Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.756460
Title: Intelligent 3D seam tracking and adaptable weld process control for robotic TIG welding
Author: Manorathna, Prasad
ISNI:       0000 0004 7429 3344
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2015
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Abstract:
Tungsten Inert Gas (TIG) welding is extensively used in aerospace applications, due to its unique ability to produce higher quality welds compared to other shielded arc welding types. However, most TIG welding is performed manually and has not achieved the levels of automation that other welding techniques have. This is mostly attributed to the lack of process knowledge and adaptability to complexities, such as mismatches due to part fit-up. Recent advances in automation have enabled the use of industrial robots for complex tasks that require intelligent decision making, predominantly through sensors. Applications such as TIG welding of aerospace components require tight tolerances and need intelligent decision making capability to accommodate any unexpected variation and to carry out welding of complex geometries. Such decision making procedures must be based on the feedback about the weld profile geometry. In this thesis, a real-time position based closed loop system was developed with a six axis industrial robot (KUKA KR 16) and a laser triangulation based sensor (Micro-Epsilon Scan control 2900-25).
Supervisor: Not available Sponsor: EPSRC ; Rolls-Royce plc
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.756460  DOI: Not available
Keywords: Robotic welding ; Automation ; TIG welding ; Feature extraction ; Seam tracking ; 3D machine vision ; Adaptive process control ; Aerospace ; Laser scanner ; Human skill capturing ; System integration ; Robot control
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