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[PAST EVENT] John Gardner, Applied Science - Ph.D. Dissertation Defense
Location
0280Access & Features
- Open to the public
Title: Additive Manufacturing of Nanomaterial Based Hierarchical Structures
Abstract: Aerospace systems demand high performance materials that minimize weight while functioning under extreme environmental conditions. One way to meet these requirements is by incorporating hierarchical structures into part design. These structures are known to impart unique mechanical properties not characteristic of the bulk material such as high strength and toughness. It is difficult, however, to manufacture these structures due to the inherent trade-off between part size and feature resolution in traditional manufacturing processes. Additive manufacturing offers a potential solution to these issues by allowing material placement directly at desired locations. This loosens geometric constraints and allows for multiple contiguous materials in a single part. Despite these advantages, additive manufacturing still suffers from part size/feature resolution and repeatability issues. The goal of this work is to develop capabilities for additive manufacturing of hierarchical structures with features from the nano- to macroscale. First, we will study existing additive manufacturing techniques for aerospace grade parts and develop improved systems to mitigate repeatability issues. Then, we will use carbon nanotubes as a basis for manufacturing multifunctional systems with material hierarchy. Finally, we will study biostructures as basis of new additive manufacturing techniques for geometric hierarchy. This includes diatomite composite printing and growth and manipulation of live diatoms on macroscale parts.
Bio: John Gardner was raised in Chesapeake, VA and graduate from Old Dominion University in 2010 with a Bachelor of Science in Mechanical Engineering. After graduation, he worked briefly in private industry before joining NASA Langley Research Center. In 2013, he began work in Professor Hannes Schniepp’s Nanomaterials and Imaging Lab while also participating in the Pathways program at NASA Langley. John’s research interests include automation, composites, materials characterization, and additive manufacturing.