Development of friction stir welding technologies for in-space manufacturing

  • William R. Longhurst
  • , Chase D. Cox
  • , Brian T. Gibson
  • , George E. Cook
  • , Alvin M. Strauss
  • , Isaac C. Wilbur
  • , Brandon E. Osborne

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Friction stir welding (FSW) has emerged as an attractive process for fabricating aerospace vehicles. Current FSW state-of-the-art uses large machines that are not portable. However, there is a growing need for fabrication and repair operations associated with in-space manufacturing. This need stems from a desire for prolonged missions and travel beyond low-earth orbit. To address this need, research and development is presented regarding two enabling technologies. The first is a self-adjusting and aligning (SAA) FSW tool that drastically reduces the axial force that has historically been quite large. The SAA-FSW tool is a bobbin style tool that floats freely, without any external actuators, along its vertical axis to adjust and align with the workpiece’s position and orientation. Successful butt welding of 1/8 in. (3.175 mm) thick aluminum 1100 was achieved in conjunction with a drastic reduction and near elimination of the axial process force. Along with the SAA-FSW, an innovative in-process monitor technique is presented in which a magnetoelastic force rate-of-change sensor is employed. The sensor consists of a magnetized FSW tool that is used to induce a voltage in a coil surrounding the tool when changes to the process forces occur. The sensor was able to detect 1/16 in. (1.5875 mm) diameter voids. It is concluded that these technologies could be applied toward the development of a portable FSW machine for use in space.

Original languageEnglish
Pages (from-to)81-91
Number of pages11
JournalInternational Journal of Advanced Manufacturing Technology
Volume90
Issue number1-4
DOIs
StatePublished - Apr 1 2017

Keywords

  • Automation and control
  • Friction stir welding
  • In-space manufacturing
  • Process monitoring

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