2018年海洋信息论坛第28期
报告题目：NDE of Composites towards Manufacturing Innovation: Damage Diagnosis, Characterization and Prognosis
报 告 人：Prof. Yimeng Deng
时间：7月20日 上午10:00-11:00
地点：水声楼315会议室
报告人简介：
Yiming Deng is an Associate Professor in the Nondestructive Evaluation Laboratory of Electrical and Computer Engineering department of the College of Engineering, Michigan State University, USA. His research interests include electromagnetic and acoustic nondestructive evaluation (NDE), structural health monitoring (SHM) for multi-scale, multi-resolution, and multi-parameter damage diagnostics and prognostics, applied electromagnetics, acoustics, and computational modeling. Prof. Deng is an Associate Editor of IEEE Transactions on Reliability (IEEE TREL), Materials Evaluation (ME), Journal of Prognstics and Health Management (JPHM), and RAMS Proceedings. He serves as ad hoc panelist and reviewer for National Science Foundation (NSF), US Department of Energy (DOE), US Department of Transportation (DOT), NDSEG Program (US DoD and ASEE) and over 40 scientific journals. He is a Senior Member of IEEE and a Member of ASNT.
报告简介：
The use of advanced composite structures is increasing due to their light weight and associated fuel savings, improved fatigue performance and corrosion resistance. Due to their inherent anisotropy, composites pose new and unique challenges in non-destructive inspection (NDI). Improved defect detection and characterization along with rapid inspection of large areas is essential for safety of resulting components and structures. Furthermore, with increasing use of fiber reinforced polymer (FRP) composites in several industries such as aviation, automotive and construction, effective diagnosis and prognosis of composite structures have become an extremely critical task in recent years. The primary goal of prognosis is to accurately predict failure threshold using inspection data from early stages of degradation. Despite outstanding qualities such as light-weight, high specific stiffness and strength, components made of composite materials are often vulnerable to damages caused due to fatigue or external impacts which compromise their performance and hence propel the need of their periodic inspection by robust non-destructive evaluation (NDE) techniques. Overall accurate health prognosis is critical for condition-based-maintenance (CBM) and for reducing life-cycle costs by taking full advantage of the remaining useful life (RUL) of a component.