Physics Based Models for Power and Propulsion Innovations using High Performance Computing
About the Research
The US Army Research Laboratory, Science-for-Maneuver Campaign, conducts basic and applied research which will enable key technologies that can address far-term science and technology challenges that are envisioned for the future battlefield. Energy and Propulsion, is one thrust area conducting exploratory research in adaptive propulsion platforms for existing and novel internal and gas-turbine engines, to expand its performance for self-sustainability and high power density under extreme battlefield operating conditions. An important component is the development of novel physics based models and detailed simulation capabilities not only to understand the fundamental physics, but also to explore the design space for next generation vehicle propulsion platforms. This research associateship is a critical part of on-going mission programs towards developing adaptive propulsion technologies, including fuel-flexible operations, for current and future Army vehicles. This research will focus on the development of accurate physics based models to be deployed on DoD leadership High Performance Computing (HPC) facilities leveraging exceptional computational resources and teaming with internal and cross-directorate experts in computational sciences. The models developed will have direct links to experimental facilities at ARL Vehicle Research Laboratory and external collaborators for validation and concept vetting efforts.
Research proposals are invited to develop first principle and engineering models for multiphase turbulent flows, including Direct Numerical Simulation (DNS), Large Eddy Simulation (LES), or RANS models, as well as, as One-Dimensional-Turbulence (ODT) stochastic models, or Linear Eddy Mixing (LEM), computational frameworks, such as LEMLES. Data reduction and in-situ visualization techniques are also desired for big data processing (TBs) and interpretation/presentation of scientific data. The areas of technical interest include, but are not limited to, interface-tracking methods (e.g., VOF, LS), hybrid methods (Eulerian-Lagrangian); chemical kinetic models based on finite rate chemistry, tabulated kinetic models, or novel methods that improve the computational CPU cost; and fluid-structure-interaction (FSI) models for jet engine optimization under off-design conditions.
The candidate will have a deep knowledge of computational fluid dynamics (CFD) model development, mesh generation techniques, turbulence models, MPI/OpenMPI protocols, High Performance Computing and scalability analysis for massively parallel computations. The team will work closely with ARL staff in the Vehicle Technology Directorate, as well as cross-directorate collaboration from Computational & Information Science Directorate to closely interact with the data analysis and scientific visualization team, and HPC scientists. Data visualization hardware and software resources mentioned in (Su et al, 2018) will be available to the candidate. The nature of the work will also require establishing close collaborations with experimentalists from Vehicle Research Laboratory, and relevant external partners from academia, industry and national laboratories.
ARL Advisor: Luis Bravo
ARL Advisor Email: luis.g.bravo2.civ@mail.mil
About VTD
The CCDCArmy Research Laboratory's Vehicle Technology Directorate (VTD) is the principal Army organization responsible for the pursuit of mobility-related science and technologies leading to advanced capabilities and improved reliability for Army air and ground vehicles. VTD leads the ARL Major Laboratory Program in mobility and the RDECOM Technology Focus Team in mobility and logistics. The technology focus areas within the ARL and RDECOM programs have been defined as platform, propulsion, intelligent systems and logistics.
The VTD mission is accomplished through in-house basic and applied research, and from collaborations with other ARL functions, RDECOM, Navy, Air Force, academia and industry leaders. The mission is enhanced through teaming with and leveraging of research efforts associated with Collaborative Technology Alliances (CTAs) and Multidisciplinary University Research Initiatives (MURIs). For example, VTD is actively involved with two CTAs (Robotics and Micro Autonomous System Technologies), several cooperative agreements, and a unique partnership with the National Aeronautics and Space Administration (NASA) at the Langley Research Center in Hampton, VA and the Glenn Research Center in Cleveland, OH.
About ARL-RAP
The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.
A complete application includes:
- Curriculum Vitae or Resume
- Three References Forms
- An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference.
- References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable)
- Transcripts
- Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable
If selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for :
- Research topic should relate to a specific opportunity at ARL (see Research Areas)
- The objective of the research topic should be clear and have a defined outcome
- Explain the direction you plan to pursue
- Include expected period for completing the study
- Include a brief background such as preparation and motivation for the research
- References of published efforts may be used to improve the proposal
A link to upload the proposal will be provided to the applicant once the advisor has made their selection.
Questions about this opportunity? Please email ARLFellowship@orau.org
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