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TRANSCRIPT
![Page 1: New Sensing Technology for Robotic Joining · PDF fileNew Sensing Technology for Robotic Joining Automation Jeffrey Noruk President Servo Robot Corp Milwaukee, WI NRAWC Milwaukee,](https://reader034.vdocuments.mx/reader034/viewer/2022051722/5a9e94bc7f8b9a0d158b8aec/html5/thumbnails/1.jpg)
New Sensing
Technology for
Robotic Joining
Automation
Jeffrey Noruk
President
Servo Robot Corp
Milwaukee, WI
NRAWC
Milwaukee, WI
June 3, 2015
10/06/2015
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TABLE OF CONTENTS
• Introduction
• Functions of Laser Sensing Systems
(seam location, seam tracking, adaptive control, inspection)
• Seam Finding and Adaptive Fit-up Compensation
• Seam Tracking and Adaptive Control
• Weld Inspection
• Examples of applications
- Arc Welding
- Laser Welding
• Conclusions/Q&A
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SMART Sensors for SMART
Robots is the Goal
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Peripheral Equipment
(Tooling positioner)
WorkpieceFactory
environment
ROBOTIC WELDING REQUIRES OPTIMIZATION OF THE INTERACTION
BETWEEN SEVERAL ELEMENTS AND PROCESSES
WeldingProcess
Technology
ROBOT
(Torch
Movement)
Vision Sensing Devices
System Control
Intelligence (MAESTRO)
OPERATING
ZONE
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FUNCTIONS OF LASER SENSING
SYSTEMS(seam location, joint tracking, adaptive control,
inspection)
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Sensing systems designed specifically for
arc and laser welding automation:
Part and
joint
locating
Real-time
adaptive joint
tracking
Robotic
inspection of
welding joints
Real-time control
of welding
conditions
Weld bead
inspection and
process
development
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SNAP SHOT
SEAM FINDING / SEAM TRACKING / ADAPTIVE
CONTROL
SEAM FINDING
(OFFLINE)
SEAM TRACKING
(REAL-TIME)ADAPTIVE CONTROL
(OFFLINE or REAL-TIME)
CONTINUOUS MEASUREMENT OF JOINT
PROFILES
0 < GAP < 10 mm
=> PERFECT WELD!PERFECTLY SEALED WELD ALL
AROUND THE TANK!
UNIVERSAL ROBOT SENSORVIDEO
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• SEAM FINDING
– There are many short welds on a part
– The weld seams have tight radiuses
– The joint is difficult to access
– The process involves motions in all directions without any TCP rotation
(ex.: gluing)
• SEAM TRACKING
– Joint geometry is inconsistent along the welding path
– Joint geometry / position change during the execution of the process due to heat input/distortion
– Adjustment of the welding parameters is required along the path
– Taught program is not accurate
SEAM FINDING OR SEAM TRACKING?
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TYPICAL APPLICATIONS IN AUTOMOTIVE INDUSTRY
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SEAM FINDING AND ADAPTIVE
FIT-UP COMPENSATION
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VERY HIGH SPEED WELD SEAM LOCATION
AND ADAPTIVE CONTROL
ARC WELDING LASER HYBRID WELDING
i-CUBE – UNIVERSAL ROBOT SENSORS
SEAM FINDING
ADAPTIVE FIT-UP COMPENSATION
INSPECTION
FEATURE DETECTION
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HYBRID SENSING SYSTEM WITH FULL ONBOARD CONTROL
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ARC SOUND RECORDING / MONITORINGi-CUBE FEATURES
Time (s)
Fre
quency (
Hz)
Process Analysis with Fourier Transform
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SEAM TRACKING AND
ADAPTIVE CONTROL
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LAYOUT OF SERVO-ROBOT
3-D LASER-VISION SYSTEM FOR JOINT TRACKING &
ADAPTIVE WELDING
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Robot with laser-
vision
Intelligent vision
system and
process controller
Data extraction
Torch path
computation
Real-time control of
welding parameters
REAL-TIME 3D WELDING
ROBOT CONTROL
WITH SERVO-ROBOT
LASER VISION
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Without Adaptive Fill With Adaptive Fill
SERVO-ROBOT ADAPTIVE WELDING CONTROL
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ADAPTIVE SEAM TRACKING SYSTEM
COURTESY OF TIESSE S.p.A., Visano (Brescia), Italy
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ADAPTIVE TRUCK FRAME WELDING
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ARC WELD INSPECTION
SYSTEMS
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AUTOMATED WELD INSPECTION
SYSTEM
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3-D LASER VISION AT 2000 Hz FOR WELD BEAD INSPECTION
• Weld bead geometry
• External weld defects
3-D IMAGE OF WELD
BEAD WITH POROSITY
& DEFECTS
Precise and high speed measurement of
weld bead surface geometry
and detection of defects by special laser
vision systems
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ARC-SCAN X NEW WELD DEFECT IDENTIFICATION TECHNIQUE
3D image of weld bead with porosity & defects
3D weld surface mapping with unique
real-time defect identification
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Suspension Weld Inspection
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SPECIAL SENSORS CAN PROVIDE WELD POOL AND JOINT VISION FOR
IN PROCESS MONITORING AND CONTROL
ROBOT VISION IS BETTER
THAN HUMAN VISION!
Robot can use computer vision capability
which is actually better than human vision using
High Definition High Dynamic Range video color
welding camera
21 century laser vision systems are rugged and already
successfully applied in the manufacturing industry – they
are more reliable than human eyes and they last!
Arc sound also provides key
data merged with vision analysis
Watch this video clip of GMAW process!
WELD POOL MONITORING
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• Weld pool view
• Joint view
• Welding wire
HIGH DEFINITION, HIGH DYNAMIC RANGE COLOR
VIDEO CAMERAS
WELD POOL
LOCATION
AND AREAJOINT POSITION
/ ORIENTATION
DIMENSIONS
WIRE
POSITION
AND LENGTH
SPARKTM WELD POOL VIEW
A vision system can provide useful quantitative data
while human vision cannot
View and measure welding zone better than a welder
with intelligent image processing
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LASER WELDING SENSOR
APPLICATIONS
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LASER HYBRID WELDING SYSTEM – HEAD &
SENSORS
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Table 1:Typical TWB requirements
extracted from AWS D8.10M-2003 and ISO standard
Bead width
Convexity/Concavity
Weld slope
Undercut
Burn-through
>0.8mm
<0.15t if t less than 1mm thick
Root concavity
Excess penetration
Criteria
45° ± 5°
< 0.5 t
Not allowed
<0.1t
<0.2mm + 0.15t
Porosity (pinhole) Down to 0.3mm
Typical requirements
Weld shape and geometry
Weld defect: pinhole detection
LASER WELDED BLANK
INSPECTION CRITERIA
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INSPECTION RESULT DISPLAY
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EXAMPLE OF APPLICATION (DOOR) – 1/2
32
BlueLasTM
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EXAMPLE OF APPLICATION (DOOR) – 2/2
This is a 3D surface composition based on the profiles acquired on the door seen on
previous slide (top left region).
• Laser-camera model: Poro-Scan 25/10 Blue
33
BlueLasTM
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Pinhole
detection
Pinhole detection
Geometric
defect detection
Dual sensor laser-camera
POROSCANINSPECTION OF BRAZED JOINT FOR CAR BODY
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Typical brazing inspection
criteria
Mismatch
Concavity
Internal height difference
External height
difference
Min: 0 mm
Max: 0.6 mmMin: 0 mm
Max: 1 mm
Min: 1.5 mm
Max: 5 mmMin: 0 mm
Max: 1.2 mm
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Conclusions
• Sensors can add increased capabilities for
robotic and automatic welding systems
improving weld productivity and quality
• Combining information from multiple sensors
can improve welding productivity and quality
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Q & A & Thanks!
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THANK YOU!