CASCADE TECHNOLOGIES, INC.

Company Information
Address 2445 FABER PL STE 100
PALO ALTO, CA, 94303-3347

http://www.cascadetechnologies.com

Information

DUNS: 179576715

# of Employees: 11


Ownership Information

HUBZone Owned: N

Socially and Economically Disadvantaged: N

Woman Owned: N



Award Charts




Award Listing

  1. Highly Scalable Large-eddy Simulations of Oxy-fuel Combustors for Direct-fired Supercritical CO2 Power Cycles

    Amount: $154,184.00

    The safety, reliability and efficiency of direct-fired sCO2 cycles depend to a large extent upon the combustor performance. However, multi-scale interactions between turbulence and chemistry remain an ...

    SBIRPhase I2017Department of Energy
  2. Machine-Learning & QMU for Multi-Fidelity Analysis of Scramjet Operability

    Amount: $124,941.00

    Dual-mode scramjets have the potential to operate efficiently in a variety of flight conditions without requiring complicated variable configurations, thus providing cost-effective access to space and ...

    SBIRPhase I2017National Aeronautics and Space Administration
  3. A Massively Parallel Framework for Low-Dissipation, Multiphysics Simulations of Rocket Engines

    Amount: $124,952.00

    In this proposal, researchers from Cascade Technologies and Stanford University outline a multi-year research plan to develop large-eddy simulation (LES) tools to predict and understand combustion ins ...

    STTRPhase I2017National Aeronautics and Space Administration
  4. High-Fidelity Design Tools and Technologies for High-Pressure Heavy Fuel Injectors

    Amount: $99,998.00

    The objective of the proposed SBIR project is to develop a computational tool capable of predicting the atomization of liquid injected through a practical I.C. Engine fuel injector under realistic ope ...

    SBIRPhase I2017Department of Defense Army
  5. Modeling of interior nozzle flows for transient effects, realistic high performance nozzle physics and coupling to Large Eddy Simulation modeling of t

    Amount: $749,293.00

    The objective of the present proposal is to develop and apply accurate, robust and cost-effective methodologies for the prediction of the interior nozzle flow, seamlessly coupled with high-fidelity la ...

    SBIRPhase II2016Department of Defense Navy
  6. Web platform architecture for CFD simulations and real-time analysis on HPC resources

    Amount: $999,998.00

    The availability and continued growth of high performance computing (HPC) is opening new avenues for complex physics based software simulations. The usage of high performance computing is particularly ...

    SBIRPhase II2015Department of Energy
  7. Phase Transitions, Nucleation and Mixing Modeling through Trans-Critical Conditions

    Amount: $149,999.00

    ABSTRACT: In this proposal, researchers from Cascade Technologies and Professors Matthias Ihme and Ali Mani from Stanford University lay out a plan to develop predictive modeling tools for transcriti ...

    STTRPhase I2015Department of Defense Air Force
  8. Tactical Airplane Noise Reduction via Advanced Automated Computational Airframe Aft-End Integration Technologies

    Amount: $748,027.00

    The objective of the present technical effort is to analyze and design noise-reduction devices and shape modifications of the airframe aft-end to tailor its interaction with the jet as a mechanism to ...

    SBIRPhase II2015Department of Defense Navy
  9. Web platform architecture for CFD simulations and real-time analysis on HPC resources

    Amount: $150,000.00

    The availability and continued growth of High Performance Computing (HPC) is opening new avenues for complex physics based software simulations. The usage of HPC is particularly important in high-fid ...

    SBIRPhase I2014Department of Energy
  10. Tactical Airplane Noise Reduction via Advanced Automated Computational Airframe Aft-End Integration Technologies

    Amount: $149,999.00

    Cascade Technologies and its collaborators from Stanford University propose to develop an efficient and robust computational framework to optimize the aerodynamic interactions between vortices shed by ...

    SBIRPhase I2014Department of Defense Navy

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