element complexity list is generated, the load process of each triangular surface element in the complexity list is dynamically allocated based on a greedy algorithm, and a global interface file containing surface data is generated; carrying out internal grid filling on the target object subjected to surface fitting through a medium filling module, creating a Cartesian structure for each grid plane process needing to be filled, and carrying out filling in a parallel mode to generate a grid model; and realizing cross-module data transmission through the global interface file, and outputting a grid file containing a grid model. According to the method, the problem of resource idleness caused by the difference of the calculated amount of the triangular surface elements is effectively solved, the parallel efficiency is remarkably improved, the surface fitting module can achieve the acceleration effect close to linearity, and the method is particularly suitable for large-scale geometric models with complex structures.

The invention relates to the technical field of petroleum and natural gas exploration and development, and provides a well layer data splitting method. Comprising the steps of 1, obtaining a standard well name; 2, generating. Vol and. Ev files of a well without testing and testing data; 3, generating a virtual well name for the well with the testing and testing data, and generating. Trj,. Vol and. Ev files of the virtual well; 4, generating. Net and. Lyr data files, adding. INIT and. GRID files, and making a. SCH file; 5, adding the. SCH file into a model file, performing operation by applying Eclipse software, and updating the model; 6, performing result post-processing on the. RSM obtained after model calculation to obtain final layer well group index data; according to the method, the potential area is quantitatively found, the potential well layer can be given, the analysis efficiency is improved, and the scheme implementation effect is improved.

The invention provides a dam internal structural surface automatic identification method and device, and relates to the technical field of hydraulic engineering structure analysis and computational mechanics, and the method comprises the steps: reading a dam finite element grid, and defining boundary control parameters of a target structural surface position; the method comprises the following steps of: identifying a connecting surface simultaneously containing a first type of boundary nodes and a second type of boundary nodes in a model, and performing iterative expansion on the connecting surface by utilizing a topology propagation algorithm to form a continuous connecting surface set; positioning all unit surfaces formed by the first type of boundary nodes based on the set, and integrating the unit surfaces to obtain a target structural surface; and finally, outputting a multi-format grid file through coordinate transformation. According to the method and the device provided by the invention, the node boundary type is defined, the topology propagation algorithm is utilized to automatically identify and iteratively expand the connecting surface, the identification precision is improved, the processing efficiency is improved, the efficient and full-automatic identification of the internal structural surface of the dam is realized, and a core technical support is provided for structural analysis.

The invention discloses a dynamic grid local re-subdivision method based on an initial model and a grid, and belongs to the technical field of dynamic grids. The method comprises the following steps: reading an initial model file, and setting the initial displacement of a moving area to be 0; subtraction operation is carried out on the re-subdivision area and the moving area in the model; copying geometric data of the re-subdivision area and deleting the geometry of the original re-subdivision area; mesh generation is carried out on the whole preprocessed model, and an initial mesh file containing a complete computational domain is generated; reading the initial model file, an initial grid file generated in the first time step and the movement amount of the current time step; performing class operation; repairing the model; carrying out initial grid processing; carrying out local re-subdivision and boundary calibration on the grid; and generating a new grid file. According to the method, the calculation overhead is reduced, the simulation efficiency is improved, the grid parameter mapping efficiency is improved, the geometric gap or penetration risk is eliminated, and the core problems of low efficiency and geometric integrity damage in the prior art are solved.

The application provides a space-time grid file system, comprising: a grid configuration table corresponding to a file configuration table, the grid configuration table comprising a hierarchical level of a dissected grid and a grid code, the hierarchical level of the dissected grid and the grid code indexing disk sector positions where data associated with each grid is stored, and the data being accessed by querying the disk sector where the data is located in the grid configuration table through the grid code. By setting the grid configuration table corresponding to the file configuration table, the disk data is directly indexed, and the database retrieval is not needed for the file system access, so that the purpose of reducing the system burden and improving the query efficiency is achieved.

The invention discloses a method for fusing OpenFOAM unsteady state simulation result boundary surface Euler field domain data, which comprises the following steps of: firstly, setting a current OpenFOAM working root directory, reading a grid file and creating an example grid; creating global blank file storage boundary surface Euler field domain data; writing a variable name in the first line of the global blank file; specifying and searching names of concerned boundary surfaces, and sequentially reading Euler field domain data of a plurality of boundary surfaces in the time folder; and sequentially writing each boundary surface Euler field domain data corresponding to the variable name into the global blank file according to the boundary surface grid number, and after data reading, fusion and output are completed, printing information on a screen and prompting that the operation is completed until the operation of the program is finished. According to the method for fusing the OpenFOAM unsteady state simulation result boundary surface Euler field domain data, boundary surface physical parameter spatio-temporal evolution data can be efficiently obtained, the processing efficiency is remarkably improved, and a one-stop solution is provided for post-processing of the OpenFOAM unsteady state simulation boundary surface data.

The invention discloses a method for a distributed grid file oriented to an Elmer type. Comprising the steps that a host process creates a plurality of parallel processing processes; a plurality of grid file reading threads are respectively created in the process, and signal mechanisms are arranged among the grid file reading threads; after the grid file reading thread reads the Elmer grid data, a body thread determines a target processor divided by a body grid in the process based on a Hiber space filling curve, multi-stage grid re-division is executed, and the grid is re-divided to the corresponding target processor; according to the method, the space filling curve is used for replacing a traditional graph-based partitioning scheme, parallel partitioning is performed based on the spatial distribution of the centroids of the grid units, and after the grids are re-divided, it can be ensured that each processor has the number of the grids with the same scale and the number of interfaces shared among the processors is minimum; on one hand, load balancing during subsequent finite element solution is realized, and on the other hand, grids are divided to a large number of processors for solution.

The invention relates to a finite element simulation grid-based reversible deformation design method and system for an investment casting. According to the method, a coordinate ID matching algorithm is utilized, a mapping relation is established between displacement data in an analyzed grid node displacement data file and corresponding nodes in an initial grid file, and an intermediate grid file containing casting deformation data is generated; by using a data mapping algorithm, reversely assigning the intermediate grid file to the initial grid file, and reconstructing to obtain a corrected grid file containing a reversible deformation feature; and finally, converting the corrected grid file into a three-dimensional geometric model as a reversible deformation design model for investment casting mold manufacturing. Compared with the prior art, the method has the advantages of simple process, high design precision and the like.

The application discloses a kind of based on autonomous grid multi-solver automation simulation method, comprising: reading and analyzing simulation configuration file, obtains target solver type, physical model, working condition, boundary mapping rule and solving control parameter;Read the initial grid file generated autonomously, determine compatibility requirements according to target solver type, format adaptation or version conversion is carried out to initial grid file, and adapted grid file is generated;Based on target solver type, corresponding script template file is called, and parameterized filling is carried out in combination with the foregoing each parameter and grid information, to generate control script;Corresponding solver execution program is called, adapted grid file is loaded and control script is executed to start calculation, and result file containing convergence state information is obtained;Result file is analyzed and processed, key physical quantity data is extracted and engineering evaluation index is calculated, and structured simulation result data is output.