Accession Number : ADA258912


Title :   Integrated Blade Inspection System (IBIS) Upgrade Study


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING


Personal Author(s) : DeLiberato, Tony J ; Perkins, Steven W ; Saplin, Steven K ; Snyder, John G ; Toussaint, Gregory J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a258912.pdf


Report Date : Dec 1992


Pagination or Media Count : 294


Abstract : The purpose of this design study was to identify ways to improve the Integrated Blade Inspection System. The Air Force requires inspection of jet engine compressor and turbine blades to locate defects and prevent engine failure. The current inspection process uses fluorescent penetrant as an aid to identify cracked blades. A systems engineering design process was applied to evaluate the current inspection techniques and to develop alternative methods to satisfy the Air Force requirements. Three different inspection systems were developed and compared to the current process: manual, semi-automated, and fully automated inspection. This study made several noteworthy contributions: development of classification software to validate the neural network approach for accurate blade classification, demonstration of potential advantages of charge-coupled device cameras for data gathering, quantification of the cost of incorrectly classifying jet engine blades, examination of the value of a statistical quality control plan for the inspection process, and identification of a method using multiple images to extract additional features from cracks. The study demonstrates that the fully automated system could dramatically outperform the manual inspection process by improving the consistency of the inspection process and raising the quality of the blades returned to service.


Descriptors :   *TURBINE BLADES , *COMPRESSOR BLADES , SOFTWARE ENGINEERING , INTEGRATED SYSTEMS , NEURAL NETS , SYSTEMS ENGINEERING , SYSTEMS ANALYSIS , STATISTICAL ANALYSIS , INSPECTION , NONDESTRUCTIVE TESTING , THESES , JET ENGINES


Subject Categories : Aircraft


Distribution Statement : APPROVED FOR PUBLIC RELEASE