Papers
16
Total Citations
427
H-Index
12
About
David Lines is a leading researcher at the forefront of intelligent manufacturing, specializing in the integration of robotics, non-destructive evaluation (NDE), and additive manufacturing. His work centers on developing sensor-enabled, multi-robot systems that perform automated welding and real-time, in-process inspection—a critical capability for Industry 4.0. Lines’ major contributions include pioneering methods for ultrasonic phased array and eddy current inspection of complex geometries, such as Wire + Arc Additive Manufactured (WAAM) components, and demonstrating the first automated systems that detect and monitor defects—like intentionally embedded cracks—during the welding process itself. His research on in-process calibration and the effect of residual stress on hydrogen cracking has set new standards for quality assurance in multi-pass welding. With over 370 citations across his top ten papers, his impact is clear, particularly for his 2019 foundational work on ultrasonic inspection of WAAM samples (78 citations). Notably, his recent exploration of machine learning for defect detection in carbon fibre composites and his work on continuous, in-process monitoring of nuclear assets highlight his drive to make manufacturing both faster and safer.
Research Focus
Key Achievements
Top Papers
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- 6Automated Real-Time Eddy Current Array Inspection of Nuclear Assets31 citations · 2022
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