Date of Award
12-2022
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Aerospace, Physics, and Space Sciences
First Advisor
Mary Helen McCay
Second Advisor
James R. Brenner
Third Advisor
Tracy Colwell
Fourth Advisor
David C. Fleming
Abstract
Adhesively bonded structures are used in many high-tech industries such as aerospace, automotive, and defense. The application of these joints using composite adherends has increased in recent years because of improved strength-to-weight ratio, design flexibility, and lower concern for corrosion. Quality acceptance of these structures largely depends on reliability and durability which includes influence of environmental service conditions on long-term behavior. Characterization of long-term behavior presents a difficult challenge to those involved in material selection and design due to the long service life of the joint compared to the development time available and complexity of the degradation mechanisms. Therefore, different testing approaches are needed to address aging of bonded systems. First, an introduction to design, testing, and analysis of adhesively bonded composite structures is reviewed, along with an in-depth assessment of degradation mechanisms related to bonded composite joints. Next, current research, methodologies, and knowledge gaps on accelerated aging of structurally bonded composites involving the Arrhenius Reaction Rate theory are discussed. Finally, an empirical model and case study is proposed and demonstrated using Arrhenius methodology, statistically designed experimental techniques, and verification methods. This proposed model is intended to provide guidance for predicting and verifying long-term behavior of adhesively bonded composite aerospace structural joints in an ambient storage environment to aid in material selection during development.
Recommended Citation
Flanigan, Marie Danielle, "Accelerated Aging of Adhesively Bonded Composite Joints for use in Material Screening and Selection During Development: A Review and Case Study" (2022). Theses and Dissertations. 519.
https://repository.fit.edu/etd/519