CN116244865B - Method and device for finite element modeling of axial flow impeller and computer storage medium - Google Patents
Method and device for finite element modeling of axial flow impeller and computer storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a method, a device and a computer storage medium for finite element modeling of an axial flow impeller; the method comprises the following steps: setting the grid size of the part to be divided according to the geometric characteristics of the part to be divided; the part to be divided is a circularly symmetrical section of the integral axial flow impeller; based on the grid size of the to-be-divided parts, performing grid division on the to-be-divided parts to generate a grid model, and acquiring grid information from the grid model; based on the grid information, node information subjected to constraint is obtained according to a set index rule so as to apply constraint on the grid model, and therefore the finite element simulation model is obtained.
Description
Technical Field
The embodiment of the invention relates to the technical field of finite element meshing, in particular to a method and a device for finite element modeling of an axial flow impeller and a computer storage medium.
Background
At present, rotating machinery is widely applied to the fields of aviation, electric power, machinery, chemical industry and the like, while an impeller is used as a core component of the rotating machinery to work at high rotating speed and heavy load for a long time, and the performance of the impeller directly determines the performance and working efficiency of the whole rotating machinery equipment, so that geometric modeling, grid division, finite element simulation analysis and optimization design of the impeller are very necessary. Meanwhile, the method for establishing the finite element model and performing finite element simulation analysis on the impeller to assist in the optimal design of the structure has been widely paid attention to by expert students at home and abroad, and a great deal of improvement and innovation are made in the aspect of finite element modeling. The grid generation and load constraint application of the impeller are important component links of simulation analysis, and a large amount of grid information and corresponding constraint data are used in the simulation analysis process, so that the grid information and the constraint data occupy a large amount of memory data of a computer in the processing process, and the huge calculation amount is large in dependence on the performance of the computer, so that the problems of slow simulation analysis process, low calculation efficiency and the like are caused.
Disclosure of Invention
In view of the foregoing, embodiments of the present invention desirably provide a method, apparatus, and computer storage medium for finite element modeling of an axial flow impeller; node information for applying constraint can be quickly obtained, the complexity of a finite element modeling algorithm is reduced, and the finite element modeling efficiency is improved; meanwhile, the whole finite element modeling process also reduces the data storage capacity.
The technical scheme of the embodiment of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a method for finite element modeling of an axial flow impeller, the method comprising:
setting the grid size of the part to be divided according to the geometric characteristics of the part to be divided; the part to be divided is a circularly symmetrical section of the integral axial flow impeller;
based on the grid size of the to-be-divided parts, performing grid division on the to-be-divided parts to generate a grid model, and acquiring grid information from the grid model;
based on the grid information, node information subjected to constraint is obtained according to a set index rule so as to apply constraint on the grid model, and therefore the finite element simulation model is obtained.
Optionally, in some possible embodiments, the setting the mesh size of the part to be divided according to the geometric feature of the part to be divided includes:
Naming each curved surface in the part to be divided according to a set naming rule;
searching a corresponding curved surface through the name of the curved surface to determine the geometric characteristics of the curved surface;
and setting corresponding grid dimensions based on the geometric characteristics of the curved surface.
Optionally, in some possible embodiments, the grid information includes information of each grid cell, where the information of the grid cell includes information of vertices corresponding to the grid cell and information of midpoints of connection lines of vertices of the grid cell; the information of the middle point of the connecting line of each vertex of the grid unit is obtained by calculation according to the information of each vertex of the grid unit; the information of the vertex at least comprises an index number and coordinate data of the vertex.
Optionally, in some possible embodiments, the obtaining node information for applying constraints according to a set index rule based on the grid information to apply constraints to the grid model to obtain a finite element simulation model includes:
based on the grid information, node information applying cyclic symmetry constraint is obtained according to a set first index rule so as to apply cyclic symmetry constraint to the grid model according to the structural characteristics of the axial flow impeller;
And obtaining node information applying coupling constraint according to a set second index rule for the grid model applied with the cyclic symmetry constraint so as to apply the coupling constraint according to the simulation working condition requirement, thereby obtaining the finite element simulation model.
Optionally, in some possible embodiments, the obtaining node information for applying a cyclic symmetry constraint according to a set first index rule based on the grid information to apply a cyclic symmetry constraint to the grid model according to a structural feature of the axial flow impeller includes:
after the grid model is generated, determining the number of vertexes of each curved surface applying the cyclic symmetry constraint as the number of nodes applying the cyclic symmetry constraint according to the names of the curved surfaces applying the cyclic symmetry constraint;
traversing a first grid line on a first curved surface, and indexing node information corresponding to a starting point, a middle point and a terminal point of the first grid line to record the node information into a first array arrNode 1;
traversing a second curved surface to find a second grid line that matches the first grid line;
if a second grid line matched with the first grid line is found in the second curved surface, node information corresponding to the starting point, the middle point and the end point of the second grid line is indexed and recorded in a second array arrNode 2;
Traversing the first array arrNode1 and the second array arrNode2, and judging whether the corresponding nodes in the first array arrNode1 and the second array arrNode2 need to apply cyclic symmetry constraint according to the index numbers of the nodes respectively stored in the first array arrNode1 and the second array arrNode 2; and if the cyclic symmetry constraint condition needs to be applied, applying the cyclic constraint condition to the corresponding nodes in the first array arrNode1 and the second array arrNode 2.
Optionally, in some possible embodiments, the circularly symmetric constraint is imposed on the master node; wherein, the node with the small index number in the two nodes applying the cyclic symmetry constraint is defined as the main node.
Optionally, in some possible embodiments, the obtaining node information to which the coupling constraint is applied according to the set second index rule to apply the coupling constraint according to the simulation condition requirement to the grid model to which the cyclic symmetry constraint is applied, so as to obtain a finite element simulation model includes:
after the cyclic symmetry constraint is applied to the grid model, searching the curved surface according to the name of the curved surface applying the coupling constraint to obtain the information of the vertexes of all grids generated on the curved surface in an index manner;
Storing information of vertices of all grids generated on the curved surface in a point set;
and searching the vertex needing to be constrained in the point set according to the index number of the vertex based on the simulation working condition requirement so as to apply coupling constraint.
In a second aspect, embodiments of the present invention provide an apparatus for finite element modeling of an axial flow impeller, the apparatus comprising: a setting section, a dividing section, and an applying section; wherein,
the setting part is configured to set the grid size of the part to be divided according to the geometric characteristics of the part to be divided; the part to be divided is a circularly symmetrical section of the integral axial flow impeller;
the dividing part is configured to divide the grids of the parts to be divided based on the grid sizes of the parts to be divided to generate a grid model, and acquire grid information from the grid model;
the applying section is configured to acquire node information to apply constraints in accordance with a set index rule based on the mesh information to apply constraints to the mesh model to obtain a finite element simulation model.
Optionally, in some examples, the setting portion is configured to:
Naming each curved surface in the part to be divided according to a set naming rule;
searching a corresponding curved surface through the name of the curved surface to determine the geometric characteristics of the curved surface;
and setting corresponding grid dimensions based on the geometric characteristics of the curved surface.
Optionally, in some examples, the dividing portion is configured to:
the grid information comprises information of each grid cell, wherein the information of each grid cell comprises information of vertexes corresponding to the grid cell and information of midpoints of connecting lines of vertexes of the grid cell; the information of the middle point of the connecting line of each vertex of the grid unit is obtained by calculation according to the information of each vertex of the grid unit; the information of the vertex at least comprises an index number and coordinate data of the vertex.
Optionally, in some examples, the application portion is configured to:
based on the grid information, node information applying cyclic symmetry constraint is obtained according to a set first index rule so as to apply cyclic symmetry constraint to the grid model according to the structural characteristics of the axial flow impeller;
and obtaining node information applying coupling constraint according to a set second index rule for the grid model applied with the cyclic symmetry constraint so as to apply the coupling constraint according to the simulation working condition requirement, thereby obtaining the finite element simulation model.
Optionally, in some examples, the application portion is configured to:
after the grid model is generated, determining the number of vertexes of each curved surface applying the cyclic symmetry constraint as the number of nodes applying the cyclic symmetry constraint according to the names of the curved surfaces applying the cyclic symmetry constraint;
traversing a first grid line on a first curved surface, and indexing node information corresponding to a starting point, a middle point and a terminal point of the first grid line to record the node information into a first array arrNode 1;
traversing a second curved surface to find a second grid line that matches the first grid line;
if a second grid line matched with the first grid line is found in the second curved surface, node information corresponding to the starting point, the middle point and the end point of the second grid line is indexed and recorded in a second array arrNode 2;
traversing the first array arrNode1 and the second array arrNode2, and judging whether the corresponding nodes in the first array arrNode1 and the second array arrNode2 need to apply cyclic symmetry constraint according to the index numbers of the nodes respectively stored in the first array arrNode1 and the second array arrNode 2; and if the cyclic symmetry constraint condition needs to be applied, applying the cyclic constraint condition to the corresponding nodes in the first array arrNode1 and the second array arrNode 2.
Optionally, in some examples, the application portion is configured to:
the circularly symmetric constraint is applied to the master node; wherein, the node with the small index number in the two nodes applying the cyclic symmetry constraint is defined as the main node.
Optionally, in some examples, the application portion is configured to:
after the cyclic symmetry constraint is applied to the grid model, searching the curved surface according to the name of the curved surface applying the coupling constraint to obtain the information of the vertexes of all grids generated on the curved surface in an index manner;
storing information of vertices of all grids generated on the curved surface in a point set;
and searching the vertex needing to be constrained in the point set according to the index number of the vertex based on the simulation working condition requirement so as to apply coupling constraint.
In a third aspect, embodiments of the present invention provide an apparatus for finite element modeling of an axial flow impeller, the apparatus comprising: a communication interface, a memory and a processor; the components are coupled together by a bus system; wherein,
the communication interface is used for receiving and transmitting signals in the process of receiving and transmitting information with other external network elements;
The memory is used for storing a computer program capable of running on the processor;
the processor is configured to perform the method steps of finite element modeling of the axial flow impeller of the first aspect when the computer program is run.
In a fourth aspect, embodiments of the present invention provide a computer storage medium having a program for axial flow impeller finite element modeling, which when executed by at least one processor implements the method steps of axial flow impeller finite element modeling of the first aspect.
The embodiment of the invention provides a method and a device for finite element modeling of an axial flow impeller and a computer storage medium; after the circularly symmetric segment model of the axial-flow impeller 1 is obtained, the grid size of the part to be divided can be set according to the geometric data of the part to be divided so as to carry out grid division to generate a grid model, so that grid information is obtained; after grid information of the parts to be divided is obtained, node information applying constraints is obtained according to set index rules to apply constraints to the grid model so as to obtain the finite element simulation model. By the finite element modeling method provided by the embodiment of the invention, the association relation between the grid cells and the node information can be established in an index mode, so that the node information applying the constraint can be rapidly acquired, the complexity of a finite element modeling algorithm is reduced, and the finite element modeling efficiency is improved; meanwhile, the whole finite element modeling process also reduces the data storage capacity.
Drawings
Fig. 1 (a) and fig. 1 (b) are schematic structural diagrams of an axial flow impeller according to an embodiment of the present invention;
FIG. 2 (a) is a schematic diagram of a basic model structure according to an embodiment of the present invention;
FIG. 2 (b) is a schematic view of a partial model of the basic model of FIG. 2 (a) including tenons;
FIG. 3 is a schematic flow chart of a method for finite element modeling of an axial flow impeller according to an embodiment of the present invention;
FIG. 4 is a schematic view of a partial model including a blade and dovetail provided in an embodiment of the present invention;
FIG. 5 is a schematic view of a vane pressure surface position provided by an embodiment of the present invention;
FIG. 6 is a schematic view of a bounding box and diameter of a pressure/suction side of a blade according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a method for setting the mesh scale of the blade pressure/suction side at the mesh setup interface according to an embodiment of the present invention;
FIG. 8 is a grid schematic diagram of the partial model generation provided in FIG. 4;
FIG. 9 is a schematic diagram of a grid-setting interface of each component to be divided in an axial flow impeller according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of the geometry of a tetrahedral mesh unit provided by an embodiment of the present invention;
FIG. 11 is a schematic diagram of the positions of vertices and midpoints of a tetrahedral mesh unit according to an embodiment of the present invention;
FIG. 12 is another schematic diagram of a basic model structure according to an embodiment of the present invention;
FIG. 13 is a schematic view of a bottom surface of a flange according to an embodiment of the present invention;
FIG. 14 is a schematic view of a tip shroud top surface according to an embodiment of the present invention;
FIG. 15 is a schematic diagram of a coupling constraint applying interface arrangement provided by an embodiment of the present invention;
FIG. 16 is a schematic diagram of a device for finite element modeling of an axial flow impeller according to an embodiment of the present invention;
fig. 17 is a schematic diagram of a specific hardware structure of an apparatus for finite element modeling of an axial flow impeller according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
It can be understood that in the finite element simulation analysis process of the impeller, if the grid information amount of the impeller is too large, the calculation amount of the computer is increased, so that the finite element simulation analysis process is slow, the time of the finite element simulation analysis is prolonged, and the calculation efficiency is low. Therefore, in the process of grid division of the impeller, the grid size of the impeller is expected to improve the precision of the subsequent finite element simulation analysis result, and the grid information quantity of the blade is also expected to be effectively controlled so as to improve the simulation efficiency of the finite element simulation analysis.
Referring to fig. 1 (a) and 1 (b), a schematic structural view of an axial flow impeller 1 is shown. As shown in fig. 1 (a) and 1 (b), the axial flow impeller 1 includes: disk cavity 10, forward profile 20, aft profile 30, multi-piece blade 40, tip shroud 50, and dovetail 60. Note that, the tenon 60 is disposed in the roulette disc chamber 10.
In addition, in the finite element simulation analysis of the axial flow impeller 1, it is necessary to grid-divide the axial flow impeller 1, and considering that the axial flow impeller 1 has a rotationally symmetrical structure, for example, 34 blades 40 are included in the axial flow impeller 1 in fig. 1 (a) and 1 (b), it is common to grid-divide the axial flow impeller 1 with a thirty-fourth model of the axial flow impeller 1 as a base model to generate a finite element simulation model that can be used for the finite element simulation analysis calculation, wherein the base model is shown in fig. 2 (a), and the partial model including the tenons 60 in the base model of fig. 2 (a) is also shown in fig. 2 (b). It should be noted that, in fig. 1 (a) and fig. 1 (b) of the embodiment of the present invention, only the geometry of the axial flow impeller 1 including 34 blades is shown, but the finite element modeling method provided by the embodiment of the present invention is also applicable to other rotationally symmetric models.
In the embodiment of the present invention, the mesh generated by the axial flow impeller 1 is a tetrahedral mesh to explain the technical scheme in detail.
Referring to fig. 3, a method for finite element modeling of an axial flow impeller according to an embodiment of the present invention is shown, where the method specifically includes:
s301, setting the grid size of a part to be divided according to the geometric characteristics of the part to be divided; the part to be divided is a circularly symmetrical section of the integral axial flow impeller;
s302, based on the grid size of the to-be-divided parts, performing grid division on the to-be-divided parts to generate a grid model, and acquiring grid information from the grid model;
s303, based on the grid information, node information applying constraints is obtained according to a set index rule so as to apply constraints on the grid model, and therefore the finite element simulation model is obtained.
For the technical scheme shown in fig. 3, after the circularly symmetric segment model of the axial-flow impeller 1 is obtained, the mesh size of the part to be divided can be set according to the geometric data of the part to be divided so as to carry out mesh division to generate a mesh model, so that mesh information is obtained; after grid information of the parts to be divided is obtained, node information applying constraints is obtained according to set index rules to apply constraints to the grid model so as to obtain the finite element simulation model. By the finite element modeling method provided by the embodiment of the invention, the association relation between the grid cells and the node information can be established in an index mode, so that the node information applying the constraint can be rapidly acquired, the complexity of a finite element modeling algorithm is reduced, and the finite element modeling efficiency is improved; meanwhile, the whole finite element modeling process also reduces the data storage capacity.
It will be appreciated that the circularly symmetric segment model in the solution described in fig. 3 is the basic model shown in fig. 2 (a).
For the solution described in fig. 3, in some possible embodiments, the setting the mesh size of the component to be divided according to the geometric feature of the component to be divided includes:
naming each curved surface in the part to be divided according to a set naming rule;
searching a corresponding curved surface through the name of the curved surface to determine the geometric characteristics of the curved surface;
and setting corresponding grid dimensions based on the geometric characteristics of the curved surface.
It should be noted that, in the embodiment of the present invention, in order to facilitate searching the curved surface corresponding to each component to be divided in the subsequent finite element simulation model building process, standard naming is performed on the curved surface of each component to be divided in the specific implementation process, for example, the pressure surface Ps of the blade may be named as bladeresusssurface, and the suction surface Ss of the blade may be named as bladeresuctionsurface. Wherein fig. 4 and 5 show the positions of the suction side Ss and the pressure side Ps, respectively.
The names of the curved surfaces are not particularly limited, and may be determined according to practical situations.
In addition, it should be noted that, in order to describe in detail the method of setting the mesh size provided in the embodiment of the present invention, the description of the mesh generation method is only performed by taking the partial model including the blade 40 and the tenon 60 as an example in fig. 4.
In the specific implementation process, for grid division, all the components to be divided are provided with a settable grid size, where the grid size is a relative value with respect to the radius of the bounding box of the curved surface to which the grid belongs, and as the rectangle in fig. 6 represents the bounding box corresponding to the curved surface, the line surbox r indicated by the arrow in fig. 6 represents the diameter size of the bounding box of the pressure/suction surface of the blade, so that the grid proportional size of the pressure/suction surface of the blade is set by, for example, the grid setting interface shown in fig. 7, for example, 0.002, and when the grid is generated, the grid size of the pressure/suction surface of the blade is as follows: the resulting grid is schematically shown in FIG. 8 as surviving R0.002.
It should be noted that the above is only an example of setting the mesh size and generating the mesh, and the mesh scale size may be reset according to the geometric data of the component to be divided and the mesh size requirement in the implementation process. Of course, other methods of meshing the parts to be partitioned may be employed in the implementation process.
In addition, it should be noted that fig. 7 only shows a schematic diagram of the mesh ratio size of the pressure/suction surface of the blade, and the mesh ratio size of other components to be divided may be set on the geometric mesh interface as shown in fig. 9 according to the same principle, which is not described here.
The mesh proportion of the corresponding curved surfaces in each part to be divided can be set through the geometric surface mesh setting interface shown in fig. 9, and after mesh information corresponding to each curved surface is generated, meshes of each part to be divided in the axial flow impeller can be generated in sequence. That is, firstly, the geometric data of the corresponding curved surface is searched through the name of the curved surface, then the mesh proportion size is set for the searched curved surface, and then the geometric surface mesh of the curved surface is generated, so that tetrahedral mesh information of the basic model is obtained.
For the technical solution described in fig. 3, in some possible embodiments, the grid information includes information of each grid unit, where the information of the grid unit includes information of vertices corresponding to the grid unit and information of midpoints of connection lines of vertices of the grid unit; the information of the middle point of the connecting line of each vertex of the grid unit is obtained by calculation according to the information of each vertex of the grid unit; the information of the vertex at least comprises an index number and coordinate data of the vertex.
It will be understood that the volumetric mesh information is mainly composed of three-dimensional node coordinate data, and the mesh cells are linked to specific nodes by means of indexes, wherein table 1 shows coordinate data representing all nodes of the blade structure, table 2 shows numbers representing nodes constituting the mesh cells, and fig. 10 shows a geometric structure representing one tetrahedral mesh cell and numbers constituting the nodes corresponding to the tetrahedral mesh cell.
TABLE 1
| Pi | (x,y,z) |
| P0 | (0.328176,0.034127,0.127905) |
| P1 | (0.243534,0.0127872,0.133128) |
| P2 | (0.233539,0.0268645,0.066492) |
| P3 | (0.234297,0.0191626,0.066492) |
| … | … |
| Pm | (0.240348,0.00878336,0.112296) |
| … | … |
| Pn-1 | (0.242231,0.0127786,0.125933) |
| Pn | (0.23901,-0.0020094,0.102482) |
TABLE 2
| Grid cell | Node numbering |
| E0 | (P0,P1,P2,P3) |
| E1 | (P1,P2,P3,Pm-1) |
| … | … |
| Em | (Pi,Pj,Pk,Pm) |
| … | … |
| En | (Pm,Pm-2,Pk,Pn) |
Further, it is understood that, after the tetrahedral mesh is generated, mesh information thereof includes mesh cell information and node information. The node information here includes vertex information of the tetrahedral mesh unit and midpoint information of each vertex connection of the mesh unit, that is, 10 node information corresponding to one tetrahedral mesh includes 4 vertices and 6 midpoints. The grid cell information mainly includes index numbers of nodes constituting the grid cell. It should be noted that, in the embodiment of the present invention, one grid cell is expressed by 4 vertices, and coordinate data of other 6 midpoints can be calculated by using the coordinate data of the four vertices, as shown in fig. 11, P1, P2, P3, and P4 are grid cell vertices, and the midpoints M1, M2, M3, M4, M5, and M6 of the grid cell can be calculated by using the vertices.
For the solution described in fig. 3, in some possible embodiments, the obtaining node information for applying constraints according to a set index rule to apply constraints to a mesh model based on the mesh information to obtain a finite element simulation model includes:
based on the grid information, node information applying cyclic symmetry constraint is obtained according to a set first index rule so as to apply cyclic symmetry constraint to the grid model according to the structural characteristics of the axial flow impeller;
and obtaining node information applying coupling constraint according to a set second index rule for the grid model applied with the cyclic symmetry constraint so as to apply the coupling constraint according to the simulation working condition requirement, thereby obtaining the finite element simulation model.
For the above embodiments, in some examples, the obtaining node information for applying a cyclic symmetry constraint according to a set first index rule based on the grid information to apply a cyclic symmetry constraint to the grid model according to a structural feature of the axial flow impeller includes:
after the grid model is generated, determining the number of vertexes of each curved surface applying the cyclic symmetry constraint as the number of nodes applying the cyclic symmetry constraint according to the names of the curved surfaces applying the cyclic symmetry constraint;
Traversing a first grid line on a first curved surface, and indexing node information corresponding to a starting point, a middle point and a terminal point of the first grid line to record the node information into a first array arrNode 1;
traversing a second curved surface to find a second grid line that matches the first grid line;
if a second grid line matched with the first grid line is found in the second curved surface, node information corresponding to the starting point, the middle point and the end point of the second grid line is indexed and recorded in a second array arrNode 2;
traversing the first array arrNode1 and the second array arrNode2, and judging whether the corresponding nodes in the first array arrNode1 and the second array arrNode2 need to apply cyclic symmetry constraint according to the index numbers of the nodes respectively stored in the first array arrNode1 and the second array arrNode 2; and if the cyclic symmetry constraint condition needs to be applied, applying the cyclic constraint condition to the corresponding nodes in the first array arrNode1 and the second array arrNode 2.
Optionally, in the above example, the circularly symmetric constraint is imposed on the master node; wherein, the node with the small index number in the two nodes applying the cyclic symmetry constraint is defined as the main node.
It will be appreciated that in the implementation, the curved surfaces for which the cyclic symmetry constraint needs to be applied include the curved surfaces S1 and S2 in fig. 2 (a) and the curved surfaces S3 and S4 in fig. 12, for example. Therefore, in the application process of the cyclic symmetry constraint, the number of the vertices of the cyclic symmetry curved surface is obtained according to the names of the cyclic symmetry curved surface as the number of the nodes for applying the cyclic symmetry constraint, and then the first curved surface is traversed, for example, a first grid line on the curved surface S1 is traversed first, and node information of the starting point, the middle point and the end point of the first grid line is indexed and recorded in a first array arrNode 1; and traversing the rest of the curved surfaces to search, for example, searching a second grid line matched with the first grid line in the curved surface S4, wherein the meaning of the first grid line matched with the second grid line means that the first grid line and the second grid line can completely coincide after the basic model is rotationally copied. If the second grid line matched with the first grid line is not found in the curved surface S4, the curved surface S1 and the curved surface S4 are considered to have no condition for forming the circular symmetry constraint, and the rest curved surfaces applying the circular symmetry constraint are continuously traversed in sequence to obtain the second grid line matched with the curved surface S1; for example, after traversing, obtaining a second grid line matched with the first grid line in the curved surface S3, and then obtaining node information corresponding to a starting point, a middle point and a terminal point of the second grid line in the curved surface S3 by index, and recording the node information in a second array arrNode 2; after indexes of nodes in the curved surface S1 and the curved surface S3 are obtained, traversing the first array arrNode1 and the second array arrNode2, judging whether the corresponding node pairs need to apply the cyclic symmetry constraint one by one in sequence according to index numbers of the nodes stored in the first array arrNode1 and the second array arrNode2, if the cyclic symmetry constraint needs to be applied, applying the cyclic symmetry constraint condition on the main node, and if the corresponding node pairs do not need to apply the cyclic constraint, continuing to judge whether the other corresponding node pairs need to apply the cyclic constraint condition. In the embodiment of the invention, the node with the small index number in the corresponding two nodes in the first array arrNode1 and the second array arrNode2 is defined as the main node.
For the above embodiments, in some examples, the obtaining node information to which the coupling constraint is applied according to the set second index rule to apply the coupling constraint according to the simulation condition requirement to the grid model to which the cyclic symmetry constraint has been applied, so as to obtain the finite element simulation model includes:
after the cyclic symmetry constraint is applied to the grid model, searching the curved surface according to the name of the curved surface applying the coupling constraint to obtain the information of the vertexes of all grids generated on the curved surface in an index manner; wherein, the information of the vertex at least comprises the index number and the coordinate data of the vertex;
storing information of vertices of all grids generated on the curved surface in a point set;
and searching the vertex needing to be constrained in the point set according to the index number of the vertex based on the simulation working condition requirement so as to apply coupling constraint.
It will be appreciated that after the cyclic symmetry constraint is applied, a coupling constraint may be applied to the mesh model; for example, as shown in fig. 13 and 14, the curved surface is searched according to the name of the curved surface to which the coupling constraint is applied, for example, the curved surface S5 and the curved surface S6 correspond to the bottom surface of the edge plate and the top surface of the tip shroud respectively, then the information of the vertexes of all grids generated on the curved surface S5 and the curved surface S6 is obtained by indexing, and the index numbers of all vertexes in the point set are recorded; then, in the constraint application process, grid vertices generated on the curved surface S5 and the curved surface S6 can be found according to the index number to apply coupling constraint information, for example, a specific application mode of the coupling constraint can be shown as shown in fig. 15, so as to obtain a finite element simulation model.
It should be noted that, in the implementation process, coupling constraint may be applied to the mesh model first, and then corresponding cyclic symmetry constraint may be applied, which is not limited in particular by the embodiment of the present invention.
In addition, in the embodiment of the invention, no material attribute is applied to each component in the grid model, and the material attribute corresponding to each component can be added in subsequent simulation analysis software.
Based on the same inventive concept as the previous technical solution, referring to fig. 16, there is shown a composition of an apparatus 160 for finite element modeling of an axial flow impeller according to an embodiment of the present invention, where the apparatus includes 160: a setting section 1601, a dividing section 1602, and an applying section 1603; wherein,
the setting section 1601 is configured to set a mesh size of a part to be divided according to a geometric feature of the part to be divided; the part to be divided is a circularly symmetrical section of the integral axial flow impeller;
the dividing section 1602 is configured to mesh-divide the part to be divided based on a mesh size of the part to be divided to generate a mesh model, and acquire mesh information from the mesh model;
the applying section 1603 is configured to acquire node information to which constraints are applied in accordance with a set index rule based on the mesh information to apply constraints to the mesh model to obtain a finite element simulation model.
In the above aspect, the setting section 1601 is configured to:
naming each curved surface in the part to be divided according to a set naming rule;
searching a corresponding curved surface through the name of the curved surface to determine the geometric characteristics of the curved surface;
and setting corresponding grid dimensions based on the geometric characteristics of the curved surface.
In the above aspect, the dividing portion 1602 is configured to:
the grid information comprises information of each grid cell, wherein the information of each grid cell comprises information of vertexes corresponding to the grid cell and information of midpoints of connecting lines of vertexes of the grid cell; the information of the middle point of the connecting line of each vertex of the grid unit is obtained by calculation according to the information of each vertex of the grid unit; the information of the vertex at least comprises an index number and coordinate data of the vertex.
In the above aspect, the applying portion 1603 is configured to:
based on the grid information, node information applying cyclic symmetry constraint is obtained according to a set first index rule so as to apply cyclic symmetry constraint to the grid model according to the structural characteristics of the axial flow impeller;
and obtaining node information applying coupling constraint according to a set second index rule for the grid model applied with the cyclic symmetry constraint so as to apply the coupling constraint according to the simulation working condition requirement, thereby obtaining the finite element simulation model.
In the above aspect, the applying portion 1603 is configured to:
after the grid model is generated, determining the number of vertexes of each curved surface applying the cyclic symmetry constraint as the number of nodes applying the cyclic symmetry constraint according to the names of the curved surfaces applying the cyclic symmetry constraint;
traversing a first grid line on a first curved surface, and indexing node information corresponding to a starting point, a middle point and a terminal point of the first grid line to record the node information into a first array arrNode 1;
traversing a second curved surface to find a second grid line that matches the first grid line;
if a second grid line matched with the first grid line is found in the second curved surface, node information corresponding to the starting point, the middle point and the end point of the second grid line is indexed and recorded in a second array arrNode 2;
traversing the first array arrNode1 and the second array arrNode2, and judging whether the corresponding nodes in the first array arrNode1 and the second array arrNode2 need to apply cyclic symmetry constraint according to the index numbers of the nodes respectively stored in the first array arrNode1 and the second array arrNode 2; and if the cyclic symmetry constraint condition needs to be applied, applying the cyclic constraint condition to the corresponding nodes in the first array arrNode1 and the second array arrNode 2.
In the above aspect, the applying portion 1603 is configured to:
the circularly symmetric constraint is applied to the master node; wherein, the node with the small index number in the two nodes applying the cyclic symmetry constraint is defined as the main node.
In the above aspect, the applying portion 1603 is configured to:
after the cyclic symmetry constraint is applied to the grid model, searching the curved surface according to the name of the curved surface applying the coupling constraint to obtain the information of the vertexes of all grids generated on the curved surface in an index manner;
storing information of vertices of all grids generated on the curved surface in a point set;
and searching the vertex needing to be constrained in the point set according to the index number of the vertex based on the simulation working condition requirement so as to apply coupling constraint.
It will be appreciated that in this embodiment, a "part" may be a part of a circuit, a part of a processor, a part of a program or software, etc., and of course may be a unit, or a module may be non-modular.
In addition, each component in the present embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional modules.
The integrated units, if implemented in the form of software functional modules, may be stored in a computer-readable storage medium, if not sold or used as separate products, and based on such understanding, the technical solution of the present embodiment may be embodied essentially or partly in the form of a software product, which is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or processor to perform all or part of the steps of the method described in the present embodiment. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The present embodiment thus provides a computer storage medium storing a program for finite element modeling of an axial flow impeller, which when executed by at least one processor implements the method steps of finite element modeling of an axial flow impeller in the above-described technical solution.
Referring to fig. 17, which shows a specific hardware structure of a computing device 170 of an apparatus 160 capable of implementing the axial impeller finite element modeling described above according to the apparatus 160 and a computer storage medium of the axial impeller finite element modeling described above, the computing device 170 may be a wireless apparatus, a mobile or cellular phone (including a so-called smart phone), a Personal Digital Assistant (PDA), a video game console (including a video display, a mobile video game apparatus, a mobile video conference unit), a laptop computer, a desktop computer, a television set-top box, a tablet computing apparatus, an electronic book reader, a fixed or mobile media player, and the like. The computing device 170 includes: a communication interface 1701, a memory 1702 and a processor 1703; the various components are coupled together by a bus system 1704. It is appreciated that the bus system 1704 is used to implement a connected communication between these components. The bus system 1704 includes a power bus, a control bus, and a status signal bus in addition to the data bus. But for clarity of illustration, the various buses are labeled as bus system 1704 in fig. 17. Wherein,
The communication interface 1701 is configured to receive and send signals during the process of receiving and sending information with other external network elements;
the memory 1702 for storing a computer program capable of running on the processor 1703;
the processor 1703 is configured to perform the following steps when executing the computer program:
setting the grid size of the part to be divided according to the geometric characteristics of the part to be divided; the part to be divided is a circularly symmetrical section of the integral axial flow impeller;
based on the grid size of the to-be-divided parts, performing grid division on the to-be-divided parts to generate grid information;
based on the grid information, node information subjected to constraint is obtained according to a set index rule so as to apply constraint on the grid model, and therefore the finite element simulation model is obtained.
It is to be appreciated that the memory 1702 in embodiments of the present invention can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (Double Data Rate SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and Direct RAM (DRRAM). The memory 1702 of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
And the processor 1703 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the methods described above may be performed by integrated logic circuitry in hardware or instructions in software in the processor 1703. The processor 1703 may be a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 1702 and the processor 1703 reads information in the memory 1702 and performs the steps of the method described above in conjunction with its hardware.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For a hardware implementation, the processing units may be implemented within one or more application specific integrated circuits (Application Specific Integrated Circuits, ASIC), digital signal processors (Digital Signal Processing, DSP), digital signal processing devices (DSP devices, DSPD), programmable logic devices (Programmable Logic Device, PLD), field programmable gate arrays (Field-Programmable Gate Array, FPGA), general purpose processors, controllers, microcontrollers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Specifically, the processor 1703 is further configured to execute the method steps of the axial flow impeller finite element modeling in the foregoing technical solution when executing the computer program, which is not described herein.
It should be noted that: the technical schemes described in the embodiments of the present invention may be arbitrarily combined without any collision.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A method of finite element modeling of an axial flow impeller, the method comprising:
setting the grid size of the part to be divided according to the geometric characteristics of the part to be divided; the part to be divided is a circularly symmetrical section of the integral axial flow impeller;
based on the grid size of the to-be-divided parts, performing grid division on the to-be-divided parts to generate a grid model, and acquiring grid information from the grid model;
based on the grid information, node information subjected to constraint is obtained according to a set index rule so as to apply constraint on the grid model, and therefore a finite element simulation model is obtained;
Wherein, according to the geometric characteristics of the part to be divided, the mesh size of the part to be divided is set, including:
naming each curved surface in the part to be divided according to a set naming rule;
searching a corresponding curved surface through the name of the curved surface to determine the geometric characteristics of the curved surface;
setting corresponding grid dimensions based on geometric features of the curved surface;
the step of obtaining node information applying constraints according to a set index rule based on the grid information to apply constraints to the grid model so as to obtain a finite element simulation model, comprising the following steps:
based on the grid information, node information applying cyclic symmetry constraint is obtained according to a set first index rule so as to apply cyclic symmetry constraint to the grid model according to the structural characteristics of the axial flow impeller;
and obtaining node information applying coupling constraint according to a set second index rule for the grid model applied with the cyclic symmetry constraint so as to apply the coupling constraint according to the simulation working condition requirement, thereby obtaining the finite element simulation model.
2. The method of claim 1, wherein the grid information includes information of each grid cell, and the information of the grid cell includes information of vertices corresponding to the grid cell and information of midpoints of connection lines of vertices of the grid cell; the information of the middle point of the connecting line of each vertex of the grid unit is obtained by calculation according to the information of each vertex of the grid unit; the information of the vertex at least comprises an index number and coordinate data of the vertex.
3. The method of claim 1, wherein the obtaining node information for applying a cyclic symmetry constraint according to a set first indexing rule based on the grid information to apply a cyclic symmetry constraint to the grid model according to structural features of the axial flow impeller comprises:
after the grid model is generated, determining the number of vertexes of each curved surface applying the cyclic symmetry constraint as the number of nodes applying the cyclic symmetry constraint according to the names of the curved surfaces applying the cyclic symmetry constraint;
traversing a first grid line on a first curved surface, and indexing node information corresponding to a starting point, a middle point and a terminal point of the first grid line to record the node information into a first array arrNode 1;
traversing a second curved surface to find a second grid line that matches the first grid line;
if a second grid line matched with the first grid line is found in the second curved surface, node information corresponding to the starting point, the middle point and the end point of the second grid line is indexed and recorded in a second array arrNode 2;
traversing the first array arrNode1 and the second array arrNode2, and judging whether the corresponding nodes in the first array arrNode1 and the second array arrNode2 need to apply cyclic symmetry constraint according to the index numbers of the nodes respectively stored in the first array arrNode1 and the second array arrNode 2; and if the cyclic symmetry constraint condition needs to be applied, applying the cyclic constraint condition to the corresponding nodes in the first array arrNode1 and the second array arrNode 2.
4. A method according to claim 3, wherein the circularly symmetric constraint is imposed on a master node; wherein, the node with the small index number in the two nodes applying the cyclic symmetry constraint is defined as the main node.
5. The method according to claim 1, wherein the obtaining node information to which the coupling constraint is applied according to the set second index rule to apply the coupling constraint according to the simulation condition requirement to the mesh model to which the cyclic symmetry constraint has been applied, thereby obtaining the finite element simulation model includes:
after the cyclic symmetry constraint is applied to the grid model, searching the curved surface according to the name of the curved surface applying the coupling constraint to obtain the information of the vertexes of all grids generated on the curved surface in an index manner;
storing information of vertices of all grids generated on the curved surface in a point set;
and searching the vertex needing to be constrained in the point set according to the index number of the vertex based on the simulation working condition requirement so as to apply coupling constraint.
6. An apparatus for finite element modeling of an axial flow impeller, the apparatus comprising: a setting section, a dividing section, and an applying section; wherein,
The setting part is configured to set the grid size of the part to be divided according to the geometric characteristics of the part to be divided; the part to be divided is a circularly symmetrical section of the integral axial flow impeller;
the dividing part is configured to divide the grids of the parts to be divided based on the grid sizes of the parts to be divided to generate a grid model, and acquire grid information from the grid model;
the application part is configured to acquire node information for applying constraint according to a set index rule based on the grid information so as to apply constraint on the grid model and obtain a finite element simulation model;
wherein the setting section is configured to:
naming each curved surface in the part to be divided according to a set naming rule;
searching a corresponding curved surface through the name of the curved surface to determine the geometric characteristics of the curved surface;
setting corresponding grid dimensions based on geometric features of the curved surface;
wherein the application portion is configured to:
based on the grid information, node information applying cyclic symmetry constraint is obtained according to a set first index rule so as to apply cyclic symmetry constraint to the grid model according to the structural characteristics of the axial flow impeller;
And obtaining node information applying coupling constraint according to a set second index rule for the grid model applied with the cyclic symmetry constraint so as to apply the coupling constraint according to the simulation working condition requirement, thereby obtaining the finite element simulation model.
7. An apparatus for finite element modeling of an axial flow impeller, the apparatus comprising: a communication interface, a memory and a processor; the components are coupled together by a bus system; wherein,
the communication interface is used for receiving and transmitting signals in the process of receiving and transmitting information with other external network elements;
the memory is used for storing a computer program capable of running on the processor;
the processor for performing the method steps of the axial flow impeller finite element modeling of any one of claims 1 to 5 when running the computer program.
8. A computer storage medium, characterized in that it has a program for finite element modeling of an axial flow impeller, which when executed by at least one processor implements the method steps of finite element modeling of an axial flow impeller according to any one of claims 1 to 5.
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