Effects of Manufacturing Features Associated with Automated Fiber Placement on Performance of Advanced Composite Structures with Fiber Steering
Abstract
The primary goal of this research is to investigate the impact of manufacturing features/defects associated with automated processes on the performance of composite structures. Secondary goals include the use of in-process sensorsfor machine learning in order to minimize defects formation and the use of high-fidelity mesh independent analysis techniques such as extended finite element methods (x-FEM) and discrete crack networking (DCN) for predicting the effects of such anomalies on failure strength and failure mode.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 24, 2019
- Source ID
- N000141912168
Entities
People
- Waruna Seneviratne
Organizations
- Office of Naval Research
- United States Navy
- Wichita State University