NASA STTR 2020-I Solicitation

Proposal Summary


PROPOSAL NUMBER:
 20-1- T12.06-6599
SUBTOPIC TITLE:
 Extensible Modeling of Additive Manufacturing Processes
PROPOSAL TITLE:
 Data-Driven Modeling of Directed Energy Deposition (DED) for Defect-Free Builds using Real-Time Monitoring Approaches
SMALL BUSINESS CONCERN (SBC):
Formalloy Technologies, Inc.
2830 Via Orange Way, Suite H
Spring Valley CA  91978 - 1743
Phone: (619) 377-9101
RESEARCH INSTITUTION (RI):
New Mexico State University-Dona Ana
Hernandez Hall, Room 210, 3035 S Espina St
NM  88003 - 8001
Phone: (575) 646-3514

Principal Investigator (Name, E-mail, Mail Address, City/State/Zip, Phone)

Name:
Ehsan Dehghan-Niri
E-mail:
niri@nmsu.edu
Address:
Hernandez Hall, Room 210, 3035 S Espina St Las Cruces, NM 88003 - 8001
Phone:
(575) 646-3514

Business Official (Name, E-mail, Mail Address, City/State/Zip, Phone)

Name:
Melanie Lang
E-mail:
melanie.lang@formalloy.com
Address:
2830 Via Orange Way, Ste H Spring Valley, CA 91978 - 1743
Phone:
(619) 377-9101
Estimated Technology Readiness Level (TRL) :
Begin: 1
End: 2
Technical Abstract (Limit 2000 characters, approximately 200 words)

Additive Manufacturing (AM) will play a large role in the development for NASA’s next generation of space flight systems. However, without a deeper understanding of various additive processes available, it is difficult to use the technologies reliably. In order to predict the results for dimensional accuracy, microstructure formation, and defect initiation points, FormAlloy and New Mexico State University proposes to develop a data-driven model of the directed energy deposition (DED) process. The models will be derived from data generated by in-situ monitoring with acoustic emissions (AE), thermal, and vision sensing modalities during deposition process and mechanical, metallurgical, and nonlinear ultrasound evaluations post-build.

The sensing modalities will be installed within one of FormAlloy’s award-winning DED systems and data will be collected during the deposition of two materials of interest for NASA, Inconel 625 and GRCop-42. Several parameter sets will be utilized to generate samples for evaluation with a wide range of microstructures and mechanical properties. The approach presented here shall potentially set the framework other material systems within DED and other AM processes of interest, such as laser powder bed fusion (L-PBF). Once the models are validated, FormAlloy and NMSU would proceed with a Phase II to develop a software package to deliver accelerated development cycles and improved part quality for additive manufacturing processes.

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

The proposed solution of creating a data-driven model of the DED process will inspire confidence and help develop a deeper understanding of the AM process for future NASA designs and applications. The DED process is an AM technology of interest due its ability to manufacture large parts and with multiple materials within the same build. By having a model of the process to predict where issues may arise during the build process, NASA would reduce the cycle time in developing new propulsion hardware.

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

By commercializing a modeling software that promotes defect-free builds within a DED technology capable of build multi-material large components, FormAlloy would distinguish itself further amidst the DED competition and AM technologies available. The software generated within a Phase II proposal can help the various industries develop a deeper understanding of the growing AM technologies.

Duration: 13

Form Generated on 06/29/2020 21:15:20