A method, system, apparatus, and medium for modeling a sandwich structure containing manufacturing defects
Patent Information
- Application Number
- CN202311153114.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-08
- Publication Date
- 2026-10-27
- Estimated Expiration
- 2043-09-08
AI Technical Summary
事实上,由于夹层结构在制备阶段受环境、制备工艺的限制会产生各类初始缺陷,且在运输和服役过程中环境和外力因素导致的结构缺陷也是不可避免的
[0035]本发明提供的含制造缺陷的夹层结构建模方法,通过对夹层结构工件进行缺陷检测,得到夹层结构工件的制造缺陷信息和缺陷体积含量,以及获取夹层结构工件的结构尺寸信息,并以此对夹层结构工件及其内部的制造缺陷进行有限元建模,得到夹层结构模型和制造缺陷模型,最后通过对夹层结构模型和制造缺陷模型进行布尔运算,得到含制造缺陷的夹层结构模型,能够构建更加真实的夹层结构模型,解决目前对于夹层结构建模未引入制造缺陷的问题,为后续准确评价夹层结构的力学性能提供可靠的工具。采用本发明所构建的含制造缺陷的夹层结构模型更加贴合工程中实际使用的夹层结构,为含制造缺陷夹层结构的数值模拟研究提供了一种更有效的技术途径,有利于更加客观地评价夹层结构的性能机制。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of finite element simulation analysis of sandwich structures, and in particular to a method, system, equipment and medium for modeling sandwich structures with manufacturing defects. Background Technology
[0002] Sandwich structures typically refer to a unified structure composed of a thin, stiff panel material and a thin, low-density core material bonded together. They possess advantages such as high specific stiffness, high specific strength, impact resistance, and lightweight, and are currently widely used in aerospace, shipbuilding, construction, automotive, and civil engineering fields. Current finite element analyses of various sandwich structures are mostly based on ideal models, neglecting the existence of defects in the structure. In reality, sandwich structures inevitably develop various initial defects due to environmental and manufacturing process limitations during fabrication, and structural defects caused by environmental and external forces during transportation and service are also unavoidable. The presence of defects significantly reduces the stiffness and strength of sandwich structures, weakens their load-bearing capacity, and greatly threatens their safety and lifespan. Therefore, studying the impact of various defects on sandwich structures is particularly important.
[0003] However, current traditional modeling methods for sandwich structures focus primarily on numerical simulation of defect-free ideal models, lacking methods for introducing manufacturing defects into sandwich structures. In fact, incorporating manufacturing defects into the finite element modeling process of sandwich structures is crucial for their optimized design and reusability assessment. Therefore, there is an urgent need to develop manufacturing defect modeling methods for sandwich structures, which are widely used in engineering. Summary of the Invention
[0004] The purpose of this invention is to provide a method, system, device, and medium for modeling sandwich structures containing manufacturing defects, so as to construct a more realistic sandwich structure model, solve the problem that current sandwich structure modeling does not introduce manufacturing defects, and provide a reliable tool for subsequent accurate evaluation of the mechanical properties of sandwich structures.
[0005] To achieve the above objectives, the present invention provides the following solution:
[0006] A method for modeling sandwich structures containing manufacturing defects, comprising:
[0007] Defect detection is performed on the sandwich structure workpiece to obtain manufacturing defect information and defect volume content; the manufacturing defect information includes: the morphology, location and size of the manufacturing defect;
[0008] The structural dimensions of the sandwich structure workpiece are obtained, and finite element modeling is performed on the sandwich structure workpiece based on the structural dimensions to obtain the sandwich structure model; the structural dimensions include: the dimensions of the panel, the structure of the core, and the dimensions of the core;
[0009] Based on the manufacturing defect information and the defect volume content, a finite element model is performed on the manufacturing defects inside the sandwich structure workpiece to obtain a manufacturing defect model.
[0010] Boolean operations are performed on the sandwich structure model and the manufacturing defect model to obtain a sandwich structure model containing manufacturing defects.
[0011] Optionally, defect detection is performed on the sandwich structure workpiece to obtain manufacturing defect information and defect volume content of the sandwich structure workpiece, specifically including:
[0012] Defect detection of sandwich structure workpieces is performed using scanning electron microscopy, infrared thermography, X-ray non-destructive testing, or computed tomography imaging technology to obtain manufacturing defect information and defect volume content of the sandwich structure workpieces.
[0013] Optionally, the sandwich structure workpiece consists of two panels and a core located between the panels; the core has a honeycomb structure or a corrugated plate structure.
[0014] Optionally, based on the manufacturing defect information and the defect volume content, finite element modeling is performed on the manufacturing defects inside the sandwich structure workpiece to obtain a manufacturing defect model, specifically including:
[0015] The shape and size of the manufacturing defect geometry are determined based on the morphology and size of the manufacturing defect in the manufacturing defect information.
[0016] The total number of manufacturing defect geometries is determined based on the defect volume content and the size of manufacturing defects in the manufacturing defect information.
[0017] Based on the shape, size, and total number of the manufacturing defect geometry and the location of the manufacturing defects in the manufacturing defect information, a finite element model is performed on the manufacturing defects inside the sandwich structure workpiece to obtain a manufacturing defect model.
[0018] Optionally, the shape of the manufacturing defect geometry is a sphere or a polyhedron.
[0019] Optionally, based on the shape, size, and total number of the manufacturing defect geometry and the location of the manufacturing defects in the manufacturing defect information, finite element modeling is performed on the manufacturing defects inside the sandwich structure workpiece to obtain a manufacturing defect model, specifically including:
[0020] Based on the size of the manufacturing defect geometry, a spherical geometry is randomly generated within any wall of the core of the sandwich structure model; the radius of the spherical geometry is smaller than the wall thickness of the core and the wall thickness of the panel of the sandwich structure workpiece.
[0021] Based on the shape of the manufacturing defect geometry, a manufacturing defect geometry is determined within the spherical geometry; wherein, when the shape of the manufacturing defect geometry is a sphere, the spherical geometry is used as a manufacturing defect geometry; when the shape of the manufacturing defect geometry is a polyhedron, a polyhedron with all vertices located on the surface of the spherical geometry is generated inside the spherical geometry as a manufacturing defect geometry;
[0022] Determine the coordinate range of the wall surface in the sandwich structure model;
[0023] Based on the location of the manufacturing defect in the manufacturing defect information and the coordinate range, several non-overlapping manufacturing defect geometries are randomly generated within the wall surface;
[0024] Based on the total number of manufacturing defect geometries, the manufacturing defect geometries within the wall are translated and rotated in coordinates so that there are several manufacturing defect geometries within the coordinate range of the core and panel of the sandwich structure model, thus obtaining the manufacturing defect model.
[0025] Optionally, Boolean operations are performed on the sandwich structure model and the manufacturing defect model to obtain a sandwich structure model containing manufacturing defects, specifically including:
[0026] By using Boolean operations in the ABAQUS assembly module, the area occupied by the manufacturing defect model is subtracted from the sandwich structure model to obtain a sandwich structure model containing manufacturing defects.
[0027] A modeling system for sandwich structures containing manufacturing defects, comprising:
[0028] The defect detection module is used to detect defects in sandwich structure workpieces and obtain manufacturing defect information and defect volume content of the sandwich structure workpieces; the manufacturing defect information includes: the shape, location and size of the manufacturing defects;
[0029] The first modeling module is used to obtain the structural dimension information of the sandwich structure workpiece, and to perform finite element modeling on the sandwich structure workpiece based on the structural dimension information to obtain the sandwich structure model; the structural dimension information includes: the dimensions of the panel, the structure of the core, and the dimensions of the core;
[0030] The second modeling module is used to perform finite element modeling of the manufacturing defects inside the sandwich structure workpiece based on the manufacturing defect information and the defect volume content, so as to obtain a manufacturing defect model.
[0031] The Boolean operation module is used to perform Boolean operations on the sandwich structure model and the manufacturing defect model to obtain a sandwich structure model containing manufacturing defects.
[0032] An electronic device includes a memory and a processor, the memory storing a computer program, and the processor running the computer program to cause the electronic device to perform the above-described method for modeling sandwich structures containing manufacturing defects.
[0033] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for modeling sandwich structures containing manufacturing defects.
[0034] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:
[0035] The present invention provides a method for modeling sandwich structures with manufacturing defects. By detecting defects in the sandwich structure workpiece, the method obtains information on manufacturing defects and their volume content, as well as structural dimensions. Based on this information, finite element modeling is performed on the sandwich structure workpiece and its internal manufacturing defects, resulting in a sandwich structure model and a manufacturing defect model. Finally, Boolean operations are performed on the sandwich structure model and the manufacturing defect model to obtain a sandwich structure model containing manufacturing defects. This method can construct a more realistic sandwich structure model, solving the problem of current sandwich structure modeling methods not incorporating manufacturing defects. It provides a reliable tool for accurately evaluating the mechanical properties of sandwich structures. The sandwich structure model containing manufacturing defects constructed using this invention more closely resembles actual sandwich structures used in engineering, providing a more effective technical approach for numerical simulation research of sandwich structures with manufacturing defects, and facilitating a more objective evaluation of the performance mechanisms of sandwich structures. Attached Figure Description
[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0037] Figure 1 A flowchart of the method for modeling sandwich structures containing manufacturing defects provided by the present invention;
[0038] Figure 2 A detailed flowchart of the method for modeling sandwich structures with manufacturing defects provided by the present invention;
[0039] Figure 3 This is a distribution diagram of manufacturing defects in a honeycomb structure according to an embodiment of the present invention;
[0040] Figure 4 This is a schematic diagram of the finite element model of the honeycomb structure according to an embodiment of the present invention;
[0041] Figure 5This is a schematic diagram illustrating the distribution of spherical defects within one wall of a honeycomb core according to an embodiment of the present invention.
[0042] Figure 6 This is a schematic diagram illustrating the distribution of spherical defects within a single cell of a honeycomb core according to an embodiment of the present invention.
[0043] Figure 7 This is a schematic diagram of a honeycomb core structure with spherical defects according to an embodiment of the present invention;
[0044] Figure 8 This is a schematic diagram of a honeycomb sandwich structure containing spherical defects according to an embodiment of the present invention.
[0045] Symbol explanation:
[0046] Sphere defect-1, honeycomb core-2, panel-3. Detailed Implementation
[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0048] The purpose of this invention is to provide a method, system, device, and medium for modeling sandwich structures containing manufacturing defects, so as to construct a more realistic sandwich structure model, solve the problem that current sandwich structure modeling does not introduce manufacturing defects, and provide a reliable tool for subsequent accurate evaluation of the mechanical properties of sandwich structures.
[0049] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0050] This invention provides a method for modeling sandwich structures containing manufacturing defects. For example... Figure 1 and Figure 2 As shown, the method includes:
[0051] Step S1: Perform defect detection on the sandwich structure workpiece to obtain manufacturing defect information and defect volume content. The manufacturing defect information includes the morphology, location, and size of the manufacturing defects. The sandwich structure workpiece consists of two thin panels and a core sandwiched between them. The core structure is either a honeycomb structure or a corrugated plate structure; that is, the sandwich structure workpiece can be a honeycomb sandwich structure, a corrugated plate sandwich structure, etc. Taking a honeycomb sandwich structure as an example, the core is composed of regularly arranged regular hexagonal structures. The materials of the sandwich structure include metals and composite materials.
[0052] Preferably, the sandwich structure workpiece is inspected using scanning electron microscopy, infrared thermography, X-ray non-destructive testing, or computed tomography (CT) to obtain manufacturing defect information and defect volume content of the sandwich structure workpiece.
[0053] In order to construct a more reasonable and realistic honeycomb sandwich structure model, this invention uses μ-CT technology to scan the prepared honeycomb structure and statistically analyze the distribution pattern and volume content of manufacturing defects in the honeycomb structure.
[0054] CT technology is widely regarded as an efficient and accurate tool that does not damage the structure being inspected. This invention uses CT technology to detect defects in sandwich structures, including the following steps: (1) scanning the sandwich structure with X-rays and generating multiple two-dimensional cross-sectional images with different gray values through computer processing; (2) reconstructing clear and intuitive three-dimensional images based on these two-dimensional cross-sectional images through computer; (3) capturing manufacturing defects in the sandwich structure in the three-dimensional images, including defect volume content, defect distribution location and shape, etc., to provide strong data support for quantitative research on defect characteristics in sandwich structures.
[0055] Step S2: Obtain the structural dimension information of the sandwich structure workpiece, and perform finite element modeling on the sandwich structure workpiece according to the structural dimension information to obtain the finite element model of the complete sandwich structure, i.e., the sandwich structure model; the structural dimension information includes: the dimensions of the panel, the structure of the core, and the dimensions of the core.
[0056] Preferably, a finite element model with the same dimensions as the sandwich structure workpiece is created in ABAQUS as the sandwich structure model. For example, taking a honeycomb sandwich structure as an example, a honeycomb sandwich structure with a honeycomb core side length of 5mm, a wall thickness of 0.4mm, a height of 10mm, and a panel thickness of 1.5mm is created.
[0057] Step S3: Based on the manufacturing defect information and the defect volume content, perform finite element modeling on the manufacturing defects inside the sandwich structure workpiece to obtain the manufacturing defect model.
[0058] The defect construction method for sandwich structures in this invention utilizes the Python language to perform secondary development on ABAQUS, creating a manufacturing defect model distributed within the sandwich structure model area, satisfying the following requirements: (1) adjacent manufacturing defect geometries do not overlap and are located inside the core (i.e., sandwich core) of the sandwich structure; (2) based on the distribution location of the manufacturing defect geometries in the sandwich structure, different numbers of manufacturing pores are generated in different core areas of the sandwich structure; (3) the total volume fraction of the manufacturing defect geometries generated in the sandwich structure meets the defect volume content requirement.
[0059] Preferably, step S3 specifically includes:
[0060] Step S3.1: Determine the shape and size of the manufacturing defect geometry based on the morphology and size of the manufacturing defect in the manufacturing defect information.
[0061] Step S3.2: Determine the total number of manufacturing defect geometries based on the defect volume content and the size of the manufacturing defects in the manufacturing defect information.
[0062] Specifically, the total number of manufacturing defect geometries is determined based on the defect volume content. The total volume of manufacturing defects in the sandwich structure is calculated, and the total volume of manufacturing defects divided by the volume of a single manufacturing defect geometry gives the total number of manufacturing defect geometries.
[0063] Step S3.3: Based on the shape, size, and total number of the manufacturing defect geometry and the location of the manufacturing defects in the manufacturing defect information, perform finite element modeling of the manufacturing defects inside the sandwich structure workpiece to obtain a manufacturing defect model. The shape of the manufacturing defect geometry is a sphere or a polyhedron. The polyhedron includes tetrahedrons, octahedrons, etc.
[0064] Furthermore, step S3.3 specifically includes:
[0065] Step S3.3.1: Based on the size of the manufacturing defect geometry, randomly generate a spherical geometry in any one of the walls of the core of the sandwich structure model; the radius of the spherical geometry is smaller than the wall thickness of the core and the wall thickness of the panel of the sandwich structure workpiece.
[0066] Step S3.3.2: Based on the shape of the manufacturing defect geometry, determine a manufacturing defect geometry within the spherical geometry; wherein, when the shape of the manufacturing defect geometry is a sphere, the spherical geometry is used as a manufacturing defect geometry; when the shape of the manufacturing defect geometry is a polyhedron, a polyhedron with all vertices located on the surface of the spherical geometry is generated inside the spherical geometry as a manufacturing defect geometry.
[0067] Step S3.3.3: Determine the coordinate range of the wall surface in the sandwich structure model.
[0068] Step S3.3.4: Based on the location of the manufacturing defect and the coordinate range in the manufacturing defect information, randomly generate several non-overlapping manufacturing defect geometries within the wall surface.
[0069] Step S3.3.5: Based on the total number of manufacturing defect geometries, perform coordinate translation and rotation on the manufacturing defect geometries within the wall surface so that there are several manufacturing defect geometries within the coordinate range of the core and panel of the sandwich structure model, thus obtaining the manufacturing defect model.
[0070] Taking a sphere as an example to illustrate the shape of the manufacturing defect geometry, the specific steps for creating a manufacturing defect model are as follows:
[0071] (1) Define the radius R of the spherical geometry. Randomly generate a small sphere at the center of the sphere (X0,Y0,Z0). In order to ensure that the sphere is located inside the core of the sandwich structure, the diameter of the sphere is smaller than the wall thickness of the sandwich structure (for polyhedral defects, ensure that each vertex of the polyhedron is located on the surface of the sphere).
[0072] (2) Determine the coordinate range of one wall in the sandwich core, limit the coordinate range of the randomly generated geometric body center, and realize that the geometric body center is within one wall.
[0073] (3) Perform interference checks. Since the positions of the geometric objects within the wall are completely random, overlaps will occur when there are many geometric objects. Therefore, each time a new geometric object is generated, it is necessary to check whether it interferes with the previously generated geometric objects to ensure that each geometric object is independent and does not intersect. At this time, random geometric objects can be generated within one wall surface in the sandwich structure.
[0074] (4) By translating and rotating the small ball on a wall, the position of the random geometry can be located in other walls and panels of the sandwich structure. The number of geometry in each wall and panel can be determined according to the defect volume content obtained from the CT image.
[0075] The interference condition for determining the newly generated defect geometry and the previously generated defect geometry is as follows:
[0076]
[0077] In the formula, the subscript i+1 represents the newly generated defect geometry, the subscript i represents the previous defect geometry, and (x,y,z) are the coordinates of the center of the defect geometry.
[0078] Step S4: Perform Boolean operations on the sandwich structure model and the manufacturing defect model to obtain a sandwich structure model containing manufacturing defects.
[0079] Preferably, Boolean operations of the ABAQUS assembly module are used to subtract the area occupied by the manufacturing defect model from the sandwich structure model to obtain a sandwich structure model containing manufacturing defects.
[0080] The present invention is further illustrated in detail below with reference to a specific embodiment.
[0081] Taking a honeycomb sandwich structure as an example, the core is composed of regularly ordered regular hexagonal structures. To construct a more reasonable and realistic honeycomb sandwich structure model, the prepared honeycomb structure was first scanned using μ-CT technology to statistically analyze the distribution pattern and volume content of manufacturing defects in the honeycomb structure. Figure 3 The diagram shows the distribution of manufacturing defects in a honeycomb structure. For example... Figure 3 As shown, the honeycomb core has a side length of 5mm, a wall thickness of 0.4mm, and a height of 10mm.
[0082] Using Python, ABAQUS was further developed to create a manufacturing defect model distributed within the honeycomb sandwich structure model area. Here, the geometry of the manufacturing defect is approximated as a sphere, satisfying the following requirements: (1) Adjacent spheres do not overlap and are located within the honeycomb sandwich structure model area; (2) Based on the distribution location of the sphere defects in the honeycomb sandwich structure, different numbers of sphere defects are generated in different areas of the structure; (3) The total volume fraction of the sphere defects generated in the honeycomb sandwich structure meets the defect volume content requirement.
[0083] like Figures 4 to 7 As shown, the specific steps for creating a manufacturing defect model are as follows:
[0084] (1) Define the radius of the spherical geometry as R = 0.15, and randomly generate a small sphere at the position of the center of the sphere (0,0,0).
[0085] (2) Determine the coordinate range of one wall in the honeycomb core, and restrict the coordinate range of the randomly generated sphere center to ensure that the center of sphere defect 1 is within one wall of the honeycomb core. See [link to relevant documentation]. Figure 4 .
[0086] (3) Perform interference checks. Since the positions of the spheres within the wall are completely random, overlapping spheres will occur when there are many spheres. Therefore, each time a new sphere is generated, it is necessary to check whether it interferes with previously generated spheres to ensure that each sphere is independent and does not intersect. At this point, it is possible to have random spheres within one wall of the sandwich structure. See [link to documentation]. Figure 5 The area within the dashed circle represents a wall.
[0087] (4) By performing coordinate translation and rotation on a small ball on a wall, the position of the random ball can be located within a single cell of the honeycomb structure (see...). Figure 6 The area enclosed by six walls in the dashed circle is a unit cell, and the number of spherical defects in each wall of the unit cell and in the panel can be determined based on the defect volume content obtained from CT images.
[0088] (5) By performing vector translation on spherical defects generated within a single cell, the spherical defects can be distributed throughout the honeycomb core. See [link to relevant documentation]. Figure 7 .
[0089] Finally, using Boolean operations in the ABAQUS assembly module, the area occupied by the spherical defects is subtracted from the established honeycomb sandwich structure. The remaining area is the desired honeycomb sandwich structure containing the spherical defects. (See [link to documentation]). Figure 8 Both the honeycomb core 2 and the panel 3 contain several spherical defects 1. This completes the process of establishing the model of the honeycomb sandwich structure containing spherical defects.
[0090] In summary, this invention provides a refined modeling method for sandwich structures that takes into account manufacturing defects. The constructed sandwich structure containing manufacturing defects closely matches the sandwich structures actually used in engineering, providing a more effective technical approach for numerical simulation research of sandwich structures with manufacturing defects, so as to objectively evaluate the performance mechanism of sandwich structures.
[0091] To implement the above methods and achieve the corresponding functions and technical effects, a modeling system for sandwich structures containing manufacturing defects is provided below, including:
[0092] The defect detection module is used to detect defects in sandwich structure workpieces and obtain manufacturing defect information and defect volume content of the sandwich structure workpieces; the manufacturing defect information includes: the shape, location and size of the manufacturing defects.
[0093] The first modeling module is used to obtain the structural dimension information of the sandwich structure workpiece, and to perform finite element modeling on the sandwich structure workpiece based on the structural dimension information to obtain the sandwich structure model; the structural dimension information includes: the dimensions of the panel, the structure of the core, and the dimensions of the core.
[0094] The second modeling module is used to perform finite element modeling of the manufacturing defects inside the sandwich structure workpiece based on the manufacturing defect information and the defect volume content, so as to obtain a manufacturing defect model.
[0095] The Boolean operation module is used to perform Boolean operations on the sandwich structure model and the manufacturing defect model to obtain a sandwich structure model containing manufacturing defects.
[0096] The present invention also provides an electronic device, including a memory and a processor. The memory stores a computer program, and the processor runs the computer program to cause the electronic device to perform the above-described method for modeling sandwich structures containing manufacturing defects. The electronic device may be a server.
[0097] In addition, the present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for modeling sandwich structures containing manufacturing defects.
[0098] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.
[0099] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.
Claims
1. A method for modeling sandwich structures containing manufacturing defects, characterized in that, include: Defect detection is performed on the sandwich structure workpiece to obtain manufacturing defect information and defect volume content of the sandwich structure workpiece; The manufacturing defect information includes: the shape, location, and size of the manufacturing defect; The structural dimensions of the sandwich structure workpiece are obtained, and finite element modeling is performed on the sandwich structure workpiece based on the structural dimensions to obtain the sandwich structure model; the structural dimensions include: the dimensions of the panel, the structure of the core, and the dimensions of the core; Based on the manufacturing defect information and the defect volume content, a finite element model is performed on the manufacturing defects inside the sandwich structure workpiece to obtain a manufacturing defect model. Specifically, this includes: determining the shape and size of the manufacturing defect geometry based on the morphology and size of the manufacturing defects in the manufacturing defect information; determining the total number of manufacturing defect geometries based on the defect volume content and the size of the manufacturing defects in the manufacturing defect information; and performing a finite element model on the manufacturing defects inside the sandwich structure workpiece based on the shape, size, and total number of the manufacturing defect geometries, as well as the location of the manufacturing defects in the manufacturing defect information, to obtain a manufacturing defect model. Specifically, this includes: randomly generating a spherical geometries within any wall of the core of the sandwich structure model based on the size of the manufacturing defect geometries; the radius of the spherical geometries is smaller than the wall thickness of the core and the wall thickness of the panel of the sandwich structure workpiece; and determining the shape of the manufacturing defect geometries based on the size of the manufacturing defect geometries. A manufacturing defect geometry is defined within the spherical geometry. When the manufacturing defect geometry is spherical, it is considered a manufacturing defect geometry. When the manufacturing defect geometry is polyhedral, a polyhedron with all vertices located on the surface of the spherical geometry is generated inside the spherical geometry as a manufacturing defect geometry. The coordinate range of the wall surface is determined in the sandwich structure model. Based on the location of the manufacturing defect in the manufacturing defect information and the coordinate range, several non-overlapping manufacturing defect geometries are randomly generated within the wall surface. Based on the total number of manufacturing defect geometries, the manufacturing defect geometries within the wall surface are translated and rotated in coordinates so that there are several manufacturing defect geometries within the coordinate range of both the core and the panel of the sandwich structure model, thus obtaining a manufacturing defect model. The shape of the manufacturing defect geometry is either a sphere or a polyhedron. Boolean operations are performed on the sandwich structure model and the manufacturing defect model to obtain a sandwich structure model containing manufacturing defects.
2. The method for modeling sandwich structures with manufacturing defects according to claim 1, characterized in that, Defect detection is performed on the sandwich structure workpiece to obtain manufacturing defect information and defect volume content, specifically including: Defect detection of sandwich structure workpieces is performed using scanning electron microscopy, infrared thermography, X-ray non-destructive testing, or computed tomography imaging technology to obtain manufacturing defect information and defect volume content of the sandwich structure workpieces.
3. The method for modeling sandwich structures with manufacturing defects according to claim 1, characterized in that, The sandwich structure workpiece consists of two panels and a core located in the middle of the panels; the core has a honeycomb structure or a corrugated plate structure.
4. The method for modeling sandwich structures with manufacturing defects according to claim 1, characterized in that, Perform Boolean operations on the sandwich structure model and the manufacturing defect model to obtain a sandwich structure model containing manufacturing defects, specifically including: By using Boolean operations in the ABAQUS assembly module, the area occupied by the manufacturing defect model is subtracted from the sandwich structure model to obtain a sandwich structure model containing manufacturing defects.
5. A modeling system for sandwich structures containing manufacturing defects, characterized in that, include: The defect detection module is used to detect defects in sandwich structure workpieces and obtain manufacturing defect information and defect volume content of the sandwich structure workpieces. The manufacturing defect information includes: the shape, location, and size of the manufacturing defect; The first modeling module is used to obtain the structural dimension information of the sandwich structure workpiece, and to perform finite element modeling on the sandwich structure workpiece based on the structural dimension information to obtain the sandwich structure model; the structural dimension information includes: the dimensions of the panel, the structure of the core, and the dimensions of the core; The second modeling module is used to perform finite element modeling of the manufacturing defects inside the sandwich structure workpiece based on the manufacturing defect information and the defect volume content, to obtain a manufacturing defect model. Specifically, this includes: determining the shape and size of the manufacturing defect geometry based on the morphology and size of the manufacturing defects in the manufacturing defect information; determining the total number of manufacturing defect geometries based on the defect volume content and the size of the manufacturing defects in the manufacturing defect information; and performing finite element modeling of the manufacturing defects inside the sandwich structure workpiece based on the shape, size, and total number of the manufacturing defect geometries and the location of the manufacturing defects in the manufacturing defect information, to obtain a manufacturing defect model. Specifically, this includes: randomly generating a spherical geometries within any wall of the sandwich core of the sandwich structure model based on the size of the manufacturing defect geometries; the radius of the spherical geometries is smaller than the wall thickness of the sandwich core and the wall thickness of the panel of the sandwich structure workpiece; and based on the manufacturing defect geometries... The shape of the body is defined by identifying a manufacturing defect geometry within the spherical geometry. Specifically, when the manufacturing defect geometry is spherical, it is considered a manufacturing defect geometry. When the manufacturing defect geometry is polyhedron, a polyhedron with all vertices located on the surface of the spherical geometry is generated inside the spherical geometry as a manufacturing defect geometry. The coordinate range of the wall surface is determined in the sandwich structure model. Based on the location of the manufacturing defect in the manufacturing defect information and the coordinate range, several non-overlapping manufacturing defect geometries are randomly generated within the wall surface. Based on the total number of manufacturing defect geometries, the manufacturing defect geometries within the wall surface are translated and rotated in coordinates so that there are several manufacturing defect geometries within the coordinate range of both the core and the panel of the sandwich structure model, resulting in a manufacturing defect model. The shape of the manufacturing defect geometry is either a sphere or a polyhedron. The Boolean operation module is used to perform Boolean operations on the sandwich structure model and the manufacturing defect model to obtain a sandwich structure model containing manufacturing defects.
6. An electronic device, characterized in that, The device includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform the sandwich structure modeling method with manufacturing defects as described in any one of claims 1 to 4.
7. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the method for modeling sandwich structures with manufacturing defects as described in any one of claims 1 to 4.
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