CN116551987A - Printing method for optimizing 3D printing surface quality - Google Patents

Printing method for optimizing 3D printing surface quality Download PDF

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Publication number
CN116551987A
CN116551987A CN202310435487.5A CN202310435487A CN116551987A CN 116551987 A CN116551987 A CN 116551987A CN 202310435487 A CN202310435487 A CN 202310435487A CN 116551987 A CN116551987 A CN 116551987A
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China
Prior art keywords
printing
image
pixel
model
pixels
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Pending
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CN202310435487.5A
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Chinese (zh)
Inventor
阮开明
葛燕
黄见洪
林文雄
王宇超
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Fujian Institute of Research on the Structure of Matter of CAS
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Fujian Institute of Research on the Structure of Matter of CAS
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Priority to CN202310435487.5A priority Critical patent/CN116551987A/en
Publication of CN116551987A publication Critical patent/CN116551987A/en
Pending legal-status Critical Current

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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
    • B29C64/20—Apparatus for additive manufacturing; Details thereof or accessories therefor
    • 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
    • B29C64/20—Apparatus for additive manufacturing; Details thereof or accessories therefor
    • B29C64/245—Platforms or substrates
    • 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
    • B29C64/20—Apparatus for additive manufacturing; Details thereof or accessories therefor
    • B29C64/255—Enclosures for the building material, e.g. powder containers
    • 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
    • B29C64/307—Handling of material to be used in additive manufacturing
    • B29C64/314—Preparation
    • 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
    • B29C64/393—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
    • 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
    • B33Y10/00—Processes of additive manufacturing
    • 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
    • B33Y30/00—Apparatus for additive manufacturing; Details thereof or accessories therefor
    • 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
    • B33Y40/00—Auxiliary operations or equipment, e.g. for material handling
    • B33Y40/10—Pre-treatment
    • 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
    • B33Y50/02—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes

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  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Materials Engineering (AREA)
  • Manufacturing & Machinery (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Optics & Photonics (AREA)

Abstract

The invention provides a printing method for optimizing 3D printing surface quality, which simplifies the calculation of gray values and/or the correction of the edge contour of a printing model by graying the edge contour of the 3D printing model and utilizing the characteristic that photosensitive resin is insensitive to the change of a plurality of gray values of image gray scales in the printing model, thereby effectively improving the efficiency and the printing quality of 3D printing.

Description

Printing method for optimizing 3D printing surface quality
Technical Field
The invention belongs to the technical field of 3D printing, and particularly relates to a printing method for optimizing 3D printing surface quality.
Background
At present, 3D printing technology is being developed vigorously, and particularly, a DLP photo-curing 3D printing mode is a surface forming mode, so that printing efficiency is high, and attention is paid to the technology. But DLP 3D printing accuracy is limited by DMD resolution; the printed model has rough surface and serious steps and pixel lines.
It is now common in the market to increase the print accuracy by zooming the lens, which can result in a loss of print swath size. If the resolution of the DMD is unchanged, then the pixels at the edges of the outline are printed in greyscale when converting the layer outline into image format, which improves the surface quality of the print. In the prior art, the image gray level conversion is carried out by the area duty ratio of the layer profile at the pixel point, but the calculated amount is large and the conversion difficulty is high. Or the image after layer profile conversion is subjected to image filtering, so that the smooth surface of the printing model is achieved, for example, a mean value filtering mode is adopted. In this manner, however, if the filter template of 3*3 is selected, the layer profile image will typically expand the print surface by one pixel, and if the filter template of 5*5 is selected, the layer profile image will typically expand the print surface by even two pixels, and the printed model size will be distorted.
In addition, if the printed pattern has a small pore structure, astigmatism of the DLP pixels, or afterlight from the interlayer print, can distort the small pore structure of the pattern and even become blocked by curing.
Therefore, how to optimize the conventional printing model to improve the printing quality of the product surface is a technical problem to be solved.
Disclosure of Invention
In order to solve the technical problems, the invention firstly provides a printing method for optimizing the quality of a 3D printing surface, and firstly, the printing efficiency and the 3D surface printing quality are improved by graying the edge contour of a 3D printing model and then simplifying the calculation of gray values and/or the correction of the edge contour of the printing model.
The printing method comprises the following steps:
s1: setting the pixels of a 3D printing projector as M x N, setting the whole projection format printable on the printer as a x b cm, and obtaining the corresponding dimensional precision of each pixel of the projector as (a/M) and (b/N) cm, wherein the (a/M) and the (b/N) are equal, and applying for xM x N in advance in a memory space to store digital images of xM x N pixels;
s2: editing a printing model by using 3D printing software, wherein the physical size of the printing model is not more than a x b cm, mapping the projection format of a x b cm in S1 onto digital images of xM x N pixels in S1, and binarizing the layer profile of the printing model according to the mapping relation;
s3: performing internal filling on the binarized layer model outline, wherein the internal filling performs internal filling on the layer model outline according to the gray value of the bright pixel;
s4: reducing the columns and rows of the binarized image filled in the S3 by x times respectively to ensure that the pixel size of the whole breadth is M x N, and each reduced image pixel contains x of the original binarized image 2 Pixels, x 2 Each pixel has a bright pixel value of 256/x 2 Is accumulated;
s5: judging the x 2 Whether all the pixels are bright pixels or not, if so, the gray scale value is 255; if x 2 If the pixels are not all bright pixels, the reduced pixel gray value is the data accumulated value of the original pixel;
s6: converting a gray pixel image of a layer model of a printing model according to the step method of S2-S5, if the gray pixel image is required to be subjected to mean value filtering treatment, filtering treatment is carried out according to a filtering template of 3*3 or 5*5 after the conversion is completed, otherwise, directly skipping S6;
s7: starting a projector to carry out photo-curing on the photosensitive resin according to the image data of the current printing layer, and closing the projector after finishing curing according to the preset curing time, so that the printing of the current printing layer is finished;
s8: and repeating the steps S2-S7 to perform the same operation on the next layer of outline of the printing model until the last layer of outline of the printing model, and finishing all printing of the printing model.
According to one embodiment of the invention, the value of x in step S2 may be 4,6,8, preferably 4.
According to one embodiment of the present invention, the printing method further includes a correction step of correcting the contour expansion caused by the image mean filtering, the correction step is located at S6, and the correction step is as follows: when image average filtering is performed, if the gray value of the pixel position is 0, average filtering is not performed, and if the gray value of the pixel position is not 0, average filtering is performed, and the filtered image gray value is placed at the position.
According to one embodiment of the invention, the correction step may also be based on the amount of scaling that may be caused by mean filtering and resin cure shrinkage, for example in step S2 the layer profile is scaled before binarization to eliminate the final printing error.
According to an embodiment of the present invention, step S7 in the printing method further includes: after the light curing of a certain layer of resin, starting an ultrasonic device to vibrate the resin in the resin tank in preparation for the printing process of the next layer. If the printing model has a small hole structure, the light boundary of each pixel has astigmatism in the printing process, and part of small hole edge resin is semi-cured; in the printing of the next layer, the light of the pixels can also penetrate part of the residual light to enter, and the semi-cured resin is subjected to secondary curing, so that the structure of the small holes is distorted or the small holes are completely blocked by curing. Then the semi-cured resin adhered to the edge of the printed model falls off by vibration during the printing process with the small hole structure, so that the resin around the small hole is not secondarily cured or semi-cured to cause small Kong Shizhen.
According to one embodiment of the present invention, the ultrasonic device in the step S7 is disposed on a carrier substrate and/or a resin tank support plate of the printer, and ultrasonic energy is transferred to the resin tank through the carrier substrate and/or the resin tank support plate to vibrate the resin inside the resin tank.
The invention has the beneficial effects that:
1. because the photosensitive resin is insensitive to the change of a plurality of gray scale values of the image gray scale in the printing model, the invention can effectively improve the efficiency and the printing quality of 3D printing by a simple and convenient image gray scale mode and a mode of carrying out mean value filtering on the image with a mask.
2. The printing method can reduce the adhesive semi-cured resin on the surface of the printing model through ultrasonic vibration, so that the model printing with the micropore structure has more engineering operability.
Drawings
Fig. 1 is a schematic perspective view of a 3D printer used in the printing method of the present invention.
Reference numerals: the device comprises a projector, a 2-bearing substrate, a 3-diagonal stripping device, a 4-resin tank, a 5-forming tray, a 6-lifting adjusting mechanism, a 7-cantilever beam, an 8-device bracket, a 9-control system, a 10-stud, a 11-diagonal stripping device bracket, a 12-movement part, a 13-support column and a 14-resin tank support plate.
FIG. 2 is a schematic diagram showing the comparison of model layer contour binarization and graying.
FIG. 3 is a schematic diagram of a model layer profile binarization transformation image.
Fig. 4 is an enlarged view of a portion of the upper left corner of the schematic of fig. 3.
Fig. 5 is a schematic image of the model layer profile after internal filling.
Fig. 6 is an enlarged left-hand top view of the schematic of fig. 5.
Fig. 7 is a schematic diagram of an image after gray-scale conversion of fig. 6.
Fig. 8 is a schematic representation of the image of fig. 7 after 3*3 mean filtering.
Fig. 9 is a schematic representation of the image of fig. 7 after 5*5 mean filtering.
FIG. 10 is a schematic diagram of an operation with a row and column reduction of 4 times.
Fig. 11 is a time-consuming comparison of gray scale conversion calculated with duty cycle calculation and with scaling by a factor of 4.
Fig. 12 is a diagram showing a comparison of a real model printed after gradation conversion by duty ratio calculation and 4-fold scaling.
Fig. 13 is a graphical representation of a physical model of a foraminous structure with or without open ultrasound printing during printing.
Detailed Description
The technical scheme of the invention will be further described in detail below with reference to specific embodiments. It is to be understood that the following examples are illustrative only and are not to be construed as limiting the scope of the invention. All techniques implemented based on the above description of the invention are intended to be included within the scope of the invention.
Unless otherwise indicated, the starting materials and reagents used in the following examples were either commercially available or may be prepared by known methods.
Example 1
1-7 and 10, the projection breadth is 96×54mm, the projection resolution is 1920×1080, and then the method for graying the model contour image specifically comprises the following steps:
s1: a memory space of resolution (4 x 1920) (4 x 1080) is prepared for storing the digital image, and a size of each pixel is 12.5um when 96 x 54mm is mapped onto the resolution.
S2: the contour model is digitalized to a memory space of (4 x 1920) × (4 x 1080) according to the pixel size of 12.5um set by S1, the pixels with the contour passing by are set to 1, and the pixels without the contour passing by are set to 0. After the model is subjected to contour transformation, the model is shown in fig. 3, and a partial enlarged view of the upper left corner of fig. 3 is shown in fig. 4.
S3: and (3) internally filling the binarized layer model outline, wherein the internal filling is performed according to the gray value of which the pixel is 1. After the profile is filled, as shown in fig. 5, an enlarged left-hand partial view of fig. 5 is shown in fig. 6;
s4: and performing rank reduction 4 times on the filled (4 x 1920) x (4 x 1080) memory space. As shown in fig. 10, each reduced image pixel includes 16 pixels of the original binarized image, the 16 pixels are accumulated according to the data with 16 bright pixel values, if the 16 pixels are all bright pixels, the reduced pixels are also bright pixels, the gray level value is 255, if the 16 pixels are not all bright pixels, the gray level value of the reduced pixels is the data accumulated value of the original bright pixels, and if the 16 pixels are not all bright, the gray level value of the reduced pixels is zero, so that the gray level of the edge contour of the model is realized. The binarized and filled partial enlarged view is shown in fig. 6, and the binarized and filled partial enlarged view is shown in fig. 7 after being subjected to gray scale.
S5: judging whether the 16 pixels are all bright pixels, if so, counting the gray value as 255; if the 16 pixels are not all bright pixels, the reduced pixel gray value is the data accumulated value of the original bright pixel;
s6: and (5) converting the gray pixel image of the layer model of the printing model according to the step method of S2-S5. If the gray level image is required to be subjected to mean value filtering, filtering according to a 3*3 or 5*5 filtering template after conversion is completed, otherwise, directly skipping S6;
s7: starting a projector to carry out photo-curing on the photosensitive resin according to the image data of the current printing layer, and closing the projector after finishing curing according to the preset curing time, so that the printing of the current printing layer is finished;
s8: and (3) after the printer completes other related auxiliary operations, repeating the steps S2-S7 to perform the same operation on the next layer of outline of the printing model until the last layer of outline of the printing model, and finishing all printing of the printing model.
Example 2:
1-7 and 10, the projection breadth is 96×54mm, the projection resolution is 1920×1080, and then the method for graying the model contour image specifically comprises the following steps:
s1: a memory space of resolution (8 x 1920) (8 x 1080) is prepared for storing the digital image, and a size of each pixel is 6.25um when 96 x 54mm is mapped onto the resolution.
S2: the contour model is digitalized to a memory space of (8 x 1920) × (8 x 1080) according to the pixel size of 6.25um set by S1, the pixels with the contour passing by are set as 1, and the pixels without the contour passing by are set as 0.
S3: and (3) internally filling the binarized layer model outline, wherein the internal filling is performed according to the gray value of which the pixel is 1.
S4: and performing rank reduction 8 times on the filled (8 x 1920) x (8 x 1080) memory space. Each reduced image pixel contains 64 pixels of the original binarized image, the 64 pixels are accumulated according to the data with the value of 4 of each bright pixel, if the 64 pixels are all bright pixels, the reduced pixels are also bright pixels, the gray level value is 255, if the 64 pixels are not all bright pixels, the gray level value of the reduced pixels is the data accumulated value of the original bright pixels, and if the 64 pixels are not all bright, the gray level value of the reduced pixels is zero, so that the graying of the edge contour of the model is realized.
S5: judging whether the 64 pixels are all bright pixels, if so, counting the gray value as 255; if 64 pixels are not all bright pixels, the reduced pixel gray value is the data accumulated value of the original bright pixel;
s6: converting a gray pixel image of a layer model of the printing model according to the step method of S2-S5, if the gray pixel image is required to be subjected to mean value filtering treatment, filtering treatment is carried out according to a filtering template of 3*3 or 5*5 after the conversion is completed, otherwise, directly skipping S6;
s7: starting a projector to carry out photo-curing on the photosensitive resin according to the image data of the current printing layer, and closing the projector after finishing curing according to the preset curing time, so that the printing of the current printing layer is finished;
s8: and (3) after the printer completes other related auxiliary operations, repeating the steps S2-S7 to perform the same operation on the next layer of outline of the printing model until the last layer of outline of the printing model, and finishing all printing of the printing model.
Example 3: influence of ultrasonic vibration on printing of microporous model product
S1: graying the image by the method of example 1, and then performing layer printing;
s2: immediately turning on the ultrasonic vibration device for 1 second after the printing of the current printing layer is finished, and turning off the ultrasonic vibration device;
s3: graying the image by the method of example 1, and then printing the next layer; this is repeated until the model printing is completed. The left part of fig. 13 is a model printed with the ultrasonic vibration device of this example 3 turned on. The right part of fig. 13 is a model printed without turning on the ultrasonic vibration device. As can be seen from the right part of fig. 13, the microwells of the model that were not ultrasonically printed have traces of being semi-cured.
Comparative example 1:
this comparative example differs from example 1 in that in step S6 of example 1, the image processing is the masked mean filtering of 3*3 template, fig. 7,8 are image comparisons of whether the comparative example prints the model contour 3*3 mean filtering, fig. 7 is an image without 3*3 mean filtering, fig. 8 is an image with 3*3 mean filtering; the image processing is the average filtering with mask plate of 5*5 template, and fig. 7 and 9 show the comparison of the image with the model outline of the comparative printing model with 5*5 average filtering, wherein fig. 7 shows the image without 5*5 average filtering, and fig. 9 shows the image with 5*5 average filtering.
Comparative example 2: print effect contrast under print model with accurate duty cycle calculation
The method of example 1 acquires the image gray scale, the calculation time of a certain layer is 96 milliseconds, as shown in the right half of fig. 11, and the printing of the complete product is shown in the upper half of fig. 12;
obtaining the image gray scale by adopting a method of accurate duty ratio calculation, wherein the same layer-by-layer calculation time length is 140 milliseconds, as shown in the left half part of fig. 11; the printed complete product is shown in the lower half of fig. 12.
The embodiments of the present invention have been described above. However, the present invention is not limited to the above embodiment. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (6)

1. A printing method for optimizing the quality of a 3D printed surface, the printing method comprising the steps of:
s1: setting the pixels of a 3D printing projector as M x N, and obtaining the corresponding dimensional precision of each pixel of the projector as (a/M) and (b/N) cm, wherein the (a/M) and the (b/N) are equal, and applying for xM x N in advance in a memory space to store digital images of xM x N pixels;
s2: editing a printing model by using 3D printing software, wherein the physical size of the printing model is not more than a x b cm, mapping the physical format of the a x b cm to a digital image of xM x N pixels, and performing image binarization on the layer profile of the printing model according to the mapping relation;
s3: filling the interior of the binarized layer model outline according to the gray value of the bright pixel;
s4: reducing the columns and rows of the binarized image filled in the S3 by x times respectively to ensure that the pixel size of the whole breadth is M x N, and each reduced image pixel contains x of the original binarized image 2 Pixels, x 2 Each pixel has a bright pixel value of 256/x 2 Is accumulated;
s5: judging the x 2 Whether all the pixels are bright pixels or not, if so, the gray scale value is 255; if x 2 If the pixels are not all bright pixels, the reduced pixel gray value is the data accumulated value of the original pixel;
s6: performing gray pixel image conversion on the layer model of the printing model according to the step method of S2-S5; if the mean value filtering processing is required to be carried out on the gray pixel image, filtering processing is carried out according to a 3*3 or 5*5 filtering template after the conversion is completed, otherwise, S6 is directly skipped;
s7: starting a projector to carry out photo-curing on the photosensitive resin according to the image data of the current printing layer, and closing the projector after finishing curing according to the set curing time, so that the printing of the current printing layer is finished;
s8: and repeating the steps S2-S7 to operate the contour of the next layer of the model until the last layer of the model, and finishing all printing of the printing model.
2. The printing method according to claim 1, wherein the value of x in step S2 is 4,6,8.
3. The printing method according to claim 1, further comprising a correction step of correcting the contour expansion caused by the image mean filtering, the correction step being at S6, the correction step being as follows: when image average filtering is performed, if the gray value of the pixel position is 0, average filtering is not performed, and if the gray value of the pixel position is not 0, average filtering is performed, and the filtered image gray value is placed at the position.
4. A printing method according to claim 3, wherein the correction step is to scale the layer profile before binarization in step S2 to eliminate the final printing error in accordance with the amount of scaling that may be caused by mean filtering and resin cure shrinkage.
5. The printing method according to claim 1, wherein step S7 in the printing method further comprises: after the light curing of a certain layer of resin, starting an ultrasonic device to vibrate the resin in the resin tank in preparation for the printing process of the next layer.
6. The printing method according to claim 5, wherein the ultrasonic device in the step S7 is provided on a carrier substrate and/or a resin tank support plate of the printer, and ultrasonic energy is transmitted to the resin tank through the carrier substrate and/or the resin tank support plate to vibrate the resin inside the resin tank.
CN202310435487.5A 2023-04-21 2023-04-21 Printing method for optimizing 3D printing surface quality Pending CN116551987A (en)

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Application Number Priority Date Filing Date Title
CN202310435487.5A CN116551987A (en) 2023-04-21 2023-04-21 Printing method for optimizing 3D printing surface quality

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CN116551987A true CN116551987A (en) 2023-08-08

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