Document Type
Thesis - Open Access
Award Date
2016
Degree Name
Master of Science (MS)
Department / School
Mechanical Engineering
First Advisor
Zhong Hu
Keywords
carbon, fiber, laminate, misalignment, modulus, unidirectional
Abstract
Nondestructive Evaluation (NDE) is an effective way for determining material properties. More specifically, ultrasonic waves along with visual measurements from a microscope can be used to systematically determine the elastic modulus of single ply composites that are subject to an altered manufacturing process. In this approach, the magnitude of specific ultrasonic wave velocities is applied through Chirstoffel's equations to determine the necessary five elastic constants that describe the elastic modulus of transversely isotropic composites. On the other hand, fiber misalignment measurements are taken through via digital microscopy to satisfy a statistical approach for the determination of the same elastic modulus. The Paper Physics Approach (PPA) and Laminate Analogy Approach (LAA) are utilized to predict the elastic modulus of unidirectional carbon fiber samples. A two parameter Weibull distribution is expected to satisfy the probability density of the fiber length and fiber orientation variation which will then be implemented into the Halpin-Tsai equations that will determine the elastic modulus. In terms of results, the mean fiber length from the visual approach is approximately 250 μm and the mean fiber misalignment is just over 3°. The elastic constants range from 7 GPa to 9 GPa depending on the approach. Destructive mechanical testing led to an average elastic modulus value of 8.49 GPa.
Library of Congress Subject Headings
Carbon fibers
Composite materials -- Testing
Strength of materials
Nondestructive testing
Ultrasonic testing
Description
Includes bibliographical references (page 72-73)
Format
application/pdf
Number of Pages
81
Publisher
South Dakota State University
Recommended Citation
Stangler, Luke, "The Effects of Carbon Fiber Misalignment on Composite Material Strength" (2016). Electronic Theses and Dissertations. 678.
https://openprairie.sdstate.edu/etd/678