Analysis Techniques for Volumetric Computed Tomography Inspection of Turbine Airfoils
|Event Date:||December 4, 2017|
|Speaker:||Patrick Howard, Joe Portaz, and Peter Wassenaar|
|Speaker Affiliation:||GE Aviation, Cincinnati, OH|
|Type:||Purdue Integrated Imaging Seminar Series
|Contact Name:||Professor Charles Bouman
|School or Program:||Electrical and Computer Engineering
Abstract: Radiography has been a critical inspection method for turbine airfoils. Over the years, the inspection has migrated from film, to digital detector arrays and linear computed tomography. Recent advances in the speed and quality of volumetric computed tomography (VCT) systems make that an option for the routine inspection of turbine airfoils. The acquisition of the data, however, is only the first half of the equation. The VCT inspection of turbine airfoils produce a data set that can be as large as 1 gigabyte. Inspectors need the ability to evaluate large volumetric data sets against inspection requirements in an efficient and repeatable manner. We will present an approach to perform volumetric inspection data evaluation for turbine airfoils that is compatible with routine use and software tools that implement that approach.
Biographies: Patrick Howard holds a Bachelor of Science degree in Electrical Engineering from Michigan Technological University and a Master of Science degree in Electrical Engineering from the University of Minnesota. Since graduation, he has worked for the General Electric Company at both the GE Global Research Center in New York and GE Aviation Quality Technology Center in Cincinnati, Ohio focusing on assisted defect recognition for nondestructive inspection methods. Currently, he is a Consulting Engineer for Nondestructive Testing focusing on the development of automated digital inspection data acquisition and analysis solutions for advanced manufacturing process.
Peter Wassenaar is a staff engineer within the Quality Technology Center of GE Aviation. He joined GE in 2014 as an image processing engineer, and has worked on NDT-related data reconstruction, visualization, and automation. His focus has been on development of 3D ADR (Assisted Defect Recognition) for turbine airfoils, but reaches into GE’s Additive and Digital activities. Prior to joining GE, he was a medical imaging research engineer and lab manager in the Department of Radiology at The Ohio State University. His focus was on developing novel imaging techniques for primarily neurological and cardiac applications. Peter holds a degree in electrical engineering from the University of Twente, in The Netherlands, as well BSECE and MS degrees from The Ohio State University.