CN106846335A - A kind of powdering quality control method and increasing material manufacturing equipment - Google Patents
A kind of powdering quality control method and increasing material manufacturing equipment Download PDFInfo
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- CN106846335A CN106846335A CN201710044380.2A CN201710044380A CN106846335A CN 106846335 A CN106846335 A CN 106846335A CN 201710044380 A CN201710044380 A CN 201710044380A CN 106846335 A CN106846335 A CN 106846335A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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Abstract
The invention discloses a kind of powdering quality control method, after the completion of current layer powdering, the photo of shaped region is shot by being arranged on the video camera above forming platform, obtain the overall intensity value information of the whole forming platform covered by formed powder, if the difference of the gray value and gray threshold set in advance is in the range of the Δ that error is allowed, then powdering success, if in the range of the Δ of error permission, increasing material manufacturing equipment stops powdering work.The invention also discloses the increasing material manufacturing equipment for monitoring powdering quality.Monitoring method of the invention and equipment can carry out monitor in real time to powdering quality, understand powdering quality condition at any time so as to operating personnel, pinpoint the problems in time, slacken or even eliminate because cannot real-time monitoring powdering process and the quality of powdering, the problems such as the powdering that causes is of poor quality, part shaping fails.
Description
Technical field
The invention belongs to increases material manufacturing technology field, and in particular to a kind of powdering quality control method, a kind of paving is further related to
The increasing material manufacturing equipment of powder forming quality.
Background technology
Increases material manufacturing technology is based on three-dimensional CAD model data, by way of increasing material and successively manufacturing, with computer
Three Dimensional Design Model is source, by software hierarchy and numerical control formation system, is successively piled up material using high energy beam, most
Whole superposition forming, produces a kind of technological means of geometry in particular part.The process of increasing material manufacturing has many kinds,
It is broadly divided into the manufacture method based on automatic powder feeding system and based on powdering mode.The laying formed powder that power spreading device moves in circles,
With reference to the continuous decline and the scanning shaping of high energy beam of forming platform, shaping 3 d part is gradually stacked.
Power spreading device during powdering, can because the unstability of recyclegas, the low precision of forming platform, into parameter
The reasons such as several imperfect, scraper scratch formation of parts, cause power spreading device during the powdering for moving in circles, formed powder
Fail that shaped region is completely covered, in turn result in the situation for occurring constantly repeating shaping scanning in the region of formation of parts, so that
The quality of formation of parts is influenceed, when situation is serious, or even the failure that the scanning shaping of formation of parts can be caused.In existing scanning
In forming technique, increasing material manufacturing equipment cannot real-time monitoring powdering quality, cannot timely be found when above-mentioned situation and
During treatment, it is possible to the problem of the scanning forming quality for influenceing formation of parts occur.
The content of the invention
It is an object of the invention to provide a kind of powdering quality control method, powdering quality is carried out after every layer of powdering terminates
Monitoring, solve the problems, such as existing powdering method cannot real-time monitoring powdering process and powdering quality.
It is a further object to provide a kind of increasing material manufacturing equipment for monitoring powdering quality.
A technical scheme of the present invention is, a kind of powdering quality control method, after the completion of current layer powdering,
The photo of shaped region is shot by being arranged on the video camera above forming platform, the whole shaping covered by formed powder is obtained
The overall intensity value information of platform, if the difference of the gray value and gray threshold set in advance is in the range of error permission,
Then powdering success, if in the range of error permission, increasing material manufacturing equipment stops powdering work.
Further, the method is comprised the following steps：
Step 1, obtains current tomographic image
After the completion of the laying of current layer powder, the photo in forming platform region is shot by video camera；
Step 2, current layer image procossing
Maximum between-cluster variance image segmentation algorithm based on genetic algorithm carries out image segmentation treatment to the photo for shooting, and
Obtain the overall gray value A in forming platform region；Forming platform is laid using similar formed powder, and carries out many experiments, by
Camera acquisition powder lays photo when successfully, calculates its average gray value, is defined as average gray threshold value B；
Step 3, judge whether powdering succeeds
If the difference of overall gray value A and average gray threshold value B is in the range of error permission, powdering success is judged,
Increasing material manufacturing equipment continues executing with the work of shaping scanning；Otherwise, judge that powdering fails, increasing material manufacturing equipment stop it is corresponding into
Shape scanning work, treats the complete failure of artificial treatment, then the work for starting shaping scanning.
In order to determine whether the reason for powdering fails, when the difference of overall gray value A and average gray threshold value B is beyond mistake
During the scope that difference is allowed, the gray value abnormal area for shooting forming platform region in photo is extracted, and by the gray value exceptions area
The gray threshold in domain is defined as C, and the gray threshold C of gray value abnormal area is compared with average gray threshold value B, judges paving
The reason for powder fails：
If C is less than B, powdering is probably unsuccessfully because the reasons such as bulky grain attachment, scraper scratch part cause, it is also possible to
It is that powder causes less；
If C is more than B, powdering is unsuccessfully because accumulated powder excessively causes in doctor blade holder powder falling groove.
The extraction of above-mentioned gray value abnormal area uses gray level threshold segmentation method.
Another technical scheme of the present invention is that a kind of increasing material manufacturing equipment for monitoring powdering quality is wrapped
The filming apparatus positioned at forming platform overlying regions are included, filming apparatus are connected with computer.
Further, filming apparatus are video camera.
The beneficial effects of the invention are as follows monitoring method of the invention can carry out monitor in real time to powdering quality, with convenient to operate
Personnel understand powdering quality condition at any time, pinpoint the problems in time, slacken or even eliminate because cannot real-time monitoring powdering process
And the quality of powdering, the problems such as the powdering that causes is of poor quality, part shaping fails.
Brief description of the drawings
Fig. 1 is the structural representation of the increasing material manufacturing equipment of present invention monitoring powdering quality；
Fig. 2 is the principle flow chart of powdering quality control method of the present invention.
In figure, 1. working chamber's plane, 2. video camera, 3. industrial computer, 4. powdering plane, 5. camera acquisition formed image area
Domain, 6. scraper.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and detailed description, but the present invention is not limited to
These implementation methods.
Device used in the present invention in the top centre position of working chamber's plane 1 as shown in figure 1, be provided with a shooting
Machine 2, video camera 2 is connected by the industrial computer 3 with control shaping.The formed image region 5 that video camera 2 can be collected is comprising whole
Individual powdering plane 4.
After the completion of current layer powdering, the photo of shaped region is shot by video camera, obtain what is covered by formed powder
The overall intensity value information of whole forming platform, if the difference of the gray value and gray threshold is in the range of the Δ that error is allowed,
Then powdering success, if it is not, increasing material manufacturing equipment stops powdering work.
The method according to following steps as shown in Fig. 2 specifically implement：
Step 1, obtains current tomographic image
Scanned through after one layer in shaping, scraper 6 starts to lay next layer of formed powder, after the completion for the treatment of powdering, by taking the photograph
Camera shoots the photo in forming platform region.
Step 2, current layer image procossing
It is carried out into image segmentation treatment by the corresponding Image Information Processing software being pre-installed on industrial computer, and
Obtain gray value information.The image Segmentation Technology uses the maximum between-cluster variance image segmentation algorithm based on genetic algorithm.
Its splitting speed is fast, and contour area segmentation is obvious, and segmentation quality is high, can preferably reach expected image segmentation purpose.
Assuming that being A by the overall gray value in the forming platform region of the photo of shot by camera, and it is sent to meter
In calculation machine.Forming platform is laid using similar formed powder, and carries out many experiments, when being laid successfully by camera acquisition powder
Photo, calculate its average gray value, be defined as average gray threshold value B, and store in a computer.
The derivation of equation of maximum between-cluster variance (OTSU) is as follows：
Note t is the segmentation threshold of prospect and background, and prospect points account for image scaled for w0, and average gray is u0；Background dot
Number accounts for image scaled for w1, and average gray is u1.
Then the overall average gray scale of image is：U=w0*u0+w1*u1
The variance of foreground and background image：G=w0* (u0-u) * (u0-u)+w1* (u1-u) (u1-u), this formula is variance
Formula.
When variance g is maximum, it is believed that now foreground and background difference is maximum, and gray scale t now is that optimal threshold is
w1*w2*(u1-u0)*(u0-u1)。
Step 3, judge whether powdering succeeds
If by the overall gray value A and average gray threshold value B in forming platform region in the photo of shot by camera
Difference judges powdering success in the range of the Δ that error is allowed, and increasing material manufacturing equipment then continues executing with the work of shaping scanning.It is no
Then, judge that powdering fails, increasing material manufacturing equipment will send corresponding alarm, fix tentatively or stop corresponding shaping scanning work,
The complete failure of artificial treatment is treated, is eliminated after alarm, can just start again at the work of shaping scanning.
In order to determine whether the reason for powdering fails, when the difference for overall gray value A and average gray threshold value B occur not
When in the range of the Δ that error is allowed, it is possible to use gray threshold segmentation algorithm, forming platform region in extraction shooting photo
Gray value abnormal area, and the gray threshold of the gray value abnormal area is defined as C, it is sent in computer.
The gray threshold C of gray value abnormal area is compared with average gray threshold value B：
(1) if C is less than B.
A) this gray scale abnormal area may be or belt-like zone continuously or discontinuously that thus can determine whether, this kind of situation is big
The reasons such as particle attachment, scraper scratch part cause.When this happens, it is necessary to human intervention, after ability after Resolving probiems
The work of scanning can again be formed.
B) this gray scale abnormal area is likely to be sheet region continuously or discontinuously that thus can determine whether, this kind of situation is powder
Cause less.When this happens, upper computer software needs the deposit in time to formed powder in powder falling bucket to judge, enters one
Step confirms whether the deposit of formed powder is sufficient, if deposit is sufficient, that should be just dust feeder exception.If formed powder
Deposit be not enough to support ensuing shaping scanning work, the shaping scanning work of increasing material manufacturing equipment equally can be whole
Only.
No matter which kind of problem of both the above situation is occurred, and error message can be sent to upper computer software by PLC, upper
Machine software can further eject error, possible error reason and corresponding treatment advice be pointed out, to help increase material system
Manufacturing apparatus operating personnel investigate problem, solve failure.
(2) if C is more than B.
This kind of reason is that accumulated powder is excessive in doctor blade holder powder falling groove, causes the formed powder of shaping scanning current layer laying to exceed
Default shaping thickness.When this occurs, warning message can be sent to upper computer software, upper computer software by PLC
Alert window can be equally ejected, to point out current alarm situations, is treated after the completion of current layer shaping scanning, upper computer software can be certainly
It is dynamic that halted state is entered into by working condition, at this time, it may be necessary to human intervention, i.e., by the manual clear powder of increasing material manufacturing equipment operator
And powder falling again, and the powder falling amount of automatic mode is adjusted, so that increasing material manufacturing equipment can preferably will shaping scanning work
Go on.
After Chu Liwan failures, eliminate warning message after, powdering and using the inventive method powdering quality is entered again again
Row monitoring, until powdering success, then the shaping scanning work for carrying out next layer.
Claims (6)
1. a kind of powdering quality control method, it is characterised in that after the completion of current layer powdering, by being arranged in forming platform
The video camera of side shoots the photo of shaped region, and the overall gray value for obtaining the whole forming platform covered by formed powder is believed
Breath, if the difference of the gray value and gray threshold set in advance is in the range of error permission, powdering success, if not by mistake
In the range of difference is allowed, increasing material manufacturing equipment stops powdering work.
2. powdering quality control method according to claim 1, it is characterised in that comprise the following steps：
Step 1, obtains current tomographic image
After the completion of the laying of current layer powder, the photo in forming platform region is shot by video camera；
Step 2, current layer image procossing
Maximum between-cluster variance image segmentation algorithm based on genetic algorithm carries out image segmentation treatment to the photo for shooting, and obtains
The overall gray value A in forming platform region；Forming platform is laid using similar formed powder, and carries out many experiments, by imaging
Machine collection powder lays photo when successfully, calculates its average gray value, is defined as average gray threshold value B；
Step 3, judge whether powdering succeeds
If the difference of overall gray value A and average gray threshold value B is in the range of error permission, powdering success is judged, increase material
Manufacturing equipment continues executing with the work of shaping scanning；Otherwise, judge that powdering fails, increasing material manufacturing equipment stops corresponding shaping and sweeps
Work is retouched, the complete failure of artificial treatment, then the work for starting shaping scanning is treated.
3. powdering quality control method according to claim 1, it is characterised in that when overall gray value A and average gray
During the scope that the difference of threshold value B is allowed beyond error, the gray value abnormal area for shooting forming platform region in photo is extracted, and
The gray threshold of the gray value abnormal area is defined as C, by the gray threshold C of gray value abnormal area and average gray threshold value
B is compared, and judges the reason for powdering fails：
If C is less than B, powdering is probably unsuccessfully because the reasons such as bulky grain attachment, scraper scratch part cause, it is also possible to powder
Cause less；
If C is more than B, powdering is unsuccessfully because accumulated powder excessively causes in doctor blade holder powder falling groove.
4. powdering quality control method according to claim 3, it is characterised in that the extraction of the gray value abnormal area
Use use gray level threshold segmentation method.
5. a kind of increasing material manufacturing equipment for monitoring powdering quality, it is characterised in that including positioned at forming platform overlying regions
Filming apparatus, filming apparatus are connected with computer.
6. increasing material manufacturing equipment according to claim 5, it is characterised in that the filming apparatus are video camera.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710044380.2A CN106846335A (en) | 2017-01-19 | 2017-01-19 | A kind of powdering quality control method and increasing material manufacturing equipment |
| PCT/CN2017/095595 WO2018133375A1 (en) | 2017-01-19 | 2017-08-02 | Method for monitoring powder spreading quality and additive manufacturing device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710044380.2A CN106846335A (en) | 2017-01-19 | 2017-01-19 | A kind of powdering quality control method and increasing material manufacturing equipment |
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| WO (1) | WO2018133375A1 (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018133375A1 (en) * | 2017-01-19 | 2018-07-26 | 西安铂力特增材技术股份有限公司 | Method for monitoring powder spreading quality and additive manufacturing device |
| CN109158597A (en) * | 2018-08-20 | 2019-01-08 | 湖南华曙高科技有限责任公司 | Powdering quality detection method, equipment, readable storage medium storing program for executing and three-dimension object manufacturing method |
| CN110052713A (en) * | 2019-03-22 | 2019-07-26 | 江南大学 | Part increases and decreases material composite manufacturing technology |
| EP3569331A1 (en) * | 2018-05-15 | 2019-11-20 | Honeywell International Inc. | Devices and methods for evaluating the spreadability of powders utilized in additive manufacturing |
| CN110508811A (en) * | 2019-09-06 | 2019-11-29 | 汕头市瑞祥模具有限公司 | It is a kind of increase and decrease material composite manufacturing process in quality testing and automatic correcting method |
| CN110709194A (en) * | 2017-08-08 | 2020-01-17 | 三菱重工业株式会社 | Construction abnormality detection system for three-dimensional laminated molding device, construction abnormality detection method for three-dimensional laminated molding device, method for manufacturing three-dimensional laminated molded object, and three-dimensional laminated molded object |
| CN110732667A (en) * | 2018-07-20 | 2020-01-31 | 株式会社沙迪克 | Method for molding object |
| CN111168064A (en) * | 2019-12-02 | 2020-05-19 | 西安铂力特增材技术股份有限公司 | Support automatic repairing method based on additive manufacturing |
Families Citing this family (1)
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| CN111800611B (en) * | 2020-07-02 | 2021-12-31 | 上海新研工业设备股份有限公司 | On-line stream inoculation machine detection device and detection method and application |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090154814A1 (en) * | 2007-12-12 | 2009-06-18 | Natan Y Aakov Ben | Classifying objects using partitions and machine vision techniques |
| CN204422436U (en) * | 2015-03-02 | 2015-06-24 | 三峡大学 | A kind of ceramic tile patterns defect detecting device based on machine vision |
| CN105728344A (en) * | 2016-05-04 | 2016-07-06 | 成都贝森伟任科技有限责任公司 | Tablet pack defective rejecting system based on machine vision technique |
| CN106312062A (en) * | 2016-08-02 | 2017-01-11 | 西安铂力特激光成形技术有限公司 | Method for detecting powder laying quality and additive manufacturing device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106846335A (en) * | 2017-01-19 | 2017-06-13 | 西安铂力特激光成形技术有限公司 | A kind of powdering quality control method and increasing material manufacturing equipment |
-
2017
- 2017-01-19 CN CN201710044380.2A patent/CN106846335A/en active Pending
- 2017-08-02 WO PCT/CN2017/095595 patent/WO2018133375A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090154814A1 (en) * | 2007-12-12 | 2009-06-18 | Natan Y Aakov Ben | Classifying objects using partitions and machine vision techniques |
| CN204422436U (en) * | 2015-03-02 | 2015-06-24 | 三峡大学 | A kind of ceramic tile patterns defect detecting device based on machine vision |
| CN105728344A (en) * | 2016-05-04 | 2016-07-06 | 成都贝森伟任科技有限责任公司 | Tablet pack defective rejecting system based on machine vision technique |
| CN106312062A (en) * | 2016-08-02 | 2017-01-11 | 西安铂力特激光成形技术有限公司 | Method for detecting powder laying quality and additive manufacturing device |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018133375A1 (en) * | 2017-01-19 | 2018-07-26 | 西安铂力特增材技术股份有限公司 | Method for monitoring powder spreading quality and additive manufacturing device |
| CN110709194A (en) * | 2017-08-08 | 2020-01-17 | 三菱重工业株式会社 | Construction abnormality detection system for three-dimensional laminated molding device, construction abnormality detection method for three-dimensional laminated molding device, method for manufacturing three-dimensional laminated molded object, and three-dimensional laminated molded object |
| US11185925B2 (en) | 2017-08-08 | 2021-11-30 | Mitsubishi Heavy Industries, Ltd. | Process abnormality detection system for three-dimensional additive manufacturing device, three-dimensional additive manufacturing device, process abnormality detection method for three-dimensional additive manufacturing device, method for manufacturing three-dimensional additive manufactured product, and three-dimensional additive manufactured product |
| US10620103B2 (en) | 2018-05-15 | 2020-04-14 | Honeywell International Inc. | Devices and methods for evaluating the spreadability of powders utilized in additive manufacturing |
| EP3569331A1 (en) * | 2018-05-15 | 2019-11-20 | Honeywell International Inc. | Devices and methods for evaluating the spreadability of powders utilized in additive manufacturing |
| CN110732667A (en) * | 2018-07-20 | 2020-01-31 | 株式会社沙迪克 | Method for molding object |
| CN110732667B (en) * | 2018-07-20 | 2021-09-14 | 株式会社沙迪克 | Method for molding object |
| CN109158597B (en) * | 2018-08-20 | 2020-12-08 | 湖南华曙高科技有限责任公司 | Powder laying quality detection method and device, readable storage medium and three-dimensional object manufacturing method |
| CN109158597A (en) * | 2018-08-20 | 2019-01-08 | 湖南华曙高科技有限责任公司 | Powdering quality detection method, equipment, readable storage medium storing program for executing and three-dimension object manufacturing method |
| CN110052713B (en) * | 2019-03-22 | 2020-04-10 | 江南大学 | Composite manufacturing process for increasing and decreasing materials of parts |
| CN110052713A (en) * | 2019-03-22 | 2019-07-26 | 江南大学 | Part increases and decreases material composite manufacturing technology |
| CN110508811A (en) * | 2019-09-06 | 2019-11-29 | 汕头市瑞祥模具有限公司 | It is a kind of increase and decrease material composite manufacturing process in quality testing and automatic correcting method |
| CN111168064A (en) * | 2019-12-02 | 2020-05-19 | 西安铂力特增材技术股份有限公司 | Support automatic repairing method based on additive manufacturing |
| CN111168064B (en) * | 2019-12-02 | 2022-04-05 | 西安铂力特增材技术股份有限公司 | Support automatic repairing method based on additive manufacturing |
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| Publication number | Publication date |
|---|---|
| WO2018133375A1 (en) | 2018-07-26 |
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Address after: 710075 Xi'an high tech Zone, Shaanxi science and technology road, No. 48 venture Plaza A0508 Applicant after: Xi'an platinum power technology Limited by Share Ltd Address before: 710075 Xi'an high tech Zone, Shaanxi science and technology road, No. 48 venture Plaza A0508 Applicant before: Xi'an Bright Laser Technology Ltd. |
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Application publication date: 20170613 |