CN102915384B - Characteristic manufacturing behavior sequence construction method based on product geometric body - Google Patents
Characteristic manufacturing behavior sequence construction method based on product geometric body Download PDFInfo
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Abstract
The invention relates to a characteristic manufacturing behavior sequence construction method based on a product geometric body, which mainly comprises the following steps of: analyzing a manufacturing face adjacency graph of a product; extracting at least one sub characteristic step by step to form a static characteristic model of manufacturing behavior; analyzing each processing feeding direction of the product by taking the Boolean operation and a body modeling theory of the adjacency graph as basis; and concluding and optimizing the sub characteristics in the static characteristic model to form geometric body process sequence models which can be available for analysis until all processing feeding directions are analyzed, namely, determining a characteristic manufacturing behavior sequence which can be used for guiding product processing by matching the processing feeding directions with the corresponding process sequence models.
Description
Technical field
The present invention relates to a kind of feature model behavior sequence constructing technology, espespecially a kind of feature model behavior sequence construction method of how much bodies based on product.
Background technology
Product model data refer to the set of all data elements of product into define in the application covering in the whole life cycle of product comprehensively, it is included as carries out design and analysis, manufacture, test, inspection and product support and comprehensive data such as the parts of definition or member required how much, topology, tolerance, relation, attribute and performance, in addition, also may comprise some and process relevant data.Product model for assigning production task, directly quality control, test and carry out product support function comprehensive information can be provided.
The early stage CAD of employing builds product model more, but, along with the development of feature identification technique, progressively be converted into the product model based on feature identification by CAD product model, and in numerous characteristic recognition methods, characteristic recognition method based on attribute adjacent map is the most frequently used method, at the beginning of 21 century, just there is the Constitution Elements of the relation of researcher between limit as figure, realize taking digraph as basic characteristic recognition method, there is again afterwards researcher further to introduce on its basis the judgement of the concavity on limit, point out that rational data structure and modeling method can improve the performance of whole system.But in the attribute adjacent map forming based on directed edge, a considerable amount of assemblage characteristics can not be by clear and definite identification, and only have good recognition effect for axial workpiece, simultaneously, because the data structure of neither one specification is as support, the expression of feature recognition result is also relatively unordered.
And, at present the study general of feature identification is all extracted as to master with the static state of feature, form machinable sequence not accurate enough.
Therefore, how to propose the in order a kind of and feature model behavior sequence construction method of how much bodies based on product accurately, just become current industry problem anxious to be overcome.
Summary of the invention
In view of the shortcoming of above-mentioned prior art, the object of the invention is to provide the in order a kind of and feature model behavior sequence construction method of how much bodies based on product accurately.
For achieving the above object, the feature model behavior sequence construction method of how much bodies based on product provided by the present invention comprises: 1) the undirected adjacent map of the machined surface of analytic product (Manufacturing Face Adjacency Graph, MFAG figure), extract one by one at least one subcharacter of product, to form the static nature model of manufacture behavior; And 2) each processing direction of feed of analytic product one by one, subcharacter in static nature model is concluded to optimization, formation can be for the process sequence model of how much bodies analyzing, until each processing direction of feed is all analyzed complete, coordinate its corresponding process sequence model to be defined as feature model behavior sequence by each this processing direction of feed, and finish this construction method.
Wherein, this subcharacter comprises MFAG figure and the processing datum to MFAG figure that should be to be processed to be processed, and MFAG figure to be processed is by the MFAG figure before product processing and the MFAG figure of how much bodies being carried out to the MFAG figure that boolean's additive operation obtains; Processing datum is by MFAG figure to be processed is carried out to the geometric surface that the crossing computing of boolean obtains with the MFAG figure before product processing.
In addition, the quantity of this processing direction of feed is 6, is respectively X-axis forward, X-axis negative sense, Y-axis forward, Y-axis negative sense, Z axis forward and Z axis negative sense.
In more detail, above-mentioned steps 2) further comprise: 2-1) the MFAG figure before the processing of definition product is source figure, and gives record; 2-2) in 6 processing direction of feeds, select a processing direction of feed, and give record; 2-3) check this processing direction of feed, search on the geometric surface to processing direction of feed and whether have processing datum, if so, by boolean sum computing, this source figure and the MFAG figure of one of them subcharacter with this processing datum are merged, generate new MFAG figure, using as source figure, and record successively the MFAG figure of this subcharacter and this source figure forming, and proceed to step 2-4), if not, proceed to step 2-6); 2-4) continue search along this processing direction of feed, the processing datum that judges whether another subcharacter exists processing on the geometric surface of direction of feed, if, proceed to step 2-5), if not, by this recorded processing direction of feed and successively the MFAG figure through merging the subcharacter of processing of record be defined as process sequence model with the source figure forming, and proceed to step 2-6); 2-5) by boolean sum computing, the MFAG figure of this source figure and this subcharacter is merged, generate new MFAG figure, using as source figure, and record successively this source figure that the MFAG of this subcharacter schemes and forms, and be back to step 2-4); 2-6) judge whether also to exist Unrecorded processing direction of feed, if so, in Unrecorded processing direction of feed, select next processing direction of feed, and be back to step 2-3), if not, proceed to step 2-7); And 2-7) be feature model behavior sequence by respectively this process sequence model construction of determining successively, and finish this construction method.
Below in conjunction with technique scheme, useful technique effect of the present invention is described.Than prior art, the present invention is mainly the undirected adjacent map of machined surface by analytic product, extract one by one at least one subcharacter of product, to form the static nature model of manufacture behavior, then, Boolean calculation and Ontology Modeling using non-directed graph are theoretical as basis, each processing direction of feed of analytic product, subcharacter in static nature model is concluded to optimization, formation can be for the process sequence model of how much bodies analyzing, until each processing direction of feed is all analyzed complete, by each this processing direction of feed coordinate its corresponding process sequence model be defined as can guide product processing feature model behavior sequence, the present invention is by building static nature model and this mode of being association of activity and inertia of process sequence model, with feature model behavior sequence orderly and definition product.
Brief description of the drawings
Fig. 1 is the operating process schematic diagram of the feature model behavior sequence construction method of how much bodies based on product of the present invention.
Fig. 2 is the schematic diagram of the static nature model of the determined manufacture behavior of feature model behavior sequence construction method of how much body application how much bodies based on product of the present invention of an embodiment.
Fig. 3 is the concrete operations schematic flow sheet of an embodiment of the step S20 of Fig. 1.
The MFAG figure of the subcharacter that the feature model behavior sequence construction method of how much body application how much bodies based on product of the present invention that Fig. 4 is another embodiment extracts.
Fig. 5 is the constructed feature model behavior sequence schematic diagram of feature model behavior sequence construction method of how much body application how much bodies based on product of the present invention in Fig. 4.
Fig. 6 is the source figure of processing direction of feed while being X-axis forward.
Fig. 7 is the source figure of processing direction of feed while being Z axis negative sense.
Fig. 8 is the source figure of processing direction of feed while being Z axis forward.
Fig. 9 is the feature model behavior sequence figure that process sequence model P1, P2, P3 build.
[main element symbol description]
A, B1～B8, C source figure
The MFAG figure of F1～F9 subcharacter 1～subcharacter 9
M1～M14 geometric surface
P1, P2, P3 process sequence model
S10～S20, S200～S209 step
Embodiment
Below, by specific instantiation explanation embodiments of the present invention, those of ordinary skill in the field can understand other advantages of the present invention and effect easily by content disclosed in the present specification.The present invention also can be implemented or be applied by other different instantiations, and the every details in this instructions also can be based on different viewpoints and application, carries out various modifications and change not deviating under spirit of the present invention.
Refer to Fig. 1, it is the operating process schematic diagram of the feature model behavior sequence construction method of demonstration how much bodies based on product of the present invention.Below coordinate the concrete operation step of the feature model behavior sequence construction method of Fig. 2 to 5 detailed description how much bodies based on product of the present invention.
As shown in Figure 1, first perform step S10, the undirected adjacent map of machined surface (the Manufacturing Face Adjacency Graph of analytic product, MFAG figure), extract one by one at least one subcharacter of product, to form the static nature model of manufacture behavior, wherein, this subcharacter comprises MFAG figure and the processing datum to MFAG figure that should be to be processed to be processed.And this MFAG figure to be processed is by the MFAG figure after the MFAG figure before product processing and processing (how much bodies) as shown in Figure 2 being carried out to the MFAG figure that boolean's additive operation obtains; This processing datum is by MFAG figure to be processed is carried out to the geometric surface that the crossing computing of boolean obtains with the MFAG figure before product processing.As shown in Figure 3, (be rectangular parallelepiped by the MFAG figure before the MFAG figure of the geometry bodies in Fig. 3 (being the MFAG figure after product is processed) is processed with product, not shown) carry out boolean's additive operation, can obtain 2 subcharacters, respectively subcharacter 1 and subcharacter 2, subcharacter 1 is to comprise by face set { M7, M8, MFAG figure and processing datum M6 and M10 to be processed that M9} forms, subcharacter 2 comprises by face set { M11, M12, M13, MFAG figure and processing datum M10 to be processed that M14} forms, so obtain the static nature model of the behavior of manufacturing.Then, carry out step S20.
In step S20, each processing direction of feed of analytic product one by one, subcharacter in static nature model is concluded to optimization, formation can be for the process sequence model of how much bodies analyzing, until that each processing direction of feed is all analyzed is complete, coordinate its corresponding process sequence model to be defined as feature model behavior sequence by each this processing direction of feed.In more detail, the quantity of this processing direction of feed is 6, is respectively X-axis forward, X-axis negative sense, Y-axis forward, Y-axis negative sense, Z axis forward, Z axis negative sense.Particularly, as shown in Figure 3, the subcharacter in static nature model is concluded to the step of optimizing as follows:
First perform step S200, the MFAG figure (A as shown in Figure 5) before the processing of definition product is source figure, and gives record.Then, carry out step S201.
In step S201, in 6 processing direction of feeds, select a processing direction of feed, and give record.Then, carry out step S202.
In step S202, check this processing direction of feed, search on the geometric surface to processing direction of feed whether have processing datum, if so, proceed to step S203, if not, proceed to step S207.
In step S203, by boolean sum computing, this source figure and the MFAG figure of one of them subcharacter with this processing datum are merged, generate new MFAG figure, using as source figure, and record successively the MFAG figure of this subcharacter and this source figure forming.Then, carry out step S204.
In step S204, continue search along this processing direction of feed, judge whether that the processing datum of another subcharacter exists processing on the geometric surface of direction of feed, if so, proceed to step S205, if not, proceed to step S206.
In step S205, by boolean sum computing, the MFAG figure of this source figure and this subcharacter is merged, generate new MFAG figure, using as source figure, and record successively the MFAG figure of this subcharacter and this source figure forming, then, be back to step S204.
In step S206, by this recorded processing direction of feed and successively the MFAG figure through merging the subcharacter of processing of record be defined as process sequence model with the source figure forming.Then, carry out step S207.
In step S207, judge whether also to exist Unrecorded processing direction of feed, if so, proceed to step S208, if not, proceed to step S209.
In step S208, in Unrecorded processing direction of feed, select next processing direction of feed, then, be back to step S202.
In step S209, be feature model behavior sequence by respectively this process sequence model construction of determining successively, and finish this feature model behavior sequence building process.
For the feature model behavior sequence construction method of more detailed understanding application how much bodies based on product of the present invention how realization character manufacture the structure of behavior sequence, below taking how much bodies of the product in (a) shown in Fig. 4 as example and coordinate Fig. 1, Fig. 3 and Fig. 5 to describe.
First carry out above-mentioned steps S10, can from how much bodies shown in Fig. 4, extract the MFAG figure (F1～F9 as shown in (b) in Fig. 4) of 9 subcharacters, and the benchmark machined surface of subcharacter 1 is M0 (being the geometric surface of corresponding X-axis forward), subcharacter 2 to the benchmark machined surface of subcharacter 5 is M1 (being the geometric surface of corresponding Z axis negative sense), the benchmark machined surface of subcharacter 6 is geometric surfaces of the corresponding Z axis negative sense taking source figure B5 (being detailed later) as body, the benchmark machined surface of subcharacter 7 is geometric surfaces of the corresponding Z axis negative sense taking source figure B6 (being detailed later) as body, the benchmark machined surface of subcharacter 8 is geometric surfaces of the corresponding Z axis negative sense taking source figure B7 (being detailed later) as body, the benchmark machined surface of subcharacter 9 is M3 (being the geometric surface of corresponding Z axis forward), then carry out above-mentioned steps S200, MFAG figure before the processing of definition product is source figure A, perform step afterwards S201, in the present embodiment, select X-axis forward to process direction of feed (but not as limit as first, in other embodiments, also can select any in other 5 Unrecorded processing direction of feeds), then perform step S202, check this X-axis forward, search there is processing datum on the geometric surface M0 of X-axis forward, then, execution step S203, pass through Boolean calculation, source figure A and the MFAG figure F1 of the subcharacter 1 with this processing datum are merged, generate new MFAG figure, using as source figure B1, and record successively the MFAG figure F1 of this subcharacter 1 and the source figure B1 forming, then, execution step S204, continue search along X-axis forward, find no the processing datum of another subcharacter on geometric surface M0, perform step S206, by recorded this processing direction of feed (X-axis forward), and the MFAG figure through merging the subcharacter of processing of record is defined as process sequence model P1 with the source figure (as shown in Figure 6) forming successively.
Afterwards, also there is Unrecorded processing direction of feed by step S207 judgement, it is respectively X-axis negative sense, Y-axis forward, Y-axis negative sense, Z axis forward and Z axis negative sense, proceed to step S208, in Unrecorded processing direction of feed, select next processing direction of feed, in the present embodiment, select X-axis negative sense (but not as limit, in other embodiments, also can select any in other 4 Unrecorded processing direction of feeds), then return to step S202, there is not processing datum in corresponding X-axis negative sense on inspection, proceed to step S207, also there is Unrecorded processing direction of feed in judgement, it is respectively Y-axis forward, Y-axis negative sense, Z axis forward and Z axis negative sense, afterwards, proceed to step S208, in Unrecorded processing direction of feed, select next processing direction of feed, in the present embodiment, select Y-axis forward (but not as limit, in other embodiments, also can select any in other 3 Unrecorded processing direction of feeds), then repeat above-mentioned steps, judge that corresponding Y-axis forward does not exist processing datum and also has Unrecorded processing direction of feed, it is respectively Y-axis negative sense, Z axis forward and Z axis negative sense, afterwards, proceed to step S208, in Unrecorded processing direction of feed, select next processing direction of feed, in the present embodiment, select Y-axis negative sense (but not as limit, in other embodiments, also can select any in other 2 Unrecorded processing direction of feeds), repeat afterwards above-mentioned steps, judge that corresponding Y-axis negative sense does not exist processing datum and also has Unrecorded processing direction of feed, respectively Z axis forward and Z axis negative sense, then, proceed to step S208.
In step S208, in Unrecorded processing direction of feed, select next processing direction of feed, in the present embodiment, select Z axis negative sense (but not as limit, in other embodiments, also can select Z axis forward), then return to step S202, on the geometric surface M1 of corresponding Z axis negative sense, there is processing datum on inspection, proceed to step S203, pass through Boolean calculation, source figure B1 and the MFAG figure F2 of the subcharacter 2 with this processing datum are merged, generate new MFAG figure, using as source figure B2, and record successively the MFAG figure F2 of this subcharacter 2 and the source figure B2 forming, then, execution step S204, continue search along Z axis negative sense, judgement has the processing datum of another subcharacter 3 to exist on should the geometric surface M1 of Z axis negative sense, then, proceed to step S205, by boolean sum computing, the MFAG figure F3 of this source figure B2 and this subcharacter 3 is merged, generate new MFAG figure, using as source figure B3, and record successively the MFAG figure F3 of this subcharacter 3 and this source figure B3 forming, then, be back to step S204, continue search along Z axis negative sense, repeat above-mentioned steps, can successively search out and still have the processing datum of subcharacter 4 to 8 to exist on should the geometric surface of Z axis negative sense, repeat above-mentioned steps, can record successively the MFAG figure of subcharacter 4 to 8 and the source figure forming, respectively (F4-B4), (F5-B5), (F6-B6), (F7-B7) and (F8-B8), now, proceed to step S204, continue search along Z axis negative sense, the reference field of not finding another subcharacter except subcharacter 2 to 8 exists on the geometric surface of corresponding Z axis negative sense, proceed to step S206, by recorded this processing direction of feed (Z axis negative sense), and the MFAG figure through merging the subcharacter of processing of record is defined as process sequence model P2 with the source figure (as shown in Figure 7) forming successively.
Afterwards, also there is Unrecorded processing direction of feed by step S207 judgement, it is Z axis forward, proceed to step S208, in Unrecorded processing direction of feed (Z axis forward), select next processing direction of feed, in the present embodiment, can only select Z axis forward, then return to step S202, check this Z axis forward, search there is processing datum on the geometric surface M3 of Z axis forward, then, execution step S203, pass through Boolean calculation, source figure B8 and the MFAG figure F9 of the subcharacter 9 with this processing datum are merged, generate new MFAG figure, using as source figure C, and record successively the MFAG figure F9 of this subcharacter 9 and the source figure C forming, then, execution step S204, continue search along Z axis forward, find no the processing datum of another subcharacter on geometric surface M3, perform step S206, by recorded this processing direction of feed (Z axis forward), and the MFAG figure through merging the subcharacter of processing of record is defined as process sequence model P3 with the source figure (as shown in Figure 8) forming successively, in the present embodiment, source figure C is the MFAG figure of how much final bodies.
Afterwards, there is not Unrecorded processing direction of feed by step S207 judgement, proceed to step S209, be configured to feature model behavior sequence (as shown in Figure 9), the structural representation shown in corresponding diagram 5 by respectively this process sequence model P1, P2, the P3 that determine successively.
In sum, the present invention mainly starts with from defining how much Ontological concepts of complete product, by the undirected adjacent map of machined surface of analytic product, set up the static nature model of how much bodies of product, then each processing direction of feed of analytic product one by one, subcharacter in static nature model is concluded to optimization, formation can be for the process sequence model of how much bodies of analyzing, and finally formed can guide product processing feature model behavior sequence.Application the present invention, the static state that is not merely confined to the feature of product is extracted (being static nature model), also coordinate processing direction of feed to analyze each subcharacter, to form Dynamic Manufacturing behavior (being process sequence model), so, be association of activity and inertia and get final product in order and the feature model behavior sequence of definition product.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any person of an ordinary skill in the technical field all can, under spirit of the present invention and category, modify and change above-described embodiment.Therefore, the scope of the present invention, should be as listed in the scope of appending claims.
Claims (4)
1. a feature model behavior sequence construction method for how much bodies based on product, is characterized in that, described construction method comprises the following steps:
Step 1) the MFAG figure of analytic product, extracts at least one subcharacter of product, one by one to form the static nature model of manufacture behavior; And
Step 2) each processing direction of feed of analytic product one by one, subcharacter in static nature model is concluded to optimization, formation can be for the process sequence model of how much bodies analyzing, until each processing direction of feed is all analyzed complete, coordinate its corresponding process sequence model to be defined as feature model behavior sequence by each this processing direction of feed, and finish this construction method;
Wherein, the quantity of described processing direction of feed is 6, is respectively X-axis forward, X-axis negative sense, Y-axis forward, Y-axis negative sense, Z axis forward and Z axis negative sense;
Described step 2) further comprise:
Step 2-1) MFAG figure before definition product processing is source figure, and gives record;
Step 2-2) in 6 processing direction of feeds, select a processing direction of feed, and give record;
Step 2-3) check this processing direction of feed, search on the geometric surface to processing direction of feed and whether have processing datum, if so, by boolean sum computing, described source figure and the MFAG figure of one of them subcharacter with this processing datum are merged, generate new MFAG figure, using as source figure, and record successively the MFAG figure of this subcharacter and this source figure forming, and proceed to step 2-4), if not, proceed to step 2-6);
Step 2-4) continue search along this processing direction of feed, the processing datum that judges whether another subcharacter exists processing on the geometric surface of direction of feed, if, proceed to step 2-5), if not, by this recorded processing direction of feed and successively the MFAG figure through merging the subcharacter of processing of record be defined as process sequence model with the source figure forming, and proceed to step 2-6);
Step 2-5) by boolean sum computing, the MFAG figure of described source figure and this subcharacter is merged, generate new MFAG figure, using as source figure, and record successively this source figure that the MFAG of this subcharacter schemes and forms, and be back to step 2-4);
Step 2-6) judge whether also to exist Unrecorded processing direction of feed, if so, in Unrecorded processing direction of feed, select next processing direction of feed, and be back to step 2-3), if not, proceed to step 2-7); And
Step 2-7) be feature model behavior sequence by respectively this process sequence model construction of determining successively, and finish this construction method.
2. the feature model behavior sequence construction method of how much bodies based on product according to claim 1, is characterized in that, described subcharacter comprises MFAG figure to be processed and the processing datum of corresponding described MFAG figure to be processed.
3. the feature model behavior sequence construction method of how much bodies based on product according to claim 2, it is characterized in that, described MFAG figure to be processed is by the MFAG figure before product processing and the MFAG figure of how much bodies are carried out to the MFAG figure that boolean's additive operation obtains.
4. the feature model behavior sequence construction method of how much bodies based on product according to claim 2, it is characterized in that, described processing datum is by MFAG figure to be processed is carried out to the geometric surface that the crossing computing of boolean obtains with the MFAG figure before product processing.
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| CN101216706A (en) * | 2007-12-28 | 2008-07-09 | 西安交通大学 | Tool bit effective machining area calculation based on three scan line and cutter path creation method |
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| Title |
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| 基于切削仿真的刀具-工件的参数化三维建模;盛精;《武汉理工大学学报》;20070731;第65-68页 * |
| 盛精.基于切削仿真的刀具-工件的参数化三维建模.《武汉理工大学学报》.2007,第65-68页. * |
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