When available, the force feedback data from Friction stir welding (FSW) can be very
useful for analyzing weld quality. Friction Stir Welding Analysis Tool software (FSWAT), a
new process based non-destructive evaluation (NDE) technique developed at the South Dakota
School of Mines and Technology, is designed to analyze any specified section of FSW in real
time (with a slight computational delay). With this software, a trained operator or inspector can
detect where potential flaws may exist.
Another powerful NDE technique is ultrasonic phased array (UPA), which is well known
for its capability to detect different kinds of friction stir welding indications and defects. The
purpose of this study is to compare the defects identified in a round robin investigation using
UPA and electromagnetic radiation X-ray inspection with the defects identified by the FSWAT
software data analysis program. In addition, actual destructive tests are used to correlate the
identified defects with actual defects. A probability of detection (POD) analysis is carried out to
evaluate the wormhole-detection performance of the different NDE methods applied currently in
industry. By correlating this software with UPA and X-ray inspection, the time and expense
associated with 100% inspection of parts could be considerably reduced. The ultimate goal of
this research is to support the development of real-time quality control to minimize the cost of
inspection. / Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering.
| Identifer | oai:union.ndltd.org:WICHITA/oai:soar.wichita.edu:10057/3295 |
| Date | 05 1900 |
| Creators | Britos, Pedro J. Gimenez |
| Contributors | Weheba, Gamal |
| Publisher | Wichita State University |
| Source Sets | Wichita State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | xiii, 106 p., 15544693 bytes, 1843 bytes, application/pdf, text/plain |
| Rights | Copyright Pedro J. Gimenez Britos, 2010. All rights reserved |
Page generated in 0.0017 seconds