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Automatic Inspection of Composite Parts ID 015 ● Enabling Technologies
Sept 7-9, 2016
Scott Blake
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Automatic Inspection of Composite Parts • Scott Blake 2
Topics
• Composite Manufacturing Goals
• Critical Manufacturing Characteristics
• Automatic Inspection with a Laser Projector and Camera
• Manufacturing Defects
• Automatic Composite Inspection in Aerospace
• Automatic Inspection in Automated Layup – Fiber Orientation and Material Shear
– Wrinkles
– Bridging and Secondary Bridging
– Material Location
– FOD
• Automatic Inspection Systems: Nodes in Deep Learning Networks
• Features, Benefits and Conclusions
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Automatic Inspection of Composite Parts • Scott Blake 3
Composite Manufacturing Goals
• Build what was designed
• Build in the shortest time
• Build at the lowest cost
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Critical Manufacturing Characteristics
• Material location
• Fiber orientation
• Interlaminar curing
• Cosmetics
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Automatic Inspection with Laser Projector and Camera
• Projector and camera are indexed into coordinate system of part
• Laser projects reference patterns for camera
• Laser pinpoints areas of concern (Examples to follow)
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Manufacturing Defects
• Incorrect Shear
• Incorrect Fiber Orientation
• Wrinkles
• Bridging
• Material Location
• FOD
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Automatic Composite Inspection in Aerospace
• Boeing 777X Wingskin and Spar: 110’ part
• Automatic Inspection and Documentation
• Near Real Time
• Material Location Verification
0.5” wide strips of material captured from 15’
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Auto Inspection in Auto Layup: Shear
Sheared material in press
Curvature of fiber path shown as white curve. Label is max CCW/CW
Automatic discovery of fiber paths
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Auto Inspection in Auto Layup: Wrinkles
• Green indications are where projected references would be found with no wrinkles
• Red indications are projected references displaced by surface distortion
1.6mm wide 0.25mm thick bump in 10cm square field
Automatic detection of 0.8 mm wrinkle in Robotic Layup System
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Auto Inspection in Auto Layup: Bridging
• Green represent expected location of projected references without bridging
• Red is where projected references were found
• Difference between red and green is proportional to bridge displacement
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Auto Inspection in Auto Layup: Material Location
• High resolution, high magnification images are automatically captured with photogrammetric transforms
• Transforms enable the calculation of tolerance bands in the image
• Automatic inspection of material location is achieved
• Out of tolerance locations are pinpointed by the laser projector
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Auto Inspection in Auto Layup: FOD and Pinpointing
• Foreign Objects and Debris (FOD)can contaminate parts and compromise performance
• When a problem is detected, the projector identifies the location
• Problems are resolved in the shortest time and at the lowest cost
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Automatic Inspection Systems: Nodes in Deep Learning Networks
• Laser projectors with vision systems have value beyond sensing defects on individual parts during production
• Detailed documentation is available for each defect as it occurs
• Analysis of the conditions resulting in the creation of the defect yields process changes
• Process changes are implemented across all systems on the network
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Features, Benefits and Conclusions
• Integrated laser projection and camera systems can provide real time inspection to monitor processes for: – Shear
– Fiber orientation
– Wrinkles
– Bridging and secondary bridging
– Material location
– FOD
• The detailed observation of defect formation will enable process improvement across all similar automatic manufacturing and inspection systems
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Thank You!
Questions?