Sensor-Enabled Multi-Robot System for Automated Welding and In-Process Ultrasonic NDE

The growth of the automated welding sector and emerging technological requirements of Industry 4.0 have driven demand and research into intelligent sensor-enabled robotic systems. The higher production rates of automated welding have increased the need for fast, robotically deployed Non-Destructive Evaluation (NDE), replacing current time-consuming manually deployed inspection. This paper presents the development and deployment of a novel multi-robot system for automated welding and in-process NDE. Full external positional control is achieved in real time allowing for on-the-fly motion correction, based on multi-sensory input. The inspection capabilities of the system are demonstrated at three different stages of the manufacturing process: after all welding passes are complete; between individual welding passes; and during live-arc welding deposition. The specific advantages and challenges of each approach are outlined, and the defect detection capability is demonstrated through inspection of artificially induced defects. The developed system offers an early defect detection opportunity compared to current inspection methods, drastically reducing the delay between defect formation and discovery. This approach would enable in-process weld repair, leading to higher production efficiency, reduced rework rates and lower production costs.

[2]  S. Pierce,et al.  High-temperature in-process inspection followed by 96-h robotic inspection of intentionally manufactured hydrogen crack in multi-pass robotic welding , 2021 .

[3]  J. Peto,et al.  International conference on health hazards and biological effects of welding fumes and gases , 1986 .

[4]  Paul D. Wilcox,et al.  Enhanced Defect Detection and Characterisation by Signal Processing of Ultrasonic Array Data , 2006 .

[5]  Charles Norman Macleod,et al.  Machining-Based Coverage Path Planning for Automated Structural Inspection , 2018, IEEE Transactions on Automation Science and Engineering.

[7]  Rahul Summan,et al.  Fast ultrasonic phased array inspection of complex geometries delivered through robotic manipulators and high speed data acquisition instrumentation , 2016, 2016 IEEE International Ultrasonics Symposium (IUS).

[8]  Carmelo Mineo,et al.  A flexible robotic cell for in-process inspection of multi-pass welds , 2019 .

[9]  G. Hayward,et al.  A Noncontact Ultrasonic Platform for Structural Inspection , 2011, IEEE Sensors Journal.

[11]  Carmelo Mineo,et al.  Continuous monitoring of an intentionally-manufactured crack using an automated welding and in-process inspection system , 2020 .

[12]  Carmelo Mineo,et al.  PAUT inspection of complex shaped composite materials through 6 DOFs robotic manipulators , 2015 .

[13]  Rahul Summan,et al.  Off-line scan path planning for robotic NDT , 2018 .

[14]  P. Wilcox,et al.  Post-processing of the full matrix of ultrasonic transmit-receive array data for non-destructive evaluation , 2005 .

[15]  Sheldon Landsberger,et al.  Automating High-Precision X-Ray and Neutron Imaging Applications With Robotics , 2018, IEEE Transactions on Automation Science and Engineering.

[16]  A. Gachagan,et al.  Feed forward control of welding process parameters through on-line ultrasonic thickness measurement , 2021 .

[17]  Carmelo Mineo,et al.  Robotic path planning for non-destructive testing – A custom MATLAB toolbox approach , 2016 .

[18]  Carmelo Mineo,et al.  Intentional weld defect process: From manufacturing by robotic welding machine to inspection using TFM phased array , 2019 .

[19]  Carmelo Mineo,et al.  Enabling robotic adaptive behaviour capabilities for new Industry 4.0 automated quality inspection paradigms , 2020, Insight - Non-Destructive Testing and Condition Monitoring.

[20]  A. Gachagan,et al.  Non-contact in-process ultrasonic screening of thin fusion welded joints , 2021 .

[21]  Paul D. Wilcox,et al.  Ultrasonic arrays for non-destructive evaluation: A review , 2006 .

[22]  A. Addison,et al.  Wire + Arc Additive Manufacturing , 2016 .

[23]  Gordon Dobie,et al.  Quantifying impacts on remote photogrammetric inspection using unmanned aerial vehicles , 2020, Engineering Structures.

[24]  Gordon Dobie,et al.  Implementation and evaluation of an autonomous airborne ultrasound inspection system , 2021, Nondestructive Testing and Evaluation.

[25]  Charles MacLeod,et al.  A Phased Array Ultrasound Roller Probe for Automated in-Process/Interpass Inspection of Multipass Welds , 2020, IEEE Transactions on Industrial Electronics.

[26]  Deployment of Contact-Based Ultrasonic Thickness Measurements Using Over-Actuated UAVs , 2021 .