ORAU
Physics Based Models for Power and Propulsion Innovations using High Performance
ORAU, Aberdeen, Maryland, United States, 21001
Overview
Physics Based Models for Power and Propulsion Innovations using High Performance Computing
– an ORAU research opportunity hosted by the US Army Research Laboratory, Mechanical Sciences Division. This role focuses on developing novel physics-based models, high-fidelity simulation, and machine learning capabilities to understand fundamental propulsion physics and to explore the design space of next-generation disruptive propulsion platforms. The research will support adaptive turbine propulsion, pressure gain combustion, and morphing hypersonic systems for current and future Army vehicles. The models developed will be deployed on DoD leadership High Performance Computing facilities, leveraging resources and collaborating with internal and cross-directorate experts in mechanical and computational sciences. This position will involve collaborations with leading OEMs and academia, and will have direct links to experimental facilities at ARL Weapons and Materials Research Directorate as well as external facilities for validation and concept vetting. About the Research
The US Army Research Laboratory, Mechanical Sciences Division, conducts basic and applied research in Turbine Power and Propulsion to address far-term science and technology challenges envisioned for the future battlefield environment in Multi-Domain Operations (MDO). Energy and Propulsion is a key thrust area conducting exploratory fundamental research in propulsion sciences for Army gas turbine engines and hypersonic weapon systems to enhance durability, performance for self-sustainability, and high power density under extreme battlefield operating conditions. An important component is the development of novel physics-based models, high-fidelity simulation, and machine learning capabilities to understand the fundamental physics and also to explore the design space of next-generation disruptive propulsion platforms. This research associateship is a critical part of on-going mission programs towards developing innovative propulsion technologies, including adaptive turbine propulsion, pressure gain combustion, and morphing hypersonic systems for current and future Army vehicles. This research will focus on the development of new physics-based computational fluid dynamic models to be deployed on DoD leadership High Performance Computing (HPC) facilities leveraging exceptional resources and teaming with internal and cross-directorate experts in mechanical and computational sciences. This position will also involve collaborations with leading OEMs and academia. The models developed will have direct links to experimental facilities at ARL Weapons and Materials Research Directorate as well as external facilities for validation and concept vetting efforts. Organization
DEVCOM Army Research Laboratory Reference Code
ARL-R-WMRD-300125 Research Scope
Research proposals are invited that advance first-principles and engineering models for compressible fluid dynamics, particle-laden turbulence, fluid-structure interaction, and conjugate heat transfer, including Direct Numerical Simulation (DNS), Large Eddy Simulation (LES), or RANS approaches. New methods in machine learning are sought that can leverage the large databases produced by our simulations to extract new insights of physical systems as well as guide optimization and design space exploration. Data reduction and in-situ visualization techniques are also desired for big data processing (TBs) and interpretation/presentation of scientific data. Topics include 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 computational CPU cost; and fluid-structure-interaction models for jet engine and hypersonic system optimization under off-design conditions. The candidate will have deep knowledge of computational fluid dynamics (CFD) model development, mesh generation techniques, turbulence models, MPI protocols, High Performance Computing and scalability analysis for massively parallel computations. The team will work closely with ARL staff in the Weapons and Materials Research Directorate, as well as cross-directorate collaboration from the 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 the program will be available to the candidate. The nature of the research will also require establishing close collaborations with experimentalists from ARL, and relevant external partners from academia, industry and national laboratories. ARL Advisor: Luis Bravo ARL Advisor Email:
luis.g.bravorobles.civ@army.mil About WMRD
The Weapons and Materials Research Directorate (WMRD) aims to enhance the lethality and survivability of weapons systems, and to meet the soldier’s technology needs for advanced weaponry and protection. Research areas include energetic materials dynamics, propulsion/flight physics, projectile warhead mechanics, terminal effects phenomena, armor/survivability technologies, environmental chemistry, and advanced materials for armor, armament, missiles, ground vehicles, helicopters, and individual soldier applications necessary for maintaining and ensuring supremacy in future land warfare. About ARL-RAP
The Army Research Laboratory Research Associateship Program (ARL-RAP) significantly increases involvement of scientists and engineers from academia and industry in Army-relevant research areas across disciplines including propulsion, flight physics, computational and information sciences, and more. 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 Eligibility Requirements
Degree: Bachelor's Degree, Master's Degree, or Doctoral Degree. Academic Level(s): Any academic level. Discipline(s): Chemistry and Materials Sciences; Computer, Information, and Data Sciences; Engineering; Mathematics and Statistics; Physics Age: Must be 18 years of age Seniorities: Internship Employment type: Full-time Industries: Government Administration Seniority level
Internship Employment type
Full-time Job function
General Business, Management, and Business Development Industries
Government Administration
#J-18808-Ljbffr
Physics Based Models for Power and Propulsion Innovations using High Performance Computing
– an ORAU research opportunity hosted by the US Army Research Laboratory, Mechanical Sciences Division. This role focuses on developing novel physics-based models, high-fidelity simulation, and machine learning capabilities to understand fundamental propulsion physics and to explore the design space of next-generation disruptive propulsion platforms. The research will support adaptive turbine propulsion, pressure gain combustion, and morphing hypersonic systems for current and future Army vehicles. The models developed will be deployed on DoD leadership High Performance Computing facilities, leveraging resources and collaborating with internal and cross-directorate experts in mechanical and computational sciences. This position will involve collaborations with leading OEMs and academia, and will have direct links to experimental facilities at ARL Weapons and Materials Research Directorate as well as external facilities for validation and concept vetting. About the Research
The US Army Research Laboratory, Mechanical Sciences Division, conducts basic and applied research in Turbine Power and Propulsion to address far-term science and technology challenges envisioned for the future battlefield environment in Multi-Domain Operations (MDO). Energy and Propulsion is a key thrust area conducting exploratory fundamental research in propulsion sciences for Army gas turbine engines and hypersonic weapon systems to enhance durability, performance for self-sustainability, and high power density under extreme battlefield operating conditions. An important component is the development of novel physics-based models, high-fidelity simulation, and machine learning capabilities to understand the fundamental physics and also to explore the design space of next-generation disruptive propulsion platforms. This research associateship is a critical part of on-going mission programs towards developing innovative propulsion technologies, including adaptive turbine propulsion, pressure gain combustion, and morphing hypersonic systems for current and future Army vehicles. This research will focus on the development of new physics-based computational fluid dynamic models to be deployed on DoD leadership High Performance Computing (HPC) facilities leveraging exceptional resources and teaming with internal and cross-directorate experts in mechanical and computational sciences. This position will also involve collaborations with leading OEMs and academia. The models developed will have direct links to experimental facilities at ARL Weapons and Materials Research Directorate as well as external facilities for validation and concept vetting efforts. Organization
DEVCOM Army Research Laboratory Reference Code
ARL-R-WMRD-300125 Research Scope
Research proposals are invited that advance first-principles and engineering models for compressible fluid dynamics, particle-laden turbulence, fluid-structure interaction, and conjugate heat transfer, including Direct Numerical Simulation (DNS), Large Eddy Simulation (LES), or RANS approaches. New methods in machine learning are sought that can leverage the large databases produced by our simulations to extract new insights of physical systems as well as guide optimization and design space exploration. Data reduction and in-situ visualization techniques are also desired for big data processing (TBs) and interpretation/presentation of scientific data. Topics include 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 computational CPU cost; and fluid-structure-interaction models for jet engine and hypersonic system optimization under off-design conditions. The candidate will have deep knowledge of computational fluid dynamics (CFD) model development, mesh generation techniques, turbulence models, MPI protocols, High Performance Computing and scalability analysis for massively parallel computations. The team will work closely with ARL staff in the Weapons and Materials Research Directorate, as well as cross-directorate collaboration from the 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 the program will be available to the candidate. The nature of the research will also require establishing close collaborations with experimentalists from ARL, and relevant external partners from academia, industry and national laboratories. ARL Advisor: Luis Bravo ARL Advisor Email:
luis.g.bravorobles.civ@army.mil About WMRD
The Weapons and Materials Research Directorate (WMRD) aims to enhance the lethality and survivability of weapons systems, and to meet the soldier’s technology needs for advanced weaponry and protection. Research areas include energetic materials dynamics, propulsion/flight physics, projectile warhead mechanics, terminal effects phenomena, armor/survivability technologies, environmental chemistry, and advanced materials for armor, armament, missiles, ground vehicles, helicopters, and individual soldier applications necessary for maintaining and ensuring supremacy in future land warfare. About ARL-RAP
The Army Research Laboratory Research Associateship Program (ARL-RAP) significantly increases involvement of scientists and engineers from academia and industry in Army-relevant research areas across disciplines including propulsion, flight physics, computational and information sciences, and more. 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 Eligibility Requirements
Degree: Bachelor's Degree, Master's Degree, or Doctoral Degree. Academic Level(s): Any academic level. Discipline(s): Chemistry and Materials Sciences; Computer, Information, and Data Sciences; Engineering; Mathematics and Statistics; Physics Age: Must be 18 years of age Seniorities: Internship Employment type: Full-time Industries: Government Administration Seniority level
Internship Employment type
Full-time Job function
General Business, Management, and Business Development Industries
Government Administration
#J-18808-Ljbffr