NASA STTR 2014 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 14-1 T12.04-9903
RESEARCH SUBTOPIC TITLE: Experimental and Analytical Technologies for Additive Manufacturing
PROPOSAL TITLE: Physics-Based Selection of SLM Process Parameters to Mitigate Defects and to Control Deposit Microstructure

SMALL BUSINESS CONCERN (SBC): RESEARCH INSTITUTION (RI):
NAME: Applied Optimization, Inc. NAME: University of Tennessee
STREET: 714 East Monument Avenue, Suite 204 STREET: 1534 White Avenue
CITY: Dayton CITY: Knoxville
STATE/ZIP: OH  45402 - 1382 STATE/ZIP: TN  37996 - 1529
PHONE: (937) 431-5100 PHONE: (865) 974-3466

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Anil Chaudhary
anil@appliedo.com
714 E Monument Ave Ste 204
Dayon, OH 45402 - 1382
(937) 431-5100 Extension :1

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Catherine Keenan
katy.keenan@appliedo.com
714 E Monument Ave Ste 204
Dayton, OH 45402 - 1382
(937) 431-5100 Extension :2

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 4
End: 5

Technology Available (TAV) Subtopics
Experimental and Analytical Technologies for Additive Manufacturing is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?
No

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
The research objectives of this proposal are to: (1) To adapt the thermal-fluid science procedures for the prediction of weld defects to the prediction and control of surface defects and melt pool instability during the deposition of single tracks in SLM and to control the as-deposited microstructure. (2) Utilize physics-based analysis to predict variability caused in the individual SLM track cross-section geometry due to the statistical distribution of powder particles sizes and the potential non-uniform placement of powder particles during recoating. This will also include performing statistical analysis of the variability and to develop a probabilistic model to calculate levels of confidence and exceedance for the size and type of potential defects as a function of the SLM process parameters. (3) Determine the thermal cycling during deposition and use it to predict solidification microstructure and solid state transformations during deposition; and (4) Demonstrate feasibility of the analytical procedures for alloy IN718.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The NASA application is to enable physics-based selection of SLM process parameters to mitigate defects and to control microstructure for a variety of aerospace materials. It is designed to reduce the effect needed to fulfill the certification requirements for parts manufactured for NASA. This application is needed because the commercially available SLM systems are based on parameters designed by trial and error, and only for a few alloys and powders. This work is expected to reduce this effort to design an SLM process for new alloy by a factor of ten.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Physics-based selection of SLM process parameters to mitigate defects and to control microstructure for a variety of materials utilized in land or sea-based gas-turbine engines, for life-extension of aging systems, repair of jet engine components for commercial aircraft, etc.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Analytical Methods
Characterization
Joining (Adhesion, Welding)
Models & Simulations (see also Testing & Evaluation)
Processing Methods
Software Tools (Analysis, Design)

Form Generated on 04-23-14 17:37