Granting Sensorial Properties to Metal Parts through Friction Stir Processing

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Abstract

Structural Health Monitoring systems assess the part's current condition. This can be performed with a monitoring system comprising sensors, on the surface or embedded, in the monitored parts. However, surface sensors are subject to damage, and embedding the sensors may result in a weakened part. An innovative Self-Sensing Material and its manufacturing process were developed and are presented herein. As proof of concept, Barium Titanate particles were introduced and dispersed into an AA5083-H111 part by Friction Stir Processing (FSP). The particles’ distribution and concentration was evaluated by a set of characterization techniques, demonstrating that greater concentrations, grant enhanced sensitivity to the material. The use of FSP and the embedded particles improved the part’s mechanical behaviour in the processed zone. The sensorial properties were assessed and the response to a set of dynamic loads was measured, being coherent with the solicitations provided. The developed self-sensing material revealed an electrical sensitivity of 12.0 × 10-4 uV/MPa.
Original languageEnglish
Article number112405
Number of pages14
JournalMeasurement
Volume207
DOIs
Publication statusPublished - 1 Feb 2023

Keywords

  • Self-sensing material
  • Piezoelectric particles
  • Solid-state processing technology
  • Friction Stir Processing
  • Structural health monitoring

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