Cascade Technologies, Inc.

2445 Faber Place Suite 100
Palo Alto, CA 94303
http://www.turbulentflow.com
12 Employees

SBIR Award Summary

Total Number of Awards 30
Total Value of Awards $9.2MM
First Award Date 02/20/04
Most Recent Award Date 02/21/17

30 Awards Won

Phase 1 SBIR

Agency: Department of Energy
Topic: 17d
Budget: 02/21/17 - 02/20/18
PI: Lee Shunn

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 unresolved issue in theoretical, experimental and numerical investigations of environments at supercritical pressures. This investigation aims to ...

Phase 2 SBIR

Agency: Navy
Topic: N132-102
Budget: 12/14/15 - 12/18/17

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 large eddy simulation (LES) for the prediction of the jet plume and radiated noise. Based on the Phase I results, the meshing strategy and the wall m...

Phase 2 SBIR

Agency: Department of Energy
Topic: 02c
Budget: 04/06/15 - 04/05/17

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 important in high-fidelity large-eddy simulation of multi-physics engineering problems such as the development of more e cient and less polluting ...

Phase 1 STTR

Institution: Stanford University

Agency: Air Force
Topic: AF14-AT23
Budget: 12/01/14 - 09/01/15
PI: Lee Shunn

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 transcritical flows. Phase I of the three phase plan is outlined in detail and extensions are proposed for Phases II and III. Central points of the Phase I p...

Phase 1 SBIR

Agency: Navy
Topic: N142-099
Budget: 09/23/14 - 03/30/15

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 designed control surfaces/devices on the airframe aft-end and the engine exhaust plume, as a mechanism to appropriately modified the jet developme...

Phase 1 STTR

Institution: Florida State University

Agency: Navy
Topic: N14A-T005
Budget: 09/09/14 - 04/09/15

Cascade Technologies and its collaborators from the Florida State University and Stanford University propose to develop a robust computational framework to enable geometrical optimization of complex non-axisymmetric exhaust systems with controlled accuracy and low computational cost. In this framework, Reynolds-averaged Navier-Stokes (RANS) surr...

Phase 1 SBIR

Agency: Department of Energy
Topic: 02C-2014
Budget: 01/01/14 - 12/31/14

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-fidelity Large-Eddy Simulation (LES) a branch of computational fluid dynamics (CFD) of multi-physics engineering problems such as the development o...

Phase 1 SBIR

Agency: Navy
Topic: N132-102
Budget: 10/21/13 - 05/01/14
PI: Hung Le

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 large eddy simulation (LES) for the prediction of the jet plume and radiated noise. The simulations will be performed in the massively-parallel unstr...

Phase 2 STTR

Institution: University of Michigan

Agency: Office of the Secretary of Defense
Topic: OSD10-T001
Budget: 04/05/12 - 04/05/14
PI: Hung Le

This work will develop and validate a high-fidelity LES combustion model based on Flamelet Progress Variable approach for accurate prediction of high-speed turbulent combustion. The flamelet-modeling paradigm facilitates consideration of detailed reaction chemistry and complex turbulence-chemistry interaction, which is critical for high-speed hy...

Phase 2 SBIR

Agency: Navy
Topic: N101-028
Budget: 08/10/11 - 02/10/13
PI: Hung Le

The work proposed for this project arises from the need for modeling a realistic fuel atomization process in a complex combustor/augmentor fuel injector. In a real gas turbine combustor or augmentor, the injected liquid fuel undergo atomization for fast evaporation, mixing and combustion. Furthermore, this atomization process occurs in the spati...

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