CN105759724A - Intelligent programming method - Google Patents

Intelligent programming method Download PDF

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Publication number
CN105759724A
CN105759724A CN201610095325.1A CN201610095325A CN105759724A CN 105759724 A CN105759724 A CN 105759724A CN 201610095325 A CN201610095325 A CN 201610095325A CN 105759724 A CN105759724 A CN 105759724A
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face
array
designated
entity
technology characteristics
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孙丽君
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/18Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/4097Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM

Abstract

The invention discloses an intelligent programming method comprising the following steps: S1, extracting part feature information based on an STEP file; S2, expressing part process features and establishing a classification basis; S3, analyzing the similarity between machining processes; S4, defining process features; S5, establishing process feature identification rules based on combinative reasoning; and S6, generating a machining process according to the process features, and generating an NC code according to the setting of post-processing. According to the invention, the process features of a part model are identified by analyzing an STEP neutral file of the part model and the machining process of a part-like model and making use of feature identification rules based on sound reasoning, and a reusable machining process library is established based on the macro instruction function of Powermill and is combined with the identified process features. Therefore, a numerical-control automatic programming method with a learning function based on process feature recognition is realized, and seamless connection between a feature identification system and a CAM system is realized.

Description

A kind of intelligentized programmed method
Technical field
The present invention relates to Computerized Numerical Control processing technology field, particularly relate to a kind of intelligentized programmed method.
Background technology
The development of Computerized Numerical Control processing technology so that die industry is also in developing rapidly.It is known that Electric Discharge Machining is to shorten an effective way of die manufacturing cycle.Electrode, as the indispensable part of spark machined, is the principal element determining spark machined quality, and therefore electrode machining has become as a pith of digital control processing.The programming process of electrode machining is complicated, it is easy to make mistakes, and so how is effectively improved quality and the efficiency of electrode machining, becomes current electrode machining field problem demanding prompt solution.Solve these problems, from technological layer, it is simply that the integrated of CAD/CAPP/CAM will be realized.Realize the integrated of CAD/CAPP/CAM, on the one hand, need to carry out product data transform between different CAX application systems.In the process carrying out data exchange, links is required for repeatedly inputting, export and recombinating of data, seriously constrains production efficiency;And have very big inconsistent between different CAX systems in information sharing and data form etc..Particularly in the data sharing carried out on the integrated basis of information, existing many data interchange formats cannot realize, so that the data that enterprise generates between different platform or different system are difficult to share.On the other hand, existing CAD software is mostly with the form storage product information of geometry and topology, product information only a little, line, ring, the lower level such as face geological information, CAPP and follow-up system cannot understand the product information of this low level, and " island of automation " problem becomes the bottleneck that restriction CAD/CAPP/CAM is integrated.Feature identification is the geometry identifying from product model and having certain engineering significance, is the intelligence interface between CAD/CAPP/CAM, has very important significance to CAD/CAPP/CAM is integrated.Therefore, measured data exchange and feature identification, are realize the integrated important foundation of CAD/CAPP/CAM.As the exchange of measured data being combined with feature identification technique, then can realize CAD/CAPP/CAM more quickly integrated.
Data exchange ways can also be connected by Standard Data Format. and many systems have attempted to use the standards such as IGES, DXF, STEP to carry out the integrated of CAD/CAPP/CAM, and obtain certain progress.Owing to STEP standard is international data exchange standard, have that broad covered area, data representation level be deep, unambiguity, be suitable to the advantages such as computer disposal, therefore in selecting property file standard time first-selection STEP.The target of STEP standard is the complete product definition data model set up and run through product life cycle in each stage, and it will become one good basis of real integrated offer of CAD/CAPP/CAM.
The CAX system of main flow all supports a kind of STEP neutral file storage format now, therefore the Feature Recognition System based on STEP standard is developed, be combined with CAM platform again, set up the NC Auto-programming System of feature based identification, it is realize the integrated feasible and effective method of CAD/CAPP/CAM, and has important practical significance.But in the CNC automatic programming method of existing feature based identification, the feature identified is all the low-level image feature of part, is adding man-hour, it is necessary to engineer arranges processing technique one by one, and process is complicated, and easily makes mistakes.Therefore, how to identify the feature with processing technique information, and given corresponding processing technique, it is achieved automated programming truly, be current whole processing industry urgent problem.
Summary of the invention
The technical problem to be solved is to provide a kind of intelligentized programmed method, by STEP fileinfo being read and recombinating, effective entity information can be extracted from STEP, and set up the technology characteristics recognition rule based on combinational reasoning, the technology characteristics data base and the processing technique data base that pre-build the most at last map, the study programmed by post processing database realizing and derivation, and can be formed according to part specific features parameter can by the NC code of machine recognition, it is achieved intelligent programming.
For solving above-mentioned technical problem, the technical solution used in the present invention is: a kind of intelligentized programmed method, comprises the steps:
The first step: the part feature information based on STEP file extracts;
Second step: the expression of part process feature and the foundation of classification foundation;
3rd step: processing technique similarity analysis;
4th step: technology characteristics defines;
5th step: the technology characteristics recognition rule based on combinational reasoning is set up;
6th step: generate processing technique according to technology characteristics, and generate NC code according to arranging of postpositive disposal.
The described first step includes the foundation of lexical analyzer and extracts work form and the information storage of part feature information, first the data segment of STEP file is stored in TEXTBOX by the lexical analyzer set up, morphological analysis is carried out by the mode reading character string, the character of STEP file is divided into: space, letter, numeral and spcial character
Concrete read step is as follows:
1. first by short for the head of STEP file shielding, then the data segment of STEP neutral file is read in internal memory with the form of character string;
2. by read in data segment with ";" number it is split as array, it is deposited in Arr () array;Owing to the data segment of STEP file is from " DATA;" start, entity mark is from " #1 ", and therefore, Arr (0) namely represents DATA;Arr (1) namely represents the row that entity is masked as the entity place of " #1 ", and by that analogy, Arr (n) namely represents entity and is masked as the row at " #n " entity place;
3. find the row at CLOSED_SHELL place, and the line number representing ADVANCED_FACE is stored in array Arr_ad ();
4. the row in Arr_ad () array is read in successively, obtain the Boolean whether border, face of entity, curved surface and presentation-entity topology direction be identical with ring direction, be stored in respectively in array Face_bound_ID (), Surface_ID (), Same_sense ();
5. read directed edge from Face_bound_ID (), be stored in Oriented_edge () array;
6. from Oriented_edge () array, read row and the Boolean Directional Sign at curved side place, and the curved side read is stored in respectively in array Edge_curve_ID () and orientation ();
7. from Edge_curve_ID () array, read curve entity type, be stored in Curve_type () array, for instance the curve type read out is LINE or CIRCLE, be straight line or circular arc;
8. from Surface_ID () array, read the coordinate figure CARTESIAN_POINT in this face and represent axially direction value DIRECTION.Coordinate figure is stored in respectively in X (), Y (), Z () array, the value representing three directions of axially direction value x, y, z is stored in respectively in VX (), VY (), three arrays of VZ ();
When extracting data message, with "; ", "=", " # ", " symbol such as ' ", " (", ") ", ". " reads the character string in Arr () array element as decollator, after reading out entity information, character is converted into required data, thus obtain the such as each property value of entity number, entity, the information such as the entity number forming this entity, be stored in corresponding array;
The platform simultaneously stored using form as information, when computing with words, it is possible to directly invoke the data of M row N row in form.
Described second step includes the shape facility of part is divided into main feature and supplemental characteristic is expressed, and main feature is for expressing the Basic geometrical form of part, and supplemental characteristic is explained for expressing the local to main feature.
Described 3rd step includes utilizing group technology to part geometry shape similarity, architectural feature similarity, blank similarity, manufacturing procedure similarity, processing plan coughs up similarity and process tool similarity is analyzed, and the part of the property of will have like is sorted out in groups.
Described 5th step includes technology characteristics computing with words and technology characteristics recognition rule is set up, and described technology characteristics computing with words comprises the steps:
1) read information, find out datum level, be designated as base_face;Extract the normal vector of base_face, be designated as R=(X1,Y1,Z1);
2) find and n face of the shared geometrical boundary of base_face face limit FACE_BOUND, be designated as side_face for side, extract the normal vector S of each side_facei=((Ui,Vi,Wi) wherein i ∈ (1, n));
3) find with side_face common surface outside face, extracting z-axis vector is not the face of 0, finds out the face of x or y direction coordinate maximum absolute value, is designated as top_face, extracts the normal vector of top_face, is designated as T=(X2,Y2,Z2);
4) judge whether groove category feature groove, if it does, be designated as True, be absent from, be designated as False;
5) angle theta between base_face and top_face is calculated1Cosine value Ci.If the face type of composition top_face is not plane PLANE, then without calculating C, and it is designated as NULL:
C i = c o s ( X 1 X 2 + Y 1 Y 2 + Z 1 Z 2 X 1 2 + Y 1 2 + Z 1 2 + X 2 2 + Y 2 2 + Z 2 2 × π )
If the value of Ci is 1 or-1, then it is designated as True, is otherwise designated as False;
6) the cosine value D of all angle α between base_face and n side_face is calculatedi.If composition side_face face type one of them be not plane PLANE, then without calculating Di, and it is designated as NULL:
D i = c o s ( X 1 U i + Y 1 V i + Z 1 W i X 1 2 + Y 1 2 + Z 1 2 + U i 2 + V i 2 + W i 2 × π )
If CiValue be 0, then be designated as True, be otherwise designated as Fals;
Described technology characteristics recognition rule is set up and is included the information after according to restructuring, the feature according to technology characteristics, sets up the condition required for technology characteristics reasoning, then according to the feature of technology characteristics, condition is set up recognition rule, and then infer technology characteristics.
Described 6th step includes the foundation of data base, technology characteristics maps with processing technique and generates NC code, the foundation of described data base includes the foundation in technology characteristics storehouse, the structure in processing technique storehouse and the foundation of post processing data base, the foundation in technology characteristics storehouse includes mating after the computing with words extracted from STEP file and predefined technology characteristics storehouse, processing technique storehouse is based on PowerMILL macro document and sets up, first the numerical control programming being complete is recorded, and it is converted into database file preservation, extract the parameter needing amendment as the literary name section of data base, when using data base to operate on it, the parameter needing amendment is carried out assignment, realize the program calculation of PowerMILL cutter path;The mapping of technology characteristics and processing technique includes, with production mapping ruler, each technique is reasonably mapped to processing technique corresponding in PowerMILL, described post processing data base is for, after PowerMILL completes cutter path calculating, being converted into the NC code of machine recognition.
Adopt and have the beneficial effects that produced by technique scheme: by STEP fileinfo being read and recombinating, effective entity information can be extracted from STEP, and set up the technology characteristics recognition rule based on combinational reasoning, the technology characteristics data base and the processing technique data base that pre-build the most at last map, the study programmed by post processing database realizing and derivation, and can be formed according to part specific features parameter can by the NC code of machine recognition, it is achieved intelligent programming.
Accompanying drawing explanation
Fig. 1 is the flow chart of the present invention;
Fig. 2 is feature identification flow chart;
Fig. 3 is programming flow diagram.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
Elaborate a lot of detail in the following description so that fully understanding the present invention, but the present invention can also adopt other to be different from alternate manner described here to be implemented, those skilled in the art can do similar popularization when without prejudice to intension of the present invention, and therefore the present invention is not by the restriction of following public specific embodiment.
As it is shown in figure 1, the invention discloses a kind of intelligentized programmed method, comprise the steps:
The first step: the part feature information based on STEP file extracts;
Second step: the expression of part process feature and the foundation of classification foundation;
3rd step: processing technique similarity analysis;
4th step: technology characteristics defines;
5th step: the technology characteristics recognition rule based on combinational reasoning is set up;
6th step: generate processing technique according to technology characteristics, and generate NC code according to arranging of postpositive disposal.
The described first step includes the foundation of lexical analyzer and extracts work form and the information storage of part feature information, first the data segment of STEP file is stored in TEXTBOX by the lexical analyzer set up, carry out morphological analysis by the mode reading character string, the character of STEP file is divided into: space, letter, numeral and spcial character;
Concrete read step is as follows:
1. first by short for the head of STEP file shielding, then the data segment of STEP neutral file is read in internal memory with the form of character string;
2. by read in data segment with ";" number it is split as array, it is deposited in Arr () array;Owing to the data segment of STEP file is from " DATA;" start, entity mark is from " #1 ", and therefore, Arr (0) namely represents DATA;Arr (1) namely represents the row that entity is masked as the entity place of " #1 ", and by that analogy, Arr (n) namely represents entity and is masked as the row at " #n " entity place;
3. find the row at CLOSED_SHELL place, and the line number representing ADVANCED_FACE is stored in array Arr_ad ();
4. the row in Arr_ad () array is read in successively, obtain the Boolean whether border, face of entity, curved surface and presentation-entity topology direction be identical with ring direction, be stored in respectively in array Face_bound_ID (), Surface_ID (), Same_sense ();
5. read directed edge from Face_bound_ID (), be stored in Oriented_edge () array;
6. from Oriented_edge () array, read row and the Boolean Directional Sign at curved side place, and the curved side read is stored in respectively in array Edge_curve_ID () and orientation ();
7. from Edge_curve_ID () array, read curve entity type, be stored in Curve_type () array, for instance the curve type read out is LINE or CIRCLE, be straight line or circular arc;
8. from Surface_ID () array, read the coordinate figure CARTESIAN_POINT in this face and represent axially direction value DIRECTION.Coordinate figure is stored in respectively in X (), Y (), Z () array, the value representing three directions of axially direction value x, y, z is stored in respectively in VX (), VY (), three arrays of VZ ();
When extracting data message, with "; ", "=", " # ", " symbol such as ' ", " (", ") ", ". " reads the character string in Arr () array element as decollator, after reading out entity information, character is converted into required data, thus obtain the such as each property value of entity number, entity, the information such as the entity number forming this entity, be stored in corresponding array;
The platform simultaneously stored using form as information, when computing with words, it is possible to directly invoke the data of M row N row in form.
Described second step includes the shape facility of part is divided into main feature and supplemental characteristic is expressed, and main feature is for expressing the Basic geometrical form of part, and supplemental characteristic is explained for expressing the local to main feature.
Described 3rd step includes utilizing group technology to part geometry shape similarity, architectural feature similarity, blank similarity, manufacturing procedure similarity, processing plan coughs up similarity and process tool similarity is analyzed, and the part of the property of will have like is sorted out in groups.
Described 5th step includes technology characteristics computing with words and technology characteristics recognition rule is set up, and described technology characteristics computing with words comprises the steps:
1) read information, find out datum level, be designated as base_face;Extract the normal vector of base_face, be designated as R=(X1,Y1,Z1);
2) find and n face of the shared geometrical boundary of base_face face limit FACE_BOUND, be designated as side_face for side, extract the normal vector S of each side_facei=((Ui,Vi,Wi) wherein i ∈ (1, n));
3) find with side_face common surface outside face, extracting z-axis vector is not the face of 0, finds out the face of x or y direction coordinate maximum absolute value, is designated as top_face, extracts the normal vector of top_face, is designated as T=(X2,Y2,Z2);
4) judge whether groove category feature groove, if it does, be designated as True, be absent from, be designated as False;
5) angle theta between base_face and top_face is calculated1Cosine value Ci.If the face type of composition top_face is not plane PLANE, then without calculating C, and it is designated as NULL:
C i = c o s ( X 1 X 2 + Y 1 Y 2 + Z 1 Z 2 X 1 2 + Y 1 2 + Z 1 2 + X 2 2 + Y 2 2 + Z 2 2 × π )
If the value of Ci is 1 or-1, then it is designated as True, is otherwise designated as False;
6) the cosine value D of all angle α between base_face and n side_face is calculatedi.If composition side_face face type one of them be not plane PLANE, then without calculating Di, and it is designated as NULL:
D i = c o s ( X 1 U i + Y 1 V i + Z 1 W i X 1 2 + Y 1 2 + Z 1 2 + U i 2 + V i 2 + W i 2 × π )
If CiValue be 0, then be designated as True, be otherwise designated as Fals;
Described technology characteristics recognition rule is set up and is included the information after according to restructuring, feature according to technology characteristics, set up the condition required for technology characteristics reasoning, then condition is set up recognition rule according to the feature of technology characteristics, and then infer technology characteristics (referring to accompanying drawing 2).
Described 6th step includes the foundation of data base, technology characteristics maps with processing technique and generates NC code, the foundation of described data base includes the foundation in technology characteristics storehouse, the structure in processing technique storehouse and the foundation of post processing data base, the foundation in technology characteristics storehouse includes mating after the computing with words extracted from STEP file and predefined technology characteristics storehouse, processing technique storehouse is based on PowerMILL macro document and sets up, first the numerical control programming being complete is recorded, and it is converted into database file preservation, extract the parameter needing amendment as the literary name section of data base, when using data base to operate on it, the parameter needing amendment is carried out assignment, realize the program calculation of PowerMILL cutter path;The mapping of technology characteristics and processing technique includes, with production mapping ruler, each technique is reasonably mapped to processing technique corresponding in PowerMILL, described post processing data base is for, after PowerMILL completes cutter path calculating, being converted into the NC code (referring to accompanying drawing 3) of machine recognition.
In a word, the processing technique of present invention STEP neutral file and class part model by analyzing part model, utilize the feature identification rule based on reasonable speculation, the technology characteristics of part model is identified.Utilize the macro-instruction function of Powermill, set up reusable processing technique storehouse, and combine with the technology characteristics identified, achieve the CNC automatic programming method with learning functionality based on technology characteristics identification, reduce the requirement to programming personnel, improve quality and the efficiency of electrode machining, furthermore achieved that the seamless link of Feature Recognition System and CAM system.

Claims (6)

1. an intelligentized programmed method, it is characterised in that: comprise the steps:
The first step: the part feature information based on STEP file extracts;
Second step: the expression of part process feature and the foundation of classification foundation;
3rd step: processing technique similarity analysis;
4th step: technology characteristics defines;
5th step: the technology characteristics recognition rule based on combinational reasoning is set up;
6th step: generate processing technique according to technology characteristics, and generate NC code according to arranging of postpositive disposal.
2. the intelligentized programmed method of one according to claim 1, it is characterized in that: the described first step includes the foundation of lexical analyzer and extracts work form and the information storage of part feature information, first the data segment of STEP file is stored in TEXTBOX by the lexical analyzer set up, morphological analysis is carried out by the mode reading character string, being divided into by the character of STEP file: space, letter, numeral and spcial character, concrete read step is as follows:
1. first by short for the head of STEP file shielding, then the data segment of STEP neutral file is read in internal memory with the form of character string;
2. by read in data segment with ";" number it is split as array, it is deposited in Arr () array;Owing to the data segment of STEP file is from " DATA;" start, entity mark is from " #1 ", and therefore, Arr (0) namely represents DATA;Arr (1) namely represents the row that entity is masked as the entity place of " #1 ", and by that analogy, Arr (n) namely represents entity and is masked as the row at " #n " entity place;
3. find the row at CLOSED_SHELL place, and the line number representing ADVANCED_FACE is stored in array Arr_ad ();
4. the row in Arr_ad () array is read in successively, obtain the Boolean whether border, face of entity, curved surface and presentation-entity topology direction be identical with ring direction, be stored in respectively in array Face_bound_ID (), Surface_ID (), Same_sense ();
5. read directed edge from Face_bound_ID (), be stored in Oriented_edge () array;
6. from Oriented_edge () array, read row and the Boolean Directional Sign at curved side place, and the curved side read is stored in respectively in array Edge_curve_ID () and orientation ();
7. from Edge_curve_ID () array, read curve entity type, be stored in Curve_type () array, for instance the curve type read out is LINE or CIRCLE, be straight line or circular arc;
8. from Surface_ID () array, read the coordinate figure CARTESIAN_POINT in this face and represent axially direction value DIRECTION.Coordinate figure is stored in respectively in X (), Y (), Z () array, the value representing three directions of axially direction value x, y, z is stored in respectively in VX (), VY (), three arrays of VZ ();
When extracting data message, with "; ", "=", " # ", " symbol such as ' ", " (", ") ", ". " reads the character string in Arr () array element as decollator, after reading out entity information, character is converted into required data, thus obtain the such as each property value of entity number, entity, the information such as the entity number forming this entity, be stored in corresponding array;
The platform simultaneously stored using form as information, when computing with words, it is possible to directly invoke the data of M row N row in form.
3. the intelligentized programmed method of one according to claim 1, it is characterized in that: described second step includes the shape facility of part is divided into main feature and supplemental characteristic is expressed, main feature is for expressing the Basic geometrical form of part, and supplemental characteristic is explained for expressing the local to main feature.
4. the intelligentized programmed method of one according to claim 1, it is characterized in that: described 3rd step includes utilizing group technology to part geometry shape similarity, architectural feature similarity, blank similarity, manufacturing procedure similarity, processing plan coughs up similarity and process tool similarity is analyzed, and the part of the property of will have like is sorted out in groups.
5. the intelligentized programmed method of one according to claim 1, it is characterised in that: described 5th step includes technology characteristics computing with words and technology characteristics recognition rule is set up, and described technology characteristics computing with words comprises the steps:
1) read information, find out datum level, be designated as base_face;Extract the normal vector of base_face, be designated as R=(X1,Y1,Z1);
2) find and n face of the shared geometrical boundary of base_face face limit FACE_BOUND, be designated as side_face for side, extract the normal vector S of each side_facei=((Ui,Vi,Wi) wherein i ∈ (1, n));
3) find with side_face common surface outside face, extracting z-axis vector is not the face of 0, finds out the face of x or y direction coordinate maximum absolute value, is designated as top_face, extracts the normal vector of top_face, is designated as T=(X2,Y2,Z2);
4) judge whether groove category feature groove, if it does, be designated as True, be absent from, be designated as False;
5) angle theta between base_face and top_face is calculated1Cosine value Ci.If the face type of composition top_face is not plane PLANE, then without calculating C, and it is designated as NULL:
C i = c o s ( X 1 X 2 + Y 1 Y 2 + Z 1 Z 2 X 1 2 + Y 1 2 + Z 1 2 + X 2 2 + Y 2 2 + Z 2 2 × π )
If the value of Ci is 1 or-1, then it is designated as True, is otherwise designated as False;
6) the cosine value D of all angle α between base_face and n side_face is calculatedi.If composition side_face face type one of them be not plane PLANE, then without calculating Di, and it is designated as NULL:
D i = c o s ( X 1 U i + Y 1 V i + Z 1 W i X 1 2 + Y 1 2 + Z 1 2 + U i 2 + V i 2 + W i 2 × π )
If CiValue be 0, then be designated as True, be otherwise designated as Fals;
Described technology characteristics recognition rule is set up and is included the information after according to restructuring, the feature according to technology characteristics, sets up the condition required for technology characteristics reasoning, then according to the feature of technology characteristics, condition is set up recognition rule, and then infer technology characteristics.
null6. the intelligentized programmed method of one according to claim 1,It is characterized in that: described 6th step includes the foundation of data base、Technology characteristics maps with processing technique and generates NC code,The foundation of described data base includes the foundation in technology characteristics storehouse、The structure in processing technique storehouse and the foundation of post processing data base,The foundation in technology characteristics storehouse includes mating after the computing with words extracted from STEP file and predefined technology characteristics storehouse,Processing technique storehouse is based on PowerMILL macro document and sets up,First the numerical control programming being complete is recorded,And it is converted into database file preservation,Extract the parameter needing amendment as the literary name section of data base,When using data base to operate on it,The parameter needing amendment is carried out assignment,Realize the program calculation of PowerMILL cutter path;The mapping of technology characteristics and processing technique includes, with production mapping ruler, each technique is reasonably mapped to processing technique corresponding in PowerMILL, described post processing data base is for, after PowerMILL completes cutter path calculating, being converted into the NC code of machine recognition.
CN201610095325.1A 2016-03-31 2016-03-31 Intelligent programming method Pending CN105759724A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107678401A (en) * 2017-08-23 2018-02-09 沈阳机床股份有限公司 A kind of structural member large mold fast programming method based on threedimensional model
CN110715627A (en) * 2019-11-14 2020-01-21 昌河飞机工业(集团)有限责任公司 Helicopter maneuvering component-oriented three-coordinate measuring method
CN111650885A (en) * 2020-06-16 2020-09-11 北重阿尔斯通(北京)电气装备有限公司 Automatic programming method for numerical control machine tool

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101097569A (en) * 2006-06-29 2008-01-02 郑州大学 Part feature information modelling approach
US20110251912A1 (en) * 2010-04-07 2011-10-13 Susnjara Kenneth J Method for Producing Custom Composite Products
US20120101612A1 (en) * 2009-09-01 2012-04-26 Dennis Ray Thompson Personalizing New Or Already Existing Wheels To Match A Person's Particular Desire
CN103235556A (en) * 2013-03-27 2013-08-07 南京航空航天大学 Feature-based numerical-control method for processing and manufacturing complicated parts
CN103454974A (en) * 2013-09-22 2013-12-18 沈阳飞机工业(集团)有限公司 Intelligent numerical control programming method driven by complex component process scheme
CN104794133A (en) * 2014-01-21 2015-07-22 兰州大学 Conversion algorithm from CAD model to MCNP geometric model based on STEP text

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101097569A (en) * 2006-06-29 2008-01-02 郑州大学 Part feature information modelling approach
US20120101612A1 (en) * 2009-09-01 2012-04-26 Dennis Ray Thompson Personalizing New Or Already Existing Wheels To Match A Person's Particular Desire
US20110251912A1 (en) * 2010-04-07 2011-10-13 Susnjara Kenneth J Method for Producing Custom Composite Products
CN103235556A (en) * 2013-03-27 2013-08-07 南京航空航天大学 Feature-based numerical-control method for processing and manufacturing complicated parts
CN103454974A (en) * 2013-09-22 2013-12-18 沈阳飞机工业(集团)有限公司 Intelligent numerical control programming method driven by complex component process scheme
CN104794133A (en) * 2014-01-21 2015-07-22 兰州大学 Conversion algorithm from CAD model to MCNP geometric model based on STEP text

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨晓琴: ""基于工艺特征识别技术的数控自动编程方法研究"", 《中国优秀硕士学位论文全文数据库•工程科技Ⅰ辑》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107678401A (en) * 2017-08-23 2018-02-09 沈阳机床股份有限公司 A kind of structural member large mold fast programming method based on threedimensional model
CN110715627A (en) * 2019-11-14 2020-01-21 昌河飞机工业(集团)有限责任公司 Helicopter maneuvering component-oriented three-coordinate measuring method
CN110715627B (en) * 2019-11-14 2021-10-29 昌河飞机工业(集团)有限责任公司 Helicopter maneuvering component-oriented three-coordinate measuring method
CN111650885A (en) * 2020-06-16 2020-09-11 北重阿尔斯通(北京)电气装备有限公司 Automatic programming method for numerical control machine tool

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Application publication date: 20160713