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An Immersed Boundary Framework for Topology Optimization of Nonlinear Thermoelastic Structures with Internal Radiation

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-17-P-2236
Agency Tracking Number: F17A-015-0206
Amount: $149,789.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF17A-T015
Solicitation Number: 2017.0
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-08-11
Award End Date (Contract End Date): 2018-05-14
Small Business Information
5100 Springfield Street
Dayton, OH 45431
United States
DUNS: 782766831
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Dr. Christopher Ruscher
 (937) 256-7733
Business Contact
 Dr. Sivaram Gogineni
Phone: (937) 902-6546
Research Institution
 Mississippi State University
 Manav Bhatia
 (662) 325-7294
 Nonprofit College or University

Thermoelastic structures poses a critical challenge to designers due to the inherent proportionality of the thermal loading on the structural thickness. This is further exacerbated by structural nonlinearity where any out-of-plane deformation further increases the effective loading on the structure. As a result of this, conventional design optimization procedures, which are typically based on linear thermoelastic analysis, have been shown to result in infeasible designs. The density-based approach does not provide a crisp definition of the topology and its boundary, which limits its utility for applications requiring modeling of boundary physics, such as radiation heat-transfer. The proposed research will create a topology optimization framework using a level-set formulation on a predefined computational mesh. The nonlinear thermoelastic system-of-equations will be solved on the implicit geometry using an extended finite element method (X-FEM) approach. This will be implemented inside the computational framework, MAST, that has been used extensively for design of nonlinear thermoelastic structures. Computational efficiency of the procedure will be enhanced using adjoint-sensitivity of the coupled problem and the optimization framework will be demonstrated using topology optimization of representative three-dimensional structures. Finally, the internal (cavity) radiation solvers, developed by the co-PI Bhatia, will be integrated as a module inside MAST.

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

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