CN111259585A - Simulation method and system for weld grain nucleation growth - Google Patents
Simulation method and system for weld grain nucleation growth Download PDFInfo
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Abstract
The invention belongs to the technical field of simulation of nucleation growth of weld grains, and discloses a simulation method and a simulation system for nucleation growth of weld grains, wherein the simulation system for nucleation growth of weld grains comprises the following steps: the device comprises a grain nucleation parameter acquisition module, a data import module, a main control module, a data correction module, a modeling module, a numerical simulation module, a cloud computing module and a display module. The modeling module can be used for establishing a weld joint structure finite element model containing various crystals and simulating the material mechanical property of the mixed crystal region structure, so that cross-size simulation and emulation are realized, the cost is saved, and the model precision is greatly improved by adopting the mixed crystal region finite element model established by the modeling module; meanwhile, the solidification condition of the alloy welding molten pool is simplified through a numerical simulation module; establishing a columnar dendritic crystal and equiaxial crystal nucleation model of the alloy welding pool; defining a capture rule; establishing a columnar dendritic crystal and equiaxed crystal growth model of the alloy welding pool; the simulation accuracy is greatly improved.
Description
Technical Field
The invention belongs to the technical field of simulation of nucleation growth of weld grains, and particularly relates to a simulation method and system for nucleation growth of weld grains.
Background
The welded seam (welded seam) is a seam formed by melting and joining a welding rod and metal at a seam by using the high temperature of a welding heat source. After the weld metal is cooled, the two weldment parts are connected into a whole. The size, shape and distribution of weld grains determine and influence the overall performance of the weldment. However, the existing simulation method and system for the nucleation growth of the weld grains are not high in precision of the model constructed by the grains; meanwhile, the simulation of the welding seam crystal grain nucleation data is inaccurate.
In summary, the problems of the prior art are as follows: the existing simulation method and system for the nucleation growth of weld grains have low precision on the model constructed by the grains; meanwhile, the simulation of the welding seam crystal grain nucleation data is inaccurate.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a simulation method and a system for the nucleation growth of weld grains.
The invention is realized in this way, a simulation method for the nucleation growth of weld grains, comprising the following steps:
step one, simplifying solidification conditions 1, 2, 3, 4, 5 and 6 of an alloy welding molten pool through a simulation program; the simplified condition 1 comprises that only three cellular states of a liquid phase, a solid phase and an interface exist in the whole solidification process;
the simplification condition 2 comprises that the neighborhood relation of the cells adopts four neighborhoods;
simplifying condition 3 includes setting solute components as B and C in the alloy solidification process, neglecting mutual diffusion between solutes;
the simplification condition 4 consists in that the weld pool is approximately symmetrically distributed, and only half of the weld pool solidification is considered in order to save computation time.
The simplified condition 5 comprises that the melting pool is idealized into a quarter ellipse, the inner part of the ellipse is defined as liquid metal, and the outer part is defined as a heat affected zone or a base metal according to the distance;
the simplified condition 6 includes that the distance R from any cell in the molten pool to the center of the molten pool is obtained from the simplified condition 5:
step two, establishing a columnar dendritic crystal and equiaxial crystal nucleation model of the alloy welding pool by using the alloy welding pool simplified in the step one; defining a capturing rule; establishing a columnar dendritic crystal and equiaxed crystal growth model of the alloy welding pool; analog calculation and result derivation;
thirdly, simulating the nucleation growth of the weld grains by using a simulation program for the result of the simulation calculation in the second step; selecting an actual welding seam area with a certain size through a calculation program to obtain the sizes of a melting area, a heat affected area and a parent metal area, and the average grain sizes of columnar crystals and equiaxial crystals in the melting area and the heat affected area and the parent metal area, and calculating the number x1 of the columnar crystals in the melting area, the number x2 of the equiaxial crystals, the number y of the equiaxial crystals in the heat affected area and the number z of the equiaxial crystals in the parent metal area;
selecting a region with the same size proportion as the actual weld joint region in the MATLAB as a simulated weld joint region, and transversely and sequentially dividing the simulated weld joint region into a simulated melting region, a simulated heat affected zone and a simulated base metal region according to the actual proportion;
step five, respectively randomly generating (x1+ x2) coordinate points with the abscissa spacing larger than the ordinate spacing in the simulated fusion area of the step four, respectively randomly generating y and z coordinate points in the simulated heat affected area and the simulated parent material area, and deriving the coordinates of all the coordinate points;
reading the derived point coordinates in MATLAB, obtaining a physical model of the mixed crystal region by taking the point coordinates as the center coordinates of crystal grains by adopting a Thiessen polygon method, and deriving the coordinates of the intersection points of the crystal boundaries;
and step seven, reading the coordinates of the grain boundary intersection points in finite element simulation software to obtain a finite element model of the mixed crystal region.
Further, step one is performed before: acquiring welding seam crystal grain nucleation parameters through a crystal grain nucleation parameter acquisition module; and importing the welding seam crystal grain nucleation parameters into the main control module by using an importing program through the data importing module.
Further, step one is also performed with: and the main control module corrects the acquired welding seam crystal grain nucleation parameters by using a correction program through the data correction module.
Further, the method for calculating the number P of equiaxed crystals in the specific area in the third step is as follows:
wherein S is the area of the corresponding region, and a is the grain size of the equiaxed crystal in the corresponding region.
Further, the step seven is followed by: and processing the welding seam crystal grain nucleation data by using a cloud server and applying a cloud computing program through a cloud computing module.
Further, the step seven is followed by: and displaying the acquired welding line crystal grain nucleation parameters, the model and the simulation result by using a display through a display module.
Another object of the present invention is to provide a simulation system for nucleation growth of weld grains, which implements the simulation method for nucleation growth of weld grains, the simulation system for nucleation growth of weld grains includes:
the device comprises a grain nucleation parameter acquisition module, a data import module, a main control module, a data correction module, a modeling module, a numerical simulation module, a cloud computing module and a display module;
the grain nucleation parameter acquisition module is connected with the data import module and is used for acquiring the grain nucleation parameters of the welding line;
the data import module is connected with the grain nucleation parameter acquisition module and the main control module and is used for importing the welding seam grain nucleation parameters into the main control module through an import program;
the main control module is connected with the data import module, the data correction module, the modeling module, the numerical simulation module, the cloud computing module and the display module and is used for controlling each module to normally work through the single chip microcomputer;
the data correction module is connected with the main control module and is used for correcting the acquired welding line crystal grain nucleation parameters through a correction program;
the modeling module is connected with the main control module and used for constructing a welding line grain nucleation model through a modeling program;
the numerical simulation module is connected with the main control module and is used for simulating the nucleation growth of the weld grains through a simulation program;
and the cloud computing module is connected with the main control module and used for processing the welding seam crystal grain nucleation data by applying a cloud computing program through a cloud server.
Further, the simulation system for the nucleation and growth of the weld grains further comprises: and the display module is connected with the main control module and used for displaying the acquired welding line crystal grain nucleation parameters, the model and the simulation result through the display.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the simulation method of weld grain nucleation growth when executed on an electronic device.
It is another object of the present invention to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method for simulating the nucleation and growth of weld grains.
The invention has the advantages and positive effects that: the modeling module can be used for establishing a weld joint structure finite element model containing various crystals and simulating the material mechanical property of the mixed crystal region structure, cross-size simulation and emulation are realized, large-scale test equipment is not needed, and the cost is saved; meanwhile, the solidification condition of the alloy welding molten pool is simplified through a numerical simulation module; establishing a columnar dendritic crystal and equiaxial crystal nucleation model of the alloy welding pool; defining a capture rule; establishing a columnar dendritic crystal and equiaxed crystal growth model of the alloy welding pool; the simulation accuracy is greatly improved.
Drawings
Fig. 1 is a flowchart of a simulation method for weld grain nucleation and growth according to an embodiment of the present invention.
Fig. 2 is a structural block diagram of a simulation system for nucleation and growth of weld grains according to an embodiment of the present invention.
In fig. 2: 1. a grain nucleation parameter acquisition module; 2. a data import module; 3. a main control module; 4. a data correction module; 5. a modeling module; 6. a numerical simulation module; 7. a cloud computing module; 8. and a display module.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in FIG. 1, the simulation method for nucleation and growth of weld grains provided by the invention comprises the following steps:
s101, collecting welding seam crystal grain nucleation parameters through a crystal grain nucleation parameter collecting module; and importing the welding seam crystal grain nucleation parameters into the main control module by using an importing program through the data importing module.
And S102, the main control module corrects the acquired welding seam crystal grain nucleation parameters by using a correction program through the data correction module.
And S103, constructing a welding seam grain nucleation model by using a modeling program through a modeling module.
And S104, simulating the nucleation growth of the weld grains by using a simulation program through a numerical simulation module.
And S105, processing the welding seam grain nucleation data by using a cloud server application cloud computing program through a cloud computing module.
And S106, displaying the acquired welding seam crystal grain nucleation parameters, the model and the simulation result by using a display through a display module.
As shown in fig. 2, the simulation system for the nucleation and growth of the weld grains provided by the embodiment of the present invention includes: the device comprises a grain nucleation parameter acquisition module 1, a data import module 2, a main control module 3, a data correction module 4, a modeling module 5, a numerical simulation module 6, a cloud computing module 7 and a display module 8.
And the grain nucleation parameter acquisition module 1 is connected with the data import module 2 and is used for acquiring the welding seam grain nucleation parameters.
And the data import module 2 is connected with the grain nucleation parameter acquisition module 1 and the main control module 3 and is used for importing the welding seam grain nucleation parameters into the main control module 3 through an import program.
The main control module 3 is connected with the data import module 2, the data correction module 4, the modeling module 5, the numerical simulation module 6, the cloud computing module 7 and the display module 8, and is used for controlling each module to normally work through the single chip microcomputer.
And the data correction module 4 is connected with the main control module 3 and is used for correcting the acquired welding line crystal grain nucleation parameters through a correction program.
The modeling module 5 is connected with the main control module 3 and used for constructing a welding line grain nucleation model through a modeling program;
and the numerical simulation module 6 is connected with the main control module 3 and is used for simulating the nucleation growth of the weld grains through a simulation program.
And the cloud computing module 7 is connected with the main control module 3 and used for processing the welding seam crystal grain nucleation data by applying a cloud computing program through a cloud server.
And the display module 8 is connected with the main control module 3 and is used for displaying the acquired welding line crystal grain nucleation parameters, the model and the simulation result through a display.
The invention is further described with reference to specific examples.
Example 1
As a preferred embodiment, the modeling module 5 provided by the invention has the following modeling method:
(1) the solidification condition of the alloy welding molten pool is simplified through a simulation program.
(2) And establishing a columnar dendritic crystal and equiaxial crystal nucleation model of the alloy welding pool.
(3) A capture rule is defined.
(4) And establishing a columnar dendritic crystal and equiaxed crystal growth model of the alloy welding pool.
(5) And (5) simulating calculation and result derivation.
Example 2
The invention provides a method for simplifying model conditions in solidification conditions of an alloy welding pool through a simulation program, which comprises the following steps:
the condition 1 is simplified, and only three cellular states of liquid phase, solid phase and interface exist in the whole solidification process.
The simplified condition 2, the cell neighborhood relationship adopts a v.neumann type neighborhood, i.e., a four-neighborhood.
Simplifying condition 3, setting solute components as B and C in the alloy solidification process, and neglecting mutual diffusion between solutes.
The condition 4 is simplified, the welding pool is approximately symmetrically distributed, and only half of the solidification of the welding pool is considered in order to save calculation time.
And simplifying the condition 5, and enabling the molten pool to be idealized into a quarter ellipse, wherein the inner part of the ellipse is defined as liquid metal, and the outer part of the ellipse is defined as an influence area or a base material according to the distance.
The simplified condition 6 and the distance R from any unit cell in the molten pool to the center of the molten pool can be obtained by the simplified condition 5:
in the formula: (i, j) is the coordinate of any unit cell, and (s, s) is the coordinate of the center of the molten pool.
Example 3
The numerical simulation module simulation method provided by the invention comprises the following steps:
1) and selecting an actual welding seam area with a certain size through a calculation program to obtain the sizes of the melting area, the heat affected area and the parent metal area, the average grain sizes of columnar crystals and equiaxed crystals in the melting area and the average grain sizes of equiaxed crystals in the heat affected area and the parent metal area, and calculating the quantity x1 of the columnar crystals, the quantity x2 of the equiaxed crystals in the melting area, the quantity y of the equiaxed crystals in the heat affected area and the quantity z of the equiaxed crystals in the parent metal area.
2) Selecting a region with the same size proportion as the actual weld joint region proportion in the MATLAB as a simulated weld joint region, and dividing the simulated weld joint region into a simulated melting region, a simulated heat affected zone and a simulated base metal region in sequence along the transverse direction according to the actual proportion.
3) Respectively generating (x1+ x2) coordinate points with the abscissa spacing larger than the ordinate spacing randomly in the simulated fusion zone of the step 2), respectively generating y and z coordinate points randomly in the simulated heat affected zone and the simulated parent material zone, and deriving the coordinates of all the coordinate points.
4) And reading the derived point coordinates in MATLAB, obtaining a physical model of the mixed crystal region by using the point coordinates as the center coordinates of the crystal grains by adopting a Thiessen polygon method, and deriving the coordinates of the intersection points of the crystal boundaries.
5) And reading the coordinates of the grain boundary intersection points in finite element simulation software to obtain a finite element model of the mixed crystal region.
The method for calculating the number P of isometric crystals in the specific area in the step 1) comprises the following steps:
wherein S is the area of the corresponding region, and a is the grain size of the equiaxed crystal in the corresponding region.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (10)
1. A simulation method for nucleation growth of weld grains is characterized by comprising the following steps:
step one, simplifying solidification conditions 1, 2, 3, 4, 5 and 6 of an alloy welding molten pool through a simulation program; the simplified condition 1 comprises that only three cellular states of a liquid phase, a solid phase and an interface exist in the whole solidification process;
the simplification condition 2 comprises that the neighborhood relation of the cells adopts four neighborhoods;
simplifying condition 3 includes setting solute components as B and C in the alloy solidification process, neglecting mutual diffusion between solutes;
the simplification condition 4 consists in that the weld pool is approximately symmetrically distributed, and only half of the weld pool solidification is considered in order to save computation time.
The simplified condition 5 comprises that the melting pool is idealized into a quarter ellipse, the inner part of the ellipse is defined as liquid metal, and the outer part is defined as a heat affected zone or a base metal according to the distance;
the simplified condition 6 includes that the distance R from any cell in the molten pool to the center of the molten pool is obtained from the simplified condition 5:
step two, establishing a columnar dendritic crystal and equiaxial crystal nucleation model of the alloy welding pool by using the alloy welding pool simplified in the step one; defining a capturing rule; establishing a columnar dendritic crystal and equiaxed crystal growth model of the alloy welding pool; analog calculation and result derivation;
thirdly, simulating the nucleation growth of the weld grains by using a simulation program for the result of the simulation calculation in the second step; selecting an actual welding seam area with a certain size through a calculation program to obtain the sizes of a melting area, a heat affected area and a parent metal area, and the average grain sizes of columnar crystals and equiaxial crystals in the melting area and the heat affected area and the parent metal area, and calculating the number x1 of the columnar crystals in the melting area, the number x2 of the equiaxial crystals, the number y of the equiaxial crystals in the heat affected area and the number z of the equiaxial crystals in the parent metal area;
selecting a region with the same size proportion as the actual weld joint region in the MATLAB as a simulated weld joint region, and transversely and sequentially dividing the simulated weld joint region into a simulated melting region, a simulated heat affected zone and a simulated base metal region according to the actual proportion;
step five, respectively randomly generating (x1+ x2) coordinate points with the abscissa spacing larger than the ordinate spacing in the simulated fusion area of the step four, respectively randomly generating y and z coordinate points in the simulated heat affected area and the simulated parent material area, and deriving the coordinates of all the coordinate points;
reading the derived point coordinates in MATLAB, obtaining a physical model of the mixed crystal region by taking the point coordinates as the center coordinates of crystal grains by adopting a Thiessen polygon method, and deriving the coordinates of the intersection points of the crystal boundaries;
and step seven, reading the coordinates of the grain boundary intersection points in finite element simulation software to obtain a finite element model of the mixed crystal region.
2. The method for simulating nucleation and growth of weld grains according to claim 1, wherein the first step is preceded by: acquiring welding seam crystal grain nucleation parameters through a crystal grain nucleation parameter acquisition module; and importing the welding seam crystal grain nucleation parameters into the main control module by using an importing program through the data importing module.
3. The method for simulating the nucleation and growth of the weld grains according to claim 1, wherein the first step is further performed by: and the main control module corrects the acquired welding seam crystal grain nucleation parameters by using a correction program through the data correction module.
4. The method for simulating the nucleation and growth of the weld grains according to claim 1, wherein the method for calculating the number P of equiaxed crystals in the specific area in the third step comprises the following steps:
wherein S is the area of the corresponding region, and a is the grain size of the equiaxed crystal in the corresponding region.
5. The method for simulating nucleation and growth of weld grains according to claim 1, wherein the seventh step is followed by: and processing the welding seam crystal grain nucleation data by using a cloud server and applying a cloud computing program through a cloud computing module.
6. The method for simulating nucleation and growth of weld grains according to claim 1, wherein the seventh step is followed by: and displaying the acquired welding line crystal grain nucleation parameters, the model and the simulation result by using a display through a display module.
7. A simulation system for nucleation growth of weld grains, which implements the simulation method for nucleation growth of weld grains according to any one of claims 1 to 6, is characterized by comprising:
the device comprises a grain nucleation parameter acquisition module, a data import module, a main control module, a data correction module, a modeling module, a numerical simulation module, a cloud computing module and a display module;
the grain nucleation parameter acquisition module is connected with the data import module and is used for acquiring the grain nucleation parameters of the welding line;
the data import module is connected with the grain nucleation parameter acquisition module and the main control module and is used for importing the welding seam grain nucleation parameters into the main control module through an import program;
the main control module is connected with the data import module, the data correction module, the modeling module, the numerical simulation module, the cloud computing module and the display module and is used for controlling each module to normally work through the single chip microcomputer;
the data correction module is connected with the main control module and is used for correcting the acquired welding line crystal grain nucleation parameters through a correction program;
the modeling module is connected with the main control module and used for constructing a welding line grain nucleation model through a modeling program;
the numerical simulation module is connected with the main control module and is used for simulating the nucleation growth of the weld grains through a simulation program;
and the cloud computing module is connected with the main control module and used for processing the welding seam crystal grain nucleation data by applying a cloud computing program through a cloud server.
8. The weld grain nucleation growth simulation system according to claim 7, further comprising: and the display module is connected with the main control module and used for displaying the acquired welding line crystal grain nucleation parameters, the model and the simulation result through the display.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing a method for simulating weld grain nucleation growth according to any one of claims 1 to 6 when executed on an electronic device.
10. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the method for simulating nucleation and growth of a weld grain according to any one of claims 1 to 6.
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