CN111291433A - Data conversion method and device for MCNP three-dimensional pretreatment - Google Patents

Abstract

The invention provides a data conversion method and a data conversion device for MCNP (multi-core network processor) three-dimensional pretreatment, wherein the method comprises the following steps: obtaining a CAD part model of a product to be processed as a geometric model to be processed, and creating a root node of a semi-space CSG tree; identifying the target geometric body characteristics of the geometric model to be processed, and carrying out recursive decomposition according to a preset geometric body characteristic priority order and a decomposition algorithm to obtain a plurality of leaf nodes of the semi-space CSG tree; when the type of the current conversion meta-entity of the leaf node is determined to be a complete conversion meta-entity, generating an MCNP (multi-level search network) half-space expression of the leaf node; otherwise, adding a half-space auxiliary surface to the incomplete conversion element entity and generating an MCNP half-space expression of the leaf node; and further determining the MCNP half-space expression corresponding to the CAD part model. The invention avoids high difficulty and low efficiency when MCNP directly carries out three-dimensional modeling, and ensures the accuracy of the final result while improving the working efficiency.

Description

A data conversion method and device for MCNP three-dimensional preprocessing

technical field

The invention relates to the technical field of computer information, in particular to a data conversion method and device for MCNP three-dimensional preprocessing.

Background technique

Monte Carlo N Particle Transport Code (MCNP for short) is widely used in the nuclear field, but it is difficult and inefficient to directly perform 3D modeling with MCNP. , referred to as CAD) has a mature and efficient 3D modeling method, but the built model cannot be directly applied. The current technical personnel have carried out research on model conversion, but only simple model conversion can be achieved, but complex model conversion cannot be realized. Makes work less efficient.

SUMMARY OF THE INVENTION

The technical purpose to be achieved by the embodiments of the present invention is to provide a data conversion method and device for MCNP three-dimensional pre-processing, which is used to solve the difficulty and low efficiency of the current MCNP direct three-dimensional modeling, and the conversion from CAD model to MCNP model. problems of low work efficiency and high error rate.

In order to solve the above-mentioned technical problems, the embodiment of the present invention provides a data conversion method for MCNP three-dimensional preprocessing, including:

Obtain the CAD part model of the product to be processed as the geometric model to be processed, and create the root node of the half-space Constructive Solid Geometry (CSG) tree according to the CAD part model;

Identify the target geometry feature of the geometric model to be processed, and perform recursive decomposition according to the target geometry feature and the preset priority order of the geometry feature and the corresponding decomposition algorithm, to obtain multiple leaf nodes of the half-space CSG tree;

Traverse the leaf nodes of the half-space CSG tree, and determine the type of transformation meta-entity corresponding to each leaf node;

When it is determined that the type of the current conversion meta-entity is a fully converted meta-entity, the Monte Carlo particle transport calculation program MCNP half-space expression of the leaf node is generated; when it is determined that the type of the current conversion meta-entity is an incomplete conversion meta-entity, the Incomplete transformation of meta-entities adds half-space auxiliary surfaces, and generates MCNP half-space expressions for leaf nodes;

According to the MCNP half-space expression of each leaf node and the regular Boolean operation type of each branch of the half-space CSG tree, the MCNP half-space expression corresponding to the CAD part model is determined.

Preferably, the above-mentioned data conversion method performs recursive decomposition according to the target geometry feature, the preset geometry feature priority order and the corresponding decomposition algorithm, and the steps of obtaining multiple leaf nodes of the half-space CSG tree include:

Identify and judge the target geometric features in sequence according to the priority order of the geometric features;

When it is determined according to the judgment result that the target geometric feature has the current geometric feature in the priority order of the geometric feature, the geometric model to be processed is spatially decomposed using the corresponding decomposition algorithm according to the type of the current geometric feature to obtain at least two sub-geometry, and the sub-geometry Take the geometric models to be processed in sequence, and after identifying the target geometric body features of the geometric model to be processed, perform the steps of identifying and judging the target geometric body features in sequence according to the priority order of the geometric body features;

When it is determined according to the judgment result that the target geometric features do not have the geometric features in the priority order of the geometric features, it is determined that the to-be-processed geometric model corresponding to the target geometric features is a conversion element entity of a leaf node.

Specifically, in the above data conversion method, the priority of geometric features in the priority order of geometric features is: inner shell feature, inner ring convex feature, inner ring non-penetrating concave feature, inner ring penetrating concave feature , the outer ring convex features.

Preferably, in the above-mentioned data conversion method, the step of judging the type of the conversion meta-entity corresponding to each leaf node comprises:

Obtain the surface set of the transformed meta-entity, where the surface set includes the surface corresponding to each natural surface of the transformed meta-entity;

If the transformation meta-entity can be completely described by the half-space of the surface set, the transformation meta-entity is determined to be a complete transformation meta-entity; otherwise, the transformation meta-entity is determined to be an incomplete transformation meta-entity.

Specifically, in the data conversion method described above, the step of adding a half-space auxiliary surface to the incompletely converted meta-entity includes:

Gets all bounded surfaces of incompletely transformed meta-solids, and determines where to add half-space auxiliary surfaces according to the type of intersection between bounded surfaces.

Specifically, in the above data conversion method, when acquiring the CAD part model of the product to be processed, if the CAD assembly model is obtained, the CAD assembly model is processed according to the assembly tree to obtain each CAD part model.

Further, the above-mentioned data conversion method also includes:

According to the corresponding MCNP half-space expression of each CAD part model and the half-space CSG decomposition tree, the MCNP half-space expression corresponding to the CAD assembly model is determined.

Another preferred embodiment of the present invention also provides a data conversion device for MCNP three-dimensional preprocessing, including:

The first processing module is used to obtain the CAD part model of the product to be processed as the geometric model to be processed, and create the root node of the half-space CSG tree according to the CAD part model;

The second processing module is used to identify the target geometry feature of the geometric model to be processed, and perform recursive decomposition according to the target geometry feature, the preset priority order of the geometry feature and the corresponding decomposition algorithm, and obtain multiple leaf nodes of the half-space CSG tree ;

The third processing module is used to traverse the leaf nodes of the half-space CSG tree, and determine the type of the transformation meta-entity corresponding to each leaf node;

The fourth processing module is used to generate the MCNP half-space expression of the leaf node when it is determined that the type of the current conversion meta-entity is a complete conversion meta-entity; when it is determined that the type of the current conversion meta-entity is an incomplete conversion meta-entity, the Completely transform meta-entities to add half-space auxiliary surfaces and generate MCNP half-space expressions for leaf nodes;

The fifth processing module is used for determining the MCNP half-space expression corresponding to the CAD part model according to the MCNP half-space expression of each leaf node and the regular Boolean operation type of each branch of the half-space CSG tree.

Preferably, in the above-mentioned data conversion device, the second processing module includes:

The first processing unit is used for identifying and judging the target geometric body features in sequence according to the priority order of the geometric body features;

The second processing unit is configured to use a corresponding decomposition algorithm to spatially decompose the geometric model to be processed according to the type of the current geometric feature when it is determined that the target geometric feature has a current geometric feature in the priority order of the geometric feature, and obtain at least For two sub-geometry bodies, the sub-geometry bodies are sequentially regarded as the geometric model to be processed, and after identifying the target geometric body features of the geometric model to be processed, the steps of identifying and judging the target geometric body features according to the priority order of the geometric body features are performed again;

The third processing unit is configured to determine that the to-be-processed geometric model corresponding to the target geometric feature is a conversion meta-entity of a leaf node when it is determined that the target geometric feature does not have a geometric feature in the priority order of the geometric feature according to the judgment result.

Specifically, in the above-mentioned data conversion device, the priorities of geometric features in the priority order of geometric features are: inner shell feature, inner ring convex feature, inner ring non-penetrating concave feature, inner ring penetrating concave feature , the outer ring convex features.

Preferably, in the above-mentioned data conversion device, the third processing module includes:

a fourth processing unit, configured to obtain a surface set of the conversion meta-entity, where the surface set includes a curved surface corresponding to each natural surface of the conversion meta-entity;

The fifth processing unit is configured to determine that the transformation meta-entity is a complete transformation meta-entity if the transformation meta-entity can be completely described by the half-space of the surface set; otherwise, determine that the transformation meta-entity is an incomplete transformation meta-entity.

Specifically, in the above-mentioned data conversion device, the fourth processing module includes:

The sixth processing unit acquires all the bounded surfaces of the incompletely transformed meta-entity, and determines the adding positions of the half-space auxiliary surfaces according to the type of intersection between the bounded surfaces.

Specifically, the above data conversion device, the first processing module, is further configured to process the CAD assembly model according to the assembly tree to obtain each CAD part model if the CAD assembly model is obtained.

Further, the above-mentioned data conversion device also includes:

The sixth processing module is used for determining the MCNP half-space expression corresponding to the CAD assembly model according to the corresponding MCNP half-space expression and the assembly tree of each CAD part model.

Another preferred embodiment of the present invention also provides a host computer, which includes a processor, a memory, and a computer program stored in the memory and running on the processor. When the computer program is executed by the processor, the above MCNP three-dimensional Process the steps of the transform method.

Yet another preferred embodiment of the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the steps of the above conversion method for MCNP three-dimensional preprocessing.

Compared with the prior art, a conversion method and device for MCNP three-dimensional pre-processing provided by the embodiment of the present invention have at least the following beneficial effects:

When MCNP modeling is performed on an object, the invention first establishes a CAD model according to the actual structure of the object, and then converts the CAD model into an MCNP half-space CSG model according to the CAD model, thereby avoiding the high difficulty and low efficiency when MCNP directly performs three-dimensional modeling. . In a specific embodiment of the present invention, the data conversion device will obtain the CAD part model of the product to be processed as the geometric model to be processed, and use it as the root node of the half-space CSG tree to start creating a half-space CSG tree, and then obtain the to-be-processed CSG tree. Processes the target geometry feature of the geometry model. The geometric model to be processed is recursively decomposed according to the target geometric features of the geometric model to be processed, the preset priority order of geometric features and the corresponding decomposition algorithm, and the geometric model to be processed is decomposed into multiple simple geometric bodies, which are used as half-space CSG The leaf nodes of the tree are easy to convert from CAD model to MCNP half-space model, reduce the amount of calculation, and improve the efficiency of MCNP half-space model establishment. In order to ensure that simple geometry can be correctly represented by the MCNP half-space model, the type of transformation meta-entity corresponding to each leaf node is also judged. Only when the transformation meta-entity is a complete transformation element that can be completely described by the half-space of its surface set The MCNP half-space expression is directly generated when the entity is a solid. If the conversion meta-entity is an incomplete conversion meta-entity that cannot be fully described by the half-space of its surface set, it is necessary to add a half-space auxiliary surface to make the conversion meta-entity in its surface set and half-space. On the basis of the auxiliary edge of space, it is equivalent to a complete transformation of the meta-entity, and then the corresponding MCNP half-space expression is generated, which is beneficial to ensure that the MCNP half-space corresponding to the CAD part model is finally determined according to the MCNP half-space expression of each leaf node. The expression is a sufficient surface set of the CAD part model, which ensures the accuracy of the MCNP half-space expression corresponding to the obtained CAD part model.

Description of drawings

Fig. 1 is one of the schematic flow charts of the data conversion method of MCNP three-dimensional preprocessing of the present invention;

Fig. 2 is the second schematic flow chart of the data conversion method of MCNP three-dimensional preprocessing of the present invention;

Fig. 3 is the third schematic flow chart of the data conversion method of MCNP three-dimensional preprocessing of the present invention;

FIG. 4 is a schematic structural diagram of a data conversion device for MCNP three-dimensional preprocessing according to the present invention.

Detailed ways

In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, the following will be described in detail with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided merely to assist in a comprehensive understanding of embodiments of the present invention. Accordingly, it should be apparent to those skilled in the art that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

It is to be understood that reference throughout the specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic associated with the embodiment is included in at least one embodiment of the present invention. Thus, appearances of "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily necessarily referring to the same embodiment. Furthermore, the particular features, structures or characteristics may be combined in any suitable manner in one or more embodiments.

In various embodiments of the present invention, it should be understood that the size of the sequence numbers of the following processes does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, rather than the implementation of the present invention The implementation of the examples constitutes no limitation.

It should be understood that the term "and/or" in this document is only an association relationship to describe associated objects, indicating that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, and A and B exist at the same time , there are three cases of B alone. In addition, the character "/" in this document generally indicates that the related objects are an "or" relationship.

In the embodiments provided in this application, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean that B is only determined according to A, and B may also be determined according to A and/or other information.

Referring to Fig. 1, a preferred embodiment of the present invention provides a data conversion method for MCNP three-dimensional pre-processing, including:

Step S101, obtaining the CAD part model of the product to be processed as the geometric model to be processed, and creating the root node of the half-space CSG tree according to the CAD part model;

Step S102, identifying the target geometric body feature of the geometric model to be processed, and performing recursive decomposition according to the target geometric body feature and the preset priority order of the geometric body feature and the corresponding decomposition algorithm, to obtain a plurality of leaf nodes of the half-space CSG tree;

Step S103, traverse the leaf nodes of the half-space CSG tree, and judge the type of the conversion meta-entity corresponding to each leaf node;

Step S104, when it is determined that the type of the current conversion meta-entity is the complete conversion meta-entity, the MCNP half-space expression of the leaf node is generated; when it is determined that the type of the current conversion meta-entity is the incomplete conversion meta-entity, the incomplete conversion meta-entity is not completely converted. Add half-space auxiliary surfaces, and generate MCNP half-space expressions for leaf nodes;

Step S105: Determine the MCNP half-space expression corresponding to the CAD part model according to the MCNP half-space expression of each leaf node and the regular Boolean operation type of each branch of the half-space CSG tree.

In the embodiment of the present invention, when MCNP modeling is performed on an object, a CAD model is first established according to the actual structure of the object, and then converted into a MCNP half-space model according to the CAD model, which avoids the need for MCNP to directly perform three-dimensional modeling. High difficulty and low efficiency. In a specific embodiment of the present invention, the data conversion device will obtain the CAD part model of the product to be processed as the geometric model to be processed, and use it as the root node of the half-space CSG tree to start creating a half-space CSG tree, and then obtain the to-be-processed CSG tree. The target geometry feature of the geometric model is processed, and the target geometry feature is classified according to the topological relationship of the body, shell, face, ring and edge in the boundary representation of the geometry (geometric model to be processed). Then, recursively decompose the geometric model to be processed according to the target geometric features of the geometric model to be processed, the preset priority order of geometric features and the corresponding decomposition algorithm, and decompose the geometric model to be processed into a plurality of simple geometric bodies, which are used as half-space CSG. The leaf nodes of the tree are easy to convert from CAD model to MCNP half-space model, reduce the amount of calculation, and improve the efficiency of MCNP half-space model establishment. In order to ensure that simple geometry can be correctly described by the MCNP half-space model, the type of transformation meta-entity corresponding to each leaf node is also determined. The MCNP half-space expression is directly generated when the entity is a solid. If the conversion meta-entity is an incomplete conversion meta-entity that cannot be fully described by the half-space of its surface set, it is necessary to add a half-space auxiliary surface to make the conversion meta-entity in its surface set and half-space. On the basis of the auxiliary edge of space, it is equivalent to a complete transformation of the meta-entity, and then the corresponding MCNP half-space expression is generated, which is beneficial to ensure that the MCNP half-space corresponding to the CAD part model is finally determined according to the MCNP half-space expression of each leaf node. The expression is a sufficient surface set of the CAD part model, which ensures the accuracy of the MCNP half-space expression corresponding to the obtained CAD part model.

Among them, the surface set of a CAD geometric entity is the set of surfaces corresponding to all the natural surfaces of the CAD geometric entity; the natural surface is a boundary surface of the CAD geometric entity, and its range is between the outer ring and the inner ring in the boundary representation of the geometric entity Each natural surface uniquely corresponds to a surface, and the natural surface is included in the surface; when each point in the CAD geometric entity is in the positive half space or negative half space of each surface set on its surface, the CAD geometry The entity is the transformation element entity; if the incomplete transformation element entity can be completely described by the half space of its surface set by dividing the half space of one or more surfaces, the surface is a half space auxiliary surface; when the CAD geometric entity When the meta-entity is fully converted, the sufficient surface set is its surface set, and when the CAD geometric entity is an incompletely converted meta-entity, the sufficient surface set is its surface set and half-space auxiliary surface.

Referring to Fig. 2, preferably, the above-mentioned data conversion method performs recursive decomposition according to the target geometry feature, the preset geometry feature priority order and the corresponding decomposition algorithm, and obtains the step S102 of multiple leaf nodes of the half-space CSG tree include:

Step S201, identifying and judging the target geometric body features in sequence according to the priority order of the geometric body features;

Step S202, when it is determined according to the judgment result that the target geometry feature has the current geometry feature in the geometry feature priority order, the geometry model to be processed is spatially decomposed using a corresponding decomposition algorithm according to the type of the current geometry feature, and at least two sub-geometry are obtained, The sub-geometry is taken as the geometric model to be processed in turn, and after identifying the target geometric feature of the geometric model to be processed, the steps of identifying and judging the target geometric feature according to the priority order of the geometric feature are performed again;

Step S203 , when it is determined according to the judgment result that the target geometric body features do not have the geometric body features in the priority order of the geometric body features, determine that the to-be-processed geometric model corresponding to the target geometric body features is a conversion element entity of a leaf node.

In the embodiment of the present invention, when the geometric model to be processed is recursively decomposed, firstly, the target geometric body features are identified and judged according to the priority order of the geometric body features. The processing of the geometric model needs to be decomposed. At this time, according to the type of the current geometry feature, the corresponding decomposition algorithm is used to decompose the geometric model to be processed spatially to obtain at least two sub-modules. Geometric features, after obtaining the target geometric features, perform the above steps of identifying and judging the target geometric features in sequence according to the priority order of the geometric features again; when it is determined that the target geometric features do not have any geometric features in the priority order of the geometric features When it is determined that the current geometric model to be processed does not need to be decomposed, it can be determined that the model corresponding to the target geometric feature is a conversion meta-entity of a leaf node.

Specifically, in the above data conversion method, the priority of geometric features in the priority order of geometric features is: inner shell feature, inner ring convex feature, inner ring non-penetrating concave feature, inner ring penetrating concave feature , the outer ring convex features.

In the embodiment of the present invention, a priority order of geometric body features is given, wherein the order of priority from high to low is the inner shell feature, the inner ring convex feature, the inner ring non-penetrating concave feature, and the inner ring penetrating feature. Concave feature, outer ring convex feature, it should be noted that the above-mentioned geometric feature priority order is only a preferred priority order of the present invention, and those skilled in the art can use other names to define features and/or The modification order all belong to the protection scope of the present invention. When identifying and judging the target geometric body feature according to the priority order of the geometric body feature, specifically, the inner shell feature is firstly used as the current geometric body feature, and if the target geometric body feature includes the inner shell feature, step S202 is executed, When the inner shell feature is not included in the feature, the inner ring convex feature in the next order is used as the current geometric body feature. If the target geometric body feature includes the inner ring convex feature, step S202 is executed. If the inner ring convex feature is not included in the target geometry feature When a ring convex feature is used, the inner ring non-penetrating concave feature in the next order is used as the current geometric feature again, until all geometric features in the entire geometric feature priority order are recognized.

Specifically, when performing the step of spatially decomposing the geometrical model to be processed according to the type of the current geometrical feature and the corresponding decomposition algorithm, if the current geometrical feature is an inner shell feature, the geometrical model to be processed is a cube and a cuboid is set inside it. Take the shell as an example. At this time, a cuboid is filled according to the closed interval formed by the inner shell surface, and decomposed by subtracting the filled cube to obtain a cube and a cuboid; if the current geometry feature is an inner ring convex feature, wait for the The processing geometric model is a cube with a cuboid set on it as an example. At this time, according to the inner ring boundary component of the surface, the surface card is decomposed into a cube and a cuboid through the surface card; if the current geometry feature is the inner ring non-penetrating For concave features, take the geometric model to be processed as an example with a trapezoidal hole in a cube. At this time, according to the surface connectivity graph connected by the inner ring boundary curve, the closed area is formed and filled to generate a stepped axis, which is subtracted from the filled cube. Decompose to get a cube and a stepped axis. Since the methods of the inner ring penetrating concave feature and the inner ring non-penetrating concave feature are similar, and the decomposition algorithms of the outer ring convex feature and the inner ring convex feature are similar, they will not be repeated here.

Referring to Fig. 3, preferably, in the above-mentioned data conversion method, the step S103 of judging the type of the conversion meta-entity corresponding to each leaf node includes:

Step S301, acquiring a surface set of the conversion meta-entity, the surface set including a curved surface corresponding to each natural surface of the conversion meta-entity;

Step S302, if the transformation meta-entity can be completely described by the half-space of the surface set, the transformation meta-entity is determined to be a complete transformation meta-entity; otherwise, the transformation meta-entity is determined to be an incomplete transformation meta-entity.

In the embodiment of the present invention, when judging the type of the conversion meta-entity corresponding to the leaf node, the surface set of the conversion meta-entity will be obtained, and then according to whether the conversion meta-entity can be completely described by the half-space of the surface set, it is determined that the conversion meta-entity is Whether it is a fully converted meta-entity, it is convenient for subsequent determination of whether to add a half-space auxiliary surface to ensure the accuracy of the final MCNP half-space expression. Specifically, in the data conversion method described above, the step of adding a half-space auxiliary surface to the incompletely converted meta-entity includes:

Gets all bounded surfaces of incompletely transformed meta-solids, and determines where to add half-space auxiliary surfaces according to the type of intersection between bounded surfaces.

In the embodiment of the present invention, when adding a half-space auxiliary surface to an incompletely transformed meta-entity, firstly, all bounded surfaces of the incompletely transformed meta-entity are acquired, and it is judged whether the two bounded surfaces intersect according to the positional relationship between the two bounded surfaces. , and determine whether to add a half-space auxiliary surface here according to the intersection type between the intersecting bounded surfaces. Specifically, a specific embodiment of the present invention provides the addition relationship between the surface intersection type and the half-space auxiliary surface, which includes : When the plane is tangent to a cylindrical surface, a conical surface or a torus, it is determined that a half-space auxiliary surface needs to be added; when a spherical surface intersects with a cylindrical surface, a conical surface or an elliptical torus, it is determined that a half-space auxiliary surface needs to be added; when the cylindrical surface When intersecting with a conical surface, an elliptical torus or a torus, it is determined that a half-space auxiliary surface needs to be added; when an elliptical torus intersects with an elliptical torus or a torus, it is determined that a half-space auxiliary surface needs to be added; When the torus intersects, it is determined that a half-space helper surface needs to be added.

Optionally, under some geometric features, the half-space auxiliary surface may be a decomposed surface. Take a geometric body with a hemisphere set on a cylinder as an example. Tangent, since the torus is tangent to the cylindrical surface, the geometry is decomposed into cylinders and hemispheres. In order to avoid the infinite extension of the cylinder, it is necessary to add a half-space auxiliary surface, and at this time, the half-space auxiliary surface coincides with the decomposition surface of the geometry. .

Specifically, in the above data conversion method, when acquiring the CAD part model of the product to be processed, if the CAD assembly model is obtained, the CAD assembly model is processed according to the assembly tree to obtain each CAD part model.

Further, the above-mentioned data conversion method also includes:

According to the corresponding MCNP half-space expression of each CAD part model and the assembly tree, the MCNP half-space expression corresponding to the CAD assembly model is determined.

In the embodiment of the present invention, when the product to be processed is an assembly part, the CAD assembly model of the product to be processed is obtained first, and then the CAD assembly model is processed according to the assembly tree to obtain the CAD part model corresponding to each part , respectively take each CAD part model as the geometric model to be processed and perform the steps of the above method, after obtaining the corresponding MCNP half-space expression of each CAD part model, then combine the assembly tree to obtain the MCNP half-space corresponding to the CAD assembly model expression.

Referring to Figure 4, another preferred embodiment of the present invention also provides a data conversion device for MCNP three-dimensional preprocessing, including:

The first processing module 401 is used to obtain the CAD part model of the product to be processed as the geometric model to be processed, and create the root node of the half-space CSG tree according to the CAD part model;

The second processing module 402 is used to identify the target geometry feature of the geometric model to be processed, and perform recursive decomposition according to the target geometry feature, the preset priority order of the geometry feature, and the corresponding decomposition algorithm to obtain multiple leaves of the half-space CSG tree node;

The third processing module 403 is used for traversing the leaf nodes of the half-space CSG tree, and judging the type of the conversion meta-entity corresponding to each leaf node;

The fourth processing module 404 is used to generate the MCNP half-space expression of the leaf node when it is determined that the type of the current conversion meta-entity is the complete conversion meta-entity; when it is determined that the type of the current conversion meta-entity is the incomplete conversion meta-entity, to Incomplete transformation of meta-entities adds half-space auxiliary surfaces, and generates MCNP half-space expressions for leaf nodes;

The fifth processing module 405 is configured to determine the MCNP half-space expression corresponding to the CAD part model according to the MCNP half-space expression of each leaf node and the regular Boolean operation type of each branch of the half-space CSG tree.

Preferably, in the above-mentioned data conversion device, the second processing module includes:

The first processing unit is used for identifying and judging the target geometric body features in sequence according to the priority order of the geometric body features;

The second processing unit is configured to use a corresponding decomposition algorithm to spatially decompose the geometric model to be processed according to the type of the current geometric feature when it is determined that the target geometric feature has a current geometric feature in the priority order of the geometric feature, and obtain at least For two sub-geometry bodies, the sub-geometry bodies are sequentially regarded as the geometric model to be processed, and after identifying the target geometric body features of the sub-geometry bodies, the steps of identifying and judging the target geometric body features according to the priority order of the geometric body features are performed again;

The third processing unit is configured to determine that the to-be-processed geometric model corresponding to the target geometric feature is a conversion meta-entity of a leaf node when it is determined that the target geometric feature does not have a geometric feature in the priority order of the geometric feature according to the judgment result.

Specifically, in the above-mentioned data conversion device, the priorities of geometric features in the priority order of geometric features are: inner shell feature, inner ring convex feature, inner ring non-penetrating concave feature, inner ring penetrating concave feature , the outer ring convex features.

Preferably, in the above-mentioned data conversion device, the third processing module includes:

a fourth processing unit, configured to obtain a surface set of the conversion meta-entity, where the surface set includes a curved surface corresponding to each natural surface of the conversion meta-entity;

The fifth processing unit is configured to determine that the transformation meta-entity is a complete transformation meta-entity if the transformation meta-entity can be completely described by the half-space of the surface set; otherwise, determine that the transformation meta-entity is an incomplete transformation meta-entity.

Specifically, in the above-mentioned data conversion device, the fourth processing module includes:

The sixth processing unit acquires all the bounded surfaces of the incompletely transformed meta-entity, and determines the adding positions of the half-space auxiliary surfaces according to the type of intersection between the bounded surfaces.

Specifically, the above data conversion device, the first processing module, is further configured to process the CAD assembly model according to the assembly tree to obtain each CAD part model if the CAD assembly model is obtained.

Further, the above-mentioned data conversion device also includes:

The sixth processing module is used for determining the MCNP half-space expression corresponding to the CAD assembly model according to the corresponding MCNP half-space expression and the assembly tree of each CAD part model.

The embodiments of the data conversion apparatus of the present invention are apparatuses corresponding to the above-mentioned embodiments of the data conversion method. All implementation means in the above-mentioned data conversion method embodiments are applicable to the data conversion apparatus embodiments, and the same can also be achieved. technical effect.

Another preferred embodiment of the present invention also provides a host computer, which includes a processor, a memory, and a computer program stored in the memory and running on the processor. When the computer program is executed by the processor, the above MCNP three-dimensional Process the steps of the transform method.

Yet another preferred embodiment of the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the steps of the above conversion method for MCNP three-dimensional preprocessing.

Furthermore, the present invention may repeat reference numerals and/or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and/or arrangements discussed.

It should also be noted that in this document, relational terms such as first and second are used only to distinguish one entity or operation from another, and do not necessarily require or imply those entities or operations There is no such actual relationship or order between them. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion.

The above are the preferred embodiments of the present invention. It should be pointed out that for those skilled in the art, without departing from the principles of the present invention, several improvements and modifications can be made. These improvements and modifications It should also be regarded as the protection scope of the present invention.

Claims (10)

1. A data conversion method for MCNP three-dimensional preprocessing is characterized by comprising the following steps:

acquiring a CAD (computer aided design) part model of a product to be processed as a geometric model to be processed, and creating a root node of a semi-space structure entity geometric representation CSG tree according to the CAD part model;

identifying the target geometric body characteristics of the geometric model to be processed, and carrying out recursive decomposition according to the target geometric body characteristics, a preset geometric body characteristic priority order and a corresponding decomposition algorithm to obtain a plurality of leaf nodes of the semi-space CSG tree;

traversing leaf nodes of the semi-space CSG tree, and judging the type of a conversion element entity corresponding to each leaf node;

when the type of the conversion meta-entity is determined to be a complete conversion meta-entity, generating a Monte Carlo particle transport calculation program MCNP (modified Hocquengo) half-space expression of the leaf node; when the type of the current conversion element entity is determined to be an incomplete conversion element entity, adding a half-space auxiliary surface to the incomplete conversion element entity, and generating an MCNP half-space expression of the leaf node;

and determining the MCNP half-space expression corresponding to the CAD part model according to the MCNP half-space expression of each leaf node and the regular Boolean operation type of each branch of the half-space CSG tree.

2. The data conversion method according to claim 1, wherein the step of performing recursive decomposition according to the target geometry feature, a preset geometry feature priority order, and a corresponding decomposition algorithm to obtain a plurality of leaf nodes of the semi-space CSG tree comprises:

sequentially identifying and judging the target geometric body features according to the geometric body feature priority order;

when the current geometric body feature in the geometric body feature priority order is determined to be in the target geometric body feature according to the judgment result, performing spatial decomposition on the geometric model to be processed by adopting a corresponding decomposition algorithm according to the type of the current geometric body feature to obtain at least two sub geometric bodies, sequentially using the sub geometric bodies as the geometric model to be processed, and after the target geometric body feature of the geometric model to be processed is identified, executing the step of sequentially identifying and judging the target geometric body feature according to the geometric body feature priority order again;

and when determining that the target geometric solid features do not have geometric solid features in the geometric solid feature priority order according to the judgment result, determining that the geometric model to be processed corresponding to the target geometric solid features is a conversion element entity of the leaf node.

3. The data conversion method according to claim 2, wherein the geometric features in the geometric feature priority order have priorities from high to low as: an inner shell feature, an inner ring convex feature, an inner ring non-through concave feature, an inner ring through concave feature, and an outer ring convex feature.

4. The data conversion method according to claim 1, wherein the step of determining the type of the conversion meta-entity corresponding to each leaf node comprises:

acquiring a surface set of the conversion element entity, wherein the surface set comprises curved surfaces corresponding to each natural surface of the conversion element entity;

and if the conversion meta-entity can be completely described by the half space of the surface set, determining the conversion meta-entity to be a complete conversion meta-entity, otherwise, determining the conversion meta-entity to be an incomplete conversion meta-entity.

5. The data conversion method according to claim 4, wherein the step of adding a half-space auxiliary surface to the incomplete conversion meta-entity comprises:

and acquiring all the bounded curved surfaces of the incomplete conversion element entity, and determining the adding position of the semi-space auxiliary surface according to the intersection type of the bounded curved surfaces.

6. The data conversion method according to claim 1, wherein when a CAD part model of a product to be processed is obtained, if a CAD assembly model is obtained, the CAD assembly model is processed according to an assembly tree to obtain each CAD part model.

7. The data conversion method according to claim 6, further comprising:

and determining the MCNP half-space expression corresponding to the CAD assembly model according to the MCNP half-space expression corresponding to each CAD part model and the assembly tree.

8. A data conversion device for MCNP three-dimensional preprocessing is characterized by comprising:

the first processing module is used for acquiring a CAD part model of a product to be processed as a geometric model to be processed and creating a root node of a semi-space CSG tree according to the CAD part model;

the second processing module is used for identifying the target geometric body characteristics of the geometric model to be processed and carrying out recursive decomposition according to the target geometric body characteristics, a preset geometric body characteristic priority order and a corresponding decomposition algorithm to obtain a plurality of leaf nodes of the semi-space CSG tree;

the third processing module is used for traversing the leaf nodes of the semi-space CSG tree and judging the type of the conversion element entity corresponding to each leaf node;

a fourth processing module, configured to generate an MCNP half-space expression of the leaf node when it is determined that the type of the conversion meta-entity is a complete conversion meta-entity; when the type of the current conversion element entity is determined to be an incomplete conversion element entity, adding a half-space auxiliary surface to the incomplete conversion element entity, and generating an MCNP half-space expression of the leaf node;

and the fifth processing module is used for determining the MCNP half-space expression corresponding to the CAD part model according to the MCNP half-space expression of each leaf node and the regular Boolean operation type of each branch of the half-space CSG tree.

9. A host computer, comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the conversion method for MCNP three-dimensional preprocessing as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the conversion method for MCNP three-dimensional pre-processing as claimed in any one of claims 1 to 7.

Images