New approach for fast residual strain estimation through rational 2D diffraction pattern processing

Eugene S. Statnik, Fatih Uzun, Alexei I. Salimon, Alexander M. Korsunsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Highly brilliant synchrotron X-ray beams enable fast non-destructive evaluation of residual strains even in large and thick engineering objects under operando conditions. Large datasets of 2D patterns are acquired at high rate, meaning that near real time evaluation demands fast data processing and mapping of residual strain. The somewhat time-consuming traditional data processing algorithms involve the conversion of each 2D X-ray diffraction pattern within a substantial stack to 1D intensity plots by radial-azimuth sectoral binning (“caking”), followed by peak fitting to determine peak center positions. A new approach was realized and programmed as the open-source code to perform residual strain evaluation by direct ‘polar transformation’ of 2D X-ray diffraction patterns. We compare residual strain calculations by ‘polar transformation’ and ‘caking’ respectively for an Aluminum alloy bar containing a Friction Stir Weld and subjected to ex-situ three-point bending. ‘Polar transformation’ method shows good agreement with the traditional ‘caking’ technique, but also exhibits excellent speed, and robustness.

Original languageEnglish
Title of host publicationAnalysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Revised Selected Papers
EditorsWil M.P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Valentina Kuskova, Sergei O. Kuznetsov, Irina A. Lomazova, Michael Khachay, Andrey Kutuzov, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
PublisherSpringer
Pages282-288
Number of pages7
ISBN (Print)9783030395742
DOIs
Publication statusPublished - 2020
Event8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019 - Kazan, Russian Federation
Duration: 17 Jul 201919 Jul 2019

Publication series

NameCommunications in Computer and Information Science
Volume1086CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019
Country/TerritoryRussian Federation
CityKazan
Period17/07/1919/07/19

Keywords

  • Residual stress/strain
  • Synchrotron X-ray diffraction
  • ‘Caking’
  • ‘Polar transformation’

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