Effective Structural Health Monitoring System for 3D Printed Components

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

3D printing techniques have shown high potential for aeronautical applications. However, due to fatigue behavior, the structural integrity of the 3D printed component is still an important challenge nowadays. In this paper, a Structural Health Monitoring system is discussed that can be integrated in the 3D printed structure. Embedded galleries are initially put under vacuum and the pressure is continuously monitored. The presence of a crack is signaled when the pressure increases due to the air leak at the crack location. Besides the detection of fatigue cracks, useful localization information can also be obtained from the pressure waves that are generated inside the embedded galleries. Initial test results and the localization feasibility of the system will be discussed in this paper. Information about the crack location is crucial for further, more detailed, inspections of the crack zone, e.g. remaining life-time prediction. This feature further increases the benefits for the end users.
Original languageEnglish
Title of host publicationProceedings of the 34th Conference and the 28th Symposium of the International Committee on Aeronautical Fatigue and Structural Integrity
Publisher2015 International Committee on Aeronautical Fatigue and Structural Integrity
Pages136-142
Number of pages <span style="color:red"p> <font size="1.5"> ✽ </span> </font>7
ISBN (Print)978-951-38-7442-1
Publication statusPublished - 1 Jun 2015
EventInternational Committee on Aeronautical Fatigue and Structural Integrity - Helsinki, Finland
Duration: 1 Jun 20155 Jun 2015

Conference

ConferenceInternational Committee on Aeronautical Fatigue and Structural Integrity
Abbreviated titleICAF2015
Country/TerritoryFinland
CityHelsinki
Period1/06/155/06/15

Keywords

  • Structural health monitoring
  • 3D printed materials
  • Fatigue damage characterization
  • Aerospace structure
  • Crack detection
  • Crack localization

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