Development of an embedded thin-film strain-gauge-based SHM network into 3D-woven composite structure for wind turbine blades

Dongning Zhao, Shafqat Rasool, Micheal Forde, Bryan Weafer, Edward Archer, Alistair McIlhagger, James McLaughlin

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

Abstract

Recently, there has been increasing demand in developing low-cost, effective structure health monitoring system to be embedded into 3D-woven composite wind turbine blades to determine structural integrity and presence of defects. With measuring the strain and temperature inside composites at both in-situ blade resin curing and in-service stages, we are developing a novel scheme to embed a resistive-strain-based thin-metal-film sensory into the blade spar-cap that is made of composite laminates to determine structural integrity and presence of defects. Thus, with fiberglass, epoxy, and a thinmetal- film sensing element, a three-part, low-cost, smart composite laminate is developed. Embedded strain sensory inside composite laminate prototype survived after laminate curing process. The internal strain reading from embedded strain sensor under three-point-bending test standard is comparable. It proves that our proposed method will provide another SHM alternative to reduce sensing costs during the renewable green energy generation.
LanguageEnglish
Title of host publicationUnknown Host Publication
PublisherSPIE
Number of pages9
DOIs
Publication statusE-pub ahead of print - 19 Apr 2017
EventSmart Materials and Nondestructive Evaluation for Energy Systems 2017 -
Duration: 19 Apr 2017 → …

Conference

ConferenceSmart Materials and Nondestructive Evaluation for Energy Systems 2017
Period19/04/17 → …

Fingerprint

Strain gages
Composite structures
Wind turbines
Turbomachine blades
Laminates
Thin films
Composite materials
Structural integrity
Curing
Costs
Defects
Bending tests
Resins
Health
Monitoring
Sensors
Metals
Temperature

Keywords

  • 3D-woven Composite
  • SHM Network

Cite this

@inproceedings{3c81b381cfad457f8bf8f0bc7987fc40,
title = "Development of an embedded thin-film strain-gauge-based SHM network into 3D-woven composite structure for wind turbine blades",
abstract = "Recently, there has been increasing demand in developing low-cost, effective structure health monitoring system to be embedded into 3D-woven composite wind turbine blades to determine structural integrity and presence of defects. With measuring the strain and temperature inside composites at both in-situ blade resin curing and in-service stages, we are developing a novel scheme to embed a resistive-strain-based thin-metal-film sensory into the blade spar-cap that is made of composite laminates to determine structural integrity and presence of defects. Thus, with fiberglass, epoxy, and a thinmetal- film sensing element, a three-part, low-cost, smart composite laminate is developed. Embedded strain sensory inside composite laminate prototype survived after laminate curing process. The internal strain reading from embedded strain sensor under three-point-bending test standard is comparable. It proves that our proposed method will provide another SHM alternative to reduce sensing costs during the renewable green energy generation.",
keywords = "3D-woven Composite, SHM Network",
author = "Dongning Zhao and Shafqat Rasool and Micheal Forde and Bryan Weafer and Edward Archer and Alistair McIlhagger and James McLaughlin",
year = "2017",
month = "4",
day = "19",
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language = "English",
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Zhao, D, Rasool, S, Forde, M, Weafer, B, Archer, E, McIlhagger, A & McLaughlin, J 2017, Development of an embedded thin-film strain-gauge-based SHM network into 3D-woven composite structure for wind turbine blades. in Unknown Host Publication. SPIE, Smart Materials and Nondestructive Evaluation for Energy Systems 2017, 19/04/17. https://doi.org/10.1117/12.2259808

Development of an embedded thin-film strain-gauge-based SHM network into 3D-woven composite structure for wind turbine blades. / Zhao, Dongning; Rasool, Shafqat; Forde, Micheal; Weafer, Bryan; Archer, Edward; McIlhagger, Alistair; McLaughlin, James.

Unknown Host Publication. SPIE, 2017.

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

TY - GEN

T1 - Development of an embedded thin-film strain-gauge-based SHM network into 3D-woven composite structure for wind turbine blades

AU - Zhao, Dongning

AU - Rasool, Shafqat

AU - Forde, Micheal

AU - Weafer, Bryan

AU - Archer, Edward

AU - McIlhagger, Alistair

AU - McLaughlin, James

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N2 - Recently, there has been increasing demand in developing low-cost, effective structure health monitoring system to be embedded into 3D-woven composite wind turbine blades to determine structural integrity and presence of defects. With measuring the strain and temperature inside composites at both in-situ blade resin curing and in-service stages, we are developing a novel scheme to embed a resistive-strain-based thin-metal-film sensory into the blade spar-cap that is made of composite laminates to determine structural integrity and presence of defects. Thus, with fiberglass, epoxy, and a thinmetal- film sensing element, a three-part, low-cost, smart composite laminate is developed. Embedded strain sensory inside composite laminate prototype survived after laminate curing process. The internal strain reading from embedded strain sensor under three-point-bending test standard is comparable. It proves that our proposed method will provide another SHM alternative to reduce sensing costs during the renewable green energy generation.

AB - Recently, there has been increasing demand in developing low-cost, effective structure health monitoring system to be embedded into 3D-woven composite wind turbine blades to determine structural integrity and presence of defects. With measuring the strain and temperature inside composites at both in-situ blade resin curing and in-service stages, we are developing a novel scheme to embed a resistive-strain-based thin-metal-film sensory into the blade spar-cap that is made of composite laminates to determine structural integrity and presence of defects. Thus, with fiberglass, epoxy, and a thinmetal- film sensing element, a three-part, low-cost, smart composite laminate is developed. Embedded strain sensory inside composite laminate prototype survived after laminate curing process. The internal strain reading from embedded strain sensor under three-point-bending test standard is comparable. It proves that our proposed method will provide another SHM alternative to reduce sensing costs during the renewable green energy generation.

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