An application method, device, equipment, medium and product of a three-dimensional simulation model
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- COMMERCIAL AIRCRAFT CORP OF CHINA LTD
- Filing Date
- 2026-02-12
- Publication Date
- 2026-06-02
Smart Images
Figure CN122133276A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of computer graphics, and more particularly to a method, apparatus, device, medium, and product for applying three-dimensional simulation models. Background Technology
[0002] Topology optimization combined with additive manufacturing (3D printing) technology has become a key means to achieve lightweight high-performance parts. In actual engineering processes, designers typically obtain 3D simulation models in stereolithography or point cloud format generated through topology optimization calculations.
[0003] To meet the requirements of subsequent manufacturing processes (such as reducing the printing wall thickness to enhance lightweight effect, adapting to assembly clearance requirements, etc.), it is often necessary to further optimize the structure of the 3D simulation model. One existing optimization method is to perform "erosion" or "inward shrinkage" treatment, that is, to offset the surface of the 3D simulation model inward by a certain distance along the normal direction.
[0004] However, existing optimization methods generally employ a globally uniform processing strategy, such as applying the same shrinkage displacement to all points on the 3D simulation model. This approach cannot handle parts containing non-design domains, as these are typically the part's mounting base, bearing holes, or flange interfaces, whose dimensional accuracy is strictly constrained and deformation is not permitted. If optimization is only applied to the shrinkable design domain while forcing the non-design domains to remain stationary, the inconsistency in shrinkage displacement will inevitably lead to problems such as geometric steps, tangential discontinuities, and V-shaped stress concentration gaps at the boundary between the design and non-design domains. Consequently, after the part is printed based on the 3D simulation model, it will reduce the part's fatigue resistance and may even lead to breakage at the connection points. Summary of the Invention
[0005] This invention provides a method, apparatus, device, medium, and product for applying three-dimensional simulation models, in order to solve the problem that existing methods for optimizing three-dimensional simulation models cannot simultaneously meet the optimization requirements of the design domain and the dimensional constraints of the non-design domain, thus leading to geometric defects and safety hazards in the printed parts.
[0006] In a first aspect, embodiments of the present invention provide a method for applying a three-dimensional simulation model, the method comprising: Obtain the topology design information of the part, and determine the first three-dimensional simulation model based on the topology design information of the part; In response to the optimization operation on the first three-dimensional simulation model, the first three-dimensional simulation model is structurally optimized to obtain a second three-dimensional simulation model. The second three-dimensional simulation model generates a continuous transition surface at the junction of the first region and the second region. The first region is a region where deformation is not allowed, and the second region is a region to be optimized. In response to the printing operation of the second three-dimensional simulation model, the second three-dimensional simulation model is printed based on the printing parameters to obtain the target part.
[0007] Secondly, embodiments of the present invention provide an application device for a three-dimensional simulation model, the device comprising: The first determining module is used to acquire part topology design information and determine a first three-dimensional simulation model based on the part topology design information; The second determining module is used to perform structural optimization on the first three-dimensional simulation model in response to the optimization operation on the first three-dimensional simulation model to obtain a second three-dimensional simulation model. The second three-dimensional simulation model generates a continuous transition surface at the junction of the first region and the second region. The first region is a region where deformation is not allowed, and the second region is a region to be optimized. The printing module is used to respond to the printing operation of the second three-dimensional simulation model, and print the second three-dimensional simulation model based on the printing parameters to obtain the target part.
[0008] Thirdly, embodiments of the present invention provide an electronic device, the electronic device comprising: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, which is then executed by the at least one processor to enable the at least one processor to perform the application method of the three-dimensional simulation model as described in any embodiment of the present invention.
[0009] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing computer instructions, which are used to cause a processor to execute and implement the application method of the three-dimensional simulation model described in any embodiment of the present invention.
[0010] Fifthly, embodiments of the present invention also provide a computer program product, the computer program product including a computer program, which, when executed by a processor, implements the application method of the three-dimensional simulation model according to any embodiment of the present invention.
[0011] The technical solution of this invention involves acquiring part topology design information and determining a first three-dimensional simulation model based on this information. In response to an optimization operation on the first three-dimensional simulation model, structural optimization is performed to obtain a second three-dimensional simulation model. The second three-dimensional simulation model generates a continuous transition surface at the boundary between the first and second regions. The first region is a region where deformation is not allowed, and the second region is the region to be optimized. In response to a printing operation on the second three-dimensional simulation model, printing is performed based on printing parameters to obtain the target part. Using this method, a second three-dimensional simulation model with a continuous transition surface at the boundary between regions is obtained by structurally optimizing the first three-dimensional simulation model. This achieves a balance between optimization requirements and dimensional constraints, avoids the geometric steps and discontinuities caused by traditional uniform optimization, ensures the integrity of the part's geometric topology, effectively disperses the force flow, and improves the part's fatigue resistance.
[0012] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description
[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.
[0014] Figure 1 This is a schematic diagram of a three-dimensional simulation model of a part in an application method of a three-dimensional simulation model provided in an embodiment of the present invention; Figure 2 This is a comparative diagram of the 3D simulation models before and after optimization using existing methods; Figure 3 This is a frontal comparison diagram of the 3D simulation models before and after optimization using existing methods; Figure 4 This is a side view comparison diagram of the 3D simulation model before and after optimization using existing methods; Figure 5 A flowchart illustrating an application method of a three-dimensional simulation model provided in an embodiment of the present invention; Figure 6 This is a schematic diagram illustrating the mapping relationship between the first distance and the target weight in a three-dimensional simulation model application method provided in an embodiment of the present invention. Figure 7This is a schematic diagram of the second three-dimensional simulation model in an application method of a three-dimensional simulation model provided in an embodiment of the present invention; Figure 8 This is a frontal comparison diagram of the three-dimensional simulation model before and after optimization in an application method of a three-dimensional simulation model provided in an embodiment of the present invention. Figure 9 This is a side view comparison diagram of the three-dimensional simulation model before and after optimization in an application method of a three-dimensional simulation model provided in an embodiment of the present invention. Figure 10 This is a schematic diagram of the structure of an application device for a three-dimensional simulation model provided in an embodiment of the present invention; Figure 11 A schematic diagram of an electronic device that can be used to implement embodiments of the present invention is shown. Detailed Implementation
[0015] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.
[0016] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0017] It is understood that before using the technical methods disclosed in the various embodiments of this disclosure, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this disclosure in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained.
[0018] For example, upon receiving a user's active request, a prompt message is sent to the user to explicitly inform them that the requested operation will require the acquisition and use of the user's personal information. This allows the user to independently choose, based on the prompt message, whether to provide personal information to the software or hardware such as the electronic device, application, server, or storage medium performing the operations of this disclosed technology.
[0019] As an optional but non-limiting implementation, in response to a user's active request, sending a prompt message to the user can be done via a pop-up window, where the prompt message can be presented in text format. Furthermore, the pop-up window can also include a selection control allowing the user to choose "agree" or "disagree" to provide personal information to the electronic device.
[0020] It is understood that the above notification and user authorization process are merely illustrative and do not constitute a limitation on the implementation of this disclosure. Other methods that comply with relevant laws and regulations may also be applied to the implementation of this disclosure.
[0021] It should be noted that most parts do not exist in isolation; they require specific structures to achieve key functions such as installation, mating, and load-bearing. Therefore, the 3D simulation model of a part typically contains non-design domains such as mounting bases, bearing holes, flange interfaces, and bolt holes, which connect and / or mate with surrounding components and must maintain their original dimensions and shape. Similarly, the 3D simulation model of a part also contains design domains that can be further optimized. For example, Figure 1 This is a schematic diagram of a three-dimensional simulation model of a part in an application method of a three-dimensional simulation model provided in an embodiment of the present invention. Figure 1 As shown, the three-dimensional simulation model of the part is a Y-shaped topological support, which includes a mounting base area 11 (non-design domain) and a branch area 12 (design domain).
[0022] Furthermore, existing optimization methods for 3D simulation models typically employ a globally uniform processing approach. This method cannot handle part models containing non-design domains because if non-design domains participate in structural optimization, it can lead to problems such as excessive assembly gaps or inability to install, directly rendering the part unusable. On the other hand, if uniform structural optimization (such as shrinkage) is performed only on the design domain while forcing non-design domains to remain stationary, geometric discontinuities will inevitably appear at the boundary between the design and non-design domains.
[0023] The geometric discontinuities on the surface of a 3D simulation model can be specifically manifested as follows: 1) Geometric steps and notches: Sharp vertical steps or V-shaped notches are formed at the boundary between the non-design domain and the design domain. 2) Stress concentration: According to the principles of fracture mechanics, geometric abrupt changes will generate extremely high stress concentration coefficients, which are very likely to become the initiation source of fatigue cracks under vibration or alternating loads, leading to the failure of the part from the connection point. 3) Difficulty in repair: Since topology-optimized structures usually have complex free-form surface features, the fillet tools in traditional computer-aided design cannot generate high-quality chamfers at the "steps" of the discrete mesh. Manual repair is extremely time-consuming and it is difficult to ensure smoothness.
[0024] For example, Figure 2 This is a comparative illustration of the 3D simulation models before and after optimization using existing methods. (Example:) Figure 2 As shown, the 3D simulation model is shrunk and optimized using an existing method that only performs uniform shrinkage on the design domain while forcing the non-design domains to remain stationary. Before optimization, the 3D simulation model exhibits a smooth transition at the connection root 21, while after optimization, a geometric step occurs at the connection root 22.
[0025] For example, Figure 3 This is a frontal comparison diagram of the 3D simulation models before and after optimization using existing methods. (See diagram for example.) Figure 3 As shown, the dimensions of the mounting base area remain unchanged, while the dashed line 31 in the branch area represents the boundary of the branch area before shrinkage optimization, and the solid line 33 represents the boundary of the branch area after shrinkage optimization (after the branch area surface is offset inward). It can be seen that the optimized 3D simulation model exhibits a geometric step at the root 31 due to the incoordination of the shrinkage displacement.
[0026] For example, Figure 4 This is a side view comparison diagram of the 3D simulation model before and after optimization using existing methods. (Example) Figure 4 As shown, the dimensions of the mounting base area remain unchanged, while the dashed line 42 in the branch area represents the boundary of the branch area before shrinkage optimization, and the solid line 43 represents the boundary of the branch area after shrinkage optimization (after the branch area surface is offset inward). It can be seen that the optimized 3D simulation model also exhibits a geometric step at the connecting root 41 due to the incoordination of the shrinkage displacement.
[0027] Based on this, embodiments of the present invention provide a method for applying three-dimensional simulation models to automatically handle the transition at the boundary between the design domain and the non-design domain during the optimization process, so as to achieve geometric continuity on the surface of the optimized three-dimensional simulation model while realizing structural weight reduction. Figure 5This is a flowchart illustrating an application method for a three-dimensional simulation model provided in an embodiment of the present invention. This embodiment of the present invention is applicable to scenarios where three-dimensional simulation models are optimized, especially scenarios where three-dimensional simulation models are shrunk and optimized. The method can be executed by an application device for the three-dimensional simulation model. This device can be implemented in the form of software and / or hardware, and optionally, it can be implemented through an electronic device, preferably a mobile terminal, desktop computer, laptop computer, or server.
[0028] like Figure 5 As shown, the application method of the three-dimensional simulation model provided in this embodiment of the invention may specifically include: S101. Obtain the part topology design information and determine the first three-dimensional simulation model based on the part topology design information.
[0029] The part topology design information can include design requirements such as part dimensions, load-bearing requirements, and assembly interfaces. The first 3D simulation model can be considered as a 3D simulation model initially generated through topology optimization, containing the core structure of the part and meeting further optimization requirements such as weight reduction. For example, the first 3D simulation model can be in stereolithography mesh format or point cloud data format.
[0030] In this embodiment, the method for obtaining part topology design information can be: obtaining the part topology design information input by the interactive object in the provided human-computer interaction related operation interface; the method for obtaining part topology design information can also be: reading pre-stored or set part topology design information from a preset storage path, etc., and this embodiment does not limit this. The method for determining the first three-dimensional simulation model based on the part topology design information can be: generating a first three-dimensional simulation model that meets the performance objectives through a preset topology optimization algorithm or a trained model based on the part topology design information, the set performance objectives (such as maximum stiffness, lightest weight, etc.) and the material density distribution.
[0031] S102. In response to the optimization operation on the first three-dimensional simulation model, the structure of the first three-dimensional simulation model is optimized to obtain the second three-dimensional simulation model. The second three-dimensional simulation model generates a continuous transition surface at the junction of the first region and the second region. The first region is a region where deformation is not allowed, and the second region is a region to be optimized.
[0032] This step can be considered the logical implementation of responding to triggered optimization operations within the human-computer interaction interface. The optimization operation can be seen as initiating structural optimization of the first 3D simulation model, which can be triggered by the user clicking a button or sending a message within the provided functional interface. The second 3D simulation model can be understood as the 3D simulation model obtained after optimizing the structure of the first 3D simulation model; compared to the first 3D simulation model, the second 3D simulation model is more aligned with the requirements of subsequent manufacturing processes. The first region can be considered the non-design domain, including areas corresponding to parts with strictly constrained dimensional accuracy, such as the mounting base of the part, bearing holes, or flange interfaces. The second region can be considered the design domain, i.e., the area that needs further optimization to meet process requirements.
[0033] In this embodiment, the optimization operation can be a shrinkage operation or an expansion operation, etc. The method for structurally optimizing the first 3D simulation model to obtain the second 3D simulation model can be as follows: the first 3D simulation model is divided into regions to obtain a first region and a second region; the size of the first region remains unchanged, and the second region is optimized. It should be noted that the optimization of the second region no longer uses a uniform strategy, but instead determines the weights based on the distance of each point in the second region to the reference plane, and controls the displacement of each point according to the weights, so that points closer to the reference plane have smaller displacements, while points farther from the reference plane have larger displacements, thereby forming a smooth and continuous transition surface at the region boundary. The reference plane can be the interface between the first region and the second region, which can be determined based on the division interface when dividing the first and second regions.
[0034] S103. In response to the printing operation for the second three-dimensional simulation model, print the second three-dimensional simulation model based on the printing parameters to obtain the target part.
[0035] In this embodiment, when there is a need to manufacture the optimized second 3D simulation model into a physical part, the interactive object can trigger a printing operation on the second 3D simulation model through clicking a button, entering text commands, or entering voice commands in the human-computer interaction interface. The printing operation can be considered as initiating a 3D printing operation on the second 3D simulation model.
[0036] In this embodiment, in response to the printing operation of the second three-dimensional simulation model, based on the set printing parameters, such as printing material, layer thickness, support structure and laser power, the second three-dimensional model is printed using three-dimensional printing technology to accurately restore the structural features of the second three-dimensional model and obtain the printed target part, which has the characteristics of being lightweight and having geometrical continuity on the surface.
[0037] The method for applying a three-dimensional simulation model provided in this invention involves acquiring part topology design information and determining a first three-dimensional simulation model based on this information. In response to an optimization operation on the first three-dimensional simulation model, structural optimization is performed to obtain a second three-dimensional simulation model. The second three-dimensional simulation model generates a continuous transition surface at the boundary between the first and second regions. The first region is a region where deformation is not permitted, and the second region is the region to be optimized. In response to a printing operation on the second three-dimensional simulation model, printing is performed based on printing parameters to obtain the target part. Using this method, a second three-dimensional simulation model with a continuous transition surface at the boundary between regions is obtained by structurally optimizing the first three-dimensional simulation model. This achieves a balance between optimization requirements and dimensional constraints, avoids the geometric steps and discontinuities caused by traditional uniform optimization, ensures the integrity of the part's geometric topology, effectively disperses and transmits force flow, and improves the part's fatigue resistance.
[0038] As a first optional embodiment of the present invention, based on the above embodiments, the structural optimization of the first three-dimensional simulation model to obtain the second three-dimensional simulation model can be specified as the following steps: a1) Divide the obtained first three-dimensional simulation model into regions based on the region division information to obtain the first region and the second region.
[0039] In this embodiment, the region partitioning information may include spatial geometric constraints or attribute tags. Spatial geometric constraints can be considered as constraints set based on the physical geometric features of the first three-dimensional simulation model, such as spatial coordinates, size, and / or shape; attribute tags can be considered as exclusive attribute labels for region partitioning, pre-annotated for discrete elements such as vertices and faces in the first three-dimensional simulation model during the creation (such as the topology optimization stage) or preprocessing of the first three-dimensional simulation model.
[0040] For example, the method of dividing the acquired first three-dimensional simulation model into regions based on region division information to obtain the first region and the second region can be as follows: for each structure to be divided (such as each discrete element) in the first three-dimensional simulation model, the spatial geometric constraints satisfied by the structure to be divided are determined according to the preset spatial geometric constraints, thereby determining the region to which the structure to be divided belongs; the structures to be divided belonging to the same region are summarized to obtain the first region and the second region.
[0041] For example, the spatial geometric constraints corresponding to the first region may include coordinate constraints (such as all structures with a z-axis coordinate ≤ 0 mm), size constraints (such as the interior of a cylindrical hole with a radius ≥ 10 mm), and shape constraints (such as the bottom support structure of a cuboid shape) set for the first region. The remaining structures outside the scope of the above geometric constraints correspond to the second region.
[0042] For example, the method of dividing the acquired first three-dimensional simulation model into regions based on the region division information to obtain the first region and the second region can be as follows: for each structure to be divided in the first three-dimensional simulation model, the region to which the structure to be divided belongs is determined based on the preset attribute tags relative to each structure to be divided; the structures to be divided belonging to the same region are summarized to obtain the first region and the second region.
[0043] For example, all vertices and / or faces of the mounting base and mating holes can be labeled with attributes such as "0", "fixed area", "non-design domain" or "first region"; and the vertices and / or faces of the remaining structures to be divided can be labeled with attributes such as "1", "optimizable area", "design domain" or "second region".
[0044] b1) Determine the interface between the first region and the second region, and determine at least one first target point contained in the second region and its corresponding first coordinates.
[0045] It is known that there exist structures that belong to both the first and second regions, because these structures are located at the junction (boundary) between the first and second regions. In this embodiment, the natural connection surface, or interface, between the first and second regions can be determined based on these shared structures.
[0046] In this embodiment, the first target point can be considered as a point contained in the second region, the first coordinate can be considered as the position of the first target point before optimization, and the first coordinate is a three-dimensional coordinate.
[0047] As one implementation, determining at least one first target point contained in the second region can be further specified as follows: if the first 3D simulation model is a point cloud model, then each discrete point in the second region is determined as a first target point; if the first 3D simulation model is a stereolithography model, then each discrete vertex in the second region is determined as a first target point. After determining the first target points, the first coordinates corresponding to each first target point can be obtained from the first 3D simulation model.
[0048] Understandably, since the point cloud model is a set of discrete points without topological relationships, each discrete point in the second region can be directly regarded as the first target point. However, the stereolithography model (STL model) contains a mesh composed of triangular facets and vertices, so each discrete vertex in the second region is regarded as the first target point.
[0049] c1) For each first target point, determine the second coordinates of the first target point based on the first coordinates and the first distance from the first target point to the interface, and move the first target point according to the second coordinates to obtain the second target point.
[0050] The second coordinate can be considered as the optimized position of the first target point. The second target point can be considered as the target point obtained after optimization. For example, the first distance can be the shortest straight-line distance or perpendicular distance from the first target point to the interface.
[0051] In this embodiment, each first target point in the second region can be traversed. For each first target point, the first distance from the first target point to the interface is determined based on the coordinate information. Then, the optimized displacement is determined based on the first distance. The second coordinate of the first target point is determined based on the optimized displacement and the first coordinate. The second target point is obtained by moving the first target point to the second coordinate.
[0052] As one implementation, based on the above optional embodiments, the step of determining the second coordinates of the first target point based on the first coordinates and the first distance from the first target point to the interface can be further optimized into the following steps: c11) Determine the first distance from the first target point to the interface.
[0053] Optionally, determining the first distance from the first target point to the interface includes: determining the shortest Euclidean distance from the first target point to the interface, and determining the shortest Euclidean distance as the first distance.
[0054] c12) Based on the first distance and a preset attenuation function, determine the target weight of the first target point, wherein the target weight is positively correlated with the first distance.
[0055] In this embodiment, when the optimization operation is shrinkage optimization, in order to achieve adaptive shrinkage and generate a continuous transition surface, the target weight of the first target point can be determined based on the first distance of each target point combined with a decay function, so as to control the adaptive adjustment of the displacement of the first target points with different distances relative to the interface. The decay function can be considered as a function used to characterize the relationship between the first distance and the target weight. In the decay function, the target weight will increase accordingly as the first distance increases.
[0056] Optionally, the decay function is constructed based on a Gaussian function.
[0057] In this embodiment, a decay function is constructed based on a Gaussian function. Utilizing the nonlinear decay characteristics of the Gaussian function, a variable curvature streamlined transition surface can be automatically generated between the first and second regions. Compared to traditional standard circular chamfers, this streamlined surface better conforms to the biomimetic characteristics of biological bone growth, more effectively dispersing and transmitting force flow, and significantly reducing the stress concentration factor at the connection point.
[0058] For example, the decay function constructed based on the Gaussian function can be expressed as: ; in, The first target point The first distance, which can be in millimeters, is a relative physical quantity and is independent of the absolute coordinate position of the first three-dimensional simulation model. The first target point The target weight, with a value range of . ; The standard deviation parameter of the Gaussian function directly determines the "steepness" and "length of extension" of the transition curve. The larger the value, the longer the transition zone and the smoother the curve; The smaller the value, the shorter the transition zone and the more rapid the change.
[0059] For example, Figure 6 This is a schematic diagram illustrating the mapping relationship between the first distance and the target weight in a three-dimensional simulation model application method provided in an embodiment of the present invention. Figure 6 As shown, when the first distance of the first target point is 0 mm, that is, the first target point is located on the interface, its corresponding target weight is 0, that is, the corresponding coordinate point 61 (0.0, 0.0); the preset expected effective transition zone length is about 10 mm. When within the preset transition zone range (between coordinate point 61 and coordinate point 62), as the first distance increases, the target weight increases non-linearly and monotonically; when the first distance exceeds the preset transition zone range, the target weight smoothly approaches 1; when the target weight is 1, the first target point is in the full contraction zone 63.
[0060] The above-described technical solution in this embodiment constructs a decay function based on a Gaussian function, and automatically reconstructs a variable curvature streamlined transition surface at the junction of the first and second regions. This ensures that the generated transition surface has second-order geometric continuity at the boundary, thereby more effectively dispersing and transmitting force flow and improving stress dispersion effect.
[0061] c13) Determine the second coordinates of the first target point based on the target shrinkage amount, the normal vector of the first target point, and the target weight.
[0062] The target shrinkage amount can be understood as the preset maximum shrinkage range, which is used to indicate the final inward offset of the first target point in the second region that is expected to be far from the interface and can shrink fully, in order to avoid the problem of insufficient structural strength due to excessive shrinkage. The target shrinkage amount can be pre-input by the interactive object, built into the system, or calculated according to a preset algorithm; this embodiment does not impose any restrictions on this.
[0063] In this embodiment, the normal vector of the first target point can be used to determine the displacement direction, ensuring that when the optimization operation is a shrinkage process, the first target point shrinks inward along the normal vector rather than expands outward or deviates from the model surface, thereby ensuring that the topological shape of the optimized second three-dimensional simulation model remains unchanged. The normal vector of the first target point can be determined based on the first three-dimensional simulation model, and the method of determination is not limited in this embodiment.
[0064] In this embodiment, the method for determining the second coordinate of the first target point based on the target shrinkage amount, the normal vector of the first target point, and the target weight can be as follows: multiply the target shrinkage amount, the normal vector, and the target weight to obtain the shrinkage displacement of the first target point; subtract the first coordinate of the first target point from the shrinkage displacement, and determine the difference as the second coordinate of the first target point.
[0065] For example, the method of determining the second coordinates of the first target point based on the target shrinkage amount, the normal vector of the first target point, and the target weight can be specifically expressed as follows: ; in, The first target point The second coordinate; The first target point The first coordinate; The first target point The normal vector; The target shrinkage amount.
[0066] The above-described technical solution in this embodiment adaptively controls the target weight based on the first distance from the first target point to the interface, forcing the contraction displacement of the first target point on the interface to be zero and smoothly transitioning to the far end. Full contraction is achieved in the region far from the interface, thereby automatically generating a continuous transition surface at the junction of the first region and the second region. This completely eliminates the "step" or "misalignment" defects caused by uniform contraction optimization, ensures the integrity of the geometric topology of the part, and can more effectively disperse the force flow, reducing the stress concentration factor at the connection.
[0067] d1) Based on each of the second target points and the first region, obtain the second three-dimensional simulation model after structural optimization.
[0068] In this embodiment, all the moved second target points and the stationary first region are combined to obtain a complete three-dimensional model after structural optimization, which is the second three-dimensional simulation model.
[0069] It can be seen that at the junction of the first and second regions, because the second target point moves in a smooth transition, a continuous transition surface is naturally formed. Therefore, the second three-dimensional simulation model can take into account both the lightweight optimization objective relative to the second region and the size protection optimization objective relative to the first region.
[0070] The above-described technical solution in this embodiment, through adaptive weight control based on the first distance, forces the contraction displacement at the connection between the first and second regions to be zero and smoothly transitions to the far end, eliminating geometric steps and discontinuities, ensuring the integrity and continuity of the part's geometric topology, effectively dispersing the transmitted force flow, and reducing the stress concentration factor at the connection. At the same time, this technical solution is an independent geometric post-processing algorithm that does not depend on a specific topology optimization solver. Therefore, it can be directly applied to the first three-dimensional simulation model generated by various methods in stereolithography mesh format or point cloud data format for seamless lightweighting and interface protection.
[0071] To achieve a better transition effect and balance connection strength with lightweight design, a specific example is provided here. This example shows the specific values of the target shrinkage amount and the standard deviation parameter of the Gaussian function set during the shrinkage optimization process. Specifically, the target shrinkage amount... Set to 2mm (millimeters), relative Figure 1 This means the radius of the distal branch is reduced by 2mm. Gaussian standard deviation parameter ( The parameter is set to 4. The parameter selection is based on the desired effective transition region length of approximately 10mm. According to the characteristics of the Gaussian function, when... hour, Approximately 1. Therefore, take... .
[0072] Based on the above parameters The actual decay function is obtained: .
[0073] The first target point on the interface, relative to Figure 1 In other words, the first target point is located in the root region of the branch, and its first distance is... Since the radius of curvature is 0mm, the target weight obtained according to the attenuation function is 0, and correspondingly, the shrinkage is 0mm. Here, the radius of curvature is infinite (close to a plane), achieving a continuous G2 connection (i.e., when the generated transition surface extends from the interface to the second region (i.e., from the base region to the branch region), its curvature changes gradually and smoothly, without any abrupt transitions or abrupt changes). At the intermediate position (d=4mm, i.e., 1...), (at the location), the target weight obtained according to the decay function is: Correspondingly, the shrinkage is 2.0 × 0.39 = 0.78 mm, and the curve corresponding to the mapping relationship between the first distance and the target weight begins to rise slowly. At the end of the transition zone (d = 10.0 mm, i.e....), (at the location), the target weight obtained according to the decay function is: Correspondingly, the shrinkage amount is 2.0 × 0.96 = 1.92 mm. At this point, 96% of the shrinkage has been completed, and the resulting three-dimensional simulation model has been smoothly integrated into the distant branch by visual observation.
[0074] Figure 7 This is a schematic diagram of the second three-dimensional simulation model in an application method of a three-dimensional simulation model provided in an embodiment of the present invention. The selected model is... This specific value, combined with a target shrinkage of 2mm, precisely generates an "S-shaped" streamline profile that satisfies the continuity of the second derivative within a range of 0mm to 10mm from the interface, thereby achieving a stress dispersion effect. Figure 7 As shown, the optimized second three-dimensional simulation model has a smooth transition at the root 71.
[0075] For example, Figure 8 This is a frontal comparison diagram of the 3D simulation model before and after optimization in an application method of a 3D simulation model provided in an embodiment of the present invention. Figure 8 As shown, the dimensions of the mounting base area remain unchanged, while the dashed line 82 in the branch area represents the boundary of the branch area before shrinkage optimization, and the solid line 83 represents the boundary of the branch area after shrinkage optimization. It can be seen that the optimized 3D simulation model generates a continuous and smooth variable curvature streamline profile at the root 31.
[0076] For example, Figure 9 This is a side view comparison diagram of the 3D simulation model before and after optimization in an application method of a 3D simulation model provided in an embodiment of the present invention. Figure 9 As shown, the dimensions of the mounting base area remain unchanged, while the dashed line 92 in the branch area represents the boundary of the branch area before shrinkage optimization, and the solid line 93 represents the boundary of the branch area after shrinkage optimization. It can be seen that the optimized 3D simulation model has a smoothly transitioning connecting root with varying curvature.
[0077] Through further investigationFigure 6 Geometric analysis of the transition region shows that the connection structure generated by this technical solution exhibits a streamlined feature with a significant continuous change in curvature. Unlike traditional CAD fixed-radius rounded corners (which only satisfy G1 tangential continuity), this invention uses a second-order differentiable decay function based on a Gaussian function. This ensures that the curvature of the transition surface does not abruptly increase from the first region (mounting base region) to the second region (branch region), but rather increases nonlinearly and smoothly from zero (i.e., satisfying G2 curvature continuity). This progressively variable curvature geometric characteristic eliminates the curvature cutoff at the start and end points of traditional chamfers on a microscopic level, and macroscopically simulates the biological growth morphology of tree roots or bone joints in nature. Experimental results show that this streamlined transition can guide force flow more smoothly and avoid the accumulation of stress waves at geometric abrupt changes, thus achieving superior fatigue resistance compared to conventional chamfers.
[0078] Figure 10 This is a schematic diagram of the structure of an application device for a three-dimensional simulation model provided in an embodiment of the present invention. Figure 10 As shown, the device includes: a first determining module 101, a second determining module 102, and a printing module 103, wherein, The first determining module 101 is used to acquire part topology design information and determine a first three-dimensional simulation model based on the part topology design information; The second determining module 102 is used to perform structural optimization on the first three-dimensional simulation model in response to the optimization operation on the first three-dimensional simulation model to obtain a second three-dimensional simulation model. The second three-dimensional simulation model generates a continuous transition surface at the junction of the first region and the second region. The first region is a region where deformation is not allowed, and the second region is a region to be optimized. The printing module 103 is used to print the second three-dimensional simulation model based on printing parameters in response to a printing operation on the second three-dimensional simulation model to obtain the target part.
[0079] The application device for the three-dimensional simulation model provided in this embodiment of the invention acquires part topology design information and determines a first three-dimensional simulation model based on the part topology design information; in response to the optimization operation for the first three-dimensional simulation model, structural optimization is performed on the first three-dimensional simulation model to obtain a second three-dimensional simulation model. The second three-dimensional simulation model generates a continuous transition surface at the junction of the first region and the second region. The first region is a region where deformation is not allowed, and the second region is a region to be optimized; in response to the printing operation for the second three-dimensional simulation model, the second three-dimensional simulation model is printed based on printing parameters to obtain the target part. Using this device, a second three-dimensional simulation model with a continuous transition surface generated at the junction of regions is obtained by structurally optimizing the first three-dimensional simulation model, achieving a balance between optimization requirements and dimensional constraints, avoiding geometric steps and discontinuities caused by traditional uniform optimization, ensuring the integrity of the part's geometric topology, effectively dispersing the force flow, and improving the fatigue resistance of the part.
[0080] Furthermore, the second determining module 102 may specifically include: The partitioning unit is used to divide the acquired first three-dimensional simulation model into regions based on the region partitioning information, thereby obtaining the first region and the second region. The first determining unit is used to determine the interface between the first region and the second region, and to determine at least one first target point contained in the second region and its corresponding first coordinates; The second determining unit is configured to, for each first target point, determine the second coordinates of the first target point based on the first coordinates and the first distance from the first target point to the interface, and move the first target point according to the second coordinates to obtain the second target point; The optimization result determination unit is used to obtain a second three-dimensional simulation model with optimized structure based on each of the second target points and the first region.
[0081] Furthermore, the second determining unit may specifically include: The distance determination subunit is used to determine the first distance from the first target point to the interface; The weight determination subunit is used to determine the target weight of the first target point based on the first distance and a preset decay function, wherein the target weight is positively correlated with the first distance. The coordinate determination subunit is used to determine the second coordinates of the first target point based on the target shrinkage amount, the normal vector of the first target point, and the target weight.
[0082] Furthermore, the distance determination subunit can specifically be used for: Determine the shortest Euclidean distance from the first target point to the interface, and set the shortest Euclidean distance as the first distance.
[0083] Furthermore, the decay function is constructed based on a Gaussian function.
[0084] Furthermore, the first determining unit can specifically be used for: If the first three-dimensional simulation model is a point cloud model, then each discrete point in the second region is determined as a first target point; If the first three-dimensional simulation model is a stereolithography model, then each discrete vertex in the second region is determined as a first target point.
[0085] The application device for the three-dimensional simulation model provided in the embodiments of the present invention can execute the application method of the three-dimensional simulation model provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.
[0086] Figure 11 A schematic diagram of an electronic device 110 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.
[0087] like Figure 11 As shown, the electronic device 110 includes at least one processor 111 and a memory, such as a read-only memory (ROM) 112 or a random access memory (RAM) 113, communicatively connected to the at least one processor 111. The memory stores computer programs executable by the at least one processor. The processor 111 can perform various appropriate actions and processes based on the computer program stored in the ROM 112 or loaded into the RAM 113 from storage unit 118. The RAM 113 may also store various programs and data required for the operation of the electronic device 110. The processor 111, ROM 112, and RAM 113 are interconnected via a bus 114. An input / output (I / O) interface 115 is also connected to the bus 114.
[0088] Multiple components in electronic device 110 are connected to I / O interface 115, including: input unit 116, such as keyboard, mouse, etc.; output unit 117, such as various types of displays, speakers, etc.; storage unit 118, such as disk, optical disk, etc.; and communication unit 119, such as network card, modem, wireless transceiver, etc. Communication unit 119 allows electronic device 110 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.
[0089] Processor 111 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 111 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 111 performs the various methods and processes described above, such as the application methods of 3D simulation models.
[0090] In some embodiments, the method for applying the 3D simulation model can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 118. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 110 via ROM 112 and / or communication unit 119. When the computer program is loaded into RAM 113 and executed by processor 111, one or more steps of the method for applying the 3D simulation model described above can be performed. Alternatively, in other embodiments, processor 111 can be configured to perform the method for applying the 3D simulation model by any other suitable means (e.g., by means of firmware).
[0091] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.
[0092] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.
[0093] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.
[0094] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).
[0095] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.
[0096] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.
[0097] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.
[0098] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.
Claims
1. A method for applying a three-dimensional simulation model, characterized in that, include: Obtain the topology design information of the part, and determine the first three-dimensional simulation model based on the topology design information of the part; In response to the optimization operation on the first three-dimensional simulation model, the first three-dimensional simulation model is structurally optimized to obtain a second three-dimensional simulation model. The second three-dimensional simulation model generates a continuous transition surface at the junction of the first region and the second region. The first region is a region where deformation is not allowed, and the second region is a region to be optimized. In response to the printing operation of the second three-dimensional simulation model, the second three-dimensional simulation model is printed based on the printing parameters to obtain the target part.
2. The method according to claim 1, characterized in that, The step of optimizing the structure of the first three-dimensional simulation model to obtain the second three-dimensional simulation model includes: The first three-dimensional simulation model is divided into regions based on the region division information to obtain the first region and the second region; Determine the interface between the first region and the second region, and determine at least one first target point contained in the second region and its corresponding first coordinates; For each first target point, based on the first coordinates and the first distance from the first target point to the interface, the second coordinates of the first target point are determined, and the first target point is moved according to the second coordinates to obtain the second target point; Based on each of the second target points and the first region, a second three-dimensional simulation model with optimized structure is obtained.
3. The method according to claim 2, characterized in that, Determining the second coordinates of the first target point based on the first coordinates and the first distance from the first target point to the interface includes: Determine the first distance from the first target point to the interface; The target weight of the first target point is determined based on the first distance and a preset attenuation function, and the target weight is positively correlated with the first distance. The second coordinates of the first target point are determined based on the target shrinkage amount, the normal vector of the first target point, and the target weight.
4. The method according to claim 3, characterized in that, Determining the first distance from the first target point to the interface includes: Determine the shortest Euclidean distance from the first target point to the interface, and set the shortest Euclidean distance as the first distance.
5. The method according to claim 3, characterized in that, The decay function is constructed based on the Gaussian function.
6. The method according to claim 2, characterized in that, Determining at least one first target point contained in the second region includes: If the first three-dimensional simulation model is a point cloud model, then each discrete point in the second region is determined as a first target point; If the first three-dimensional simulation model is a stereolithography model, then each discrete vertex in the second region is determined as a first target point.
7. An application device for a three-dimensional simulation model, characterized in that, include: The first determining module is used to acquire part topology design information and determine a first three-dimensional simulation model based on the part topology design information; The second determining module is used to perform structural optimization on the first three-dimensional simulation model in response to the optimization operation on the first three-dimensional simulation model to obtain a second three-dimensional simulation model. The second three-dimensional simulation model generates a continuous transition surface at the junction of the first region and the second region. The first region is a region where deformation is not allowed, and the second region is a region to be optimized. The printing module is used to respond to the printing operation of the second three-dimensional simulation model, and print the second three-dimensional simulation model based on the printing parameters to obtain the target part.
8. An electronic device, characterized in that, The electronic device includes: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, which is then executed by the at least one processor to enable the at least one processor to perform the application method of the three-dimensional simulation model according to any one of claims 1-6.
9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that are used to cause a processor to execute the application method of the three-dimensional simulation model according to any one of claims 1-6.
10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the application method of the three-dimensional simulation model according to any one of claims 1-6.