CN113361630A - Part similarity and dissimilarity automatic identification method based on curved surface feature comparison - Google Patents
Part similarity and dissimilarity automatic identification method based on curved surface feature comparison Download PDFInfo
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Abstract
The invention provides a part dissimilarity automatic identification method based on curved surface feature comparison, which is used for identifying and classifying part models and is characterized in that firstly, all parts to be identified are numbered, and then a cycle is established; then, collecting all external curved surface characteristics of all parts, and comparing the external curved surface characteristics between every two parts according to circulation to generate a corresponding similarity matrix; and finally, generating a part different and identical condition list for all parts according to the generated similarity matrix. The invention can provide a quality checking means for structure designers, which is helpful for finding problems and correcting the problems in time; meanwhile, an automatic identification method is provided for other professional designers needing part heterogeneity identification, so that the labor and time cost is saved, and the design and manufacturing quality is ensured.
Description
Technical Field
The invention belongs to the technical field of machining part modeling, and particularly relates to a part similarity and dissimilarity automatic identification method based on curved surface feature comparison.
Background
In the industries of aviation, aerospace, vehicles, ships, machinery and the like, in order to save manufacturing cost and improve maintainability, parts with the same function and similar structural features are usually designed to be universal parts, and the parts are often called a multi-purpose part.
The existence of a large number of multipurpose parts reduces the number of components, but increases the identification difficulty of designers such as strength finite element modeling, numerical control machining program design, component assembly and the like on parts with similar structural formulas, thereby causing the problem of process control quality and being not beneficial to the quick iteration of design;
at present, the problem can only be seriously checked and carefully compared by professional designers in work to avoid, and the problem is time-consuming, labor-consuming and difficult to eradicate completely.
Disclosure of Invention
The invention provides a part similarity and dissimilarity automatic identification method based on curved surface feature comparison, which aims at the defects of the prior art. Through the operation of the invention, a means of design comparison and quality check can be provided for structure designers, which is helpful for finding problems and correcting the problems in time; meanwhile, an automatic identification method is provided for other professional designers needing part heterogeneity identification, so that the labor and time cost is saved, and the design and manufacturing quality is ensured.
The invention provides a part dissimilarity automatic identification method based on curved surface feature comparison, which is used for identifying and classifying part models and is characterized in that firstly, all parts to be identified are numbered, and then a cycle is established; then, collecting all external curved surface characteristics of all parts, and comparing the external curved surface characteristics between every two parts according to circulation to generate a corresponding similarity matrix; and finally, generating a part different and identical condition list for all parts according to the generated similarity matrix.
To better implement the present invention, step S1 is further performed first: all parts to be identified are numbered Part _ x (x ═ 1,2, …, k), where k is the total number of parts to be identified.
In order to better implement the present invention, further, after the step S1 is performed, the step S2 is also performed:
step S2: and establishing a cycle, making p equal to p +1, selecting a Part _ p as an initial Part, and marking the Part as a Part _ source.
In order to better implement the present invention, further, after the step S2 is performed, the step S3 is also performed:
step S3: extracting all external curved surfaces Surf _ source of Part _ sourcei(i ═ 1,2, …, m), where m is the total number of outer surfaces of Part source.
In order to better implement the present invention, further, after the step S3 is performed, the step S4 is also performed:
step S4: extracting all external curved surfaces Surf _ x of Part _ x (x ═ p +1, p +2, …, i-1, i)j(j — 12, …, n), where i is the total number of geometries that need to be characterized and n is the total number of outer surfaces of the geometry Part _ x.
In order to better implement the present invention, further, after the step S4 is performed, the step S5 is also performed:
step S5: the curved surface Surf _ x of the Part _ x is divided into two partsjRespectively with the curved surface Surf _ source of the Part _ sourceiRespectively carrying out one-to-one comparison, and recording the comparison result as c _ xij(ii) a If curved surface Surf _ xjAnd surface Surf _ sourceiThe geometric characteristics are completely consistent, and the comparison result c _ xij1, otherwise c _ xij＝0。
In order to better implement the present invention, further, after the step S5 is performed, the step S6 is also performed:
step S6: according to the similarity matrix C _ x of the Part _ xm×n＝(c_xij) And judging whether the Part _ x is equal to the initial Part _ source or not.
In order to better implement the present invention, further, the specific operation of determining whether the Part _ x is consistent with the initial Part _ source in step S6 is:
judging a similarity matrix C _ x of the Part _ xm×n＝(c_xij) Whether it is a square matrix and satisfies
det(C_x)＝1
If the condition is met, judging that the geometric characteristics of the Part _ x and the initial Part _ source are completely consistent; otherwise, judging that the geometric features of the Part _ x and the initial Part _ source are inconsistent.
In order to better implement the present invention, further, after the step S6 is performed, the step S7 is also performed:
step S7: and repeating the steps S2 to S6 until the parameter p is k-2, and completing the pairwise comparison of all parts.
In order to better implement the present invention, further, after the step S7 is performed, the step S8 is also performed:
step S8: and forming a Part dissimilarity table of the Part _ x (x is 1,2, …, k) according to the comparison result.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the invention provides a part difference and identity automatic identification method based on curved surface feature comparison. The method can provide a quality check means for structure designers, and is helpful for finding problems and correcting the problems in time; meanwhile, an automatic identification method is provided for other professional designers needing part heterogeneity identification, so that the labor and time cost is saved, and the design and manufacturing quality is ensured.
Drawings
FIG. 1 is a block flow diagram of the method of the present invention;
fig. 2 shows a schematic structural representation of a typical frame section of an aircraft fuselage.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and therefore should not be considered as a limitation to the scope of protection. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1:
the embodiment provides a part dissimilarity automatic identification method based on curved surface feature comparison, which is used for identifying and classifying part models and is characterized in that firstly, all parts to be identified are numbered, and then a cycle is established; then, collecting all external curved surface characteristics of all parts, and comparing the external curved surface characteristics between every two parts according to circulation to generate a corresponding similarity matrix; and finally, generating a part different and identical condition list for all parts according to the generated similarity matrix.
Example 2:
in this embodiment, on the basis of the above embodiment 1, in order to better implement the present invention, further, the following steps are specifically required to be performed:
step S1: numbering all parts to be identified, wherein the Part is numbered as Part _ x (x is 1,2, …, k), and k is the total number of the parts to be identified;
step S2: establishing a cycle, enabling p to be p +1, selecting a Part _ p as an initial Part, and marking the Part as a Part _ source;
step S3: extracting all external curved surfaces Surf _ source of Part _ sourcei(i ═ 1,2, …, m), where m is the total number of outer surfaces of Part source;
step S4: extracting all external curved surfaces Surf _ x of Part _ x (x ═ p +1, p +2, …, i-1, i)j(j ═ 1,2, …, n), where i is the total number of geometries that need to be characterized and n is the total number of geometries Part _ x outer surfaces;
step S5: the curved surface Surf _ x of the Part _ x is divided into two partsjRespectively with the curved surface Surf _ source of the Part _ sourceiRespectively carrying out one-to-one comparison, and recording the comparison result as c _ xij(ii) a If curved surface Surf _ xjAnd surface Surf _ sourceiThe geometric characteristics are completely consistent, and the comparison result c _ xij1, otherwise c _ xij＝0；
Step S6: according to the similarity matrix C _ x of the Part _ xm×n＝(c_xij) Judging whether the Part _ x is equal to the initial Part _ source or not, wherein the specific operation is as follows:
judging a similarity matrix C _ x of the Part _ xm×n＝(c_xij) Whether it is a square matrix and satisfies
det(C_x)＝1
If the condition is met, judging that the geometric characteristics of the Part _ x and the initial Part _ source are completely consistent; otherwise, judging that the geometric features of the Part _ x and the initial Part _ source are inconsistent;
step S7: repeating the steps S2 to S6 until the parameter p is k-2, and completing pairwise comparison among all parts;
step S8: and forming a Part dissimilarity table of the Part _ x (x is 1,2, …, k) according to the comparison result.
Other parts of this embodiment are the same as those of embodiment 1, and thus are not described again.
Example 3:
in this embodiment, on the basis of any one of the embodiments 1 to 2, the present invention provides an automatic part similarity and difference identification method based on curved surface feature comparison. The method adopts a Tcl language to develop programs and operates under a Hypermesh software platform. The following detailed description of embodiments of the invention is provided in connection with the accompanying drawings.
According to one aspect of the invention, the method for automatically identifying the part similarities and differences based on the curved surface characteristic comparison is provided, all curved surfaces of the part are selected as objects, whether the geometric characteristics of the part are completely consistent or not is judged by the curved surface characteristic comparison and the similarity matrix calculation, and the comparison result is formed into a form, so that the batch automatic identification of the different and identical parts is realized. The specific process flow is shown in fig. 1.
Fig. 2 shows a schematic structural view of a typical frame section of an aircraft fuselage, the assembly of components comprising 4 frames, 10 stringers and 40 connecting angle pieces. The following describes embodiments of the present invention with reference to this example:
step S1: all parts to be identified are numbered with Part _ x (x ═ 1,2, …, k), where k is the total number of parts to be identified, and parameter p is made 0.
Step S2: and establishing a cycle, making p equal to p +1, selecting a Part _ p as an initial Part, and marking the Part as a Part _ source.
Step S3: extracting all external curved surfaces Surf _ source of Part _ sourcei(i ═ 1,2, …, m), where m is the total number of outer surfaces of Part source.
Step S4: extracting all external curved surfaces Surf _ x of Part _ x (x ═ p +1, p +2, …, i-1, i)j(j ═ 1,2, …, n), where i is the total number of geometries that need to be characterized and n is the total number of geometries Part _ x outer surfaces.
Step S5: the curved surface Surf _ x of the Part _ x is divided into two partsjRespectively with the curved surface Surf _ source of the Part _ sourceiRespectively carrying out one-to-one comparison, and recording the comparison result as c _ xij(ii) a If curved surface Surf _ xjAnd surface Surf _ sourceiThe geometric characteristics are completely consistent, and the comparison result c _ xij1, otherwise c _ xij＝0。
Step S6: when the similarity matrix C _ x of the Part _ xm×n＝(c_xij) Is a square matrix and satisfies
det(C_x)＝1
Judging that the geometric features of the Part _ x and the initial Part _ source are completely consistent; otherwise, judging that the geometric features of the Part _ x and the initial Part _ source are inconsistent.
Step S7: and repeating the steps S2 to S6 until the parameter p is k-2, so that pairwise comparison among all parts is completed.
Step S8: a parts variation table is formed for Part _ x (x ═ 1,2, …, k), and as shown in table 1, it can be seen that the program automatically identified a total of 6 different parts for the assembly: the 4 frames are different from each other and the stringers and the connecting angle pieces are identical.
TABLE 1
In summary, the invention can automatically identify the geometric characteristics of any number of parts and form a part abnormal and abnormal condition list. The method can provide a quality check means for structure designers, and is helpful for finding problems and correcting the problems in time; meanwhile, an automatic identification method is provided for other professional designers needing part heterogeneity identification, so that the labor and time cost is saved, and the design and manufacturing quality is ensured.
Other parts of this embodiment are the same as any of embodiments 1-2 described above, and thus are not described again.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiments according to the technical spirit of the present invention are included in the scope of the present invention.
Claims (10)
1. A part dissimilarity automatic identification method based on curved surface feature comparison is used for identifying and classifying part models and is characterized in that firstly, all parts to be identified are numbered, and then a cycle is established; then, collecting all external curved surface characteristics of all parts, and comparing the external curved surface characteristics between every two parts according to circulation to generate a corresponding similarity matrix; and finally, generating a part different and identical condition list for all parts according to the generated similarity matrix.
2. The method for automatically identifying the difference and the identity of a part based on the comparison of the curved surface features as claimed in claim 1, wherein step S1 is performed first: numbering all parts to be identified, the numbering being
Where k is the total number of parts to be identified.
3. The method for automatically identifying the difference and the identity of a part based on the comparison of curved surface features as claimed in claim 2, wherein after the step S1, the step S2 is further performed:
step S2: and establishing a cycle, making p equal to p +1, selecting a Part _ p as an initial Part, and marking the Part as a Part _ source.
4. The method for automatically identifying the difference and the identity of a part based on the comparison of curved surface features as claimed in claim 3, wherein after the step S2, the step S3 is further performed:
step S3: extracting all external curved surfaces Surf _ source of Part _ sourcei(i ═ 1,2, …, m), where m is the total number of outer surfaces of Part source.
5. The method for automatically identifying part dissimilarity based on curved surface feature comparison as claimed in claim 4, wherein after step S3 is performed, the steps S4 are further performed:
step S4: extracting all external curved surfaces Surf _ x of Part _ x (x ═ p +1, p +2, …, i-1, i)j(j ═ 1,2, …, n), where i is the total number of geometries that need to be characterized and n is the total number of geometries Part _ x outer surfaces.
6. The method for automatically identifying part dissimilarity based on curved surface feature comparison as claimed in claim 5, wherein after step S4 is performed, the steps S5 are further performed:
step S5: the curved surface Surf _ x of the Part _ x is divided into two partsjRespectively with the curved surface Surf _ source of the Part _ sourceiRespectively carrying out one-to-one comparison, and recording the comparison result as c _ xij(ii) a If curved surface Surf _ xjAnd surface Surf _ SourceiThe geometric characteristics are completely consistent, and the comparison result c _ xij1, otherwise c _ xij＝0。
7. The method for automatically identifying part dissimilarity based on curved surface feature comparison as claimed in claim 6, wherein after step S5 is performed, the steps S6 are further performed:
step S6: according to the similarity matrix C _ x of the Part _ xm×n＝(c_xij) And judging whether the Part _ x is equal to the initial Part _ source or not.
8. The method for automatically identifying Part similarities and differences based on curved surface feature comparison as claimed in claim 7, wherein the specific operation of judging whether the Part _ x is consistent with the initial Part _ source in step S6 is:
judging a similarity matrix C _ x of the Part _ xm×n＝(c_xij) Whether it is a square matrix and satisfies
det(C_x)＝1
If the condition is met, judging that the geometric characteristics of the Part _ x and the initial Part _ source are completely consistent; otherwise, judging that the geometric features of the Part _ x and the initial Part _ source are inconsistent.
9. The method for automatically identifying the difference and the identity of a part based on the comparison of curved surface features as claimed in claim 7 or 8, wherein after the step S6, the step S7 is further performed:
step S7: and repeating the steps S2 to S6 until the parameter p is k-2, and completing the pairwise comparison of all parts.
10. The method for automatically identifying part dissimilarity based on curved surface feature comparison according to claim 9, wherein after step S7, step S8 is further performed:
step S8: forming parts according to the comparison result
Parts of (1) are different case lists.
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