NEGAR KALANTAR

Robotic Clay Printing

—PROCESS

Data-Driven Design e

Seashell-Inspired Robotic Fabrication

Robotic Light Visualization

Clay++ | 3D Printing on Arbitrary Surfaces

Robotic Clay Printing

Non-Planar Robotic Printing


—BEHAVIOR

Tunable Smart Materials

Reconfigurable Kerf Structures

Flexible Textile

3D-Printed Flexible yet Rigid Textile

Self-Forming 3D Printed Structures

a2o | Responsive Mediator

—MATTER

Algorithmic Kerfing

BioMaterial | BacTerra

BioMaterial | Shell We Dance

BioMaterial |ShoreThing

—GEOMETRY

Nested Vault

2D Nesting

2.5D Nesting

3D Nesting

PRINT in PRINT

Casting on Sand

Folding Unfoldable

Kinetic Shading Structures

Deployable Structures

Deployable Domes

D-Form

Robotic Clay Printing

Impact of Robotic 3D Printing Process Parameters on Bond Strength

2019 | Autodesk Technology Center, San Francisco, Texas A&M.

Collaborators: Mehdi FarahBakhsh (PhD researcher)

Links to publications: Impact of Robotic 3D Printing Process Parameters on Bond Strength

Impact of robotic 3D printing process parameters on interlayer bond strength

Project Description: To strengthen the binding between clay layers, we focused on three scales: Micro, Mezzo, and Macro. The core of this research was to explore how fine-tuning printing parameters at the Mezzo scale could achieve varying structural strengths and surface patterns. By adjusting flow rate, speed, waiting time, and layer spacing, we were able to create different strengths and textures. To maintain consistent and controllable flow rates, we designed and tested various augers to optimize printing quality.