Automatic fault detection in Friction Stir Welding

P. A. Fleming, K. A. Fleming, D. Lammlein, D. M. Wilkes, T. Bloodworth, G. Cook, A. Strauss, D. DeLapp, T. Prater, T. Lienert, M. Bement

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

3 Scopus citations

Abstract

Friction Stir Welding (FSW) is a relatively new welding technique where metals are joined through mechanical stirring. Due to its numerous advantages over older welding methods, it has been implemented in an increasing number of industries. However, there are remaining challenges to be overcome in FSW. One of the most serious is its reliance on accurate weld parameters. Additionally, faults or poor quality welds can develop from problems not easily detectible by an operator or robotic welder. In our work, we pursue automatic means of detecting fault occurrences and other quality problems. Force signals are collected from control welds run in aluminum as well as welds containing gap faults. Signal processing techniques, specifically Support Vector Machines (SVMs), are then used to correctly detect fault occurrences. Results demonstrate the ability for in-process fault detection of FSW.

Original languageEnglish
Title of host publicationMaterials Science and Technology Conference and Exhibition, MS and T'07 - "Exploring Structure, Processing, and Applications Across Multiple Materials Systems"
PublisherMaterials Science and Technology
Pages3309-3315
Number of pages7
ISBN (Print)9781605601335
StatePublished - 2007
Externally publishedYes
EventMaterials Science and Technology Conference and Exhibition, MS and T'07 - "Exploring Structure, Processing, and Applications Across Multiple Materials Systems" - Detroit, MI, United States
Duration: Sep 16 2007Sep 20 2007

Publication series

NameMaterials Science and Technology Conference and Exhibition, MS and T'07 - "Exploring Structure, Processing, and Applications Across Multiple Materials Systems"
Volume5

Conference

ConferenceMaterials Science and Technology Conference and Exhibition, MS and T'07 - "Exploring Structure, Processing, and Applications Across Multiple Materials Systems"
Country/TerritoryUnited States
CityDetroit, MI
Period09/16/0709/20/07

Keywords

  • Automatic fault detection
  • Friction Stir Welding
  • Quality monitoring
  • Robotic Friction Stir Welding

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