CN116394520A - Grid support structure generation method and device, electronic equipment and storage medium - Google Patents
Grid support structure generation method and device, electronic equipment and storage medium Download PDFInfo
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- 238000002910 structure generation Methods 0.000 title claims abstract description 43
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- 238000010146 3D printing Methods 0.000 claims abstract description 18
- 238000004590 computer program Methods 0.000 claims description 12
- 238000007639 printing Methods 0.000 claims description 10
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/30—Auxiliary operations or equipment
- B29C64/386—Data acquisition or data processing for additive manufacturing
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention belongs to the technical field of 3D printing model preprocessing, and particularly relates to a grid support structure generation method, a grid support structure generation device, electronic equipment and a storage medium; the method comprises the following steps: traversing the model; obtaining a model frame; aligning to the origin; raising the model; dividing preset square grids; obtaining a vertical projection range of a model; acquiring preset square grids in a projection range; obtaining a grid central point; determining extraction points; determining a projection intersection point; establishing a plane lattice; sequentially grouping the extraction points and the nearest lattice points and determining the extraction points and the nearest lattice points as a grouping set; acquiring a projection intersection normal vector; the projection intersection point extends downwards by P millimeters according to the normal vector direction to generate a contact column and a folding point, and then extends to the plane coordinate where the array point in the grouping set is positioned according to a preset offset angle to generate the folding column and the supporting node; generating a main supporting column; generating trusses between the main supporting columns corresponding to the adjacent lattice points; the data is stored. The method can enable the bottom of the model to generate the whole grid supporting structure in batches.
Description
Technical Field
The invention belongs to the technical field of 3D printing model preprocessing, and particularly relates to a grid support structure generation method, a grid support structure generation device, electronic equipment and a storage medium.
Background
In the existing photo-curing molding technology, in the stage of preprocessing a model by a computer, a mode of automatically generating a supporting unit is generally adopted, so that a sufficiently dense supporting unit is generated at the bottom of the whole model; generally, these supports fall into three categories: the first type is that a plurality of independent support columns are generated between the bottom of the model and a zero-plane platform; the second type is to combine the lower support columns on the basis of the independent support columns to form a tree-shaped support structure with different transverse intervals, and correspondingly, in order to increase the transverse stability, trusses are properly added to strengthen the connection between the combined lower support columns; the third type is to generate a three-dimensional space grid-like support structure between the bottom of the model and the zero-plane platform;
the first type of supporting structure has the defects that the generating process is simpler, but the lateral stability of the supporting structure is insufficient; the second type belongs to a popular and applicable supporting structure at present, under the condition of adopting thicker supporting columns, the transverse stability of the bottom support of the model can be met, and the supporting structure can be torn into slices and removed, but because the transverse spacing between the supporting columns is different, the truss number is not uniformly distributed, and therefore, the stress of each supporting column is not uniform when the model is printed and taken off; correspondingly, if the diameter of the support column is set to be smaller, the situation of breakage easily exists when the model is printed and taken off, and the situation of breakage easily exists when the support structure is torn off in a piece and the support is torn off in a piece and cannot be torn off in a piece; the third type is a three-dimensional space grid-shaped supporting structure in which the supporting structure is connected with the model through a frame structure; similarly, the third type of space grid-like support structure can enhance the overall stability of the support structure, but because the grid frame body without contact points is directly connected with the model body, the model support structure is also easy to damage the forming structure at the fragile position of the model when being torn and dismantled in a piece;
therefore, a supporting structure capable of meeting the strength of a model supporting structure, the transverse stability and the uniform stress requirement during printing is required to be provided based on the problems, and a grid supporting structure generating method and device capable of conveniently tearing and dismantling the model supporting structure in a piece and not easily damaging the model in a combined manner are also required.
Disclosure of Invention
The embodiment of the application provides a grid support structure generation method, a grid support structure generation device, electronic equipment and a storage medium, and aims to generate columnar support units distributed in a truss connection array at the bottom of a model in the model pretreatment process, so that a support structure of an integral grid is formed.
A first aspect of an embodiment of the present application provides a method for generating a grid support structure, including:
traversing and splicing all triangular grids forming a model;
obtaining a minimum model frame of a model;
aligning the model to the origin of the zero-plane platform by using the center point of the bottom of the minimum model frame;
raising the model by H mm;
dividing preset square grids with side length of Y millimeters on a zero plane platform by taking an origin as a center;
obtaining a vertical projection range of a model on a zero plane platform;
acquiring all preset squares with center points of the preset squares in a vertical projection range;
sequentially extracting preset grid center points with interval distances exceeding L+DeltaX mm from a starting point in pairs in sequence and determining the preset grid center points as extraction points;
the straight line projected upwards from the extraction point intersects with the triangular mesh plane at the bottom of the model and is determined as a projection intersection point;
establishing a plane lattice formed by lattice points in a vertical projection range;
sequentially grouping the extraction points and the lattice points closest to the extraction points and determining the extraction points and the lattice points as a grouping set;
obtaining a normal vector of a triangular grid plane where a projection intersection point at the bottom of the model is located;
the projection intersection points corresponding to the extraction points in the grouping set extend downwards by P millimeters according to the normal vector direction to generate contact columns and folding points, and then extend to the plane coordinates where the array points in the grouping set are located according to a preset offset angle to generate folding columns and supporting nodes;
generating a lattice point with a main supporting column connected to the zero-plane platform vertically downwards by the supporting node;
generating trusses between the main supporting columns corresponding to the adjacent lattice points;
and storing the whole three-dimensional data of the model and the supporting structure.
Further, the grid support structure generation method further includes:
grouping the non-grouped lattice points and the nearest extraction points and determining the non-grouped lattice points and the nearest extraction points as a supplementary set;
and generating folding columns and supporting nodes by extending the folding points where the projection intersection points corresponding to the extraction points in the supplementary set extend downwards by P millimeters according to the normal vector direction to the plane coordinates where the lattice points in the supplementary set are located according to a preset offset angle.
Further, the grid support structure generation method further includes:
slicing the whole three-dimensional data and obtaining slice image data;
the slice image data is imported to a 3D printing apparatus for 3D exposure printing.
Optionally, the plane lattice is a lattice with parallel lattice points or a lattice with staggered lattice points.
Optionally, the H, Y, L, P is a positive integer or decimal; the Δx is an error value less than L.
A second aspect of an embodiment of the present application provides a grid support structure generating apparatus, including:
the model grid traversing module is used for traversing and splicing all triangular grids forming the model;
the model frame acquisition module is used for acquiring the minimum model frame of the model;
the model alignment module is used for aligning the model to the origin of the zero-plane platform by using the center point of the bottom of the minimum model frame;
the model lifting module is used for lifting the model by H millimeters;
the preset square dividing module is used for dividing preset square with the side length of Y millimeters on the zero plane platform by taking the origin as the center;
the projection module is used for acquiring the vertical projection range of the model on the zero-plane platform;
the grid acquisition module is used for acquiring all preset grids with preset grid center points in a vertical projection range;
the extraction point determining module is used for sequentially extracting preset grid center points with interval distances exceeding L+DeltaX mm from a starting point in pairs and determining the preset grid center points as extraction points;
the plane lattice building module is used for building a plane lattice formed by lattice points in a vertical projection range;
the grouping set determining module is used for sequentially grouping the extraction points and the lattice points closest to the extraction points and determining the extraction points and the lattice points as a grouping set;
the projection intersection point determining module is used for upwardly projecting straight lines from the extraction points in the grouping set to intersect with the triangular mesh plane at the bottom of the model and determining the straight lines as projection intersection points;
the normal vector acquisition module is used for acquiring normal vectors of the triangular mesh plane where the projection intersection points at the bottom of the model are located;
the first generation module is used for generating a contact column and a folding point by extending downward by P millimeters from a projection intersection point corresponding to an extraction point in the grouping set according to a normal vector direction, and then extending to a plane coordinate where a lattice point in the grouping set is positioned according to a preset offset angle to generate the folding column and a support node;
the main support column generation module is used for vertically downwards generating a lattice point of the main support column connected to the zero-plane platform by the support node;
the truss generation module is used for generating trusses between the main supporting columns corresponding to the adjacent lattice points;
and the storage module is used for storing the whole three-dimensional data of the model and the supporting structure.
Further, the grid support structure generating device further includes:
the supplementary set determining module is used for grouping the non-grouped lattice points and the nearest extraction points and determining the non-grouped lattice points and the nearest extraction points as a supplementary set;
the second generation module is used for generating folding columns and supporting nodes by extending the folding points where the projection intersection points corresponding to the extraction points in the supplementary set extend downwards by P millimeters according to the normal vector direction to the plane coordinates where the array points in the supplementary set are located according to the preset offset angle.
Further, the grid support structure generating device further includes:
the slice processing module is used for carrying out slice processing on the whole three-dimensional data and obtaining slice image data;
and the 3D printing device is used for importing the slice image data to the 3D printing device for 3D exposure printing.
A third aspect of the embodiments of the present application provides an electronic device, including:
at least one processor; and a memory unit communicatively coupled to the at least one processor;
the storage module stores instructions executable by the at least one processor, and the at least one processor implements any of the steps of the grid support structure generation method when executing the instructions.
A fourth aspect of the embodiments of the present application provides a non-transitory computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of any of the grid support structure generation methods described above.
A fifth aspect of the embodiments of the present application provides a computer program product comprising computer instructions which, when executed by a computer, implement the steps of any of the grid support structure generation methods described above.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the grid support structure generation method provided by the first aspect of the embodiment of the application, the main support columns can be generated at the bottom of the model according to the lattice points of the plane lattice, and the main support columns on the lattice points are further connected through trusses in a reinforced mode, so that all support columns are connected into an integral grid support structure through the trusses, the structural stability of the support structure is further enhanced, the requirements on the strength and the transverse stability of the structural support structure can be met, the support structure can be conveniently torn and removed in a rapid sheet forming mode in the stage of removing the support structure, and the efficiency is improved;
2. according to the grid support structure generation method provided by the first aspect of the embodiment of the application, the main support columns can be generated at the bottom of the model according to the uniformly distributed array positions, so that after the truss is generated, the length of the truss can be ensured to be consistent, the stress of each part of the grid support structure can be ensured to be uniform when the grid support structure prints a film at the bottom of a stripping trough, the deformation bearing capacity of the support structure can be increased, and the strength of the support structure can be ensured particularly when thinner support columns or trusses are adopted;
3. according to the grid support structure generation method provided by the first aspect of the embodiment of the application, the user can conveniently control the degree of the density of the contact columns by adjusting the side length of the preset square grid; the user can conveniently control the density degree of the contact column by adjusting the linear interval distance of the extraction points; the degree of the density of the main supporting column can be controlled by adjusting the side length of the preset square lattice; the degree of the density of the main supporting columns can be controlled by adjusting the distance between the array points, so that the self-setting use of a user is facilitated;
4. according to the grid support structure generation method provided by the first aspect of the embodiment of the application, grid support structures with different patterns can be generated by selecting parallel arranged lattices or staggered arranged lattices, so that a user has more support pattern selections, and the grid support structures and truss structures with different stable intensities are suitable for.
Drawings
FIG. 1 is a flow chart of a grid support structure generation method according to an embodiment of the present application;
FIG. 2 is a block diagram of a grid support structure generating apparatus according to an embodiment of the present application;
FIGS. 3A-F are a schematic diagram 1 illustrating a grid support structure generation method according to an embodiment of the present application;
FIGS. 4A-F are a schematic diagram of a grid support structure generation method process of an embodiment of the present application;
FIGS. 5A-B are exemplary FIGS. 1 illustrating the implementation of the grid support structure generation method of the present application;
FIGS. 6A-B are exemplary FIG. 2 showing the effect of the grid support structure generation method of the present application;
FIG. 7A is a block diagram of an electronic device implementing a grid support structure generation method according to an embodiment of the present application;
FIG. 7B is a schematic diagram of an electronic device preprocessing a slice of a model according to an embodiment of the present application;
FIG. 8A is a block diagram of a 3D printing device implementing the grid support structure generation method of the present application;
fig. 8B is a schematic diagram of the image data obtained by slicing after the implementation of the method of the present application being imported into a 3D printing apparatus.
Description of the reference numerals:
an electronic device 7; a computer program 70; a processor 71; a storage unit 72; a 3D printing device 8; a controller 81; a memory 82; a print control program 80; a mobile storage device 9;
a model 301; triangular mesh 302; zero plane platform 303; presetting a square 304; a vertical projection range 305; projection square range 306; a grid center point 307; extracting points 308; projection intersection 309; a lattice 310; contact posts 321; folding column 322; support nodes 323; a main support post 324; truss 325; a break point 326; a bottom raft 327; a grid support structure 328;
a model mesh traversal module 100; a model frame acquisition module 150; a model alignment module 200; a model elevation module 250; a preset square dividing module 300; a projection module 350; a pane acquisition module 400; an extraction point determination module 450; a projection intersection determination module 500; a planar lattice building module 550; a packet set determination module 600; normal vector acquisition module 650; a first generation module 700; a supplemental set determination module 720; a second generation module 730; a primary support column generation module 750; truss generation module 800; a storage module 850; the slice processing module 900.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the embodiments described below are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It is also to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
Fig. 1 is a flowchart of a grid support structure generation method according to an embodiment of the present application. As shown in the figure, the grid support structure generation method of the present application includes the following basic steps:
s100, traversing and splicing all triangular grids forming a model;
s150, acquiring a minimum model frame of the model;
s200, aligning the bottom center point of the model to the origin of the zero-plane platform by using the minimum model frame;
s250, lifting the model by H millimeters;
s300, dividing preset square grids with side length of Y millimeters on a zero plane platform by taking an origin as the center;
s350, acquiring a vertical projection range of the model on a zero plane platform;
s400, acquiring all preset squares with center points of the preset squares in a vertical projection range;
s450, sequentially extracting preset grid center points with interval distances exceeding L+DeltaX mm from a starting point in pairs in sequence, and determining the preset grid center points as extraction points;
s500, upwards projecting a straight line from the extraction point to intersect with a triangular mesh plane at the bottom of the model and determining a projection intersection point;
s550, establishing a plane lattice formed by lattice points in a vertical projection range;
s600, sequentially grouping the extraction points and the lattice points closest to the extraction points, and determining the extraction points and the lattice points as a grouping set;
s650, obtaining a normal vector of a triangular mesh plane where a projection intersection point at the bottom of the model is located;
s700, extending downward by P millimeters according to the normal vector direction from a projection intersection point corresponding to an extraction point in the grouping set to generate a contact column and a folding point, and extending to a plane coordinate where a lattice point in the grouping set is located according to a preset offset angle to generate the folding column and a support node;
s750, generating a lattice point with a main supporting column connected to the zero-plane platform vertically downwards by the supporting node;
s800, generating trusses between main supporting columns corresponding to adjacent lattice points;
s850, storing the whole three-dimensional data of the model and the supporting structure.
Further, in addition to the above steps, the method further comprises the following optional steps:
s720, grouping the non-grouped lattice points and the nearest extraction points and determining the non-grouped lattice points and the nearest extraction points as a supplementary set;
s730, generating folding columns and supporting nodes by extending the folding points where the projection intersection points corresponding to the extraction points in the supplementary set extend downwards by P millimeters according to the normal vector direction to the plane coordinates where the lattice points in the supplementary set are located according to the preset offset angle.
Further, in addition to the above steps, the method further comprises the following optional steps:
s900, slicing the whole three-dimensional data and obtaining slice image data;
s950, importing the slice image data into 3D printing equipment to perform 3D exposure printing.
Specifically, the plane lattice is a lattice with parallel lattice points or a lattice with staggered lattice points.
Specifically, H, Y, L, P is a positive integer or decimal; the Δx is an error value less than L.
Fig. 2 is a block diagram of a grid support structure generating apparatus according to an embodiment of the present application. As shown in the figure, the grid support structure generating apparatus of the present application includes:
the model grid traversing module 100 is used for traversing and splicing all triangular grids forming a model;
a model frame acquisition module 150, configured to acquire a minimum model frame of the model;
a model alignment module 200, configured to align the model to the origin of the zero-plane platform with the minimum model frame bottom center point;
a model elevation module 250 for elevating the model by H millimeters;
the preset square dividing module 300 is used for dividing preset square with a side length of Y millimeters on the zero plane platform by taking an origin as a center;
a projection module 350, configured to obtain a vertical projection range of the model on the zero-plane platform;
the square grid acquisition module 400 is used for acquiring all preset square grids with preset square grid center points in a vertical projection range;
the extraction point determining module 450 is configured to sequentially extract preset grid center points with interval distances exceeding l+Δx millimeters from a starting point in pairs and determine the preset grid center points as extraction points;
the plane lattice building module 500 is used for building a plane lattice formed by lattice points in a vertical projection range;
a grouping set determining module 550, configured to group the extraction points and the lattice points closest to the extraction points in sequence and determine the extraction points and the lattice points as a grouping set;
the projection intersection point determining module 600 is configured to intersect the extracted points in the grouping set with the triangle mesh plane at the bottom of the model and determine a projection intersection point;
the normal vector acquisition module 650 is configured to acquire a normal vector of a triangle mesh plane where the bottom projection intersection point of the model is located;
the first generation module 700 is configured to extend downward by P millimeters from a projection intersection point corresponding to an extraction point in the grouping set according to a normal vector direction to generate a contact column and a folding point, and then extend to a plane coordinate where a lattice point in the grouping set is located according to a preset offset angle to generate a folding column and a support node;
a main support column generation module 750 for generating, vertically downward from the support nodes, a lattice point of the main support column connected to the zero-plane platform;
the truss generation module 800 is configured to generate trusses between the main supporting columns corresponding to adjacent lattice points;
a storage module 850 for storing the overall three-dimensional data of the model and the support structure.
Further, the method further comprises the following steps:
a complementary set determining module 720, configured to group the lattice points that are not grouped with the extraction points closest to the lattice points and determine the lattice points as a complementary set;
the second generating module 730 is configured to generate the folding column and the support node by extending the folding point where the corresponding projection intersection point of the extraction point in the supplementary set extends downward by P millimeters according to the normal vector direction and then extending to the plane coordinate where the lattice point in the supplementary set is located according to the preset offset angle.
Further, the method further comprises the following steps:
the slice processing module 900 is configured to perform slice processing on the overall three-dimensional data and obtain slice image data;
and a 3D printing device 8 for importing the slice image data to the 3D printing device for 3D exposure printing.
Specifically, the plane lattice is a lattice with parallel lattice points or a lattice with staggered lattice points.
Specifically, H, Y, L, P is a positive integer or decimal; the Δx is an error value less than L.
Fig. 3A-F are schematic diagrams of a process of a grid support structure generating method according to an embodiment of the present application. As shown, fig. 3A illustrates a model 301, which is made up of a plurality of triangular meshes 302; also illustrated is a zero plane platform 303 divided by a plurality of preset squares 304 of side length Y mm; in the figure, the model 301 is perpendicularly projected onto the zero-plane platform 303 to form a perpendicular projection range 305.
FIG. 3B illustrates step S350 of FIG. 1, based on FIG. 3A, of obtaining the vertical projection range of the model on the zero-plane platform; step S400 in fig. 1 is also illustrated, where all preset squares with the center points of the preset squares in the vertical projection range are obtained; as shown, the outer boundary of the vertical projection range 305 just passes through the grid center points 307 of the series of preset grids 304, i.e., the grid center points 307 are on the boundary of the outer boundary of the vertical projection range 305, so the grid center points 307 are also in the vertical projection range 305 in the figure; the area of the preset square 304 occupied by the vertical projection range 305 is the projection square range 306 to be acquired.
Fig. 3C illustrates step S450 in fig. 1, in which preset grid center points with a spacing distance exceeding l+Δx millimeters are sequentially extracted from one start point in pairs and determined as extraction points; as shown in the figure, all the grid center points 307 in the projected grid range 306 are extracted, specifically, the grid center point in the upper left corner is selected as a starting point, and the boundary grid center points are extracted in sequence two by two according to the linear interval distance of l+Δx mm and the clockwise direction, and are determined as extraction points 308; in addition, the extraction points 308 are determined by adopting a clockwise spiral inward two-by-two point taking mode in the figure, so that the edge position of the bottom of the model is preferentially caused to generate a supporting unit;
in particular, since the value of L in the present figure is exactly three times the value of Y, Δx is 0; in the practical use method, the DeltaX should be an error value smaller than L; therefore, the density of the extraction points 308 can be adjusted by adjusting the preset value of L or the preset value of Y, and the number and density of the contact columns at the bottom of the final model can be adjusted.
FIG. 3D illustrates step S500 of FIG. 1, where straight lines projected upward from the extraction points intersect the model bottom triangular mesh plane and are determined as projection intersection points; as shown, to avoid too dense projected lines vertically upward from the extraction points 308 in the figure, fig. 3D only illustrates that a small projected line intersects the plane of the bottom of the model 301, and thus a plurality of projected intersection points 309 are obtained at the bottom of the model 301.
FIG. 3E illustrates step S550 of FIG. 1, creating a planar lattice of lattice points within the vertical projection range; as shown, the lattice points 310 are uniformly distributed and staggered in the range of the zero plane platform 303, so as to form a triangular lattice.
Fig. 3F illustrates step S600 in fig. 1, where the extraction points and lattice points closest to the extraction points are sequentially grouped and determined as a grouping set; as shown, in combination with the extracted points 308 acquired in fig. 3C and the planar lattice constructed of lattice points 310 established in fig. 3E, the extracted points 308 may be allocated to the nearest lattice point 310 as a grouping set;
in particular, as shown in the upper left corner of the figure, the extraction point 308 and the lattice point 310 coincide, and thus the extraction point 308 and the lattice point 310 in the coincident state are determined as one grouping set;
in particular, as in the grouping surrounded by the top-row dashed-line ellipses in the figure, when the extraction points 308 are equidistant from the left-right directional lattice points 310, the grouping between the extraction points 308 and the nearest lattice points 310 can be determined in the nine-grid range according to the sequential determination sequence of the positive half-axis direction of the X-axis to the negative half-axis direction of the Y-axis, so that the extraction points 308 in the grouping surrounded by the top-row left-side dashed-line ellipses in the figure are determined to be one group with the lattice points 310 in the positive half-axis direction of the X-axis; according to this discrimination setting, the extraction points 308 and lattice points 310 in the drawing can be grouped and determined group by group as a grouping set.
Fig. 4A-F are schematic diagrams of a grid support structure generation method according to an embodiment of the present application. As shown, fig. 4B illustrates an optional step S720 in fig. 1, where the non-grouped lattice points and the nearest extraction points are grouped and determined as a complementary set; on the basis of grouping the extraction points 308 and the lattice points 310 closest to the extraction points 308 in fig. 3F, it can be seen that since the number of lattice points 310 is greater than the number of extraction points 308 in fig. 3F, lattice points 310 which do not participate in grouping remain, so that it is also necessary to further group lattice points 310 which do not participate in grouping with the closest extraction points 308, so as to facilitate the establishment of reasonable connection between all the main support columns 324 and the contact columns 321 in the stage of generating the main support columns 324 in fig. 4B; in fig. 4B, the lattice points 310 which do not participate in grouping are grouped with the nearest extraction points 308 and are determined as complementary sets group by group, which is indicated by the connection of straight-dashed lines;
in particular, when the extraction points 308 and the nearest lattice points 310 are grouped, two situations generally occur, one is that the number of the extraction points 308 is more dense, the number of the lattice points 310 is relatively less, and at this time, the problem of grouping the extraction points 308 and the nearest lattice points 310 can be solved only by means of the step S600 in fig. 1; the other is that the number of the extraction points 308 is smaller, and the relative number of the lattice points 310 is larger and denser, and at this time, the lattice points 310 do not participate in grouping only by the step S600 in fig. 1, so that the step S720 in fig. 1 needs to be adopted in a supplementary manner, so that all the extraction points 308 and the lattice points 310 can mutually ensure that a connection relationship with the closest distance can be established.
Fig. 4B illustrates steps S650-S750 in fig. 1; according to step S650, obtaining a normal vector of the triangular mesh plane where the bottom projection intersection point of the model is located; the normal vector of the triangular mesh plane in which each projection intersection 309 is located needs to be obtained first to ensure that the contact post 321 can be perpendicular to the triangular mesh plane as in fig. 6A; according to step S700, the projection intersection points corresponding to the extraction points in the grouping set extend downwards by P millimeters according to the normal vector direction to generate contact columns and folding points, and then extend to the plane coordinates where the array points in the grouping set are located according to a preset offset angle to generate folding columns and supporting nodes; after the normal vector of the triangular mesh is obtained at each projection intersection 309, the contact post 321 and the folding point 326 can be generated as shown in fig. 6A by extending downward by P millimeters along the normal vector direction, and then the folding point 326 at the end of the contact post 321 extends to the coordinates on the plane where the lattice point 310 is located at a preset offset angle, so that the folding post 322 and the supporting node 323 can be generated along the extending path; according to step S750, generating a lattice point with the main supporting column connected to the zero-plane platform vertically downward from the supporting node; the corresponding lattice points 310 on the zero-plane platform 303 can be connected by the support nodes 323, so as to generate a main support column 324; specifically, the shape or position of the contact studs 321, the folding points 326, the folding studs 322, the supporting nodes 323, the main supporting studs 324 may also be referred to in connection with fig. 5A.
FIG. 4C illustrates step S800 of FIG. 1, creating trusses between the primary struts corresponding to adjacent lattice points; on the basis of the primary struts 324 of fig. 4B, trusses 325 are further formed between adjacent primary struts 324. Referring to the example of fig. 6B, the trusses 325 further strengthen and secure the primary struts 324 into a lattice support structure 328 by cross-bracing.
Fig. 4D illustrates the top view of fig. 4C, where truss 325 further stiffens and secures primary support struts 324 to a grid support structure 328 via cross support struts.
The basic process of the grid support structure generation method of the present application is substantially illustrated above by FIGS. 3A-F and 4A-C.
FIG. 4E corresponds to FIG. 3E, again illustrating step S550 of FIG. 1, creating a planar lattice of lattice points within the vertical projection range; as shown, the lattice with uniformly distributed and parallel lattice points 310 is established in the range of the zero plane platform 303, so as to form a square lattice.
FIG. 4F illustrates the creation of trusses between the primary struts corresponding to adjacent lattice points based on FIG. 4E in conjunction with the optional step S800 of FIG. 1; whereby the main support columns 310 as a whole are further strengthened and secured as a lattice support structure 328 by trusses 325 between adjacent main support columns 310 at the stage of final creation of the support structure.
Accordingly, as can be seen from the above-described schematic processes of fig. 3C and 3E, the number and density of the main supporting columns 324 in fig. 6A can be controlled by adjusting the value of the side length Y of the preset square, the distance between the extraction points, and the distance between the lattice points; thus facilitating the self-setting use of the user.
Fig. 5A-B are examples of implementation effects of the grid support structure generation method of the present application fig. 1. As shown, the square block of the model 301 illustrated in fig. 5A is laid flat, and after the method shown in fig. 1 is adopted and the lattice points are staggered in the step S550 in fig. 1, staggered main support columns 324 can be generated at the bottom of the model 301, and the bottom of the main support columns 324 is connected to the bottom raft 327; and are interconnected at the main support columns 324 by trusses 325 to form a lattice support structure 328.
FIG. 5B shows a cross-section of the model 301 of FIG. 5A in the Z-axis direction, with the cross-section of the model 301 near the bottom plane interspersed with projection intersection points 309, i.e., corresponding to the projection intersection points 309 of FIG. 4B, on the basis of FIG. 5A; it can also be seen in this figure that the bottom of the model 301 creates staggered primary struts 324, the bottom of the primary struts 324 being connected to the bottom raft 327; and are interconnected at the main support columns 324 by trusses 325 to form a lattice support structure 328.
Fig. 6A-B are examples of implementation effects of the grid support structure generation method of the present application fig. 2. As shown, FIG. 6A illustrates the mesh support structure 328 remaining after removal of the model 301; it can be seen from the figure that the bottom of each main support column 324 is connected to a bottom raft 327; specifically, three folding columns 322 are connected to a support node 323 at the upper part of the main support column 324 at the lower right corner in the figure, and a folding point 326 exists at the upper end of each folding column 322 correspondingly; each folding point 326 is connected with one contact post 321, and the upper end of each contact post 321 corresponds to a projection intersection 309 connected with the model; and each of the primary support columns 324 are connected to each other by trusses 325 to form an associated integral grid support structure 328.
FIG. 6B shows the grid support structure 328 of FIG. 6A in a cross-sectional plane from the top view of FIG. 6A; a plurality of primary support columns 324 are shown as being interconnected by trusses 325 to form a unitary grid support structure 328; it can be seen that the primary support columns 324 are staggered with respect to the staggered array points and are interconnected by trusses 325 to form an interrelated overall lattice support structure 328.
In particular, it can be seen that by using the grid support structure generation method of the embodiment of the present application, after the grid support structure 328 with triangular meshes as shown in the figure is generated, a truss 325 with equal length can be formed, so that the grid support structure can ensure that each part is uniformly stressed when printing a release material tank bottom film, and thus the deformation bearing capacity of the support structure can be increased, and especially when using thinner support columns or trusses, the strength of the support structure can also be ensured; in addition, after all the main supporting columns 324 are connected into an integral grid supporting structure 328 through trusses 325, the structural stability of the supporting structure can be further enhanced, the requirements of structural supporting structure strength and transverse stability can be met, the supporting structure can be conveniently torn and removed in a rapid sheet forming manner at the stage of removing the supporting structure, and the efficiency is improved.
Fig. 7A is a block diagram of an electronic device implementing a grid support structure generation method according to an embodiment of the present application. As shown, the electronic device 7 is illustrated in this figure as having a processor 71. As shown, an electronic device 7 includes a processor 71 and a memory unit 72; the storage unit 72 stores therein a computer program 70 or instructions executable by the processor 71, the computer program 70 or instructions being executable by the processor 71 to enable the processor 71 to perform steps S100-S850 as in fig. 1.
The storage unit 72 is a third aspect of the present application, and provides a non-transitory computer readable storage medium. The storage unit 72 stores instructions executable by the at least one processor 71, so that the at least one processor 71 implements steps S100-S850 in fig. 1 when executing the instructions.
The storage unit 72 is a non-transitory computer readable storage medium, and may be used to store a non-transitory software program, a non-transitory computer executable program, and modules, such as program instructions/modules that when executed implement the steps S100-S850 in fig. 1. The processor 71 executes various functional applications of the server and data processing, i.e. the implementation of the steps involving the computer and the processor in the corresponding embodiment of fig. 1 described above, by running a non-transitory computer program 70, instructions and modules stored in a storage unit 72.
The storage unit 72 may include a storage program area that may store an operating system, at least one application program required for a function, and a storage data area; the storage data area may store data created when the electronic device 7 uses the method, and the like. In addition, the memory unit 72 may include a high-speed random access memory module, and may also include a non-transitory memory module, such as at least one disk memory module, flash memory device, or other non-transitory solid-state memory module. In some embodiments, the storage unit 72 may optionally include storage modules remotely located relative to the processor 71 that may be connected to the support structure-generated electronics via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASIC (application specific integrated circuit), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input unit, and at least one output device.
These computer programs 70 (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory modules, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions disclosed in the present application can be achieved, and are not limited herein.
Fig. 7B is a schematic diagram of an electronic device preprocessing a slice of a model according to an embodiment of the present application. As shown in the figure, a user runs 3D slicing software through electronic equipment 7 to generate a grid support structure at the bottom of a model by using the grid support structure generation method provided in the first aspect of the embodiment of the present application; and step S900, slicing the whole three-dimensional data and obtaining slice image data.
Fig. 8A is a block diagram of a 3D printing device for implementing the grid support structure generation method of the present application. As shown, a 3D printing apparatus 8 includes a controller 81 and a memory 82; the memory 82 stores therein a print control program 80 or instructions executable by the controller 81, the print control program 80 or instructions being executed by the controller 81 to enable the controller 81 to perform step S950 as in fig. 1 to obtain an overall print to generate a model of the grid support structure.
Fig. 8B is a schematic diagram of the image data obtained by slicing after the implementation of the method of the present application being imported into a 3D printing apparatus. As shown in the figure, the user uses the mobile storage device 9 to import the whole slice image data and the printing parameters of the model of the generated grid support structure obtained by the electronic device 7 to the 3D printing device 8 for 3D exposure printing, so as to obtain the whole printed piece of the model of the generated grid support structure.
The above embodiments do not limit the scope of the application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application are intended to be included within the scope of the present application.
Claims (10)
1. A method of generating a grid support structure, comprising:
traversing and splicing all triangular grids forming a model;
obtaining a minimum model frame of a model;
aligning the model to the origin of the zero-plane platform by using the center point of the bottom of the minimum model frame;
raising the model by H mm;
dividing preset square grids with side length of Y millimeters on a zero plane platform by taking an origin as a center;
obtaining a vertical projection range of a model on a zero plane platform;
acquiring all preset squares with center points of the preset squares in a vertical projection range;
sequentially extracting preset grid center points with interval distances exceeding L+DeltaX mm from a starting point in pairs in sequence and determining the preset grid center points as extraction points;
the straight line projected upwards from the extraction point intersects with the triangular mesh plane at the bottom of the model and is determined as a projection intersection point;
establishing a plane lattice formed by lattice points in a vertical projection range;
sequentially grouping the extraction points and the lattice points closest to the extraction points and determining the extraction points and the lattice points as a grouping set;
obtaining a normal vector of a triangular grid plane where a projection intersection point at the bottom of the model is located;
the projection intersection points corresponding to the extraction points in the grouping set extend downwards by P millimeters according to the normal vector direction to generate contact columns and folding points, and then extend to the plane coordinates where the array points in the grouping set are located according to a preset offset angle to generate folding columns and supporting nodes;
generating a lattice point with a main supporting column connected to the zero-plane platform vertically downwards by the supporting node;
generating trusses between the main supporting columns corresponding to the adjacent lattice points;
and storing the whole three-dimensional data of the model and the supporting structure.
2. The grid support structure generation method of claim 1, further comprising:
grouping the non-grouped lattice points and the nearest extraction points and determining the non-grouped lattice points and the nearest extraction points as a supplementary set;
and generating folding columns and supporting nodes by extending the folding points where the projection intersection points corresponding to the extraction points in the supplementary set extend downwards by P millimeters according to the normal vector direction to the plane coordinates where the lattice points in the supplementary set are located according to a preset offset angle.
3. The grid support structure generation method of claim 1, further comprising:
slicing the whole three-dimensional data and obtaining slice image data;
the slice image data is imported to a 3D printing apparatus for 3D exposure printing.
4. The grid support structure generation method according to claim 1, wherein the planar lattice is a lattice in which lattice points are arranged in parallel, or a lattice in which lattice points are arranged in a staggered manner.
5. A grid support structure generation apparatus, comprising:
the model grid traversing module is used for traversing and splicing all triangular grids forming the model;
the model frame acquisition module is used for acquiring the minimum model frame of the model;
the model alignment module is used for aligning the model to the origin of the zero-plane platform by using the center point of the bottom of the minimum model frame;
the model lifting module is used for lifting the model by H millimeters;
the preset square dividing module is used for dividing preset square with the side length of Y millimeters on the zero plane platform by taking the origin as the center;
the projection module is used for acquiring the vertical projection range of the model on the zero-plane platform;
the grid acquisition module is used for acquiring all preset grids with preset grid center points in a vertical projection range;
the extraction point determining module is used for sequentially extracting preset grid center points with interval distances exceeding L+DeltaX mm from a starting point in pairs and determining the preset grid center points as extraction points;
the plane lattice building module is used for building a plane lattice formed by lattice points in a vertical projection range;
the grouping set determining module is used for sequentially grouping the extraction points and the lattice points closest to the extraction points and determining the extraction points and the lattice points as a grouping set;
the projection intersection point determining module is used for upwardly projecting straight lines from the extraction points in the grouping set to intersect with the triangular mesh plane at the bottom of the model and determining the straight lines as projection intersection points;
the normal vector acquisition module is used for acquiring normal vectors of the triangular mesh plane where the projection intersection points at the bottom of the model are located;
the first generation module is used for generating a contact column and a folding point by extending downward by P millimeters from a projection intersection point corresponding to an extraction point in the grouping set according to a normal vector direction, and then extending to a plane coordinate where a lattice point in the grouping set is positioned according to a preset offset angle to generate the folding column and a support node;
the main support column generation module is used for vertically downwards generating a lattice point of the main support column connected to the zero-plane platform by the support node;
the truss generation module is used for generating trusses between the main supporting columns corresponding to the adjacent lattice points;
and the storage module is used for storing the whole three-dimensional data of the model and the supporting structure.
6. The grid support structure generation apparatus of claim 5, further comprising:
the supplementary set determining module is used for grouping the non-grouped lattice points and the nearest extraction points and determining the non-grouped lattice points and the nearest extraction points as a supplementary set;
the second generation module is used for generating folding columns and supporting nodes by extending the folding points where the projection intersection points corresponding to the extraction points in the supplementary set extend downwards by P millimeters according to the normal vector direction to the plane coordinates where the array points in the supplementary set are located according to the preset offset angle.
7. The grid support structure generation apparatus of claim 5, further comprising:
the slice processing module is used for carrying out slice processing on the whole three-dimensional data and obtaining slice image data;
and the 3D printing device is used for importing the slice image data to the 3D printing device for 3D exposure printing.
8. An electronic device, comprising:
at least one processor; and a memory unit communicatively coupled to the at least one processor;
wherein the storage module stores instructions executable by the at least one processor, which when executed, implement the steps of the grid support structure generation method of any one of claims 1 to 4.
9. A non-transitory computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the grid support structure generation method of any one of claims 1 to 4.
10. A computer program product comprising computer instructions which, when executed by a computer, implement the steps of the grid support structure generation method of any one of claims 1 to 4.
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