Abstract & Details
Description
Award ID: 2112009
The broader impact of this Small Business Innovation Research (SBIR) Phase II project is to enable a new manufacturing paradigm that can enable long-term autonomy of manufacturing via a proposed swarm 3D printing and assembly (SPA) platform, a method to coordinate robotic assembly. The first envisioned application is the architectural precast construction industry, which suffers from a shortage of skilled labor, long turnover time, and high cost of equipment and operation for making precast molds. This technology will further enable novel cooperative and autonomous manufacturing modalities. This Small Business Innovation Research (SBIR) Phase II project realizes the cooperation of multiple independent 3D printing and assembly robots. The technical objectives are to improve the current platform, with technical focus areas of: improving the printing speed of individual 3D printers, fully automating material refill and build plate placement, developing planning and scheduling algorithms to support large-scale SPA for multi-job printing, and creating a new calibration method to improve printing quality. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
NSF Program Director: Ela Mirowski
The broader impact of this Small Business Innovation Research (SBIR) Phase II project is to enable a new manufacturing paradigm that can enable long-term autonomy of manufacturing via a proposed swarm 3D printing and assembly (SPA) platform, a method to coordinate robotic assembly. The first envisioned application is the architectural precast construction industry, which suffers from a shortage of skilled labor, long turnover time, and high cost of equipment and operation for making precast molds. This technology will further enable novel cooperative and autonomous manufacturing modalities. This Small Business Innovation Research (SBIR) Phase II project realizes the cooperation of multiple independent 3D printing and assembly robots. The technical objectives are to improve the current platform, with technical focus areas of: improving the printing speed of individual 3D printers, fully automating material refill and build plate placement, developing planning and scheduling algorithms to support large-scale SPA for multi-job printing, and creating a new calibration method to improve printing quality. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
NSF Program Director: Ela Mirowski
| Status | Active |
|---|---|
| Effective start/end date | 08/15/21 → 08/31/26 |
Lead and Sub-Awardee Organization(s)
Funding
- SBIR Phase II: $1,000,000.00
Active Fiscal Year
- FY2024
- FY2023
- FY2022
- FY2026
- FY2025
Start Fiscal Year
- FY2021
TIP Programs
- SBIR Phase II
Small Business
- Yes
Key Technology Areas
- Robotics and Advanced Manufacturing
- (confidence score: 100%)
Technology Foci
- Advanced Manufacturing (excluding biomanufacturing and semiconductor manufacturing)
- (confidence score: 100%)
Congressional District at Award
- District n. 03 of Arkansas
Current Congressional District
- District n. 03 of Arkansas
United States
- Arkansas
Core Based Statistical Area (CBSA)
- Fayetteville-Springdale-Rogers, AR
County
- County: Washington, AR
EPSCoR Jurisdiction
- Yes
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint. Learn more about Elsevier's Fingerprint Engine here: https://beta.elsevier.com/products/elsevier-fingerprint-engine