Measurement accuracy of distributed sensing fibers embedded within capillaries of solid structures

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

As an initial step of research 'Embedded fiber optic sensor (FOS) within additive layer manufactured part for structural health monitoring', this work investigates strain measurement accuracy of the embedded FOS. There are different factors that could influence strain measurement accuracy, and this study singles out fiber position variation within capillaries by using milled Aluminum 6082. To be more specific, three Aluminum 6082 parts are milled, each of which has a straight capillary inside, with diameters 2mm, 4mm and 6mm respectively. Optical fibers are placed into capillaries centers manually and adhesives are filled in between to bond the fiber and specimens. Subsequently, strain measurement accuracy by embedded FOSs is studied both analytically and experimentally. An analytical model is used to calculate theoretical strain of specimens with embedded FOSs. Static four-point bending tests are performed on the three Aluminum 6082 parts with embedded FOSs under 8KN. Based on the analytical model, theoretical strain distribution along the capillary center is plotted and two strain distribution extremes corresponding to fibers on upper and lower edges of capillaries respectively are plotted as well. Comparison of results from both the model and test shows that test results lie within the two strain distribution extremes, and yet discrepancy exists between the test measurement and theoretical strain distribution, which increases when capillaries holding the embedded FOS gets larger.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
PublisherDEStech Publications Inc.
Pages1645-1652
Number of pages8
Volume2
ISBN (Electronic)9781605956015
DOIs
Publication statusPublished - 2019
Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States
Duration: 10 Sept 201912 Sept 2019

Publication series

NameStructural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
Volume2

Conference

Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Country/TerritoryUnited States
CityStanford
Period10/09/1912/09/19

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