| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Outline of Final Research Achievements |
The purpose of this study is development of the novel diagnosis technique of the structure (carbon fiber reinforced composit pressure vessel) using mechanoluminescent (ML) sensors. The ML materials are able to convert mechanical action to light intensity directly.
The ML sensor was applied to the composite pressure vessel surface and fatigue tests were performed by the pressurization repeatedly. By observing the ML pattern, fatigue cracks of pressure vessel before that was breaking were successfully detected. The principal component analysis (PCA) was utilized for ML time series images. By comparing the first component of PCA results, singular ML pattern is obtained and fatigue crack position is successfully identified. In addition, by subtracting computed afterglow pattern from observed images during some load working, ML patterns are successfully extracted. This technique is based on the ML chalacteristic that the ML is independent to afterglow.
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