CN110539492A - Automatic detection method for bad 3D printing sample - Google Patents
Automatic detection method for bad 3D printing sample Download PDFInfo
- Publication number
- CN110539492A CN110539492A CN201910850441.3A CN201910850441A CN110539492A CN 110539492 A CN110539492 A CN 110539492A CN 201910850441 A CN201910850441 A CN 201910850441A CN 110539492 A CN110539492 A CN 110539492A
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- China
- Prior art keywords
- delta
- liquid level
- value
- slurry
- max
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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- 238000010146 3D printing Methods 0.000 title claims abstract description 10
- 238000001514 detection method Methods 0.000 title claims abstract description 9
- 239000007788 liquid Substances 0.000 claims abstract description 57
- 239000002002 slurry Substances 0.000 claims abstract description 17
- 238000007639 printing Methods 0.000 claims abstract description 8
- 230000002159 abnormal effect Effects 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims abstract description 4
- 238000009792 diffusion process Methods 0.000 claims description 17
- 241001233242 Lontra Species 0.000 claims description 3
- 238000010009 beating Methods 0.000 claims description 3
- 239000012535 impurity Substances 0.000 claims description 3
- 238000011895 specific detection Methods 0.000 abstract 1
- 230000002950 deficient Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 239000011248 coating agent Substances 0.000 description 2
- 238000000576 coating method Methods 0.000 description 2
- 238000007790 scraping Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- 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
- 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
Landscapes
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Materials Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Optics & Photonics (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses an automatic detection method for a 3D printing sample piece, which is applicable to printers provided with an automatic liquid level leveling system, wherein the automatic liquid level leveling system is used for replenishing consumed slurry in real time, and the specific detection method comprises the following steps: detecting the height h of the slurry of the printer in real time; and taking the peak value and the valley value of the liquid level height according to the detected height h, and calculating the difference value delta h of the adjacent peak value and valley value, wherein delta hn is the difference value of the nth liquid level peak and the nth liquid level valley, and the maximum value of delta h is taken, wherein max (delta hn) is expressed as the maximum value of delta h 1-delta hn; when max (delta hn) ═ delta hn and delta hm + n > max (delta hn-1) occur, wherein m is an arbitrary natural number, and n is greater than 20, the liquid level at the moment is determined to jump, and the printing is preliminarily determined to be abnormal. Whether a bad part appears can be preliminarily judged by detecting the fluctuation range of the liquid level.
Description
Technical Field
The invention relates to the technical field of 3D printing, in particular to a method for automatically detecting a defective 3D printing sample.
Background
In the 3D printing sample piece forming and manufacturing process, if a coating system (namely a scraper) scrapes a sample piece or a laser projects light unstably, the liquid level can have a scraping support or solid dregs float out of the water level. If continue to print, fashioned appearance spare is useless mostly at last, can't satisfy the user demand to cause the material extravagant. Therefore, when a defective piece occurs, it is necessary to timely perform discovery and stop performing printing.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art and provides an automatic detection method for a defective 3D printing sample.
In order to solve the technical problems, the invention adopts the technical scheme that: A3D prints bad piece automatic detection method of appearance, is equipped with the automatic leveling system of liquid level in the printer that is suitable for, the liquid level leveling system is used for adjusting the liquid level height of the thick liquids that consume in real time, the concrete detection method is as follows: detecting the height h of the slurry of the printer in real time; and taking the peak value and the valley value of the liquid level height according to the detected height h, and calculating the difference value delta h of the adjacent peak value and valley value, wherein delta hn is the difference value of the nth liquid level peak and the nth liquid level valley, and the maximum value of delta h is taken, wherein max (delta hn) is expressed as the maximum value of delta h 1-delta hn; when max (delta hn) ═ delta hn and delta hm + n > max (delta hn-1) occur, wherein m is an arbitrary natural number, and n is greater than 20, the liquid level at the moment is determined to jump, and the printing is preliminarily determined to be abnormal.
Furthermore, when the liquid level jumps, the liquid level of the slurry is scanned by using a diffusion reflection type photoelectric switch, the diffusion reflection type photoelectric switch can horizontally rotate or horizontally slide, and infrared light emitted by the diffusion reflection type photoelectric switch is 1-3 mm higher than the initial liquid level of the slurry; the diffusion reflection type photoelectric switch is used for detecting impurities floating on the surface of the slurry and sending detected signals to the signal processing system, and when the diffusion reflection type photoelectric switch detects scum, a sample is determined to be damaged.
Further, still be provided with the camera of shooing above the printer otter board, when the liquid level appears beating, the camera of shooing shoots and sends the photo to signal processing system and discerns, whether the analysis appears the dross.
The technical scheme shows that the invention has the following advantages: through the fluctuation range that detects the liquid level, can carry out preliminary judgement to whether appearing bad piece, recycle diffusion reflection-type photoelectric switch afterwards scans the feed liquid surface scum, further confirms whether appear bad piece, and two kinds of modes combine together can be accurate judge whether have bad piece.
Detailed Description
In the 3D printing sample piece forming and manufacturing process and the printing sample piece forming and manufacturing process, the liquid level automatic leveling system can supplement slurry in real time according to the slurry consumed in real time under the action of the liquid level automatic leveling system. The liquid level is maintained within a certain height range. The liquid level is usually very smooth and the fluctuation of the liquid level is small, but when the coating system (i.e. a scraper) breaks down or the light projected by the laser is unstable, the liquid level has a relatively large fluctuation. The specific method is as follows.
Detecting the liquid level h of the slurry of the printer in real time, wherein the software in the printer can output the measured liquid level data h in real time; and taking the peak value and the valley value of the liquid level according to the detected height h, and calculating the difference value delta h between the adjacent peak value and the adjacent valley value, wherein delta hn is the difference value between the nth liquid level peak and the nth liquid level valley, and the maximum value of delta h is taken, wherein max (delta hn) is expressed as the maximum value of delta h 1-delta hn, when max (delta hn) is equal to delta hn and delta hm + n is greater than max (delta hn-1), m is an arbitrary natural number, and n is greater than 20, the liquid level is determined to jump at the moment, and the primary printing is determined to be abnormal. For example, when the liquid level difference initially fluctuates in the range of 1mm, when the liquid level difference suddenly jumps to 2mm, and the liquid level fluctuation difference is always larger than 1mm, it can be determined that the liquid level jump has occurred, a sample may be broken, or the laser light projection may be unstable. Wherein n is set to be larger than 20, the liquid level is a stable liquid level within the first 20 wave crests by default. To prevent erroneous judgment as a beat from the beginning.
When the liquid level jumps, the liquid level of the slurry is scanned by using a diffusion reflection type photoelectric switch, the diffusion reflection type photoelectric switch can horizontally rotate or horizontally slide, and infrared light emitted by the diffusion reflection type photoelectric switch is 1-3 mm higher than the initial liquid level of the slurry; the diffusion reflection type photoelectric switch is used for detecting impurities floating on the surface of the slurry and sending detected signals to the signal processing system, and when the diffusion reflection type photoelectric switch detects scum, a sample is determined to be damaged. The height of the diffusion reflection type photoelectric switch is larger than 1mm, so that the phenomenon that the liquid level crosses the light of the sensor to cause misjudgment when the liquid level fluctuates greatly is prevented. And less than 3mm is for detecting the scum with a small size.
In addition, still be provided with the camera of shooing above the printer otter board, when the liquid level appears beating, the camera of shooing is taken a picture and is sent photo to signal processing system and discernment according to system's instruction, and whether the analysis appears the dross.
When judging that bad parts appear, the equipment is immediately indicated by the yellow lamp to alarm and continuously shoot, preferably, the picture can be sent to the mobile phone of an operator, the operator can also carry out manual identification, if scraping does appear, the operator can directly issue a pause printing instruction through the mobile phone, and the current printing is finished.
Claims (3)
1. A3D prints bad piece automatic check out method of appearance, is equipped with the liquid level automatic leveling system in the printer that is suitable for, the liquid level leveling system is used for adjusting the slurry liquid level height in real time, the concrete detection method is as follows: detecting the height h of the slurry of the printer in real time; and taking the peak value and the valley value of the liquid level height according to the detected height h, and calculating the difference value delta h of the adjacent peak value and valley value, wherein delta hn is the difference value of the nth liquid level peak and the nth liquid level valley, and the maximum value of delta h is taken, wherein max (delta hn) is expressed as the maximum value of delta h 1-delta hn; when max (delta hn) ═ delta hn and delta hm + n > max (delta hn-1) occur, wherein m is an arbitrary natural number and n is greater than 20, the liquid level at the moment is determined to jump, and the printing is preliminarily determined to be abnormal.
2. The 3D printing sample piece bad part automatic detection method according to claim 1, characterized in that: when the liquid level jumps, the liquid level of the slurry is scanned by using a diffusion reflection type photoelectric switch, the diffusion reflection type photoelectric switch can horizontally rotate or horizontally slide, and infrared light emitted by the diffusion reflection type photoelectric switch is 1-3 mm higher than the initial liquid level of the slurry; the diffusion reflection type photoelectric switch is used for detecting impurities floating on the surface of the slurry and sending detected signals to the signal processing system, and when the diffusion reflection type photoelectric switch detects scum, a sample is determined to be damaged.
3. The 3D printing sample piece bad part automatic detection method according to claim 1, characterized in that: still be provided with the camera of shooing above the printer otter board, when the liquid level appears beating, the camera of shooing is shot and is sent the photo to signal processing system and discernment, and the analysis is whether the dross appears.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910850441.3A CN110539492B (en) | 2019-09-10 | 2019-09-10 | Automatic detection method for bad 3D printing sample |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910850441.3A CN110539492B (en) | 2019-09-10 | 2019-09-10 | Automatic detection method for bad 3D printing sample |
Publications (2)
| Publication Number | Publication Date |
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| CN110539492A true CN110539492A (en) | 2019-12-06 |
| CN110539492B CN110539492B (en) | 2021-09-14 |
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| CN201910850441.3A Active CN110539492B (en) | 2019-09-10 | 2019-09-10 | Automatic detection method for bad 3D printing sample |
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| CN110539492B (en) | 2021-09-14 |
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