computational design
Overview
credit: eqlz
year:
2024
designed by: brett goliff
creative direction: aaron "AC" cooper
CONTRIBUTING TEAM MEMBERS:
DAVID BOND
WINTER ZHANG
YI JIANG
ROCKY FAN
GALEN ZHANG
responsibilities:
computational design of outsole
creation of mold-ready 3d geometry
product launch animation MOTION GRAPHICS
product rendering & VISUALIZATION
tool stack:
side fx houdini
touchdesigner
davinci resolve
description
Inspired by the cheetah, nature's fastest land predator,  EQLZ® 360 features a revolutionary computational outsole designed for dynamic traction. By leveraging Reaction Diffusion simulations with over 2.1 million data points, the outsole intelligently adapts to pressure map data, optimizing traction, flexibility, energy absorption, and weight reduction.

Using Algorithmic Gradation, EQLZ® 360 transitions seamlessly between pattern typologies across different zones of the outsole, perfectly balancing style and function for real-time performance.

The outsole geometry was designed and created using SideFX Houdini, a software typically used in the Film and VFX industries. Houdini allows for complex Algorithmic Design for creating next-level products while still offering high fidelity and control to adhere to production and manufacturing constraints encountered at-scale.

EQLZ® 360 continues to explore my own personal desire to advance Computational Design using a dynamic environment that allows simultaneous geometry creation, simulation, animation, and visualization. This environment facilitates my interest in the combinatory power of proceduralism and biomimicry to create novel, nature-inspired products for the new age.  
product photography by eqlz®

reaction-diffusion

Reaction Diffusion patterns are an emergent system that can be found in numerous forms in nature including patterns on fish, coral, plant-life, and other animal patterns. Algorithms that model these systems can create wildly dynamic and variable patterns with just small changes in the initial parameters.

gray-scott model

The Gray-Scott Model is one type of equation that models a reaction-diffusion system, based upon a chemical reaction between two substances that diffuse over time. The main parameters that control the outcome of the simulation are the time (t), feed (f), and kill (k) rates.

eqlz® 360 pattern typology definition
curve typology // type theta
FEED RATE: 0.038
KILL RATE: 0.061
LINE TYPOLOGY // TYPE MU
FEED RATE: 0.046
KILL RATE: 0.065
MITOSIS TYPOLOGY // TYPE ETA
FEED RATE: 0.034
KILL RATE: 0.063
CELLULAR TYPOLOGY // TYPE DELTA
FEED RATE: 0.030
KILL RATE: 0.055
algorithmic gradation for performance optimization

EQLZ® 360 utilizes a Reaction Diffusion Simulation of over 2.1 million points to generate the outsole geometry. Algorithmic Gradation was used to smoothly transition the pressure data values across the outsole between multiple pattern typologies that are optimized for traction, flexibility, energy absorption, and weight reduction in response to pressure mapping data and the respective location on the outsole.

launch animation teaser
product visualization