DocumentCode
438843
Title
Intelligent system for turbine blade overhaul using robust profile re-construction algorithm
Author
Ng, Bryan Tsong-Jye ; Lin, Wen-Jong ; Chen, Xiaoqu ; Gong, Zhiming ; Zhang, JingBing
Author_Institution
Singapore Inst. of Manuf. Technol., Nanyang, Singapore
Volume
1
fYear
2004
fDate
6-9 Dec. 2004
Firstpage
178
Abstract
Repairing and servicing of aerospace components usually involve tedious work processes and are highly labor-intensive, one typical example is the overhauling of turbine blade. The overhauling process involves reconstruction of the blade tip through cutting off the worn tip and rebuilding it through the welding and finally polishing the welded material to its original shape. Traditionally the polishing process is carried out manually; this is largely due to the difficulty in re-establishing the "used" blade profile which suffered minor distortion through usage. This project introduced and developed a profile reconstruction algorithm namely the robust profile re-construction (RPR) algorithm. The algorithm adopted the neutral line concept and the interpretation vector method by finding the relationship between the original profile of the unused blade and the used blade under each section layers in two-dimensional plan. Experimental result shows that the system and algorithm can provide the required accuracy for the aerospace overhaul industry. Consequently, the algorithm and process could provide the turnkey solution for the blade overhauling industry and forward to fully automation opportunity.
Keywords
aerospace industry; aerospace materials; blades; welding; aerospace components; aerospace overhaul industry; intelligent system; interpretation vector method; polishing process; robust profile reconstruction algorithm; turbine blade overhauling process; Aerospace components; Aerospace industry; Aerospace materials; Blades; Intelligent systems; Reconstruction algorithms; Robustness; Shape; Turbines; Welding;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN
0-7803-8653-1
Type
conf
DOI
10.1109/ICARCV.2004.1468819
Filename
1468819
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