CN116933446A - Identification method and device for injection molding gear feature model and electronic equipment - Google Patents
Identification method and device for injection molding gear feature model and electronic equipment Download PDFInfo
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Abstract
The application provides an identification method and device of an injection molding gear characteristic model and electronic equipment, wherein the method comprises the following steps: obtaining a digital model of a gear to be tested, wherein the digital model comprises a tooth surface and a rib surface; selecting a section line position based on the tooth surface and the rib surface; constructing a gear section according to the section line position, and calculating section parameters corresponding to the gear section; and calculating the similarity between the gear to be measured and the target gear based on a preset tooth profile condition and the section parameter. The application is beneficial to improving the production efficiency of gear injection molding.
Description
Technical Field
The present application relates to the technical field of gear feature recognition, and in particular, to a method and an apparatus for recognizing an injection molding gear feature model, and an electronic device.
Background
With the rapid development of computer software and hardware technology, the technology is deeply applied in mechanical manufacturing enterprises, and the enterprises have wide and urgent practical demands on computer-aided process design. Under the background, the mechanical design and manufacturing industry can make up the defects of the traditional mechanical design and manufacturing with the help of the computer aided technology, and the market competitiveness of enterprises is greatly improved.
Chinese patent publication No. CN114417544a discloses a rapid process design method for shell parts, by classifying the design shell parts, designing features and manufacturing features, building a manufacturing feature system of the shell parts and its attributes, designing detailed process models, building corresponding fine typical processes, and forming an example knowledge base; according to the category and fine typical process of the shell part to be designed, the manufacturing process set of the part to be designed is combined to form the manufacturing process of the shell part to be designed, and the typical process is reused, so that the aim of rapid and efficient process design is achieved, but for the process design of the injection molded gear, a process designer usually uses simulation software to simulate the injection molded gear molding process, further the accuracy of defect verification structural design and process design in predictive molding is achieved, and the gear is caused to depend on the technology and experience of the designer seriously in the manufacturing process, so that the identification method, the identification device and the electronic equipment of the injection molded gear feature model are provided, and the design efficiency of the gear injection molding process is very necessary.
Disclosure of Invention
In view of the above, the invention provides an identification method and device for an injection molding gear characteristic model and electronic equipment. Corresponding characteristic parameters are extracted accurately through the gear digital model, so that similar parts are stored and retrieved in the process of process design, the structure and the process parameters of the similar parts are extracted, and further the design efficiency of the gear injection molding process is improved.
The invention provides an identification method of an injection molding gear characteristic model, which is applied to model identification equipment, and comprises the following steps:
obtaining a digital model of a gear to be tested, wherein the digital model comprises a tooth surface and a rib surface;
selecting a section line position based on the tooth surface and the rib surface;
constructing a gear section according to the section line position, and calculating section parameters corresponding to the gear section;
and calculating the similarity between the gear to be measured and the target gear based on a preset tooth profile condition and the section parameter.
On the basis of the above technical solution, preferably, the selecting a position of a section line based on the rib surface and the tooth surface specifically includes:
based on the rib surface and the tooth surface, sector surface data of the gear to be detected are obtained, wherein the sector surface data comprise endpoint coordinates and normal directions of the sector surface;
acquiring sector grouping data based on the endpoint coordinates and the normal direction of the sector, wherein the sector grouping data comprises sector grouping members, the number of the sector grouping members and a sector grouping range corresponding to the sector grouping members;
judging whether the number of the fan-shaped groups is larger than the preset number of the groups or not;
And if the number of the fan-shaped groups is larger than the preset number of the groups, selecting an overlapped fan-shaped group range of any fan-shaped group member and other fan-shaped group members, and selecting the position of the section line in the overlapped fan-shaped group range.
On the basis of the above technical solution, preferably, the method for obtaining the tooth surface includes:
acquiring surface type data of the gear to be detected, wherein the surface type data comprises gear surfaces and the number of gear surfaces connected with the gear surfaces;
judging whether the number of the connected gear faces of the gear faces is equal to the number of preset face types or not;
and if the number of the connected gear faces is equal to the preset number of the face types, selecting the gear faces as tooth-shaped faces.
Still further preferably, the method for obtaining the rib noodles includes:
acquiring a first adjacent surface intersected with the sector surface based on the endpoint coordinates of the sector surface;
acquiring a second adjacent surface intersected with the first adjacent surface;
judging whether the second adjacent surface is parallel to the sector surface or not;
if the second adjacent surface is parallel to the sector surface, judging whether the second adjacent surface is the sector surface or not;
and if the second adjacent surface is not a sector surface, selecting the second adjacent surface as a rib surface.
Still further preferably, the constructing a gear section according to the section line position, and calculating a section parameter corresponding to the gear section specifically includes:
constructing a gear section according to the section line position to obtain a section line corresponding to the gear section;
normalizing the section line to obtain a standard section line;
and calculating section parameters corresponding to each partition in the standard section line based on the gear structure partition, wherein the gear structure partition comprises a through hole, a main reinforcing area, a secondary reinforcing area, a main interface area and a secondary interface area.
Still further preferably, the calculating the similarity between the gear to be measured and the target gear based on the preset tooth profile condition and the section parameter specifically includes:
judging whether the types of the gear to be detected and the target gear are the same;
if the types of the gear to be detected and the target gear are the same, judging whether the height ranges of the ribs of the gear to be detected and the target gear are consistent, wherein the consistent height ranges of the ribs indicate that the heights of the ribs of the gear to be detected and the target gear are simultaneously in a first height range or a second height range;
if the height ranges of the ribs of the gear to be detected and the target gear are consistent, judging whether the partition ratio of the gear to be detected to the target gear is in the same ratio range, wherein the partition ratio is the ratio of a main interface area to a main reinforcing area of the gear;
If the partition ratio of the gear to be detected to the target gear is in the same ratio range, judging whether the through hole opening states of the gear to be detected to the target gear are consistent, wherein the consistent through hole opening states indicate that the gear to be detected and the target gear are provided with through holes or are not provided with through holes;
and if the through hole opening states of the gear to be detected and the target gear are consistent, calculating the similarity between the gear to be detected and the target gear according to the section parameters and the section parameters of the target gear.
Still further preferably, the calculating the similarity between the gear to be measured and the target gear specifically includes:
wherein ,representing the similarity of the j-th section parameter in the gear to be measured and the target gear,/or>Representing the j-th section parameter in the gear to be measured,>represents the j-th cross-sectional parameter in said target gear,>representing taking the maximum value of a single section parameter in the gear to be detected and the target gear, wherein SIM represents the overall similarity of the gear to be detected and the target gear, < >>The influence factor corresponding to the similarity of the j-th cross-sectional parameter is represented.
In a second aspect of the application, there is provided an identification device for an injection molded gear feature model, the identification device comprising an acquisition module and a processing module, wherein,
The acquisition module is used for acquiring a digital model of the gear to be detected, wherein the digital model comprises a tooth surface and a rib surface;
the processing module is used for selecting a section line position based on the tooth-shaped surface and the rib surface, constructing a gear section according to the section line position, calculating a section parameter corresponding to the gear section, and calculating the similarity between the gear to be detected and the target gear based on a preset tooth-shaped condition and the section parameter.
In a third aspect of the application there is provided an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating to other devices, the processor for executing instructions stored in the memory.
In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, the computer program being executed by a processor to perform the steps of a method, apparatus and electronic device for identifying an injection molded gear feature model.
Compared with the prior art, the identification method and device for the injection molding gear characteristic model and the electronic equipment have the following beneficial effects:
(1) According to the application, the characteristic parameters corresponding to the current digital model can be accurately extracted through the digital model of the gear product, and the functions of the parameters, such as retrieval, similarity calculation and the like, of the later-stage gear product can be conveniently stored, and in the process of gear injection molding structural design and process design, similar parts are retrieved through stored gear data, and the structural and process parameters of the similar parts are extracted, so that the gear injection molding process design efficiency can be effectively improved, and the design time and design cost are reduced;
(2) Feature information such as structural parameters and technological parameters of the injection molding gear can be obtained rapidly through a digital model of the gear product, the technological design efficiency of the injection molding gear is improved remarkably, and the requirements on the professional level of designers are reduced.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an injection molding gear feature model identification method provided by the invention;
FIG. 2 is a schematic diagram of the distance between the main tooth surface and the containing core in the present coordinate system;
FIG. 3 is a schematic diagram of a model 1 gear provided by the present invention;
FIG. 4 is a schematic view of the overlapping area of gear sectors provided by the present invention;
FIG. 5 is a schematic diagram of selecting a rib face according to the present invention;
FIG. 6 is a cross-sectional line ordering diagram of two gear cross-sections provided by the present invention;
FIG. 7 is a schematic illustration of various cross-sectional line corrections provided by the present invention;
FIG. 8 is a schematic diagram of a gear structure partition provided by the present invention;
FIG. 9 is a schematic diagram of a first gear structure according to the present invention;
FIG. 10 is a schematic diagram of a second gear structure according to the present invention;
FIG. 11 is a schematic diagram of a third gear structure according to the present invention;
FIG. 12 is a schematic diagram of a fourth gear structure according to the present invention;
FIG. 13 is a schematic view of the gear step provided by the present invention;
fig. 14 is a schematic structural view of a gear through hole provided by the present invention;
fig. 15 is a schematic structural diagram of a gear main interface area PI provided by the present invention;
FIG. 16 is a schematic view of a first gear type according to the present invention;
FIG. 17 is a schematic diagram of a second gear type according to the present application;
FIG. 18 is a schematic view of a third gear type according to the present application;
FIG. 19 is a schematic view of a fourth gear-like structure according to the present application;
FIG. 20 is a schematic diagram of an identification device according to the present application;
fig. 21 is a schematic structural diagram of an electronic device provided by the present application.
Reference numerals illustrate: 1. an identification device; 11. an acquisition module; 12. a processing module; 2. an electronic device; 21. a processor; 22. a communication bus; 23. a user interface; 24. a network interface; 25. a memory.
Detailed Description
The following description of the embodiments of the present application will clearly and fully describe the technical aspects of the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to fall within the scope of the present application.
The embodiment of the application discloses a method for identifying a characteristic model of an injection gear, which comprises the steps of S1-S4 as shown in figure 1.
Step S1, a digital model of the gear to be detected is obtained, wherein the digital model comprises a tooth surface and a rib surface.
In the step, the tooth profile surface and the sector surface of the gear to be measured are obtained by traversing the digital model of the gear to be measured, and an identification coordinate system is determined according to the selected tooth profile surface, so that the rib surface of the gear to be measured is obtained.
Step S1 includes steps S11-S13, wherein,
and S11, acquiring surface type data of the gear to be detected, wherein the surface type data comprises a gear surface and the number of gear surfaces connected with the gear surface.
In this step, the face data is obtained by traversing a digital model of the gear to be measured.
And S12, judging whether the number of the connected gear faces of the gear faces is equal to the number of the preset face types.
In this step, the number of preset surface types is the number of the most adjacent surfaces in the gear to be measured.
And S13, if the number of the gear surfaces connected with each other is equal to the number of the preset surface types, selecting the gear surfaces as tooth surfaces.
In this step, the number of adjacent faces of each gear face of the gear to be measured is calculated, two gear faces with the largest number of adjacent faces are determined as tooth faces, any one of the gear faces is selected as a main tooth face, the other tooth face is selected as an auxiliary tooth face, and the main tooth face is used as an identification coordinate system (at this time, the Z-axis coordinates of the auxiliary tooth faces are all negative numbers). After the tooth surface is determined, the contour line of the tooth surface is extracted, and meanwhile, the tooth surface model is determined and stored (model 1 tooth is outside and model 2 tooth is inside).
In one example, as shown in fig. 2, the distance h1 between the main tooth surface and the top of the containing core and the distance h2 between the auxiliary tooth surface and the bottom of the containing core are calculated in the current coordinate system, if h2> h1, a new coordinate system newCSYS is created, the coordinate system is opposite to the current coordinate system, the original coordinate system is hidden, the marks of the main tooth surface and the auxiliary tooth surface are interchanged, and the distance between the two surfaces is calculated, namely the parameter tooth thickness b.
Referring to fig. 3, an inner ring radius R and a root radius R (i.e., the radius of the largest primary of the outer ring) of the gear are calculated, and the tooth radial thickness temporary parameter T is the difference between the root radius R and the inner ring radius R. After the outer surface of the gear to be measured is extracted, a tooth profile line, an identification coordinate system, a main tooth surface, an auxiliary tooth surface, a tooth width parameter b, a tooth radial thickness temporary parameter and a tooth profile parameter are output, and corresponding data are displayed and stored in a control mode, wherein the tooth profile parameter comprises the number of teeth, the radius of a tooth top circle and the radius of a tooth root circle of the gear to be measured, and other tooth profile parameters can be manually input by a user.
In one example, the shape of the gear may be determined by manually inputting local features by a user, for example, an intra-tooth gear, an external mounting post, an external gear, a clearance groove, a through hole, and parameter values corresponding to the features may be selected, where the parameter values include number, position (area of the primary tooth surface/secondary tooth surface), size from the central axis, height, and width.
And S2, selecting a section line position based on the tooth surface and the rib surface.
In this step, the tooth profile surface and the rib surface obtained by traversing the digital model of the gear to be measured are traversed, a plurality of groups of sector surfaces of the digital model of the gear to be measured are obtained, and the section line positions are selected in the overlapping sector areas of the sector surfaces and the rest sector surfaces, wherein the section line selection is shown in fig. 4, O represents the overlapping area, F represents the boundary line of the sector surface 1, and S represents the boundary line of the sector surface 2.
Step S2 includes steps S21-S24, wherein,
and S21, acquiring sector surface data of the gear to be tested based on the rib surface and the tooth surface, wherein the sector surface data comprise endpoint coordinates and normal directions of the sector surface.
In this step, the selection of the sector includes the following conditions: the normal direction of the surface is +Z or-Z, two circular arcs and two straight lines are in the positions of circular arc-straight line-circular arc-straight line, the two circular arcs are concentric, the center coordinates are the origin of the XOY surface, and the two straight lines are not parallel. When any sector of the gear to be measured is selected, the surface normal direction of the sector, the coordinates of the inner end points (the two end points with smaller distance from the origin) and the coordinates of the outer end points (the two end points with larger distance from the origin) are recorded, wherein the origin is the origin of coordinates of the identification coordinate system.
Step S22, based on the end point coordinates and the normal direction of the sector, sector grouping data is acquired, wherein the sector grouping data comprises sector grouping members, the number of the sector groupings and the sector grouping range corresponding to the sector grouping members.
In this step, the sector group members are determined by judging whether the surface normal direction of the currently selected sector is consistent and whether the Z value of any endpoint coordinate is consistent, and are divided into the same group only when the surface normal direction and the Z value of any endpoint coordinate are consistent with other sectors.
Step S23, judging whether the number of the sector packets is larger than the preset number of the packets.
In this step, since only the gear to be measured has two rib surfaces, the gear to be measured has only two sector surfaces, and there is no overlapping area between the two sector surfaces, the preset grouping number is selected to be 2.
Step S24, if the number of the fan-shaped groups is larger than the preset number of the groups, selecting an overlapped fan-shaped group range of any fan-shaped group member and other fan-shaped group members, and selecting a section line position in the overlapped fan-shaped group range.
In the step, the included angle area of the sector surface is the angle range between the two inner end points of the sector and the origin, and the overlapping area O can be more than one place and can be taken at one place; if the number of the sector groups is smaller than the preset number of the groups, the sector surface is randomly taken as a section line in the non-overlapping area O. After the position of the section line is selected, the intersection point of the section and the profile line of the tooth-shaped surface is recorded and is used as the section line insertion point to be displayed on an upper computer.
The step S2 also comprises a rib face acquisition method, and the step of the acquisition method comprises the following steps:
a first adjacent face intersecting the sector is obtained based on the endpoint coordinates of the sector.
In this step, as shown in fig. 5, the gear surface is traversed to find a sector, the normal direction and the end coordinates of the sector are recorded, and two straight sides of the sector are obtained through the four end coordinates of the sector, and optionally one straight side finds a first adjacent surface sharing the straight side with the sector, where L represents the straight side of the sector, FSF represents the first adjacent surface, SSF represents the second adjacent surface, and SE represents the sector.
In one example, the edge of the first adjacent surface is further extracted, the intersecting edge of the sector surface and the first adjacent surface is judged to be a straight line or an arc, and if the intersecting edge is an arc, the first adjacent surface is a circular angle surface; if the intersecting sides are straight lines, the first adjacent surface is planar, and it is also desirable that the first adjacent surface is not parallel to the fan-shaped surface (the first adjacent surface is not perfectly perpendicular to the fan-shaped surface, and there may be a slope between the first adjacent surface and the fan-shaped surface).
Acquiring a second adjacent surface intersected with the first adjacent surface;
Judging whether the second adjacent surface is parallel to the sector surface or not;
if the second adjacent surface is parallel to the sector surface, judging whether the second adjacent surface is the sector surface or not;
and if the second adjacent surface is not the sector surface, selecting the second adjacent surface as the rib surface.
In the above step, the rib surface is determined by searching for a second adjacent surface adjacent to the first adjacent surface and removing the non-planar and fan-shaped surfaces in the second adjacent surface.
In one example, another case is included when the first adjacent face is a rounded face.
Extracting edges of the first adjacent surfaces, judging whether the edges intersected with the collinear edges are straight lines or circular arcs, wherein the circular arcs are rounded surfaces, and the straight lines are planes;
the case of a plane is to determine that a first adjacent surface is not parallel to the sector (not perfectly perpendicular, possibly with a slope) and a second adjacent surface is parallel to the sector;
the case of a rounded surface is that a surface adjacent to the rounded surface is found as a first adjacent surface, and then coincides with the planar case.
In one example, the face normal is at an angle <90 ° to the sector (the normal is a rib, the included angle is a rib); and if the surface normal direction is +Z, the rib surface center point Z coordinate is greater than the sector surface Z coordinate, and if the surface normal direction is-Z, the rib surface center point Z coordinate is less than the sector surface Z coordinate.
And acquiring parameters of each sector group, the section insertion point, the section and the rib according to the extracted outer surface of the gear to be detected. The sector group parameters include: sector length = outside radius-inside radius, sector normal, sector Z axis coordinate value, sector number. The rib parameters include: rib pattern (ribs ), rib height = rib face center Z value-sector Z value, rib width, rib slope = first adjacent face to sector angle, rib number = corresponding sector number.
The rib width calculation includes: optionally, a corresponding end point in the sector is marked as a starting point, the radian between the end point in the group of the sector where the traversal is located and the point, and the point with the smallest radian are used as a target point, and the distance between the target point and the starting point is calculated.
In one example, when the sectors have no overlapping area O, the section line may be created manually, the manual creation of the section line comprising the steps of: 1. optionally selecting a point on the gear to be tested; 2. the point and the coordinate Z axis form a cross section; 3. calculating the intersection line of the section and the gear to be measured; 4. displaying the pointing direction on the interface; 5. whether the control is reverse or not; 6. the section line is cut in the direction. Similarly, when the overlapping area O exists on the sector surface, the selection of points on the gear to be detected and the formation of a section on the coordinate Z axis are not needed, and other steps are consistent.
And S3, constructing a gear section according to the section line position, and calculating section parameters corresponding to the gear section.
In this step, by constructing a gear section, after the gear section is corrected, the section parameters corresponding to each partition in the corrected gear section are obtained, and the section line ordering is shown in fig. 6.
Step S3 includes steps S31-S33, wherein,
and S31, constructing a gear section according to the section line position to obtain a section line corresponding to the gear section.
Step S32, the section lines are standardized to obtain standard section lines.
In this step, the outermost point at which the cross-sectional line intersects the main tooth surface is the main side start point, and the outermost point at which the cross-sectional line intersects the sub tooth surface is the sub side start point. Normalizing the section line comprises the following correction processes, as shown in fig. 7, performing round-corner removal and chamfering operations on the section with round corners or chamfers, and obtaining the intersection point of two corrected intersecting lines; reconstructing the arc into a straight line when the arc height h is less than 0.2mm and into a rectangle when the arc height h is more than 0.2 mm; reconstructing a section line with a micro groove, reconstructing the micro groove into a straight line when the groove height h is less than 0.2mm, and reconstructing the section line with a micro boss into the straight line under the same condition; for a cross-section line with threads, whether the threads exceed the inner diameter of the through hole or not is judged, and if the threads do not exceed the inner diameter of the through hole, the threads are reconstructed into straight lines.
Step S33, calculating section parameters corresponding to each partition in the standard section line based on the gear structure partition, wherein the gear structure partition comprises a through hole, a main reinforcement region MR, a secondary reinforcement region SR, a main interface region PI and a secondary interface region SI.
In this step, the gear structure is partitioned as shown in FIG. 8, wherein the overall dimensional parameters include diameter 2W and height H.
The main reinforcement region MR is a region connected with the main gear surface SG (or the main gear surface SG) and the gear external interface, and the main reinforcement region MR size parameters include: total length W20, tooth thickness T20; a (annular structure) plane position H21, a ring rib position W21, a ring rib height H22, and a ring rib width W22; (reinforcing rib structure) plane position H21, rib number, rib height H22 and rib width W22.
The main interface area PI is an external interface area of the gear, the main interface area PI is connected with the main reinforcing area MR, and the size parameters of the main interface area PI comprise: width W10, height H10, hole dimension W12, hole depth H12, undercut hole dimension, and number of steps.
The tooth zone DZ dimension parameter comprises tooth width b.
The secondary reinforcement region SR is a region connected to the secondary gear face (or secondary gear face) and connected to the external gear interface, and the secondary reinforcement region SR includes: total length W40, tooth thickness T40; (annular structure) plane position H41, annular rib position W41, annular rib height H42, annular rib width W42; (reinforcing rib structure) plane position H41, rib number, rib height H42 and rib width W42.
The secondary interface area SI size parameters include: width W50, height H50, hole dimension W52, hole depth H52, undercut hole dimension, and number of steps.
In one example, as shown in fig. 9, the gear to be measured is a half section of the type 1 main gear face SG.
Annular rib structure: the starting point SP is the starting point of the tooth-shaped zone DZ, the outer end point of the main gear surface SG of the section line, and the end point D is the inner end point of the No. 7 line.
The main enhancement region MR condition judgment includes: the coordinates of the No. 1 line to the No. 7 line, the No. 2 line trend-Z direction (the trend is not necessarily 90 degrees), the No. 4 line trend +Z direction (the trend is not necessarily 90 degrees), the No. 3 line and the No. 7 line are consistent in the Z direction, wherein W23 is more than or equal to 1mm, W23/W21 is more than or equal to 1/3, and T is less than W20.
Parameter acquisition: t (temporary storage parameter T when extracting profile of tooth profile line), line number 2 vertical length H21, annular muscle size includes: the vertical length H22 of line 4, the length of the main reinforcement MR is W20 (the distance between the outer end of line 3 and the inner end of line 7) +T.
Similarly, the gear to be measured and the xoy plane are in mirror symmetry to obtain a pinion gear surface of the gear, and the annular rib structure is as follows: the starting point SP is the starting point of the tooth-shaped zone DZ, the outer end point of the section line pinion gear surface, and the end point D is the inner end point of the No. 7 line.
And judging the MR condition of the main enhancement region: the coordinates of the line 1 to the line 7, the line 2 in the direction +Z (the direction is not necessarily 90 degrees), the line 4 in the direction-Z (the direction is not necessarily 90 degrees), the line 3 and the line 7 are consistent in the Z direction, wherein W43> = 1mm, W43/W41 is more than or equal to 1/3, and T < W40.
Parameter acquisition: t (temporary storage parameter T when extracting tooth profile outline), the vertical length H41 of the No. 2 line, and the annular rib size include: annular rib height = vertical length H42 of No. 4 wires, and the length of secondary reinforcement region SR is W40 (No. 3 wire outer end and No. 7 wire inner end distance) +t.
The following examples are presented for the face of the secondary gear of mirror symmetry of the primary gear face SG about the xoy plane.
In one example, as shown in fig. 10, the gear to be measured is half the cross-section of the type 1 main gear face.
Reinforcing rib structure: the starting point SP is the starting point of the tooth-shaped zone DZ, the outer end point of the main gear surface SG of the section line, and the end point D is the inner end point of the No. 3 line.
The main enhancement region MR condition judgment includes: trend-Z direction (trend is not necessarily 90 °), T from line 1 to line 3, line 2<W20 and line 3 are compared with sector information in the determined section position outputIn the above, the Z value of line No. 3=the Z value of the sector, and the sector direction is +z direction, the sector length e [60%W20，W20]Then a rib structure exists.
Parameter acquisition: t (temporary storage parameter T when extracting tooth profile contour line), the vertical length H21 of the No. 2 line, the total length of the reinforcing area is the length W20+T of the No. 3 line, the height H22 of the reinforcing rib parameter, and the number n22 of the reinforcing ribs (relevant rib output parameters for determining the section position).
In one example, as shown in FIG. 11, the gear under test is half the cross-section of the type 1 main gear face.
Reinforcing rib structure: the starting point SP is the starting point of the tooth-shaped zone DZ, the outer end point of the main gear surface SG of the section line, and the end point D is the inner end point of the No. 3 line.
The main enhancement region MR condition judgment includes: trend-Z direction (trend is not necessarily 90 °), T from line 1 to line 3, line 2<W20 and line 3 are compared with sector information in the output of the determined section position, the Z value of line 3=the Z value of the sector, the sector direction is +Z direction, and the sector length E [80%W20，W20]Then no rib structure exists.
Parameter acquisition: t (temporary storage parameter T when extracting tooth profile outline), the vertical length H21 of the No. 2 line, and the total length of the reinforced area is equal to the length W20+T of the No. 3 line.
In one example, as shown in fig. 12, the gear to be measured is half the cross-section of the type 1 main gear face.
Annular rib structure: the starting point SP is the starting point of the tooth-shaped zone DZ, the outer end point of the main gear surface SG of the section line, and the end point D is the inner end point of the No. 5 line.
And judging the MR condition of the main enhancement region: the coordinates of the line 1 to the line 5, the line 2 in the +z direction (the direction is not necessarily 90 °) and the line 1 and the line 5 coincide in the Z direction, w21=t, w23> =1 mm, w23> =w21.
Parameter acquisition: the height of the annular rib dimension is the vertical length H22 of the No. 2 line, the total length w20=w20' +t.
In this embodiment, as shown in fig. 13, SS represents the slider structure of the gear, DH represents the glue-drawing port of the gear, and the end point D of the step is the highest point, but the highest point is not unique, and the point closest to the central axis is generally taken. The step line numbering method comprises the following steps: and (3) taking line segment numbers from a starting point SP to a terminal point D, recording parameters of the step area, searching a glue drawing opening and searching a sliding block structure. Wherein step width w11=horizontal distance of start point SP and end point D, step height h11=z-axis distance of start point SP and end point D, and step number n11=tempn11.
The step of finding the glue drawing opening comprises the following steps: and traversing all lines in the SP area of the starting point, wherein the direction of the lines is Z (for example, 8 lines), and a glue drawing port exists. The parameters of the glue drawing port comprise: the glue drawing port position=9 horizontal distance between the inner end of the number line and the central shaft, the glue drawing port depth=8 minimum length of the number line and the number 10 minimum length, and if the number 8 line and the number 10 line are equal, the number of steps n11=n11-1 and the glue drawing port width=9 horizontal distance.
In this embodiment, as shown in fig. 14, the start point SP of the through hole is the highest point, and the start line direction is the-Z direction (possibly with an included angle). The via numbering method comprises the following steps: line segment numbers, hole parameters are recorded and reverse boss structures are found from the starting point SP to the ending point D. Wherein the connecting hole area width w12=the horizontal distance between the starting point SP and the ending point D, the step area height h12=the numerical distance between the minimum value of the Z axis and the starting point SP and the step number n12, all lines traversing the ending point D area. The condition for searching the reverse boss structure is that the trend of the No. 1 line and the No. 2 line is downward.
In this embodiment, as shown in fig. 15, the start point D and the end point D of the main interface area PI do not coincide, and the line No. 1 goes in the-Z direction (the trend may not be 90 °). The start point SP is the end point of the main reinforcement region MR, and the end point D is the point where the Z-axis value of the closest two points (or intersection points) of the central axis is larger.
The judging conditions of the main interface area PI include: the start point SP and the end point D do not overlap, the line No. 1 running to the start point SP is in the-Z direction, the line No. 3 running to the +z direction, and the end point D is not the highest point of the main interface area PI (excluding the start point SP). The highest point of the main interface area PI is found at the starting point SP and the ending point D of the line No. 3, the highest point is not unique, the point closest to the central axis is taken, steps are formed from the starting point SP of the line No. 3 to the highest point, holes are formed from the ending point D to the highest point, and the lines No. 1 and 2 are pits. Master interface region PI width w10=horizontal distance of start point SP and end point D, and master interface region PI height h10=z-axis distance of start point SP and highest point.
And S4, calculating the similarity between the gear to be measured and the target gear based on the preset tooth profile conditions and the section parameters.
Step S4 includes steps S41-S43, wherein,
step S41, judging whether the types of the gear to be detected and the target gear are the same.
In this step, as shown in fig. 16, the first kind of gear is shown, where the main reinforcement region MR rib height is h (h has no value of 0, and the numerical range is 0 for the product impact of [0,3 ]), the main interface region PI length/main reinforcement region MR length is T, and the gear web thicknesses from top to bottom are respectively: tooth width b-primary reinforcement MR groove depth-secondary reinforcement SR groove depth, tooth width b-primary reinforcement MR groove depth, and tooth width b-secondary reinforcement SR groove depth. Fig. 17-19 are a second type, a third type and a fourth type of gears, respectively, wherein the main reinforcement MR rib height h and the main interface PI length/main reinforcement MR length are the same as those calculated in the first type.
And step S42, if the types of the gear to be detected and the target gear are the same, judging whether the rib height ranges of the gear to be detected and the target gear are consistent, wherein the rib height ranges are consistent, and the rib heights of the gear to be detected and the target gear are simultaneously in the first height range or the second height range.
In this step, the first height range H1 may be set to 0< H1<3mm and the second height range H2 may be set to H1>3mm, wherein the rib height is within 3mm, defaulting to no rib height.
In step S43, if the rib height ranges of the gear to be measured and the target gear are consistent, it is determined whether the partition ratio of the gear to be measured and the target gear is in the same ratio range, where the partition ratio is the ratio of the main interface region PI of the gear to the main reinforcement region MR.
In this step, the partition ratio t of the gear can be divided into three ranges including 0, (0, 1) and (1, positive infinity).
And S44, judging whether the through hole opening states of the gear to be detected and the target gear are consistent if the partition ratio of the gear to be detected and the target gear is in the same ratio range, wherein the consistent through hole opening states indicate that the gear to be detected and the target gear are provided with through holes or are not provided with through holes.
Step S45, if the through hole opening states of the gear to be detected and the target gear are consistent, calculating the similarity between the gear to be detected and the target gear according to the section parameters and the section parameters of the target gear.
In this step, the similarity between the gear to be measured and the target gear is calculated, specifically:
wherein ,representing the similarity of the jth section parameter in the gear to be tested and the target gear,/for>Represents the j-th section parameter in the gear to be measured, < + >>Represents the j-th section parameter in the target gear, < >>Representing taking the maximum value of single section parameters in the gear to be tested and the target gear, and SIM represents the overall similarity of the gear to be tested and the target gear,>the influence factor corresponding to the similarity of the j-th cross-sectional parameter is represented.
According to the application, the characteristic parameters corresponding to the current digital model can be accurately extracted through the digital model of the gear product, meanwhile, the parameters can be stored, the functions of searching for the gear product at the later stage, calculating the similarity and the like are facilitated, in the process of structural design and process design of gear injection molding, similar parts are searched for through stored gear data, and the structural and process parameters of the similar parts are extracted, so that the design efficiency of the gear injection molding process can be effectively improved, and the design time and the design cost are reduced.
Based on the above method, the embodiment of the present application discloses an identification device for an injection molding gear feature model, and referring to fig. 20, a simulation design device 1 includes an acquisition module 11 and a processing module 12, wherein,
the acquisition module 11 is used for acquiring a digital model of the gear to be detected, wherein the digital model comprises a tooth surface and a rib surface;
the processing module 12 is configured to select a section line position based on the tooth profile surface and the rib surface, construct a gear section according to the section line position, calculate a section parameter corresponding to the gear section, and calculate a similarity between the gear to be measured and the target gear based on a preset tooth profile condition and the section parameter.
In one example, based on the rib surface and the tooth surface, the obtaining module 11 is configured to obtain sector data of the gear to be measured, where the sector data includes an endpoint coordinate and a normal direction of the sector; the acquiring module 11 is configured to acquire fan-shaped packet data based on the endpoint coordinates and the normal direction of the fan-shaped surface, where the fan-shaped packet data includes fan-shaped packet members, the number of fan-shaped packets, and a fan-shaped packet range corresponding to the fan-shaped packet members; the processing module 12 is configured to determine whether the number of fan-shaped packets is greater than a preset number of packets; if the number of fan-shaped groups is greater than the preset number of groups, the processing module 12 is configured to select an overlapping fan-shaped group range of any fan-shaped group member and the remaining fan-shaped group members, and select a section line position in the overlapping fan-shaped group range.
In one example, the obtaining module 11 is configured to obtain face type data of a gear to be measured, where the face type data includes a gear face and a number of gear faces that meet the gear face; the processing module 12 is used for judging whether the number of the connected gear faces of the gear faces is equal to the number of the preset face types; if the number of the gear faces is equal to the preset number of the face types, the processing module 12 is used for selecting the gear face as the tooth-shaped face.
In one example, based on the coordinates of the end points of the sector, the obtaining module 11 is configured to obtain a first adjacent surface intersecting the sector, and obtain a second adjacent surface intersecting the first adjacent surface; the processing module 12 is configured to determine whether the second adjacent surface is parallel to the sector; if the second adjacent surface is parallel to the sector surface, the processing module 12 is configured to determine whether the second adjacent surface is a sector surface; if the second adjacent surface is not a sector, the processing module 12 is configured to select the second adjacent surface as a rib surface.
In one example, the gear section is constructed according to the section line position, and the acquisition module 11 is used for acquiring a section line corresponding to the gear section; the processing module 12 is used for normalizing the section line to obtain a standard section line; the processing module 12 is configured to calculate cross-sectional parameters corresponding to each partition in the standard cross-sectional line based on the gear structure partition, where the gear structure partition includes a through hole, a main reinforcement region MR, a secondary reinforcement region SR, a main interface region PI, and a secondary interface region SI.
In one example, the processing module 12 is configured to determine whether the types of the gear to be measured and the target gear are the same; if the types of the gear to be measured and the target gear are the same, the processing module 12 is configured to determine whether the rib height ranges of the gear to be measured and the target gear are consistent, where the consistent rib height ranges indicate that the rib heights of the gear to be measured and the target gear are in the first height range or the second height range at the same time; if the rib height ranges of the gear to be tested and the target gear are consistent, the processing module 12 is configured to determine whether the partition ratio of the gear to be tested and the target gear is in the same ratio range, where the partition ratio is the ratio of the main interface region PI of the gear to the main reinforcement region MR; if the partition ratio of the gear to be measured and the target gear is in the same ratio range, the processing module 12 is configured to determine whether the through hole opening states of the gear to be measured and the target gear are consistent, where the consistent through hole opening states indicates that the gear to be measured and the target gear are both or neither of the gear to be measured and the target gear are provided with through holes; if the through holes of the gear to be measured and the target gear are consistent, the processing module 12 is configured to calculate the similarity between the gear to be measured and the target gear according to the section parameter and the section parameter of the target gear.
In one example, the similarity between the gear under test and the target gear is calculated, specifically:
wherein ,representing the similarity of the jth section parameter in the gear to be tested and the target gear,/for>Represents the j-th section parameter in the gear to be measured, < + >>Represents the j-th section parameter in the target gear, < >>Representing taking the maximum value of single section parameters in the gear to be tested and the target gear, and SIM represents the overall similarity of the gear to be tested and the target gear,>the influence factor corresponding to the similarity of the j-th cross-sectional parameter is represented.
Referring to fig. 21, a schematic structural diagram of an electronic device is provided in an embodiment of the present application. As shown in fig. 5, the electronic device 2 may include: at least one processor 21, at least one network interface 24, a user interface 23, a memory 25, at least one communication bus 22.
Wherein the communication bus 22 is used to enable connected communication between these components.
The user interface 23 may include a Display screen (Display), a Camera (Camera), and the optional user interface 23 may further include a standard wired interface, a wireless interface.
The network interface 24 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 21 may comprise one or more processing cores. The processor 21 connects various parts within the overall server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 25, and invoking data stored in the memory 25. Alternatively, the processor 21 may be implemented in hardware in at least one of digital signal processing (DigitalSignalProcessing, DSP), field programmable gate array (Field-ProgrammableGateArray, FPGA), and programmable logic array (ProgrammableLogicArray, PLA). The processor 21 may integrate one or a combination of several of a central processor (CentralProcessingUnit, CPU), an image processor (GraphicsProcessingUnit, GPU), a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 21 and may be implemented by a single chip.
The memory 25 may include a random access memory (RandomAccessMemory, RAM) or a Read-only memory (Read-only memory). Optionally, the memory 25 comprises a non-transitory computer readable medium (non-transitoroompter-readabblestonemam). Memory 25 may be used to store instructions, programs, code sets, or instruction sets. The memory 25 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 25 may alternatively be at least one memory device located remotely from the aforementioned processor 21. As shown in fig. 21, an operating system, a network communication module, a user interface module, and an application program of the identification method of the injection gear characteristic model may be included in the memory 25 as one type of computer storage medium.
In the electronic device 2 shown in fig. 21, the user interface 23 is mainly used as an interface for providing input for a user, and obtains data input by the user; and processor 21 may be used to invoke an application program in memory 25 that stores identification methods of injection molded gear feature models, which when executed by one or more processors, cause the electronic device to perform one or more of the methods as in the embodiments described above.
A computer readable storage medium having instructions stored thereon. When executed by one or more processors, cause a computer to perform a method such as one or more of the embodiments described above.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The above is merely an exemplary embodiment of the present disclosure and the scope of the present disclosure should not be limited thereto. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains.
Claims (10)
1. An identification method of an injection molding gear characteristic model, which is applied to model identification equipment, is characterized in that the method comprises the following steps:
obtaining a digital model of a gear to be tested, wherein the digital model comprises a tooth surface and a rib surface;
selecting a section line position based on the tooth surface and the rib surface;
constructing a gear section according to the section line position, and calculating section parameters corresponding to the gear section;
and calculating the similarity between the gear to be measured and the target gear based on a preset tooth profile condition and the section parameter.
2. The method according to claim 1, wherein selecting a cross-sectional line position based on the rib face and the tooth face comprises:
Based on the rib surface and the tooth surface, sector surface data of the gear to be detected are obtained, wherein the sector surface data comprise endpoint coordinates and normal directions of the sector surface;
acquiring sector grouping data based on the endpoint coordinates and the normal direction of the sector, wherein the sector grouping data comprises sector grouping members, the number of the sector grouping members and a sector grouping range corresponding to the sector grouping members;
judging whether the number of the fan-shaped groups is larger than the preset number of the groups or not;
and if the number of the fan-shaped groups is larger than the preset number of the groups, selecting an overlapped fan-shaped group range of any fan-shaped group member and other fan-shaped group members, and selecting the position of the section line in the overlapped fan-shaped group range.
3. The method according to claim 1, wherein the tooth surface acquisition method comprises:
acquiring surface type data of the gear to be detected, wherein the surface type data comprises gear surfaces and the number of gear surfaces connected with the gear surfaces;
judging whether the number of the connected gear faces of the gear faces is equal to the number of preset face types or not;
and if the number of the connected gear faces is equal to the preset number of the face types, selecting the gear faces as tooth-shaped faces.
4. The method of claim 2, wherein the method of obtaining the rib face comprises:
acquiring a first adjacent surface intersected with the sector surface based on the endpoint coordinates of the sector surface;
acquiring a second adjacent surface intersected with the first adjacent surface;
judging whether the second adjacent surface is parallel to the sector surface or not;
if the second adjacent surface is parallel to the sector surface, judging whether the second adjacent surface is the sector surface or not;
and if the second adjacent surface is not a sector surface, selecting the second adjacent surface as a rib surface.
5. The method according to claim 1, wherein the constructing a gear section according to the section line position, and calculating the section parameter corresponding to the gear section specifically includes:
constructing a gear section according to the section line position to obtain a section line corresponding to the gear section;
normalizing the section line to obtain a standard section line;
and calculating section parameters corresponding to each partition in the standard section line based on the gear structure partition, wherein the gear structure partition comprises a through hole, a main reinforcing area, a secondary reinforcing area, a main interface area and a secondary interface area.
6. The method according to claim 1, wherein the calculating the similarity between the gear to be measured and the target gear based on the preset tooth profile condition and the section parameter specifically includes:
judging whether the types of the gear to be detected and the target gear are the same;
if the types of the gear to be detected and the target gear are the same, judging whether the height ranges of the ribs of the gear to be detected and the target gear are consistent, wherein the consistent height ranges of the ribs indicate that the heights of the ribs of the gear to be detected and the target gear are simultaneously in a first height range or a second height range;
if the height ranges of the ribs of the gear to be detected and the target gear are consistent, judging whether the partition ratio of the gear to be detected to the target gear is in the same ratio range, wherein the partition ratio is the ratio of a main interface area to a main reinforcing area of the gear;
if the partition ratio of the gear to be detected to the target gear is in the same ratio range, judging whether the through hole opening states of the gear to be detected to the target gear are consistent, wherein the consistent through hole opening states indicate that the gear to be detected and the target gear are provided with through holes or are not provided with through holes;
And if the through hole opening states of the gear to be detected and the target gear are consistent, calculating the similarity between the gear to be detected and the target gear according to the section parameters and the section parameters of the target gear.
7. The method according to claim 6, wherein the calculating the similarity between the gear to be measured and the target gear is specifically:
；
；
wherein ,representing the similarity of the j-th section parameter in the gear to be measured and the target gear,/or>Representing the j-th section parameter in the gear to be measured,>represents the j-th cross-sectional parameter in said target gear,>representing taking the maximum value of a single section parameter in the gear to be detected and the target gear, wherein SIM represents the overall similarity of the gear to be detected and the target gear, < >>The influence factor corresponding to the similarity of the j-th cross-sectional parameter is represented.
8. An identification device for an injection molded gear feature model, characterized in that the identification device (1) comprises an acquisition module (11) and a processing module (12), wherein,
the acquisition module (11) is used for acquiring a digital model of the gear to be detected, wherein the digital model comprises a tooth surface and a rib surface;
The processing module (12) is used for selecting a section line position based on the tooth profile surface and the rib surface, constructing a gear section according to the section line position, calculating a section parameter corresponding to the gear section, and calculating the similarity between the gear to be detected and the target gear based on a preset tooth profile condition and the section parameter.
9. An electronic device comprising a processor (21), a memory (25), a user interface (23) and a network interface (24), the memory (25) being adapted to store instructions, the user interface (23) and the network interface (24) being adapted to communicate to other devices, the processor (21) being adapted to execute the instructions stored in the memory (25) to cause the electronic device (2) to perform the method according to any of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1-7.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07129226A (en) * | 1993-11-05 | 1995-05-19 | Mitsubishi Electric Corp | Cad/cam system |
| WO2019227293A1 (en) * | 2018-05-28 | 2019-12-05 | 株洲齿轮有限责任公司 | Gear tooth profile smoothness evaluation method and gear tooth profile modification method |
| CN113836605A (en) * | 2021-09-08 | 2021-12-24 | 华中科技大学 | Intelligent management system for gear metal powder injection molding |
| CN113901639A (en) * | 2021-09-08 | 2022-01-07 | 华中科技大学 | Intelligent manufacturing system for gear injection molding |
| CN116628864A (en) * | 2023-07-24 | 2023-08-22 | 武汉华锋惠众科技有限公司 | Cross section line construction method based on whole and partial constraint |
-
2023
- 2023-09-15 CN CN202311194505.1A patent/CN116933446B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07129226A (en) * | 1993-11-05 | 1995-05-19 | Mitsubishi Electric Corp | Cad/cam system |
| WO2019227293A1 (en) * | 2018-05-28 | 2019-12-05 | 株洲齿轮有限责任公司 | Gear tooth profile smoothness evaluation method and gear tooth profile modification method |
| CN113836605A (en) * | 2021-09-08 | 2021-12-24 | 华中科技大学 | Intelligent management system for gear metal powder injection molding |
| CN113901639A (en) * | 2021-09-08 | 2022-01-07 | 华中科技大学 | Intelligent manufacturing system for gear injection molding |
| CN116628864A (en) * | 2023-07-24 | 2023-08-22 | 武汉华锋惠众科技有限公司 | Cross section line construction method based on whole and partial constraint |
Non-Patent Citations (4)
| Title |
|---|
| 任楷飞;孟令军;顾泽凌;: "基于LabVIEW的塑料齿轮缺齿检测系统设计", 现代电子技术, no. 04, pages 96 - 99 * |
| 张海明: "注塑模具零件的特征提取与实例工艺推理技术", 《中国优秀硕士学位论文全文数据库工程科技Ⅰ辑》, pages 016 - 81 * |
| 杨化林;童水光;吴荣仁;: "基于范例推理的注塑模具设计自动化技术", 机械工程学报, no. 10, pages 294 - 299 * |
| 陈友玲;汪建斌;谷梦瑶;: "MC环境下基于案例推理的零件相似度与工时估算研究", 计算机应用研究, no. 11, pages 99 - 104 * |
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