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Abstract
Experimental design techniques were applied to the task of characterizing the inspection capability of the machine vision component of an automated laser hole-drilling and inspection system for gas turbine engine manufacturing. The system uses a laser to drill very small cooling holes in gas turbine engine combustor rings and a machine vision component to inspect the holes. The machine is designed with a closed loop algorithm to adaptively control the laser drilling operation based on the inspection results. An experiment with blocking factors provided a disciplined framework for data collection to characterize the capability of the vision system component during the development phase. This experiment provided a better understanding of the system's capabilities and the user's design requirements, which has yielded system improvements.
Additional information
Notes on contributors
Norma Faris Hubele
Dr. Hubele is an Associate Professor of Industrial and Management Systems Engineering.
Terrence Beaumariage
Dr. Beaumariage is an Assistant Professor of Industrial and Manufacturing Engineering.
Gurshaman Baweja
Mr. Baweja is a Graduate Assistant in the Department of Industrial and Management Systems Engineering.
Suck-Chul Hong
Mr. Hong is a Manager of Production Planning.
Rey Chu
Mr. Chu is a Manufacturing Sciences Engineer.
