3D Printed Impact Mitigation
Protecting fragile objects and people from impacts requires materials that can absorb energy without transmitting dangerous peak forces. Traditional foams are widely used because they are inexpensive and isotropic, but they collapse unpredictably and eventually densify under strain. Once densified, they transfer large stresses to the protected object.
In contrast, the ideal energy absorber, as first described by Ashby, has a square force–displacement profile: it compresses at a constant force across the full stroke, absorbing the entire impact energy without ever densifying. This “box-shaped” response is what we aim to realize through architected lattice geometries.
Our lab investigates plate lattice metamaterials as a promising path toward this ideal. By tailoring lattice geometry, we can design absorbers that respond predictably to impacts across a wide range of energies.


Tunable Metamaterials for Impact Mitigation (2024)
In our 2024 paper, we demonstrated how plate lattice metamaterials outperform conventional foams in absorbing and distributing impact energy. By coupling additive manufacturing with a custom simulation pipeline, we established both experimental and numerical foundations for these structures.
- Plate lattices absorb up to 6× more energy than foams of the same density.
- They withstand impacts 10× more energetic while transmitting equivalent peak stresses.
- Graded prebuckling increases energy absorption efficiency by ~10% on average (up to 25% in the best designs).
- Unlike foams, which densify and lose effectiveness, plate lattices transmit near-constant peak stresses across a wide range of impact energies.
Our custom high-speed impact test rig validates the performance of these metamaterials by simulating real-world impact scenarios.


Automated Lattice Design
To push beyond case-by-case testing, we are building a design automation pipeline that links geometry generation, physics simulation, and optimization. This framework enables automated discovery of optimal designs for specific impact scenarios and constraints.
- Produces Pareto spaces of candidate designs.
- Supports rapid exploration at previously impossible scales.
- Validates top designs experimentally with a custom high-speed impact test rig.

