WO2021058386A1 - Dispositif et procede de controle de pieces - Google Patents
Dispositif et procede de controle de pieces Download PDFInfo
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- WO2021058386A1 WO2021058386A1 PCT/EP2020/076075 EP2020076075W WO2021058386A1 WO 2021058386 A1 WO2021058386 A1 WO 2021058386A1 EP 2020076075 W EP2020076075 W EP 2020076075W WO 2021058386 A1 WO2021058386 A1 WO 2021058386A1
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- WO
- WIPO (PCT)
- Prior art keywords
- parts
- image
- images
- quality control
- sensor
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims description 23
- 238000004519 manufacturing process Methods 0.000 claims abstract description 29
- 238000002347 injection Methods 0.000 claims abstract description 21
- 239000007924 injection Substances 0.000 claims abstract description 21
- 238000000711 polarimetry Methods 0.000 claims abstract description 15
- 238000001931 thermography Methods 0.000 claims abstract description 14
- 239000004033 plastic Substances 0.000 claims description 19
- 239000012815 thermoplastic material Substances 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000003908 quality control method Methods 0.000 description 35
- 238000010586 diagram Methods 0.000 description 6
- 238000001746 injection moulding Methods 0.000 description 6
- 238000005259 measurement Methods 0.000 description 6
- 239000002994 raw material Substances 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 239000000463 material Substances 0.000 description 5
- 238000001816 cooling Methods 0.000 description 4
- 238000010422 painting Methods 0.000 description 4
- 238000007493 shaping process Methods 0.000 description 4
- 239000008187 granular material Substances 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 230000010287 polarization Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000007711 solidification Methods 0.000 description 3
- 230000008023 solidification Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 230000002950 deficient Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000003973 paint Substances 0.000 description 2
- 238000011144 upstream manufacturing Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
Classifications
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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
- B29C45/00—Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor
- B29C45/17—Component parts, details or accessories; Auxiliary operations
- B29C45/76—Measuring, controlling or regulating
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8806—Specially adapted optical and illumination features
-
- 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
- B29C2945/00—Indexing scheme relating to injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould
- B29C2945/76—Measuring, controlling or regulating
- B29C2945/76003—Measured parameter
- B29C2945/76167—Presence, absence of objects
-
- 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
- B29C2945/00—Indexing scheme relating to injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould
- B29C2945/76—Measuring, controlling or regulating
- B29C2945/76451—Measurement means
- B29C2945/76461—Optical, e.g. laser
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29K—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES B29B, B29C OR B29D, RELATING TO MOULDING MATERIALS OR TO MATERIALS FOR MOULDS, REINFORCEMENTS, FILLERS OR PREFORMED PARTS, e.g. INSERTS
- B29K2101/00—Use of unspecified macromolecular compounds as moulding material
- B29K2101/12—Thermoplastic materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8411—Application to online plant, process monitoring
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8806—Specially adapted optical and illumination features
- G01N2021/8848—Polarisation of light
Definitions
- the present description relates generally to the manufacturing industry and, more particularly, to quality control devices and methods.
- One embodiment overcomes all or part of the drawbacks of known quality control devices and methods.
- One embodiment provides a device for checking parts during manufacture, comprising at least one image sensor configured to produce, for each part: at least one first image by thermography; and at least one second image by polarimetry.
- the device comprises exactly two image sensors, a first sensor images being configured to produce the image by thermography and a second image sensor being configured to produce the image by polarimetry.
- the device comprises a single image sensor.
- a score is assigned to each piece, as a function of the first and second images.
- a calculation of the score is, during the manufacture of the parts, adapted by a learning process.
- a presence detector is configured to detect the presence of a part.
- the parts comprise one or more thermoplastic materials.
- the parts are manufactured by injection into a mold.
- the device comprises a lighting device configured to illuminate the room.
- One embodiment provides for a method for checking parts during manufacture, implementing at least one device as described.
- One embodiment provides a system comprising: a parts manufacturing line; and a device as described.
- the device is located at the outlet of a plastic injection machine.
- FIG. 1 is a diagram of an example of a production process of the type to which the described embodiments and implementations apply;
- Figure 2 schematically shows an embodiment of a production line
- FIG. 3 schematically represents an embodiment of a quality control device
- FIG. 4 represents, by views A, B, C and D, examples of images obtained from the device of FIG.
- FIG. 5 represents a diagram of an embodiment of the device of FIG. 3.
- FIG. 6 is a diagram illustrating one embodiment of a method for checking parts.
- FIG. 1 is a diagram of an example of a production process of the type to which the described embodiments and implementations apply.
- the raw material (RAW MATERIAL) during an injection molding phase (block 10, INJECTION MOLDING), or plastic injection.
- the raw material is here typically in the form of granules consisting of thermoformable plastic material, or thermoplastic material.
- the granules are first conveyed to a plasticization sleeve by means of a mechanism comprising at least one endless screw driven by a hydraulic motor.
- the plasticization sleeve makes it possible to heat the granules above a temperature, denoted Tf, from which the thermoplastic material is in a fluid, malleable state.
- the previously heated thermoplastic material is then injected under pressure inside a mold.
- the mold comprises one or more cavities each having an imprint corresponding to a shape of the part that is to be produced.
- the temperature inside the mold is generally low enough to cause solidification of the plastic material by cooling.
- a heating system for example, by induction
- the temperature Tm is then adjusted in order to avoid, or to delay, solidification of the thermoplastic material during the injection.
- Phase 10 then continues with a maintenance step, during which a constant pressure is applied. This makes it possible to continue to supply the mold cavity (s) with thermoplastic material. This limits the shrinkage of the thermoplastic material during subsequent steps.
- the mold In the case where the mold is maintained at the temperature Tm during injection, the mold is then cooled below the temperature Tm to cause solidification of the thermoplastic material.
- Phase 10 ends with the opening of the mold and the ejection of the part or parts therein.
- the plastic parts obtained at the end of phase 10 are then stored (block 11, STORAGE).
- the parts are for example temporarily stored in crates while waiting to undergo other operations.
- a quality control (block 14, EXISTING QUALITY MEASUREMENT) is generally carried out between phases 12 and 13.
- the quality control 14 therefore relates to the parts obtained at the end of the finishing phase 12 , in other words on painted parts.
- the quality control 14 is usually carried out by sampling, in other words the quality control 14 often concerns only a small part, typically less than 10%, of the parts coming from phase 12.
- a first quality control is carried out (block 15, PROPOSED QUALITY MEASUREMENT) preceding the quality control 14, that is to say that the quality control 15 is carried out upstream of the quality control 14
- the quality control 15 is preferably carried out at the end of the injection molding phase 10, that is to say before the phases 11, 12 and 13.
- the quality control 15 is preferably carried out in addition to quality control 14.
- An advantage of quality control 15 lies in the fact that it makes it possible to detect any non-conforming parts before carrying out the storage phase 11 and the finishing or painting phase 12. It is thus possible to rule out or eliminate non-conforming parts from the end of phase 10.
- carrying out phase 12 is much more expensive, often at least ten times more expensive, than carrying out phase 10.
- Quality control 15 therefore makes it possible to reduce the risk that costly manufacturing phases are unnecessarily carried out on non-conforming parts resulting from a previous phase, but which have not yet been identified as such, these non-conforming parts generally not being able to be marketed subsequently. It may represent a significant financial gain, in particular for the industrialist in charge of manufacturing the parts.
- Another advantage of quality control therefore lies in the fact that it makes it possible to detect the major part of the nonconformities liable to affect the parts.
- the quality control 15 can for example relate to the geometric and dimensional characteristics of the parts , the quality control 14 then only concerns the painting of the parts.
- FIG. 2 schematically shows an embodiment of a production line or line 2.
- a plastic injection machine 20 (INJECTION MOLDING MACHINE), or injection molding machine, is supplied with raw material (RAW MATERIAL).
- RAW MATERIAL raw material
- parts 21 based on one or more thermoplastic materials, depending on the raw material used.
- the parts 21 are symbolized by pentagons, it being understood that, in practice, the parts 21 can be of any shape.
- the parts 21 are conveyed by a conveyor 22 (CONVEYOR), for example a belt conveyor, to a painting booth 23 (PAINTING CABIN).
- the parts 21, coming from the plastic injection machine 20, are painted inside the paint booth 23.
- painted parts 21 ' are conveyed, by another conveyor 22'. (alternatively, by the same conveyor), up to a storage location 24 (STORAGE).
- the production line 2 comprises a device 25 adapted to implement the quality control 15 as explained in relation to Figure 1.
- This device 25 is placed at the outlet of the plastic injection machine 20, that is to say before any other manufacturing step, in particular before the painting booth 23.
- the device 25 is placed directly above the parts 21 transported by the conveyor 22.
- the device 25 is more precisely located. at a distance, denoted D, from the parts 21 which pass vertically from the device 25.
- the distance D is adjusted as a function of dimensional, geometric, etc. characteristics. parts to be checked.
- the distance D is preferably between about 20 cm and about 2 m.
- the shaping of a part 21 using the injection machine 20 takes about 10 seconds to about 30 seconds.
- the conveyor 22 is stopped for a period of time less than the time for shaping a part 21, for example for less than 5 seconds, each time a part 21 is located substantially at the end. plumb of the quality control device. This allows the device 25 to carry out online, that is to say during manufacture, a quality control on all the parts 21 of line 2 without, however, penalizing the production rate of line 2.
- Such sensors called invasive, would however have been subjected to environmental conditions, in particular temperature and pressure, very restrictive. In particular, this would have severely limited the lifespan of the sensors.
- the sensors would also have been very inaccessible, which would have made their maintenance more complex.
- An advantage of the device 25 lies in the fact that the device 25 is non-invasive. This allows in particular the device 25 to be independent of the plastic injection machine 20 and to be exposed to mild environmental conditions. This greatly facilitates the integration of the device 25 on an existing production line.
- the device 25 can also be installed so as to facilitate its accessibility, which simplifies maintenance.
- FIG. 3 schematically represents an embodiment of a device 25 for quality control.
- the device 25 comprises in particular: a first image sensor 250; a second image sensor 251; a part presence detector 252, or part presence sensor, located near the image sensors 250, 251; and a lighting device 254, arranged at the periphery of the image sensors 250, 251 and of the presence detector
- the lighting device 254 configured to light the room, is for example made up of a succession of light-emitting diodes 256 forming a ring on the periphery of the sensors 250, 251 and of the detector 252.
- the device 25 further comprises a control circuit 258.
- the control circuit 258 is for example connected to the image sensors 250 and 251.
- the control circuit 258 is for example suitable for controlling the acquisition of images by each image sensor 250, 251. More particularly, the control circuit 258 is for example suitable for simultaneously controlling the acquisition, for each part to be inspected, of a first image by the first sensor images 250 and a second image by the second image sensor 251.
- the image sensors 250 and 251 are configured to produce different types of images of visible images that can be obtained by means of a “conventional” image sensor.
- the image sensor 250 is, in particular, configured to produce images by polarimetry, or images in polarized light, while the second image sensor 251 is configured to produce images by thermography, or thermal images.
- the device 25 comprises a single image sensor combining the functions of the first sensor 250 and of the second sensor 251.
- Each sensor 250, 251 is preferably associated with a shooting orifice.
- the two sensors 250 and 251 share the same shooting orifice, one or more mirrors then making it possible to return the image to each of the two sensors 250, 251.
- the first sensor 250 preferably has an optical system. different from that of the second sensor 251, these two sensors operating in different wavelength ranges.
- the polarized images are obtained by reflection, on the part, of an incident light emitted by the ring lighting 254.
- the polarized images provide information relating to a surface condition of the part to be inspected.
- the incident light is preferably unpolarized.
- the incident light emitted by the lighting 254 is polarized, for example depending on the material of which the part to be checked is made.
- a filter (not shown) of linear or circular polarization is positioned in front of the lighting 254 in an orientation suited to the material to be imaged.
- the lighting 254 is preferably on when a room is detected by the presence detector 252.
- the lighting 254 is preferably off when the detector 252 does not detect a room. This allows in particular an energy saving and / or an increase in the lifespan of the lighting components 254.
- Thermal images are obtained by capturing an infrared image of the part to be checked when this part is still hot, for example at the outlet of the machine injection molding 20 (figure 2).
- the thermal images provide information on the geometry of the part to be checked.
- the lighting 254 is preferably made up of a plurality of light emitting diodes 256 intended to illuminate a room or an object, for example, one of the parts 21 (FIG. 2), on which it is desired to perform a Quality Control .
- the device 25 is, according to this embodiment, of substantially spherical shape.
- the device 25 then has an outside diameter of about 20 cm.
- An advantage of the device 25 lies in the fact that it makes it possible to couple an analysis of images in polarized light and an analysis of thermal images. This makes it possible in particular to obtain a level of detection equivalent to that which would be provided by a thermographic or polarimetric sensor alone (for example, the first sensor 250 alone or the second sensor 251 alone) with a resolution greater than that of the sensor 250 and / or of sensor 251.
- the device 25 explained in relation to FIG. 3 lies in the fact that the device 25 has compact dimensions, which in particular allow it to be easily installed on a production line, for example line 2 (FIG. 2).
- the device 25 also embeds a processing system, for example a computer (not visible in FIG. 3), intended to process the polarized images and the thermal images respectively acquired by the image sensors 250 and 251.
- the computer of the device 25 is preferably a fanless computer, in other words a computer without a fan.
- FIG. 4 schematically represents, through views A, B, C and D, examples of images obtained from the device 25 of FIG. 3.
- View A represents, more precisely, a thermal image of a part 4, for example a container of substantially square shape and having rounded corners.
- This thermal image is captured by the device 25 at the outlet of the plastic injection machine 20 (FIG. 2).
- the device 25 is placed near the plastic injection machine 20, so that the part 4 is still hot during the acquisition of the thermal image.
- the thermal image makes it possible to highlight temperature differences between areas of the room 4.
- dark regions 401 located approximately in the corners of the room 4 correspond to areas of room 4 where the temperature is lower than in a lighter region 403 located approximately in the center of room 4.
- the thermal image can be, as illustrated in view A, a grayscale image in which a contrast between different regions is interpreted as a temperature difference between these regions.
- the thermal image can alternatively be a color image, in which a color code is associated with a temperature range in which the different regions of the part 4 are likely to be located.
- the inventors have observed that the thermal images, such as that illustrated in view A, make it possible to predict the final geometry of the part after cooling. In the case of parts having a significant thickness, for example of the order of several centimeters, the cooling can last up to one day.
- One advantage of the device 25 is that it makes it possible to detect any defective parts. as soon as they leave the plastic injection machine, without having to wait for their complete cooling. These parts can thus be removed from the production line as soon as possible.
- Views B, C and D respectively represent images by polarimetry of part 4 obtained for different polarization angles, for example 0 °, 45 ° and 90 °. These images present iridescence symbolized, in views B, C and D, by concentric rings 421.
- the shape of the rings 421, which changes according to the angle of polarization, provides indications relating to the surface condition of the part 4 .
- FIG. 5 represents a diagram of an embodiment of the device of FIG. 3.
- hardware interfaces or control terminals for example desktop computers and / or mobile phones (block 504, Desktop and Mobile ) are made available to at least one operator (block 500, Users).
- the hardware control interfaces 502 allow the operator 500 to connect to a computing platform in the cloud (506, Cloud).
- the connection is, in the example of FIG. 5, subjected to an authentication process (block 508, Auth).
- the platform 506 hosts a software infrastructure (block 510, Infrastructure System) comprising in particular an application (block 512, Application) dedicated to the processing of the images acquired by the device 25.
- a software infrastructure (block 510, Infrastructure System) comprising in particular an application (block 512, Application) dedicated to the processing of the images acquired by the device 25.
- the The application 512 processes data coming from a buffer memory (block 514, Serving Cache), supplied by a data server (block 516, File server), and data coming from a database (block 518, Database) .
- the database 518 and the data server 516 are part of a data storage entity (block 520, Data Storage).
- the data stored in the entity 520 come from a measurement bench (block 522, Measurement Bench) comprising the device 25.
- the measurement bench 522 can also include other measurement systems shown in FIG. 5 , by a single block 524 (Measure).
- the interface 502 communicates in real time with the infrastructure 510, comprising the database 518.
- the measuring bench 522 updates the database 518 by recording there the images by polarimetry and thermography captured by the device 25.
- the data contained in the database 518 are, for each part 21, evaluated against a quality model (block 526, Deep Learning Quality Model).
- the quality model 526 makes it possible to assign a score to each part 21, as a function of one or more images by polarimetry and one or more images by thermography of the part 21 considered.
- the calculation of this score is, during the manufacture of the parts 21, adapted (modified) by a learning process.
- the learning process is preferably a machine learning process, for example a deep learning process implemented by a neural network.
- the operator 500 begins by establishing the quality model 526 from a batch comprising, for example, a hundred pieces 21. According to a preferred embodiment, it is ensured that the batch is composed about 50% of parts 21 that can be considered as conforming to a specification and about 50% of parts 21 not conforming to these specifications. Via the application 512, the operator 500 then indicates, for each part 21 of the batch, whether the part 21 considered is compliant or non-compliant. In addition, the operator 500 assigns a score to each part 21 and enters this score in the application 512. The initial quality model 526 is thus established.
- new parts 21 are analyzed by the application 512.
- a score is then assigned to these new parts 21 from the initial quality model 526.
- the operator 500 can improve the quality model 526 as parts 21 are produced.
- the operator 500 can also complete the quality model 526 by validating a score proposed by the application 512 or by modifying the score proposed by the application 512, for example in the event of an evaluation error compared to the quality model 526.
- the attribution of the score preferably takes less than 10 seconds. This thus allows the operator 500 to follow, almost in real time, the quality of the parts 21 produced.
- a feedback loop makes it possible to modify the operating parameters of the plastic injection machine 20 (FIG. 2) as a function of the scores assigned by the application 512. This makes it possible to correct the problem. sooner possible drifts of the plastic injection machine 20.
- FIG. 6 is a diagram illustrating one mode of implementation of a method for checking parts. In the example shown, the method is applied to the inspection of one of the parts 21 of the production line 2 previously described in relation to FIG. 2.
- step 601 the conveyor 22 (FIG. 2) is for example started so as to bring the part 21 to be checked under the device 25.
- step 603 SWITCH LIGHT ON WHEN PART ALIGNED WITH DEVICE
- the lighting device 254 is turned on in order to illuminate the room 21 to be controlled.
- step 605 CAPTURE POLARIMETRIC IMAGE OF THE PART USING FIRST IMAGE SENSOR
- the first image sensor 250 produces an image by polarimetry of the part 21 to be checked.
- step 607 CAPTURE THERMOGRAPHIC IMAGE OF THE PART USING SECOND IMAGE SENSOR
- steps 605 and 607 are simultaneous.
- the control circuit 258 transmits for example a shooting command to each image sensor 250, 251.
- the shooting commands are for example transmitted simultaneously by the control circuit. command 258.
- the shooting commands may reach the image sensors 250 and 251 with a slight time lag relative to each other.
- one of the commands can be received by one of the sensors 250, 251 before the other command is received by the other sensor 251, 250.
- Such a time shift is for example linked to a difference in electrical capacity between transmission lines of the shooting commands.
- the shooting command can be executed by the image sensor 250 after a slightly different processing time from that of the image sensor 251.
- the sensors 250 and 251 can nevertheless produce the images by polarimetry and by thermography with a slight time shift with respect to one another.
- steps 605 and 607 it may be desirable to immobilize the part 21 to be checked when simultaneous capture of images by polarimetry and thermography.
- the conveyor 22 is for example stopped when the part 21 to be inspected is substantially aligned with respect to the optical axes of the image sensors 250 and 251 of the device 25.
- the images by polarimetry and by thermography are produced. while the part 21 to be checked is moved by the conveyor 22. In this case, the movement of the part 21 to be checked can be slowed down when the images are captured in order to facilitate the shooting.
- the step 603 of switching on the lighting device 254 and the steps 605 and 607 for producing the images by polarimetry and by thermography are for example separated by a period making it possible to stabilize the lighting. For example, it is possible to wait for the lighting device 254 to reach a sufficiently stable light intensity so as not to disturb the image captures. For example, the stabilization time of the lighting is of the order of a few tenths of a second to a few seconds.
- step 609 SWITCH LIGHT OFF
- the lighting device 254 is turned off.
- An advantage associated with turning off the lighting device 254 after each inspection of a part 21 is that this makes it possible to extend the life of the device 25, for example in the case illustrated in FIG. 3 where the device d
- the lighting 254 is based on light emitting diodes 256. This further enables energy savings to be made.
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- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Mechanical Engineering (AREA)
- Injection Moulding Of Plastics Or The Like (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
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CA3155687A CA3155687A1 (fr) | 2019-09-27 | 2020-09-18 | Dispositif et procede de controle de pieces |
EP20775271.8A EP4034866A1 (fr) | 2019-09-27 | 2020-09-18 | Dispositif et procede de controle de pieces |
US17/762,476 US20220339835A1 (en) | 2019-09-27 | 2020-09-18 | Part control device and method |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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FRFR1910706 | 2019-09-27 | ||
FR1910706A FR3101419B1 (fr) | 2019-09-27 | 2019-09-27 | Dispositif et procédé de contrôle de pièces |
Publications (1)
Publication Number | Publication Date |
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WO2021058386A1 true WO2021058386A1 (fr) | 2021-04-01 |
Family
ID=69158044
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/EP2020/076075 WO2021058386A1 (fr) | 2019-09-27 | 2020-09-18 | Dispositif et procede de controle de pieces |
Country Status (5)
Country | Link |
---|---|
US (1) | US20220339835A1 (fr) |
EP (1) | EP4034866A1 (fr) |
CA (1) | CA3155687A1 (fr) |
FR (1) | FR3101419B1 (fr) |
WO (1) | WO2021058386A1 (fr) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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US20090030544A1 (en) * | 2007-07-26 | 2009-01-29 | 3M Innovative Properties Company | Multi-unit process spatial synchronization of image inspection systems |
KR20170122649A (ko) * | 2016-04-27 | 2017-11-06 | 이. 솔루션스 게엠베하 | 디스플레이 유닛을 검사하기 위한 기술 |
WO2019025011A1 (fr) * | 2017-08-04 | 2019-02-07 | Toyota Motor Europe | Procédé non destructif de détection d'irrégularités dans un intermédiaire composite unidirectionnel |
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2019
- 2019-09-27 FR FR1910706A patent/FR3101419B1/fr active Active
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2020
- 2020-09-18 US US17/762,476 patent/US20220339835A1/en active Pending
- 2020-09-18 EP EP20775271.8A patent/EP4034866A1/fr active Pending
- 2020-09-18 WO PCT/EP2020/076075 patent/WO2021058386A1/fr active Application Filing
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US20090030544A1 (en) * | 2007-07-26 | 2009-01-29 | 3M Innovative Properties Company | Multi-unit process spatial synchronization of image inspection systems |
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Publication number | Publication date |
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FR3101419B1 (fr) | 2022-02-04 |
EP4034866A1 (fr) | 2022-08-03 |
FR3101419A1 (fr) | 2021-04-02 |
CA3155687A1 (fr) | 2021-04-01 |
US20220339835A1 (en) | 2022-10-27 |
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