Based On Nature's Adaptation

Our team conducted an in-depth study of biological surfaces with natural hydrophobic and ice-resistant properties. Patterns from sources such as mint leaves, cicada wings, lotus leaves, and Namib Desert beetles were examined to determine which structures are most effective at reducing ice adhesion and accelerating melting.

Phase 1- Pattern Research and Identification: 3D printed patterns were developed to test the effectiveness of the patterns.

Phase 2- Proof of Concept: Recreated the most effective patterns from Phase 1 on a sample set of asphalt surfaces and put the sample through a freeze-thaw test to validate anti-incing and de-icing properties.

Phase 1 Details

Process Paper

Phase 2 Details

Pattern Research and Identification

Different flora/fauna were researched for their patterns for de-icing and anti-icing properties.

A series of 3D-printed samples were developed to replicate biomimicry patterns. The goal was to evaluate their effectiveness under controlled conditions by measuring:
• Ice formation rate at a consistent temperature
• Melting time under identical conditions
• Impact of humidity using a humidifier to simulate varying moisture levels
Each pattern was tested at the same temperature, with and without added humidity, to determine how well they prevent ice accumulation and enhance melting. The results helped identify the most promising pattern for further testing.

Proof of Concept

Once an optimal pattern was selected, a simulated 3D-printed road surface embedded with biomimetic patterns was created and tested. The primary goal was to assess the icing rate, coefficient of friction, and water retention under different temperatures and
humidity levels. The following data is being collected:
• Time taken for ice to form on the surface compared to traditional asphalt
• Changes in friction coefficient at different temperatures and water levels
• Effectiveness of surface patterns in repelling water before freezing