Affiliation:
1. NASA Langley Research Center, Hampton, VA 23681 e-mail:
Abstract
This paper presents data from an innovative nondestructive evaluation (NDE) method for automated composite fiber placement fabrication. Using Infrared images of the fiber, as it was being placed, we are able to provide valuable information about the quality of the part during fabrication. Herein, we discuss the methodology for data collection and processing. The described in situ thermal NDE process is found to be applicable for identifying fiber tow overlaps, gaps, twists, puckering, and poor ply adhesion prior to cure, thereby reducing the time and cost associated with post cure flaw repair or scrapping parts. This paper also describes the process of assembling data sets for an entire part beyond simple frame by frame analysis. Example data sets for both a flat part and a larger cylindrical part are presented to demonstrate the type of defect characterization information that can be obtained.
Subject
Mechanics of Materials,Safety, Risk, Reliability and Quality,Civil and Structural Engineering
Reference15 articles.
1. Experimental Study of the Effect of Automated Fiber Placement Induced Defects on Performance of Composite Laminates;Compos. Part A,2011
2. Composite Material Laser Flaw Detection,1996
3. Laser-Vision Inspection System for Automated Fiber Placement (AFP) Process,2015
4. Automated in-Process Inspection System for AFP Machines;SAE Int. J. Aerosp.,2015
5. Real-Time Infrared Thermography Inspection and Control for Automated Composite Material Layup,2009
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献