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 language | English |
|---|---|
| Title of host publication | Fifth Asia-Pacific Optical Sensors Conference, APOS 2015 |
| Editors | Byoungho Lee, Yunjiang Rao, Sang Bae Lee |
| Publisher | SPIE |
| ISBN (Electronic) | 9781628418651 |
| DOIs | |
| State | Published - 2015 |
| Event | 5th Asia-Pacific Optical Sensors Conference, APOS 2015 - Jeju, Korea, Republic of Duration: 2015.05.20 → 2015.05.22 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 9655 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | 5th Asia-Pacific Optical Sensors Conference, APOS 2015 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju |
| Period | 15.05.20 → 15.05.22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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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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