On-Line Monitoring of Blind Fastener Installation Process

Javier Camacho, Fernando Veiga, Mari Luz Penalva, Alberto Diez-Olivan, Lutz Deitert, Norberto López de Lacalle

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
2 Downloads (Pure)

Abstract

Blind fasteners are of special interest for aircraft construction since they allow working on joints where only one side is accessible, as is the case in many common aerospace box-type structures, such as stabilizers and flaps. This paper aims to deliver an online monitoring method for the detection of incorrect installed blind fasteners. In this type of fastener, the back side of the assembly is not accessible, so monitoring the process installation is suitable as a system to assess the formed head at the back side with no access. The solution proposed consists of an on-line monitoring system that is based on sensor signals acquired during the installation. The signals are conveniently analyzed in order to provide an evaluation outcome on how the fastener was installed. This new method will help production to decrease/eliminate time and cost-intensive inspections and fasteners over installation in structures. The decrease of the number of installed fasteners will also contribute to weight savings and will reduce the use of resources.
Original languageEnglish
Article number1157
Pages (from-to)1157
Number of pages1
JournalMaterials
Volume12
Issue number7
DOIs
Publication statusPublished - 2019

Keywords

  • Online process monitoring
  • Process signal analysis
  • Classification method for quality assessment
  • Blind fasteners
  • k-means clustering
  • Non-destructive inspection

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/686827/EU/BLINDFAST: INNOVATIVE BLIND FASTENER MONITORING TECHNOLOGY FOR QUALITY CONTROL/BLINDFAST
  • Funding Info
  • This research is part of the BLINDFAST: INNOVATIVE BLIND FASTENER MONITORING_x000D_ TECHNOLOGY FOR QUALITY CONTROL project, which has received funding from the European Union’s_x000D_ Horizon 2020 research and innovation program under grant agreement 686827.

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