A fiber-optic cure monitoring technique with accuracy improvement of distorted embedded sensors

  • Umesh Sampath
  • , Hyunjin Kim
  • , Dae Gil Kim
  • , Minho Song*
  • *Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

Abstract

A fiber-optic epoxy cure monitoring technique for efficient wind turbine blade manufacturing and monitoring is presented. To optimize manufacturing cycle, fiber-optic sensors are embedded in composite materials of wind turbine blades. The reflection spectra of the sensors indicate the onset of gelification and the completion of epoxy curing. After manufacturing process, the same sensors are utilized for in-field condition monitoring. Because of residual stresses and strain gradients from the curing process, the embedded sensors may experience distortions in reflection spectra, resulting in measurement errors. We applied a Gaussian curve-fitting algorithm to the distorted spectra, which substantially improved the measurement accuracy.

Original languageEnglish
Title of host publicationFifth Asia-Pacific Optical Sensors Conference, APOS 2015
EditorsByoungho Lee, Yunjiang Rao, Sang Bae Lee
PublisherSPIE
ISBN (Electronic)9781628418651
DOIs
StatePublished - 2015
Event5th Asia-Pacific Optical Sensors Conference, APOS 2015 - Jeju, Korea, Republic of
Duration: 2015.05.202015.05.22

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9655
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference5th Asia-Pacific Optical Sensors Conference, APOS 2015
Country/TerritoryKorea, Republic of
CityJeju
Period15.05.2015.05.22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • cure monitoring
  • distorted sensor
  • Fiber-optic sensors
  • Gaussian curve-fitting

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science
  • Computer Science & Information Systems
  • Mathematics
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Data Science
  • Physics & Astronomy

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