OPTICAL STRUCTURAL HEALTH MONITORING
20240410686 ยท 2024-12-12
Inventors
Cpc classification
B64U2201/10
PERFORMING OPERATIONS; TRANSPORTING
B64F5/60
PERFORMING OPERATIONS; TRANSPORTING
B64U2201/202
PERFORMING OPERATIONS; TRANSPORTING
B64U2101/30
PERFORMING OPERATIONS; TRANSPORTING
B25J15/0019
PERFORMING OPERATIONS; TRANSPORTING
B64U80/25
PERFORMING OPERATIONS; TRANSPORTING
G01B11/16
PHYSICS
International classification
G01B11/16
PHYSICS
B25J15/00
PERFORMING OPERATIONS; TRANSPORTING
Abstract
Methods, systems and devices for optical structural health monitoring of a subject, including the utilization of pointillism to provide a design or painting of the surface of the structure to be monitored, which also serves as a mechanism for conducting SHM, implementing digital image correlation (DIC) by applying a pattern comprising a random dot pattern and/or codes. The subject is imaged using imaging equipment to capture images of the pattern. For some applications, the captured images of the pattern and codes are stored in a CAD file that represents the subject or portion thereof to which the pattern and codes are applied, and includes the locations of the pattern and codes. Indicia applied to a structure may be applied using a paintjet or inkjet, or robotic mechanism, while some applications implement pre-patterning of a composite sheet that is used to form the structure.
Claims
1. A method for conducting structural health monitoring of a spacecraft located or operating in space using an inspection drone, the method comprising: a) optically capturing a pattern of the spacecraft with the inspection drone; b) measuring the pattern to determine the condition of the spacecraft; c) providing one or more optically discernable codes in the captured image pattern of the spacecraft, d) wherein said pattern of the spacecraft includes one or more of the codes that are the same one or more codes provided in the captured image pattern of the spacecraft; e) wherein said pattern comprises indicia in addition to said one or more codes; and f) wherein measuring the pattern to determine the condition of the spacecraft includes aligning the one or more codes, and carrying out a comparison of historical captures of the pattern to determine whether changes have taken place in the spacecraft.
2. A method for conducting structural health monitoring of a spacecraft located or operating in space with an inspection drone, the method comprising: a) designating a spacecraft or portion thereof to be monitored; b) applying a pattern on the spacecraft; c) imaging the pattern with equipment that captures the image of the pattern, wherein said equipment is carried on said inspection drone, the inspection drone being configured to operate in space; d) storing the image captured in step c); e) wherein imaging the pattern in step c) is carried out at least at some times during when the spacecraft is operating in space, and wherein when the inspection drone is operating in space.
3. The method of claim 2, wherein the pattern comprises one or more of a pattern of random dots and one or more codes.
4. The method of claim 3, wherein said inspection drone includes a rechargeable power supply and a gas storage system storing pressurized gas, and wherein said method includes maneuvering the inspection drone using said pressurized gas to position the inspection drone relative to the spacecraft for inspection of the spacecraft or portion thereof.
5. The system of claim 2, wherein said inspection drone includes a mechanism for implementing a repair to said spacecraft while the spacecraft is located or operating in space.
6. The system of claim 4, including maneuvering said inspection drone to a docking location, and at said docking location recharging one or more or both of said rechargeable power supply and said pressurized gas.
7. The method of claim 2, wherein said pattern comprises an invisible pattern.
8. The method of claim 7, wherein the invisible pattern comprises a pattern of a UV fluorescing coating.
9. The method of claim 8, wherein the UV coating is a UV paint or dye.
10. The method of claim 8, wherein the pattern is formed in the pattern areas by applying a UV paint.
11. The method of claim 2, including storing the image captured in step c) in a database.
12. The method of claim 11, wherein steps c) and d) are repeated over time intervals, and wherein monitoring of one or more conditions of the spacecraft or portion thereof is carried out.
13. The method of claim 12, wherein monitoring one or more conditions comprises conducting Digital Image Correlation (DIC) or thermography NDT to compare the historical imaging results to current.
14. The method of claim 13, including determining whether slight changes of the spacecraft or portion thereof have taken place.
15. The method of claim 14, including implementing machine learning by operating a computer with software containing instructions to determine the structural changes that have been indicated by one or more prior actions of an operator of the system to be of interest or warrant a closer view, and applying the parameters of the changes to the compared images of the structure or portion thereof that caused the operator of the system to be of interest or warrant a closer view to the software so that the software programs itself through changes that the software makes to itself, to detect those changes when they are present in images being compared, in a further analysis.
16. The method of claim 15, wherein at least one coded marker is embedded in the spacecraft image for alignment with previous data.
17. The method of claim 16, including implementing machine learning by operating a computer with software containing instructions to determine the structural changes that have been indicated by one or more prior actions of an operator of the system to be of interest or warrant a closer view, and applying the parameters of the changes to the compared images of the spacecraft structure or portion thereof that caused the operator of the system to be of interest or warrant a closer view to the software so that the software programs itself through changes that the software makes to itself, to detect those changes when they are present in images being compared, in a further analysis.
18. The method of claim 15, wherein structural changes comprise one or more of changes in shape, in 3D deformation, surface strain, or NDT results.
19. The method of claim 12, wherein the image stored in the database is stored as a CAD-coordinated related image (CAD-CRI) that includes coordinates of the spacecraft or portion thereof and coordinates of the pattern.
20. The method of claim 2, wherein the pattern comprises a random dot pattern.
21. The method of claim 2, wherein the pattern comprises at least one code.
22. The method of claim 19, wherein the pattern further comprises at least one code.
23. The method of claim 22, wherein the code represents information about the location of the spacecraft or portion thereof.
24. The method of claim 22, including conducting a finite element analysis (FEA) comparison to determine local 3D displacement and strain requirements and limits.
25. The method of claim 24, wherein said database includes 3D displacement and strain requirements and limits for the spacecraft or portion thereof being monitored, and wherein the method includes determining from displacements between the invisible pattern imaged at at least two different time intervals, whether a threshold limit or requirement has been met or exceeded.
26. The method of claim 22, including performing a spatial alignment of a captured image and one or more historical images by aligning the invisible pattern or portion of the invisible pattern.
27. The method of claim 26, including applying with an invisible coating one or more coded targets, and wherein performing the spatial alignment is carried out using the one or more coded targets in the image.
28. The method of claim 27, wherein the one or more coded targets are applied as part of the invisible pattern.
29. The method of claim 26, including applying with an invisible coating one or more QR code targets, and wherein performing the spatial alignment is carried out using the one or more QR code targets in the image.
30. The method of claim 29, wherein the one or more QR code targets are applied as part of the invisible pattern.
31. The method of claim 13, wherein said inspection drone is maneuvered to one or more positions for conducting DIC imaging of the spacecraft or portion thereof.
32. The method of claim 31, wherein the inspection drone comprises or carries a robot mechanism for carrying out one or more of patterning and repairing of the spacecraft.
33. The method of claim, wherein the spacecraft is used to carry out imaging of the spacecraft or portion thereof.
34. The method of claim 33, including aligning the position of the drone relative to the spacecraft or portion thereof, and wherein the drone uses patterning or coding to align the position of the drone relative to the spacecraft or portion thereof.
35. The method of claim 34, wherein the drone references the CAD file of the stored coordinates for the spacecraft or portion thereof being monitored, and wherein the drone locates one or more points of the spacecraft or portion thereof to align the position of the drone.
36. The method of claim 34, including applying the invisible pattern to an spacecraft, wherein a first gross alignment of the inspection drone is carried out relative to the spacecraft, and wherein a second alignment is carried out to align the inspection drone to one or more points, locations, or components of the spacecraft, wherein the spacecraft has at least two QR codes, and wherein, for the first gross alignment, the inspection drone locates the first of said at least two QR codes of the spacecraft and aligns the position of the inspection drone relative to the first QR code, and wherein for the second alignment, the inspection drone locates a second one of said at least two QR codes of the spacecraft, and aligns the inspection drone to said second QR code of said spacecraft.
37. The method of claim 36, wherein said pattern is applied with the robot mechanism.
38. The method of claim 4, wherein the spacecraft has one or more exterior surfaces, and wherein an invisible pattern is applied to at least some of the exterior surfaces of the spacecraft.
39. The method of claim 38, wherein the spacecraft has logos or other markings thereon, and wherein the invisible pattern is applied over the logos or other markings, and wherein after application of the invisible pattern, the logos or other markings remain visible.
40. The method of claim 2, wherein the pattern comprises one or more of a pattern of random dots and one or more codes, and wherein said pattern comprises an invisible pattern, and wherein said codes contain information, and wherein said information is security protected on the codes, so that if the code is made visible, the information is protected from being understood.
41. The method of claim 40, including a decoder that decodes the security protected information of the code.
42. The method of claim 2, wherein at least one pattern or portion thereof, or code, is applied to the spacecraft using a coating that is visible under a first wavelength and wherein at least one other second pattern or portion thereof or other code, is applied to the spacecraft using a coating that is visible under a second wavelength.
43. The method of claim 42, wherein said codes are applied using a coating that is visible under a wavelength that is different than the wavelength under which the pattern may be visible.
44. The method of claim, wherein said 25 displacement and strain requirements and limits for the spacecraft or portion thereof being monitored are compared against one or more of a manufacturing reference, delivery reference, previous year reference, and previous inspection reference.
45. The method of claim 2, wherein the applying a pattern with the space inspection drone includes one or more of: (i) one or more QR codes or (ii) a pointillized image, and determining from the imaging of the pattern, the presence of or the extent of strain or deformation of the spacecraft or an area of the spacecraft or portion thereof at the one or more locations of the spacecraft or portion thereof where the pointillized image or QR code is applied.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0054] The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.
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DETAILED DESCRIPTION OF THE INVENTION
[0082] Referring to
[0083] In
[0084] Referring to
[0085] Alternatively, the pattern, such as the random pattern 300, or other patterns and codes shown and described herein, may be applied using any suitable paint or coating application procedure, including manual application with a roller or squeegee or brush, or a robotic application using a robot (and one or more of the aforementioned applicators), or by printing it onto the panel surface with one or more printing heads that dispense the coating (e.g., paint or ink). For example, according to one implementation, the paint may be applied by positioning the panel or structure at a desired location to receive the patterning. The print head may be carried on a frame, such as, for example, a gantry that moves the print head relative to the surface to which the pattern is being applied.
[0086] According to embodiments of the invention, the system, method and devices may be used to apply patterns to existing structures, including structures that are already in use and have markings or decorations on them (such as logos or other markings that the item or structure may be required to display).
[0087] Referring to
[0088] According to some embodiments, where the applied pattern is used for testing, and not in public use, the pattern may be applied to remain visible on the surface of the substrate.
[0089] The pattern may be imaged and stored prior to the testing, and may be associated with the CAD drawing of the imaged part, so that the pattern is mapped to x,y,z coordinates of the CAD. According to preferred embodiments, a UV fluorescent coating, such as a paint or ink, may be used for testing purposes, if desired.
[0090] Referring to
[0091] According to preferred embodiments, the pattern as well as the code markers may be applied onto the structure with the use of paint or ink, and may, according to some preferred embodiments, be applied with a printer. The coating applied, such as ink or paint, preferably is a UV fluorescent paint that is not visible when viewed by a human in conventional lighting conditions (daylight, sunlight, or typical artificial lighting used in buildings). A UV light source preferably is used when the structural health analysis is carried out. The UV light source preferably includes one or more wavelengths that may be used to image the UV paint or ink. A camera having an image sensor that will record the UV applied pattern and codes captures the pattern and codes.
[0092] Although codes are referred to, examples of codes may include circular bar codes with numeric references as are shown in
[0093] Referring to
[0094] As shown in
[0095] As shown in
[0096] Referring to
[0097]
[0098] According to some preferred embodiments methods, systems and devices are provided for conducting optical structural health monitoring that uses both a 3D imaging system with imaging components (cameras, light source), such as ARAMIS (see e.g.,
[0099] According to preferred embodiments, ARAMIS provides the 3D perspective to CAD to the Thermography, so that defects may be precisely located, not currently possible. The combined results show, deformation (dents), strain (material stressing), and delaminations (laminar failure), all in 3D coordinates (known location on vehicle and which specific structure). The RVAT database may be updated each time structural health monitoring is conducted for an object (or substrate). The historical information, from the RVAT database, of previous inspections for each point, provides hugely greater sensitivity to early detection of defects. Another benefit obtained with the present method, system and devices is the elimination or minimization of not false positives from existing structure. ARAMIS and Thermography also validate each other's measurements for critical defects. In addition, the validation verses FEA is highly powerful for the ARAMIS Thermography result determination of defect effectivity.
[0100] Referring to
[0101] Preferred embodiments of the system, method and devices, use an invisible pattern to measure with an optical measurement method. An imaging component, such as a camera, preferably is used in conjunction with a light source that provides a suitable wavelength of light output that may be delivered to the substrate or surface being measured. The optical measurement method may be a method that obtains and stores pattern location at a particular point in time, and images to obtain and store the pattern location at a subsequent point in time, such as after activity or stress loading has taken place. The imaging information, including the pattern locations of the indicia forming the pattern are correlated to determine whether changes have taken place, and where those changes have occurred, and the extent of the changes and directions. The information may be used to determine strain and whether the part or article is suitable for continued service, or whether repairs or replacements are necessary. A UV paint or ink is used to apply the dot pattern to the structure surface, so that the dot pattern may be measured on the structure surface. A database is constructed and stores the historical results of the imaged structure and pattern thereon (as well as codes), and preferably stores each imaged measurement of the pattern, so that the database contains historical results that measure slight changes for structural health monitoring. The stored imaging is coupled with analytics, and preferably software containing instructions for comparing the images is provided. A computer may be used to store the images, as well as process the images to compare historical results of the pattern changes, and identify changes in the structure.
[0102] According to preferred embodiments, the imaged structure is compared with the CAD of the structure for determining the location of the pattern and codes located on the structure. The comparison may be made of the original or prior pattern image which may be an image of the pattern that includes the CAD coordinates, or has been applied to the CAD. The CAD of the structure preferably is generated to include the image dot pattern and codes as part of the CAD, wherein a CAD-correlated related image and file (CAD-CM) are generated. The imaged structure may be monitored for structural health by imaging the structure and pattern thereon and comparing it with the prior CAD (that includes the prior imaged pattern). The creation of the CAD-coordinated related image and file is generated from the UV pattern of dots and codes captured with an imaging device, such as a camera (or cameras), and a UV light source. The CAD-CM is stored and preferably is included within a database to provide historical accounts of the structure being monitored (e.g., such as an aircraft).
[0103] The imaged structure also may be used for comparison in a finite element analysis (FEA), for understanding local 3D displacement and strain requirements and limits. For example, where strain limits or requirements are identified, the comparison of the imaged pattern and changes that may be identified during subsequent health monitoring of the structure and pattern.
[0104] According to some embodiments, the system is configured with instructions for implementing machine learning that learns human analysis of historical results. The machine learning may track the human analysis, such as the human's coordination between images, including for example, when determinations based on the image correlations are inspected by humans. The machine may store the types of data point relationships that the human has determined to represent a condition of interest. The machine then may automatically, without the further human input, on subsequent imaging evaluations analyze and correlate the images (a prior image and a current or subsequent image), for the deviation or pattern change determined to be of interest (based on the prior human activities, but which the machine has learned). Therefore the machine, such as a computer with software containing instructions for carrying out the evaluation of the image data and the ability to change the software to include reporting and detection of comparisons that have been learned, may provide an output or report of the structural health of the object (including pointing to one or more areas of potential deviations or damage indications).
[0105] The system also may obtain and store image patterns and may provide a spatial alignment of an image with one or more historical images. The spatial alignment preferably may be carried out using targets, such as coded targets. For example, coded targets may comprise a QR code or other 2 dimensional code, such as the codes shown and described herein, which may be applied as part of or along with the pattern. The coded targets may be aligned to provide a spatial alignment of historical images. The pattern may be observed in connection with one or more prior patterns. The code may include a QR code, which provides information as to the position of the imaged part, and the code also may provide information about the part itself. For example, a scan of an imaged structure may identify the structure based on the QR code scan. The system then may immediately proceed to call up the information for the structure from a library and/or database for the structure, and identify the particular structure.
[0106] The imaging may take place using one or more robots (such as, for example, as shown and described in connection with
[0107] According to some embodiments, the patterning and coding may be used to align the robot. For example, codes may contain information that identifies a particular location of the structure. The robot may be programmed to search for a particular code, or alternatively, when the robot imaging unit encounters a particular code, the code is recognized, and the robot is aligned to image the structure or portion of the structure. In addition, the codes may be used to designate one or more structural portions of interest, or that may be imaged at different time intervals. In this manner, for example, the robot may carry out imaging by imaging the structure, and image in accordance with a set of instructions that direct the robot to image one or more particular portions of the structure. For example, if the robot is to image the vertical stabilizer of an aircraft, the robot may image and scan the aircraft until it identifies a QR code that indicates that it is in the location of the vertical stabilizer. The robot may image one or more other QR codes, as directed, if needed, to identify the location of the aircraft (the stabilizer location) to be imaged.
[0108] According to some embodiments, the system, method and devices may include a Sample Coded Marker, each with specific numerical and circular bar code. Some examples of markers are shown in
[0109] Referring to
[0110] Referring to
[0111] According to some embodiments, the CAD-CRI preferably may be stored and generated to include the CAD coordinates for the structure, and may include baseline and historical CAD coordinates for the structure. The database preferably may include the historical CAD information, as well as include the information for conducting structural health monitoring of the structure or object and the record of changes over time (which may be changes or occurrences of conditions, such as strain or deformations, or movements of the object or portions thereof). The dot patterns and codes may be stored in the database, as part of the CAD-CM image and file. The dot pattern and codes also may be stored and maintained so that images may be generated to graphically represent the changes to an operator. According to some implementations, the CAD and CRI may be spatially synchronized, for example, through a QR code.
[0112] The database also identifies corresponding part information, part. number, serial number, model number, dates, which may be associated in the database with one or more of the codes that are printed on the substrate. Therefore, when the image of the substrate is captured with a UV imaging source (e.g., camera with a UV image sensor and UV light source), the UV applied codes are also captured and the system, which preferably includes a computer with a hardware processor, memory, and storage means, identifies the code and uses the code to identify the substrate (structure or part) based on the information within the database. The imaging of the structure also may be stored, so that each image of the structure, and its pattern and codes are stored for each time, and may provide a structural health history for the part being evaluated. In the case where the substrate is undergoing an initial pattern imaging, the substrate is returned to or placed into service, once the imaging information has been obtained. In the case, however, where a prior imaging capture of the pattern and codes has taken place, a structural health analysis may be conducted. The present image is stored, preferably as a CAD-coordinated related image (CAD-CRI). A prior image of the substrate (e.g., the part being evaluated) is located within the database. This may be accomplished using the UV code detected for the part being imaged for analysis, and matching that code to a reference in the database. The system, preferably using a computer (e.g., server), identifies the code and uses the code to match the code to a corresponding part. The part therefore has associated with it the structural health history, which preferably includes prior image scans. DIC is performed for the image obtained, based on a baseline image (which may be one or more previously obtained images preferably stored in the database). According to preferred embodiments, the images are stored in a CAD coordinated related form. The DIC may be carried out with the CAD images showing the changes as well as identifications between coordinates that show threshold structural strain, deformation, or other parameter being evaluated. The method also may include determining, from the DIC, whether a parameter is within an acceptable tolerance or whether it is out of range. For example, as depicted, where the tolerance is met, the substrate, such as a structure (panel, assembly, aircraft, or vehicle) may be returned to service (or installed back onto the assembly from which it was detached). In the case of a failure to meet tolerances, further analysis and testing is conducted, and possible repairs are indicated or performed. The system and method also may be used during an assembly to determine whether the structure meets the threshold parameters or tolerances to the placed into service or used, and may be continued to be monitored through subsequent imaging of the patterns and codes.
[0113] CAD-CM can be spatial synchronized with the FEA (Finite Element Model) which models the operational stresses (forces) and strains (material response). With the FEA data, defects detected can be defined by their effectivity to the operational structure. Typically, defects found will drive repair if a certain size, independent of the loading of that structure, based on material criteria and worst loads. But with local FEA analysis, a defect can be defined as immediately repairable if in a high stress area, or programmed for future maintenance if not in a high stress area. This allows for advanced programmed maintenance, focused preventative maintenance and life extension.
[0114] Embodiments of the invention may implement structural health monitoring using digital image correlation with the implementation of an inspection drone. An inspection drone may be powered by a suitable power source and equipped with imaging apparatus to image, record, store and/or transmit information obtained from an image of a structure, such as an airport runway, bridge, roadway or other structure. According to implementations, the inspection drone may be used to carry out structures that are supported on the earth's surface (bridge or building), the ocean or water body floor (e.g., oil rig), or on a water surface. The inspection drone also may be carried out in conjunction with one or more of the structural health monitoring embodiments disclosed herein. In addition, patterning the structure, with UV paint, a pattern of a design, or other pattern, may be applied using a suitable patterning method. According to some embodiments, a pre-patterned film may be applied to the structure, and the structure patterning may be monitored over time to determine whether changes have taken place.
[0115] Embodiments of the method and system also may be implemented with an inspection drone, such as the inspection drone 910 represented in the schematic illustration shown in
[0116] In addition to, or as part of the pattern, the spacecraft surface preferably include one or more markers for aligning the spacecraft 1010 with previous inspection results. For example, the spacecraft 1010 may be provided with photogrammetry dots or other locators (e.g., QR codes, or other coded markers) on its surface 1011 for locating the camera carried by the inspection drone 910, in space. The photogrammetry codes or patterns also provide points for measurement of 3D coordinates. The inspection drone 910 preferably includes a camera system 920, represented schematically in
[0117] The inspection drone 910 may utilize the methods shown and described herein in connection with inspection of other objects to conduct and provide optical structural health monitoring of objects in space, such as for example spacecrafts. Inspection drones according to the invention, such as the inspection drone 910 schematically represented in
[0118]
[0119] Referring to
[0120] Embodiments of the invention include applying a pattern to a surface, such as the aircraft surface (see
[0121] In
[0122] Application of the design onto a surface may be applied using any suitable method. Preferred examples include using a screen (see
[0123] An example of an aircraft panel 2010 is shown in
[0124] Referring to
[0125] Referring to
[0126] According to some embodiments, as discussed herein, the implementation of the CAD coordinates may be used to determine the location that corresponds with the location on the aircraft. An alignment of the patterned image to the structural coordinates may be carried out, and may be implemented with the RVAT system, as referenced herein. For example, alignment and imaging may be implemented utilizing coded markers that provide an alignment point (with one or more other coded markers, or other point or location on a structure). The patterning implemented with the pointillism may be used to provide an initial baseline, and may be used subsequently to monitor strain by imaging the surface to ascertain the positioning of the pattern, such as the random dots, shapes or points.
[0127] According to some preferred embodiments, the pattern may be applied with a suitable application mechanism. A robot head that follows the surface (either while the surface itself is stationary or is moving) and applies a coating, such as paint, to the surface in the form of the patterned dots, shapes or points, may be used to paint a surface. The robot head may include jets or nozzles that dispense by atomizing or streaming with air, pressure or gas, paint to produce the desired dot in the desired color on the surface. The pattern preferably may be applied with a single pass using multiple nozzles to deliver one or more colors and/or shapes of the pattern, or according to alternate embodiments, may make more than one pass, such as making a plurality of passes, to deliver colors separately, or in groups of colors. A computer may be programmed with the desired indicia to be applied to the structure surface, such as the aircraft panel (in
[0128] In addition, the combination of the filter utilization with paint augmentation may be implemented. For example, a slight orange color tint may be added to a paint in order to enhance the appearance of a blue colored element, due to orange being the opposite of the blue, or a color that the blue shadow would encompass. Therefore, in some instances, where the color design applied is made of smaller elements a filter may be used in the imaging process to enhance the contrast of the elements, while according to other implementations, a slight tint may be provided in the paint of the elements forming the design or a part thereof, or the background elements (forming the field or background). According to preferred embodiments, both a tint in the paint and a filter may be used. For example, in some applications, in order to get a white appearing background, slight tints of white that contain opposite colors, such as blue and orange may be used. Filters may be used to enhance a color or contrast. One example is that with an orange filter, the contrast difference is increased, making the white blue (white with blue tint) darker, and the white orange (white with orange tint) brighter, so that the imaging system (such as the ARAMIS imaging system) may therefore undertake structural health monitoring so that DIC may be applied in accordance with the methods herein to measure the degree of strain or changes in a structure, while the applied paint (including any tinted whites), from a distance looks white to persons viewing it. According to implementations, where, for example, printing applications such as paintjet or inkjet and/or robotic applications are used to apply or print the indicia onto a surface, designs or logos may be added as part of or to comprise the indicia. Examples of the designs may comprise logos or customized paint designs, which may be formed utilizing dots or applied with other dots comprising the logo or background. The applied indicia may be like Seurat making any logo or picture. In addition, unique coding, such as QR codes, may be included as part of the paint or ink application to provide locational information with the same slight variations and filtering, and including alignment referencing as discussed herein.
[0129] According to an alternate implementation, the patterning designs that are used to carry our structural health monitoring according to the invention and embodiments depicted, may be done using a painted sheet application. As pointed out, the implementation of optical structural health monitoring (SHM) involves a pattern on the material surface that is used to monitor changes in shape, displacement and strain during manufacturing and in service. According to an alternate implementation, a method of pre-painting a composite surface is carried out to apply a pattern onto the surface using a painted urethane sheet as a layer of the composite build. According to preferred implementations, the painted urethane sheet layer comprises the first layer of a composite build, and may, for example, be placed against a tool used to apply it, with, typically, carbon-epoxy thermoset sheet layers on top create the composite part. The part with the layer arrangement is further processed, for example, preferably by curing. In a preferred implementation, the part is then cured, and the resultant part comes out of the tool painted. A typical brand of the urethane sheet material is called Surface Master by Solvay Composites. The urethane bonds into the composite surface leaving the paint well adhered. One commercially available urethane that may be used is a urethane sheet material sold under the brand Surface Master by Solvay Composites. According to some embodiments, the pre-patterned layer may comprise a film, such as an epoxy film, with preferred film being a urethane layer comprising a film which has the pattern pre-printed on the film. The pattern may be pre-patterned on a urethane layer, and, according to some embodiments, the pre-patterned urethane layer may be the first or last layer of a composite layup, such as graphite epoxy or fiberglass.
[0130] The present method, system and devices for optical structural health monitoring, according to some implementations, may utilize the patterning method to apply the pattern. According to some embodiments, a patterning method may be used to pre-pattern the urethane sheeting so that the cured composite part has a perfect pattern on every part. A suitable patterning indicia may be applied for use on the urethane sheet that is to be pre-patterned. For example, the indicia may involve any suitable pattern shown and described herein, including the pointillism patterns (of dots, shapes and/or points). Patterning may be standard DIC black-on-white, complex multi-color Seurat patterning or UV patterning. In addition, generic 2D-Barcodes (such as Trilion codes) or coded markers may also be spread throughout the patterning for local positioning and part recognition.
[0131] According to preferred embodiments, pre-patterning of indicia may be applied to a sheet, such as the urethane or composite sheet that is used to form a surface of the structure. The surface may be an inner surface or outer surface of the part being formed or constructed, or in some cases both. In this manner, the structural health monitoring may be measured using one or more surfaces of the part. For example, an aircraft part may be formed with a first surface and a second surface, where a urethane pre-patterned composite layer is provided to comprise an exterior or first surface and a urethane pre-patterned composite layer also is provided to comprise the interior or second surface. According to some embodiments, outer layers may be imaged from an exterior, and according to some embodiments, the interior surfaces or other structural surfaces may be imaged using x-ray (CT). For example, a metallic paint or additive (or other component that may be imaged using x-ray imaging may be used in the paint or ink patterning a surface. In particular an interior surface, or a hidden or obstructed surface, may be patterned with the x-ray image capable pattern. The pattern may comprise any of the patterns shown and described herein, including the codes, dots and/or indicia. DIC may be conducted from the x-ray imaging of these patterns.
[0132] According to some embodiments, a pre-patterned sheet or film is provided with indicia comprising a random pattern or dots or other elements for carrying out SHM. The pre-patterned sheet may be applied to an already existing structure to enable SHM measurements to be taken. Embodiments of the method may include applying the pre-patterned sheet to the structure, and articles may include a pre-patterned sheet that may be applied to a structure. Some examples of structures include bridges, roadways, runways and buildings.
[0133] Generic 2D-barcodes, such as generic Trilion 2D-Barcodes, comprise a preferred method, as these codes may have a globally unique identification number, which can later be linked to the specific part and location, including according to preferred embodiments, in the Digital-Twin database, typically during initial scanning of the cured part to obtain it true dimensions (measured mesh relative to CAD design), baseline the pattern and capture the generic barcodes, and assigning all of this data to the part serial number in the Digital-Twin database. (The Digital-Twin is referenced in my co-pending U.S. patent application Ser. No. 62/612,181, filed on Dec. 29, 2017, and my co-pending U.S. patent application Ser. No. 16/236,072, filed on Dec. 28, 2018.)
[0134] The structural health monitoring carried out using a pre-patterning method provides advantages. One advantage is that the pre-patterning of the composite samples allows the SHM to begin just after curing, just when the part has become a new part (i.e., a newly constructed part). This allows for the part to be able to be monitored throughout the manufacturing process for changes in 3D shape, distortions, strains and fracture, from a number of conditions or events. For example, during a manufacturing process, a part may be subjected to handling damage (as parts may be mishandled, e.g., accidentally dropped from significant height, e.g., 10, picked up and then installed on the aircraft). A mishandled part may look fine to a visual inspection, and the part may be applied or used to form the structure. With the pre-patterning of the part according to embodiments herein, structural health monitoring of the mishandled part may be used to identify whether any damage has occurred and if so, the nature and extent of the damages (is it within suitable tolerances for continued use of the part, or must the part be repaired, or scrapped). As with the embodiments described herein, determining the suitability of a part during a manufacturing operation, may avoid wasting material and assembly line or personnel time, where a part if completed would be ultimately unsuitable for use (or in worse cases, may be defective and utilized only to fail). The present method also enables determinations of structural health monitoring to monitor installation distortions and strains during a construction procedure (as many times parts are forced into position to meet positional requirements, but deform or damage the part). The pre-patterning also serves for structural testing of critical components (post-test damage assessment, dynamically during testing, vibration studies). The methods, systems and devices, including the utilization of the pre-patterning allow for documenting of a final manufactured base-line for lifelong SHM in service; first flight checkout; regular service checks; and life extension validation (where pre-determined norms may be exceeded, or diminished, as a result of the monitoring and deviations from the original structure, and/or subsequent monitoring points in time).
[0135] The coatings applied to produce the pattern may comprise a paint, ink or dye, or other suitable coating that may be applied to the structure or composite that is used to construct a part or structure, such as where a urethane panel is used.
[0136] Although implementations have been shown and described in connection with invisible coatings, such as, for example, UV coatings (paints and ink), according to other embodiments, the system, method and devices may be implemented to carry out structural health monitoring, with visible coatings applied to the substrate (with the features shown and described in connection with the UV coated embodiments). These implementations may be used where the object being patterned and monitored is not in public use, or other situations where the pattern and/or code visibility does not need to be hidden.