Development of structural imaging diagnosis technique by using mechanoluminecsence material

2014 Fiscal Year Final Research Report

• Project/Area Number: 24560536
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Measurement engineering
• Research Institution: Saga University (2013-2014); National Institute of Advanced Industrial Science and Technology (2012)
• Principal Investigator: UENO Naohiro 佐賀大学, 工学(系)研究科(研究院), 教授 (50356557)
• Co-Investigator(Renkei-kenkyūsha): XU Chao-Nan 独立行政法人産業技術総合研究所, 生産計測技術研究センター, 研究チーム長 (70235810)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 応力発光 / 疲労亀裂 / 主成分分析

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.

Free Research Field

センシング工学