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Title: Processing ultrasonic inspection data from multiple scan patterns for turbine rotor weld build-up evaluations

Abstract

The study presents a data processing methodology for weld build-up using multiple scan patterns. To achieve an overall high probability of detection for flaws with different orientations, an inspection procedure with three different scan patterns is proposed. The three scan patterns are radial-tangential longitude wave pattern, axial-radial longitude wave pattern, and tangential shear wave pattern. Scientific fusion of the inspection data is implemented using volume reconstruction techniques. The idea is to perform spatial domain forward data mapping for all sampling points. A conservative scheme is employed to handle the case that multiple sampling points are mapped to one grid location. The scheme assigns the maximum value for the grid location to retain the largest equivalent reflector size for the location. The methodology is demonstrated and validated using a realistic ring of weld build-up. Tungsten balls and bars are embedded to the weld build-up during manufacturing process to represent natural flaws. Flat bottomed holes and side drilled holes are installed as artificial flaws. Automatic flaw identification and extraction are demonstrated. Results indicate the inspection procedure with multiple scan patterns can identify all the artificial and natural flaws.

Authors:
;  [1]; ;  [2]
  1. Siemens Corporation, Corporate Technology, 755 College Rd. E., Princeton, NJ 08540 (United States)
  2. Siemens Energy Inc., 841 Old Frankstown Road, Pittsburgh, PA 15239 (United States)
Publication Date:
OSTI Identifier:
22391198
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1650; Journal Issue: 1; Conference: 41. Annual Review of Progress in Quantitative Nondestructive Evaluation, Boise, ID (United States), 20-25 Jul 2014; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; BOREHOLES; DATA PROCESSING; DEFECTS; DETECTION; EVALUATION; INSPECTION; MATERIALS TESTING; SHEAR; TUNGSTEN; TURBINES; ULTRASONIC WAVES; WELDED JOINTS

Citation Formats

Guan, Xuefei, Zhou, S. Kevin, Rasselkorde, El Mahjoub, and Abbasi, Waheed. Processing ultrasonic inspection data from multiple scan patterns for turbine rotor weld build-up evaluations. United States: N. p., 2015. Web. doi:10.1063/1.4914710.
Guan, Xuefei, Zhou, S. Kevin, Rasselkorde, El Mahjoub, & Abbasi, Waheed. Processing ultrasonic inspection data from multiple scan patterns for turbine rotor weld build-up evaluations. United States. doi:10.1063/1.4914710.
Guan, Xuefei, Zhou, S. Kevin, Rasselkorde, El Mahjoub, and Abbasi, Waheed. Tue . "Processing ultrasonic inspection data from multiple scan patterns for turbine rotor weld build-up evaluations". United States. doi:10.1063/1.4914710.
@article{osti_22391198,
title = {Processing ultrasonic inspection data from multiple scan patterns for turbine rotor weld build-up evaluations},
author = {Guan, Xuefei and Zhou, S. Kevin and Rasselkorde, El Mahjoub and Abbasi, Waheed},
abstractNote = {The study presents a data processing methodology for weld build-up using multiple scan patterns. To achieve an overall high probability of detection for flaws with different orientations, an inspection procedure with three different scan patterns is proposed. The three scan patterns are radial-tangential longitude wave pattern, axial-radial longitude wave pattern, and tangential shear wave pattern. Scientific fusion of the inspection data is implemented using volume reconstruction techniques. The idea is to perform spatial domain forward data mapping for all sampling points. A conservative scheme is employed to handle the case that multiple sampling points are mapped to one grid location. The scheme assigns the maximum value for the grid location to retain the largest equivalent reflector size for the location. The methodology is demonstrated and validated using a realistic ring of weld build-up. Tungsten balls and bars are embedded to the weld build-up during manufacturing process to represent natural flaws. Flat bottomed holes and side drilled holes are installed as artificial flaws. Automatic flaw identification and extraction are demonstrated. Results indicate the inspection procedure with multiple scan patterns can identify all the artificial and natural flaws.},
doi = {10.1063/1.4914710},
journal = {AIP Conference Proceedings},
number = 1,
volume = 1650,
place = {United States},
year = {Tue Mar 31 00:00:00 EDT 2015},
month = {Tue Mar 31 00:00:00 EDT 2015}
}