NASA STTR 2020-I Solicitation

Proposal Summary


PROPOSAL NUMBER:
 20-1- T12.06-5463
SUBTOPIC TITLE:
 Extensible Modeling of Additive Manufacturing Processes
PROPOSAL TITLE:
 Improved Part-Scale Modeling of Additive Manufacturing Processes
SMALL BUSINESS CONCERN (SBC):
QuesTek Innovations, LLC
1820 Ridge Avenue
Evanston IL  60201 - 3621
Phone: (847) 328-5800
RESEARCH INSTITUTION (RI):
Northwestern University
2145 Sheridan Rd, L492
IL  60208 - 3109
Phone: (312) 503-7955

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

Name:
Jiadong Gong
E-mail:
jgong@questek.com
Address:
1820 Ridge Avenue Evanston, IL 60201 - 3621
Phone:
(847) 425-8221

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

Name:
Kevin Creely
E-mail:
kcreely@questek.com
Address:
1820 Ridge Avenue Evanston, IL 60201 - 3621
Phone:
(847) 425-8226
Estimated Technology Readiness Level (TRL) :
Begin: 1
End: 2
Technical Abstract (Limit 2000 characters, approximately 200 words)

Under this STTR program, QuesTek Innovations LLC will utilize its knowledge and expertise in Integrated Computational Materials Engineering (ICME) to develop improved part-scale, metal-based additive manufacturing (AM) process models, focusing on thermal history and grain growth prediction. QuesTek will partner with Professor Gregory Wagner at Northwestern University, who has expertise in modeling the thermal history of AM processes. The expertise of the Wagner Research Group will combine with QuesTek’s knowledge on microstructural prediction to implement improvements to part-scale simulations of AM processes to predict grain structure, which will enable prediction of component-level microstructural anisotropy.

Phase I efforts will focus on research and development of methodologies for improving the accuracy and efficiency of higher-scale AM simulations regarding laser powder bed fusion of Inconel 625. Methodologies will begin from the well-established single-track simulations, moving to multi-layer simulations, and finally starting to formulate and develop methodologies for addressing efficiency concerns of simulations at the part-scale by using reduced-order models calibrated by higher accuracy models. The efforts of the Wagner Research Group will synergize with and improve QuesTek’s efforts, as accurate thermal history predictions are imperative for accurate grain growth predictions, while QuesTek’s efforts will help further validate the Wagner Group’s work.

Phase II efforts would focus on further developing methodologies to achieve more efficient and accurate part-scale AM simulations. In tandem with the algorithm development, an emphasis would be placed on further part-scale validation studies. These studies would be used both for calibrating and validating the methods for different AM processing parameter ranges, to extend the versatility and robustness of the tools developed

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

The tool proposed in this work incorporates an ICME framework to model microstructural evolution and assist in mitigating microstructural anisotropy in AM, and therefore is a valuable complement to many of NASA’s existing AM research initiatives.  Given the influence of the microstructure on the properties and performance of AM components, this tool will expedite the insertion of AM components into flight-critical spacecraft applications, and will aid in the development of more advanced AM technologies

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

QuesTek has collaborated with several aerospace OEMs on AM-related research, including Boeing, Lockheed Martin, Aerojet Rocketdyne, Blue Origin, and Northrup Grumman. These companies have dedicated significant resources to improve properties and qualify AM components, and have expressed interest in a modeling tool capable of predicting properties and mitigating anisotropy at the component level

Duration: 13

Form Generated on 06/29/2020 21:13:19