CN105426628A - Complex product heterogeneous model fusing method - Google Patents
Complex product heterogeneous model fusing method Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
Abstract
The invention discloses a complex product heterogeneous model fusing method. The method is mainly prepared through the following steps of firstly, extracting geometric feature and processing shape and position error information of a product model at different stages; secondly, establishing a voxel model of product uniform expression through a voxelization method; thirdly, establishing mapping of distance field intersection, subtraction and complementation operation and speed field operation functions and heterogeneous model primitive feature, shape and position error and high-grade feature operation; fourthly, fusing product heterogeneous primitive feature and processing shape and position error information into the voxel model; fifthly, reestablishing a voxel model surface model through a movable cuboid method so that the visual expression of the fused model can be achieved. The unified framework of product heterogeneous information processing is provided, heterogeneous model fusing integration and uniform visual expression in different CAX systems are achieved, the effective approach of product multi-major and multi-performance analysis and evaluation is provided, complex product design efficiency can be effectively improved, the complex product development cycle can be shortened, and product competitiveness can be greatly improved.
Description
Technical field
The invention belongs to a kind of Products Digital Geometric Modeling Method, particularly relate to a kind of complex product isomery Model Fusion method.
Background technology
Need to apply to the multi-modelings such as CAD, CAM and CAE, emulation and analytic system in product design manufacture process, it will generate in a large number with the Products Digital model of partial information.But, the single field of each system use uniqueness require and business system software format standard be difficult to unified present situation, cause single part product a large amount of isomery model information be difficult to fusion and integrated.
Current research person mainly adopts the modes such as file layout unification and geometric properties process to realize heterogeneous system model integrated.File layout unified approach realizes isomery model conversation and the system integration mainly through Standard File Format parsing and the process of additional semantic parameter information etc.The main research work of this respect comprises: Bianconi[BianconiF.BridgingthegapbetweenCADandCAEusingST Lfiles [J] .InternationalJournalofCAD/CAM, CAD and CAE data transfer device based on STL standard format files 2002,2 (1): 55-67.] is proposed.The method is found broad application in product design is analyzed, but also facing triangle grid model the phenomenon such as not to close, and is not suitable for the complex operations such as the feature edit of isomery model and fusion.[the CaoB. such as Cao, ChenJ.HuangZh.ZhengY.CAD/CAEIntegrationFrameworkwithLaye redSoftwareArchitecture [C] .IEEEInternationalConferenceonComputer-AidedDesignandCom puterGraphics, 2009.pp.410-415.] propose based on CAD framed structure layer, CAE functional module layer and general geometry module storehouse isomery model layers integrated framework.Although the method provides a kind of effective isomery model conversation method, also face the problem that system interface development is complicated and loaded down with trivial details.Geometric properties disposal route, mainly through identifying product-forming feature, then realizes heterogeneous system by interpolation geometric properties, operating simulation and emulation analysis parameter semantic information integrated.The groundwork of this respect comprises: [the GujarathiG.P. such as Gujarathi, MaY.-s.ParametricCAD/CAEintegrationusingacommondatamodel [J] .JournalofManufacturingSystems, M IS method based on design and analysis information co expression 2011,30 (3): 118-132.] is proposed.Although the method can simultaneously preservation model history design information and analyze the geometric properties data needed, reach CAD and CAE exchanges data object.But corporate data is expressed only can adapt to single application model conversion demand, is difficult to the co expression realizing numerous system data and information in product design.Lee[LeeS.ACAD-CAEinternationapproachusingfeature-basedmu lti-resolutionandmulti-abstructionmodelingtechniques [J] .ComputerAidedDesign, 2005,37:941-955.] CAD, CAE system integration method of expressing based on product geometric model abstract modeling and multi-level features is proposed.The method is by CAD solid model and express grid model at many levels, and the analytical model realizing different Simulation Application and accuracy requirement builds.But its multi-level fuzzy judgment building process is more loaded down with trivial details, and be difficult to meet feature edit and transplanting demand.It can thus be appreciated that, although existing method can tentatively solve between product design system and the problem of model data transformation between product design system and simulation analysis system, but each method is all the process approach proposed for particular problem, extraction and the identification of product design heterogeneous system model data implicit information cannot be realized, also the fusion of isomery model and information be cannot realize, the unitized process operation and the Visualization that realize isomery Model Fusion are more difficult to.
Summary of the invention
The object of this invention is to provide a kind of complex product isomery Model Fusion method, problem that is integrated and that merge is difficult to solve complex product heterogeneous system model, provide the effective way of the many performance evaluations of multidisciplinary and evaluation, can effectively promote Complex Product Design efficiency, shorten the Complex Product Development cycle, larger raising product competitiveness.
The technical scheme that the present invention adopts for its technical matters of solution is:
A kind of complex product isomery Model Fusion method, comprises the following steps:
1) primitive feature recognition method is adopted to extract the geometric properties of product at the Heterogeneous Digital model of different phase, and adopting model matching method to obtain product parts processing Form and position error information simultaneously, the described stage comprises design phase, process segment and measuring phases;
2) according to entity design model, voxelization method is adopted to build the voxel model of product Unified Expression;
3) according to step 2) in the voxel model that obtains, calculate distance field attribute, then distance field is built, and build three kinds of mapping relations of the intersection operation of distance field and the clone method of primitive feature, the difference operation of distance field and the extracting method of primitive feature, the union operation of distance field and primitive feature fusion method, and then build velocity field handling function and isomery model Form and position error merges, velocity field handling function and isomery model advanced features merge two kinds of mapping relations;
4) adopt distance field edit methods to realize the fusion of product isomery primitive feature and voxel model, then employing level set edit methods is by Product processing Form and position error information fusion in voxel model, obtains Fusion Model;
5) adopt Marching Cubes reconstruct Fusion Model, realize Fusion Model and unify Visualization, finally obtain surface model.
Described complex product isomery Model Fusion method, step 1) in the Heterogeneous Digital model of product comprise design, process and the Heterogeneous Digital model of measuring phases; Identify the semantic parameter of basic geometric properties in isomery model, and it is integrated with measurement isomery Model Matching by design entity, extract the Form and position error information of processing model, Form and position error information comprises flatness, circularity, cylindricity, the depth of parallelism, right alignment and verticality.
Described complex product isomery Model Fusion method, step 2) in, described employing voxelization method builds the voxel model of product Unified Expression, comprising:
Step 1: by principal component method, adjustment model geometry pose, extracts entity design model optimum expression main shaft;
Step 2: by entity design model discretize, then carry out construct prime model according to the topological connection relation of model.
Described complex product isomery Model Fusion method, step 3) in, according to the distance field attribute of product voxel model, structure distance field occurs simultaneously, difference set and union, and obtain extracting with primitive feature, copy the mapping relations with fusion method, then protruding features velocity field is built according to level set editor and method of operating, constant speed field, curvature adaptive speed field and interest domain velocity field, set up and Form and position error information fusion successively again, shaped Offset Fusion Features, the mapping relations of fairing chamfering Fusion Features and interest domain Fusion Features advanced features and semantic operation one to one, wherein Form and position error information fusion and shaped Offset Fusion Features belong to the fusion of isomery model Form and position error, fairing chamfering Fusion Features and interest domain Fusion Features belong to isomery model advanced features and merge.
Described complex product isomery Model Fusion method, step 4) in, the fusion adopting distance field edit methods to realize product isomery primitive feature and voxel model is by the voxel model of selected specific products model as element body model, then by the product isomery aspect of model and information fusion to element body model; Combination model translation in mixing operation, Rotation and Zoom functional localization locus; And Binding distance field common factor, union and difference operation realize isomery model geometric Fusion Features.
Described complex product isomery Model Fusion method, step 4) in, level set edit methods is adopted to be by the real needs according to feature edit and fusion in Product processing Form and position error information fusion to voxel model, build protruding features velocity field, constant speed field, curvature adaptive speed field and interest domain velocity field, then fusion product isomery model Form and position error information, shaped Offset feature, fairing chamfering characteristic sum interest domain these advanced features of feature and semantic information.
Described complex product isomery Model Fusion method, step 5) in, adopt Marching Cubes to rebuild the surface of the geometric mould after merging
Accompanying drawing explanation
Fig. 1 is the idiographic flow of the product isomery model information fusion method that the present invention proposes;
Fig. 2 is the frame diagram of the product isomery model information fusion that the present invention proposes;
Fig. 3 is to Contrast on effect before and after product model voxel discretization; Wherein (a) is that PCA corrects the model of pose, and (b) is discrete for correcting pose model element, the model that (c) is free-position, (d) for free-position model voxel discrete;
Fig. 4 is the result figure merging isomery dovetail groove information at element body model upper surface; Wherein (a) is dovetail groove model, and (b) is element body model, and (c) is Fusion Model, d () is basic square section, e (), for merging square section, (f) is basic profile, (g) is for merging profile;
Fig. 5 is by the result figure of free form surface information fusion to element body model; Wherein (a) is FREEFORM SURFACE MODEL, b () is element body model, c () is Fusion Model, d () is basic square section, e () is for merging square section, f () is basic profile, (g) is for merging profile;
Fig. 6 is the result figure that blade morpheme control information merges; Wherein (a) is the model of band measuring error information, b () is element body model, c () is Fusion Model, d () is basic square section, e () is for merging square section, f () is basic profile, (g) is for merging profile;
Fig. 7 is the result figure that leaf model merges offset information; Wherein (a) is surface information Fusion Model, and (b) is export-oriented skew model, (c) for interior to skew model.
Embodiment
The present invention includes following implementation step:
1) primitive feature recognition method is adopted to extract the geometric properties of product at the Heterogeneous Digital model of different phase, and adopting model matching method to obtain product parts processing Form and position error information simultaneously, the described stage comprises design phase, process segment and measuring phases;
2) according to entity design model, voxelization method is adopted to build the voxel model of product Unified Expression;
3) according to step 2) in the voxel model that obtains, calculate distance field attribute, then distance field is built, and build three kinds of mapping relations of the intersection operation of distance field and the clone method of primitive feature, the difference operation of distance field and the extracting method of primitive feature, the union operation of distance field and primitive feature fusion method, and then build velocity field handling function and isomery model Form and position error merges, velocity field handling function and isomery model advanced features merge two kinds of mapping relations;
4) adopt distance field edit methods to realize the fusion of product isomery primitive feature and voxel model, then employing level set edit methods is by Product processing Form and position error information fusion in voxel model, obtains Fusion Model;
5) adopt Marching Cubes reconstruct Fusion Model, realize Fusion Model and unify Visualization, finally obtain surface model.
Wherein, step 1) in adopt primitive feature recognition method to extract the detailed process of the peculiar geometric properties of Heterogeneous Digital model and processing Form and position error information as follows:
Primitive feature recognition method is adopted to extract the semantic parameter of the basic geometric properties of distinctive plane, cylinder, circular cone etc. in the Heterogeneous Digital model of the different phases such as product design, processing and measurement; Integrated with measurement isomery Model Matching by design entity, extract the Form and position error information such as the flatness of processing model, circularity, cylindricity, the depth of parallelism, right alignment and verticality.
Step 2) according to entity design model, adopt voxelization method to build the element body model of product Unified Expression, its detailed process is as follows:
First adopt principal component method extraction model optimum expression major axes orientation, realize product design each system model geometry pose matching; Then by product element body model discretize, product three-dimensional voxel Unified Expression model is built.Adjustment model geometry pose detailed process is as follows:
If each summit is x in model
i, point set center is
then the covariance matrix of model vertices set can be expressed as:
The eigenwert of covariance matrix T can be expressed as λ
1>=λ
2>=λ
3, be respectively v with its characteristic of correspondence vector
1, v
2and v
3.The transformation matrix that the geometric model that can obtain under free-position state transforms to model major axes orientation is:
According to above formula, master pattern is converted, then conventionally at x, y, z direction discrete entities model.Due to, need to build the voxel model of original coordinate space, therefore each apex coordinate after discrete is transformed to original coordinate space, its transformation matrix is:
Product model discretize and reconstruction detailed process: build according to the bounding box that designs a model and meet accuracy requirement voxel model, and estimate the position relationship of each voxel angle point and solid model, if angle point is positioned at voxel inside, assignment is 1, otherwise assignment is 0; Then the topological connection relation of model is built by the index (i, j, k) on x, y, z direction.
Step 3) in, build distance field handling function detailed process as follows:
First product voxel model distance field attribute is built; Then structure distance field common factor, difference set and supplementary set and primitive extract especially, copy the mapping relations with fusion method; And then build the mapping relations of protruding features velocity field, constant speed field, curvature adaptive speed field and the senior characteristic sum semantic operation such as interest domain velocity field and Form and position error information fusion, shaped Offset Fusion Features, fairing chamfering Fusion Features and interest domain Fusion Features.
Build distance field:
The distance field of voxel model can be expressed as φ, and (it represents that the four-dimentional space be made up of three dimensional space coordinate and time shaft is mapped as the functional of 1 dimension space for p (t), function t).Distance field value is the surface model of the contour surface formation isomery model information fusion of 0, and it can be expressed as: φ (p (t), t)=0
Above formula shows the result of distance field φ and the dynamic change of voxel cell coordinate p coupling component model.In order to clearly represent the mutual relationship of distance field and voxel coordinate, the differentiate of chain type differential is utilized to obtain:
In hypothesized model, can only move along the normal orientation of distance field in all summits, and so voxel coordinate position Φ can be expressed as the product of velocity field and normal direction to the differential of time t:
Level set editor equation can be obtained through reasoning:
Because distance field is defined in the function on product model voxel cell summit, hypothesized model adopts unit space coordinate and unit interval discrete representation, then each voxel cell summit can be expressed as at the n-th time step distance field:
φ
n[i,j,k]＝φ(iΔx,jΔy,kΔz)
After model voxel is discrete, the coordinate position of each voxel cell can not change, and voxel model initial distance script holder is φ
0.According to modal distance velocity field and initial distance field, Binding distance field is in the discrete representation of time dimension, and model dynamic distance field can be expressed as:
φ
n+1[i,j,k]＝φ
n[i,j,k]-f(i,j,k)·||φ
n[i,j,k]||
It can thus be appreciated that, by defining the velocity field f (p) of distance field and distance field normal orientation, the product model of dynamically changeable can be built, realizing product Heterogeneous Information and merging.
Distance field operation maps with isomery Model Fusion:
Voxel model cell node not only includes 3 d space coordinate information, also has distance field information simultaneously, therefore can according to distance field attribute union, difference set and intersection operation, realize voxel model to copy, extract and the basic operation of the isomery model information process such as fusion, and realize complex model by basic operation combination and build.Distance field operation is as shown in the table with the corresponding relation of isomery model geometric Fusion Features:
The corresponding relation of the operation of table 1 distance field and isomery model geometric Fusion Features
Velocity field operation maps with isomery Model Fusion:
When the velocity field on voxel model unit summit is definite value (not being 0), its can constantly by model boundary in body or external even propelling, realize product isomery model offset information fusion.Specifically can be expressed as:
f
const(p)＝k
The operation of the Model Fusion such as fairing and chamfering is then needed by building curvature adaptive speed field.Specifically can be expressed as:
f
curve(p)＝k
m(p)
Also need feature construction and the fusions such as dynamic implement projection and groove in voxel model editing process, it can by definition modifying point p
0the distance field that place meets Gaussian distribution realizes.Specifically can be expressed as:
Wherein σ is feature range of influence regulatory factor, is generally taken as distribution spacing 3-5 doubly.
Fusion for isomery model local feature information then can realize by building interest domain (ROI) velocity field handling function.It is primarily of proportion adjustment factor-alpha, and interest domain regulates radius r, interest domain transitional region width k, interest domain operation center position p
0and model editing velocity field f (p) etc. five parts composition.Be defined as follows:
f
roi(p)＝αf(p)w
rk(||p-p
0||)
Wherein w
rkt () is interest domain adjustment function, meeting value in interest domain is 1, and the outer value of interest domain is 0, the condition that inside and outside transition light is suitable.Specifically can be expressed as:
Step 4) in, adopt distance field edit methods to realize the fusion of product isomery primitive feature and element body model, its detailed process is as follows:
When voxel model editor, select specific products voxel model as element body model, then the cell information such as the face of cylinder in isomery model, the conical surface and sphere can be fused to element body model by distance field common factor, union and difference operation, the senior semantic features such as isomery model keyway can be formed in conjunction with cell information combinations such as planes simultaneously.Isomery model is stretched, to scan and cell information and the free form surface information etc. such as spiral also can be operated by distance field and combine, realize the fusion of isomery model complex characteristic information.
Adopt level set edit methods by Product processing Form and position error information fusion to matrix model, its detailed process is as follows:
By using the position deviation of single analyzing spot as discrete velocity field, then realize the fusion of isomery model Form and position error information according to voxel model protrusion features modeling method.And by building constant speed field, realize isomery model offset information fusion, built by the adaptive velocity field of curvature and then can realize the fairing of isomery model and chamfering information fusion.Finally in conjunction with interest domain velocity field edit methods, realize the fusion of isomery model local message.
Step 5) in, adopt Marching Cubes reconstruct element body model surface model, realize the Visualization of Fusion Model, its detailed process is as follows:
Utilize cloud atlas and dynamic cutting visual tool, whether inspection fusion results reaches expection requirement, and can according to the interactively correction fusion process of distance field visible results; Then adopt Marching Cubes reconstruct element body model surface model, build the unified visual representation of Fusion Model.
As shown in Figure 1, as shown in Figure 2, main design thought is FB(flow block) process flow diagram of the present invention:
1) for isomery models such as the point cloud of product design shown in Fig. 2, entity and discrete models, primitive feature recognition method is adopted to extract the geometric properties in product isomery model and process Form and position error information, as the model of geometrical features such as the plane being identification, cylinder, the conical surface that sectional pattern different in the basic-element model in Fig. 2 is expressed;
2) using entity design model as shown in Figure 2 as element body model; Then adopt main shaft pose bearing calibration calibration model pose, correct the discrete result of pose rear mold type voxel as Fig. 3 a, b are depicted as, Fig. 3 c, d are free-position state model, can improve the discrete precision of voxel by model tuning; Final employing voxelization method can obtain voxel model shown in Fig. 2, and can by the distance field attribute information of cutting and the visual voxel model of cloud atlas mode;
3) build that distance field occurs simultaneously, difference set and supplementary set operation and velocity field handling function and isomery model primitive feature, Form and position error and advanced features merge and the mapping relations of editing operation, wherein isomery Model Fusion and distance field operate concrete mapping relations as shown in Figure 1;
4) as shown in Figure 2, adopt distance field edit methods to realize the fusion of product isomery primitive feature and element body model, obtain the Fusion Model that voxel is expressed, and by the visual Fusion Model of cutting, the accuracy of product isomery Model Fusion can be checked;
5) according to above-mentioned similar operations method, employing level set edit methods can by Product processing Form and position error information fusion to matrix model, and the velocity field building method shown in composition graphs 1, can by isomery model high-level semantics information fusion to element body model;
6) adopt Marching Cubes reconstructing surface model, as shown in Figure 2, it can express the situation merging rear model to result, realizes Fusion Model and unifies Visualization.
Embodiment one:
Fig. 4 is the result that fandisk model upper surface merges dovetail groove information.
Wherein Fig. 4 (a) is dovetail groove point cloud model in heterogeneous system, the element body model that Fig. 4 (b) expresses for voxel, on it, each elementary cell summit includes distance field attribute, the distance field information of transverse and longitudinal tangent plane display body prime model is used respectively in literary composition, result is as shown in Fig. 4 (d), (e), wherein the more shallow place of picture center section color represents that model is inner, picture surrounding color comparatively depths represents that model is outside, and other colors are central transition section and surface-boundary.
By by dovetail groove information voxel discretization, then initialization distance field attribute, and adopt passive distance field difference operation, can by dovetail groove information fusion to element body model, the transverse and longitudinal tangent plane of fusion results is as shown in Fig. 4 (e), (f).
Contrast element body modal distance field attribute and Fusion Model distance field attribute known, distance field operation can easily by product model information fusion to element body model, and element body model internal and external relation and surface-boundary feature consistency can be kept.By the Fusion Model that voxel is expressed, although can intactly express product model information, cannot visual Fusion Model surface characteristics intuitively, therefore adopt Marching Cubes reconstruction model, obtain the surface model after the fusion of isomery model information, as shown in Fig. 4 (c).
From the result of Fig. 4 (b), (c), the inventive method can effectively by dovetail groove information fusion to element body model, realize the fusion of different application systems isomery model-based metamessage.
Embodiment two:
Blade design involves multiple subjects such as solid modelling, surface modeling, structural static, model analysis, hydrodynamic force and heat and mass.When analyzing blade aeromechanical performance, only need to consider blade integral form; And when analyzing vane heat dissipating performance, then emphasis needs to consider that in model, louvre and groove distribute and quantity; When analyzing blade anti-leak performance, also need to consider profile notch feature.Thus, need to build various structures feature different model during leaf product simulation analysis, in addition, also have a large amount of in-process measurement point cloud models and structural Topology Optimization model etc., it forms blade isomery model system storehouse.
The present invention is for isomery Model Fusion in blade design, and set forth the effect that the design of this method actual product is used further, result as illustrated in figs. 5-7.
In order to prevent vane end faces Leakage Gas, often need in the vane end faces structure free form surface notch feature similar to molded line during PRODUCT FORM DESIGN, therefore adopt passive distance field difference operation that free form surface groove information is fused to element body model upper surface, concrete outcome as shown in Figure 5.
Wherein Fig. 5 (a) is profile point cloud model, Fig. 5 (b), (f) are element body modal distance field transverse and longitudinal tangent plane result, the distance field tangent plane result of Fig. 5 (e), (g) rear model for Heterogeneous Information merges, Fig. 5 (c) is Fusion Model resurfacing result.
Can be realized the fusion of isomery primitive and free form surface information by passive distance field, but for product isomery Form and position error information, and skew and the contour level semantic information fusion of chamfering then need to be realized by dynamic speed field.
The present invention applies to blade morpheme control information further and merges and the fusion of blade profile offset information.
The implicit expression Form and position error information of Fig. 6 (a) for extracting, isomery model editing according to Fig. 1 and velocity field operation map relation, adopt protrusion features velocity field modeling method, structure scanning discrete point velocity field, then obtains the distance field attribute of Fusion Model shown in Fig. 6 (e), (g) by level set edit methods.
Contrast basic model and Fusion Model distance field transverse and longitudinal tangent plane known, before and after Form and position error information fusion, product voxel model distance field is more or less the same, just have subtle change in profile and matrix crossover position, this meets Form and position error distribution situation in Fig. 6 (a) completely.The surface model that Fig. 6 (c) rebuilds proves the validity of the inventive method fusion product processing Form and position error information further.Utilize existing model as priori matrix, then merge mismachining tolerance information, the preliminary difficult problem solving the irregular sparse point cloud model of scanning and be difficult to rebuild, achieves the fusion of analyzing spot cloud and matrix isomery model.
The inventive method applies to blade profile offset information equally and merges, and result as shown in Figure 7.
Wherein Fig. 7 (a) is vane end faces fusion free form surface information result, by building the constant speed field of voxel unit spot along normal orientation, can realize the export-oriented and interior high-layer semantic information to skew of blade profile to merge, result is as shown in Fig. 7 (b), (c).As seen from the figure, by the high-level offset syntax information fusion of voxel model, can build easily and meet basis lines feature request and the different leaf model of wall thickness, it will play a significant role in product structure static preloading structures etc.
The present invention proposes the method for the product isomery Unified Expression model based on voxel model, and obtain the best voxelization coordinate system of model by product model main shaft extracting method.
The present invention proposes the method for the voxel model editor based on passive distance field and dynamic speed field simultaneously, and by setting up the mapping relations of distance field and velocity field handling function and isomery semantic information and geometric properties, product Heterogeneous Information is merged and changes into the operation of voxel model distance field, and then realize product isomery Model Fusion.
The present invention proposes the algorithm frame that product isomery model information merges, and demonstrate the validity of method in literary composition by test model and actual product model semantics information and geometric properties fusion experiment.
More than show and describe ultimate principle of the present invention, principal character and major advantage.The technician of the industry should understand; the present invention is not by the restriction of above-mentioned embodiment; what describe in above-mentioned embodiment and instructions just illustrates principle of the present invention; the present invention also has various changes and modifications without departing from the spirit and scope of the present invention, and these changes and improvements all fall in the claimed scope of the invention.Application claims protection domain is defined by appending claims and equivalent thereof.
Claims (7)
1. a complex product isomery Model Fusion method, is characterized in that, comprise the following steps:
1) primitive feature recognition method is adopted to extract the geometric properties of product at the Heterogeneous Digital model of different phase, and adopting model matching method to obtain product parts processing Form and position error information simultaneously, the described stage comprises design phase, process segment and measuring phases;
2) according to entity design model, voxelization method is adopted to build the voxel model of product Unified Expression;
3) according to step 2) in the voxel model that obtains, calculate distance field attribute, then distance field is built, and build three kinds of mapping relations of the intersection operation of distance field and the clone method of primitive feature, the difference operation of distance field and the extracting method of primitive feature, the union operation of distance field and primitive feature fusion method, and then build velocity field handling function and isomery model Form and position error merges, velocity field handling function and isomery model advanced features merge two kinds of mapping relations;
4) adopt distance field edit methods to realize the fusion of product isomery primitive feature and voxel model, then employing level set edit methods is by Product processing Form and position error information fusion in voxel model, obtains Fusion Model;
5) adopt Marching Cubes reconstruct Fusion Model, realize Fusion Model and unify Visualization, finally obtain surface model.
2. complex product isomery Model Fusion method as claimed in claim 1, is characterized in that, step 1) in the Heterogeneous Digital model of product comprise design, process and the Heterogeneous Digital model of measuring phases; Identify the semantic parameter of basic geometric properties in isomery model, and it is integrated with measurement isomery Model Matching by design entity, extract the Form and position error information of processing model, Form and position error information comprises flatness, circularity, cylindricity, the depth of parallelism, right alignment and verticality.
3. complex product isomery Model Fusion method as claimed in claim 1, is characterized in that, step 2) in, described employing voxelization method builds the voxel model of product Unified Expression, comprising:
Step 1: by principal component method, adjustment model geometry pose, extracts entity design model optimum expression main shaft;
Step 2: by entity design model discretize, then carry out construct prime model according to the topological connection relation of model.
4. complex product isomery Model Fusion method as claimed in claim 1, it is characterized in that, step 3) in, according to the distance field attribute of product voxel model, structure distance field occurs simultaneously, difference set and union, and obtain extracting with primitive feature, copy the mapping relations with fusion method, then protruding features velocity field is built according to level set editor and method of operating, constant speed field, curvature adaptive speed field and interest domain velocity field, set up and Form and position error information fusion successively again, shaped Offset Fusion Features, the mapping relations of fairing chamfering Fusion Features and interest domain Fusion Features advanced features and semantic operation one to one, wherein Form and position error information fusion and shaped Offset Fusion Features belong to the fusion of isomery model Form and position error, fairing chamfering Fusion Features and interest domain Fusion Features belong to isomery model advanced features and merge.
5. complex product isomery Model Fusion method as claimed in claim 1, it is characterized in that, step 4) in, the fusion adopting distance field edit methods to realize product isomery primitive feature and voxel model is by the voxel model of selected specific products model as element body model, then by the product isomery aspect of model and information fusion to element body model; Combination model translation in mixing operation, Rotation and Zoom functional localization locus; And Binding distance field common factor, union and difference operation realize isomery model geometric Fusion Features.
6. complex product isomery Model Fusion method as claimed in claim 1, it is characterized in that, step 4) in, level set edit methods is adopted to be by the real needs according to feature edit and fusion in Product processing Form and position error information fusion to voxel model, build protruding features velocity field, constant speed field, curvature adaptive speed field and interest domain velocity field, then fusion product isomery model Form and position error information, shaped Offset feature, fairing chamfering characteristic sum interest domain these advanced features of feature and semantic information.
7. complex product isomery Model Fusion method as claimed in claim 1, is characterized in that, step 5) in, adopt Marching Cubes to rebuild the surface of the geometric mould after merging.
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| CN109766906A (en) * | 2018-11-16 | 2019-05-17 | 中国人民解放军海军大连舰艇学院 | Naval battle field situation data fusion method and system based on occurrence diagram |
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| CN114549717A (en) * | 2022-01-22 | 2022-05-27 | 中南大学 | Three-dimensional rapid modeling and dynamic updating method for railway line |
| CN114842039A (en) * | 2022-04-11 | 2022-08-02 | 中国工程物理研究院机械制造工艺研究所 | Coaxiality error calculation method for diamond anvil containing revolving body microstructure |
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