Office of Research, UC Riverside
Victor Zordan
Associate Adjunct Professor
Computer Science & Engineering
vzordan@ucr.edu
(951) 827-2557


III: CGV: Medium: Collaborative Research: Computational Design and 3D Printing of Textiles

AWARD NUMBER
006778-002
FUND NUMBER
21257
STATUS
Closed
AWARD TYPE
3-Grant
AWARD EXECUTION DATE
6/6/2014
BEGIN DATE
8/1/2014
END DATE
7/31/2018
AWARD AMOUNT
$100,000

Sponsor Information

SPONSOR AWARD NUMBER
IIS-1409111
SPONSOR
NATIONAL SCIENCE FOUNDATION
SPONSOR TYPE
Federal
FUNCTION
Organized Research
PROGRAM NAME

Proposal Information

PROPOSAL NUMBER
14040277
PROPOSAL TYPE
New
ACTIVITY TYPE
Basic Research

PI Information

PI
Zordan, Victor
PI TITLE
Other
PI DEPTARTMENT
Computer Science & Engineering
PI COLLEGE/SCHOOL
Bourns College of Engineering
CO PIs

Project Information

ABSTRACT

In addition to being the essential fabric of the world's fashion industry, textiles are important components for automotive, aeronautical, architectural, and defense applications. Yet textile prototyping and design (whether for garments, upholstery or composite materials) is an arduous and expensive process. This research project seeks to understand and advance the role of new additive manufacturing technologies (commonly referred to as "3D printing") in the design and prototyping of textile products. The PIs' goal is to develop 3D printing hardware and computer software that enable engineers to prototype textile designs more quickly and economically, and with greater control over a broad gamut of mechanical, optical, and electrical characteristics such as aerodynamic drag, adhesion, heat regulation, friction, elasticity, porosity, density, electrical conductivity, and visual appearance. Beyond individual textiles, project outcomes will support the fabrication of complete products that do not require considerable stitching and assembly, and which may include curved shapes too difficult to cut from flat panels and/or complex composite assemblies too costly to fabricate via traditional methods. To achieve these objectives, the PIs will develop: a library of highly-optimized textile "units" that can be combined using a new language of textile functionality to form a vast array of possible textiles; computer optimization software that enables precise control of textile properties; a computer program that allows users to visually and interactively design complex textile products; and a specialized 3D Printer that is able to precisely fabricate textiles involving multiple materials.

Technically speaking, this project will create the first complete hardware/software pipeline for digital design and fabrication of textiles using multi-material 3D printing. The first fundamental step in this pipeline is constructing parameterized meta-material templates that provide users with high-level knobs for tuning the behavior and large-scale properties of a textile. Next, the ability to interactively simulate the behavior of a virtual textile will be achieved by combining continuum homogenization and data-driven methods; the PIs will develop an interactive design tool that employs first order sensitivity analysis tied to the physical simulation, to enable designers to navigate the huge space of possible designs at both the micro and macro levels. A new language for functionally specifying textile designs that employs a reducer-tuner model will allow engineers and designers to specify meta-materials in terms of desired behavior and performance, enabling designs with guarantees on their characteristics and compliance with standards. Printing volumes for current 3D printers are limited; however, by incorporating computational textile folding into the pipeline, the PIs' system will be able to print very large designs in much smaller folded configurations. Solution of the folding problem will involve nonlinear, non-convex, optimization with unilateral contact constraints. Finally, textiles and garments will be printed using both off-the-shelf 3D printers and a novel low-cost, high-resolution, modular 3D printing platform that is capable of printing with up to 12 different materials that vary in mechanical and appearance properties. In addition to photopolymer materials, the PIs plan to extend hardware capabilities to 3D print structures using co-polymers and solvent-based materials. More information about this project is available online at http://textiles.csail.mit.edu/
(Abstract from NSF)