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QPOT: A Multiphysics Analysis based Quenching Process Optimization Tool for Large Forging Parts

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-21-C-0058
Agency Tracking Number: N202-122-0690
Amount: $140,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N202-122
Solicitation Number: 20.2
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-10-14
Award End Date (Contract End Date): 2021-04-19
Small Business Information
15400 Calhoun Drive Suite 190
Rockville, MD 20855-2814
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Yuye Tang
 (301) 294-4243
 ytang@i-a-i.com
Business Contact
 Mark James
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
N/A
Abstract

Naval Aviation aircraft procurement faces cost and schedule challenges where one of the major contributors is the high scrap rate of large airframe aluminum forging parts. The parts were rejected for geometrical non-conformance, due to distortion induced during quenching stage. To address the critical challenge, Intelligent Automation Inc. (IAI) and collaborators propose to develop an innovative multi-physics analysis and Machine Learning (ML) based optimization tool that covers three disciplines (thermal, mechanical, and metallurgical) to reduce residual stresses and distortion within large aluminum forging parts introduced during the quenching process. In Phase I, the research team will work together to develop the foundation modules of the simulation tool, including fluid flow and heat transfer analysis, precipitation modeling and residual stress and distortion simulation. Moreover, the team will formulate the ML framework that can combine experimental data to improve simulation accuracy and enhance computational efficiency. Moreover, a detailed test plan will be developed, and calibration and validation tests will be conducted based on representative part with simple geometries.

* Information listed above is at the time of submission. *

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