NASA SBIR 2020-II Solicitation

Proposal Summary

Proposal Information

Proposal Number:
20-2- Z4.04-4677
Phase 1 Contract #:
Subtopic Title:
Real Time Defect Detection, Identification and Correction in Wire-Feed Additive Manufacturing Processes
Proposal Title:
Relativity Space: 3D Printing the Future

Small Business Concern

Relativity Space, Inc.
3500 East Burnett Street, Long Beach, CA 90815
(310) 910-8573                                                                                                                                                                                

Principal Investigator:

Jeffrey Campbell
8701 Aviation Boulevard, 90301 - 2003
(801) 599-5694                                                                                                                                                                                

Business Official:

Josh Brost
8701 Aviation Boulevard, 90301 - 2003
(310) 910-8573                                                                                                                                                                                

Summary Details:

Estimated Technology Readiness Level (TRL) :                                                                                                                                                          
Begin: 3
End: 6
Technical Abstract (Limit 2000 characters, approximately 200 words):

Relativity is the only company dedicated to printing an entire launch vehicle. To that end, the company has created the world’s largest metal 3D printer platform, Stargate. At this time, we do not perform automatic, real-time  defect detection, but the company has developed significant elements that when integrated together demonstrate the capability for real-time in-situ flaw detection. We use sensors and cameras to collect data on multi-dimension time series; real-time processing elements to review camera and time series data; and closed-feedback loops to modify print deposition parameters. 

As part of our Phase II effort over the course of 24 months, we propose to mature our entire suite of sensors to a TRL of 6. To that end, we propose to: 

  1. Complete the integration of volumetric-flaw detection sensors into our production-class printers.
  2. Train our flaw-detection algorithms to work with our detection sensors.
  3. Conduct trade studies of our algorithms.
  4. Integrate and validate our algorithms with our production printers, continuing to train them to detect and classify the types of flaws that would cause us to stop a print.

The above work would be in line with our standing goal of using machine learning to automatically respond to a defect and remove/replace it.  


Potential NASA Applications (Limit 1500 characters, approximately 150 words):

Automatic defect detection are a key enabler for 3D printing off planet and as such has wide-ranging potential applications for NASA, including for in-situ manufacturing, on-demand manufacturing from feedstock, manufacturing objects that cannot be launched from Earth due either to payload fairing volume limits or launch loads, and the ability to design missions in novel ways to reduce cost. For example, mission elements not needed for ascent from Earth—such as habitat components—could be manufactured from a printer on the surface of the Moon. 

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):

Potential non-NASA applications include those in large, low-volume structures manufacturing, such as makers of industrial pipe, automotive equipment, real-time imaging, and non-destructive testing across the construction, oil, and gas industries.  

Duration:     24

Form Generated on 05/13/2021 14:41:03