A Non-Empirical Predictive Model for Additively Manufactured Lattice Structures (2016-18)

BeamModelingThe goal of this project, supported by America Makes, is to develop physics-based, predictive models for the elastic modulus and yield strength of lattice structures, that are shape-independent. Our modeling methodology is to deconstruct lattice structures into Representative Lattice Elements (RLE) which include two key elements: the connecting beams/walls, and the junction that these meet at. We use a combination of analytical methods (beam theory), experimental characterization and simulation to validate our modeling methodology.

Metal Additive Manufacturing of Landing Gear Components (2018)

The goal of this project, supported by a DOD SBIR Phase I grant, is to identify candidate landing gear components for the Air Force, and assess metal AM as a method of manufacturing for these parts across three different metal alloys. As part of a larger collaborative effort with two small businesses, our group is responsible for mechanical testing and characterization of the 3D printed alloys.

Additive Manufacturing and Mechanical Behavior of Composite Honeycomb Structures (2017-18)


This project, supported by the Barrett Honors College, is looking at manufacturing and modeling honeycombs made of two materials. Specifically, we are looking at 3D printing honeycombs with the MarkForged 3D Printer with a Nylon-chopped carbon fiber composite combined with continuous carbon fiber. We are also developing a predictive model for the stiffness and failure response of such structures.


A Framework for the Biomimetic Design of Lattice Materials (2017)

Publication: McNulty et al., “A Framework for the Design of Biomimetic Cellular Materials for Additive Manufacturing,” peer-reviewed proceedings, Solid Freeform Fabrication Symposium 2017, pp. 2188-2200