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Palo Alto, CA, United States

Grant
Agency: Department of Defense | Branch: Air Force | Program: STTR | Phase: Phase I | Award Amount: 150.00K | Year: 2015

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 plan include: A comprehensive review and assessment of existing models and approaches for predicting mixing and phase transitions in transcritical flows In-depth gap analysis to determine technical deficiencies in the current state of the art Theoretical characterization of controlling processes and parameters in transcritical flows Fundamental analysis of interfacial dynamics using phase-field simulations in the critical limit Demonstration of initial modeling capabilities in idealized test cases with representative conditions Development of a detailed plan for Phase II model development, implementation, testing, and validation Summary reports to communicate Phase I findings to the Air Force and to the broader technical community Phase II efforts will strongly emphasize model validation and will expand the application scope beyond the canonical test problems envisioned for Phase I. Developments in Phase III will focus on transitioning the developed models, numerical methods, and technologies to the Air Force and industrial customers. BENEFIT: Improve prediction of fuel mixing and combustion in rocket engines, gas turbine combustors, and diesel engines Deepen fundamental understanding of multicomponent mixing and phase dynamics under transcritical conditions Improve numerical methods for high-fidelity simulations of transcritical flows


Patent
Cascade Technologies, Inc. | Date: 2015-04-09

The present disclosure relates to thermal contrast therapy devices, treatment methods for providing thermal contrast therapy, and systems for providing and managing thermal contrast therapy treatments. The thermal contrast therapy devices disclosed herein are configured to provide a sequence of alternating cooling periods and heating periods to one or more areas of a patients body. A thermal contrast therapy device may comprise a source of hot fluid, a source of cold fluid, and one or more pumps configured to circulate fluid through one or more treatment pads in fluid communication with the device. The thermal contrast therapy devices disclosed herein are configured to rapidly and efficiently transition between alternating cooling periods and heating periods.


Grant
Agency: GTR | Branch: Innovate UK | Program: | Phase: Feasibility Study | Award Amount: 80.95K | Year: 2015

Project title: Open Path Analyser and Leak Localisation for unconventional gas (OPALL) OPALL project will develop and demonstrate a novel Open Path gas sensing platforms capable of continuous and unattended operation in harsh environment to monitor methane from unconventional gas extraction sites (Coal bed methane or Shale gas). It will be based on the use of Quantum Cascade Lasers integrated in an infrared absorption spectrometer previously developed for a security application. The systems will be tested and deployed in triangular arrangements at an unconventional gas extraction site, networked and coupled to data inversion algorithms in order to localise the source of possible fugitive emissions. Overall the project aims to address the high-level challenge of developing, safe, reliable and cost-effective technologies for the emerging shale gas market.


Grant
Agency: Department of Energy | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 150.00K | Year: 2014

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 of more efficient and less polluting advanced energy technologies. While the usage of HPC is wide spread in LES research, its adoption in commercial industries is still hindered by inherent complexities in utilizing these software tools. Therefore, Cascade Technologies, Inc. is proposing the development of a user-friendly web-based platform for utilizing its LES software Charles in HPC environments. Charles is a code developed using turbulence modeling methodologies resulting from DOE/NNSAs Predictive Science Academic Alliance Program at Stanford University. The overarching objective of the proposed work through Phases I and II is to develop a web platform architecture that accomplishes two goals: (1) provides immediate value to Charles usability through its support of stand-alone user interface tools and (2) creates an end-to-end simulation framework within the web interface. Initially user interface (UI) tools will tackle challenges in software deployment, simulation setup, and real time analysis. These have been identified as areas where UI tools will not only simplify the use of Charles but further enable users to take advantage of the power of LES. For example, during a simulation in progress, an innovative tool allowing the engineer to interactively inspect the intermediate results, much like a radiologist inspects MRI images, will provide greater physical insight into computations. Ultimately, combining these tools into a unified framework will allow end-to-end LES simulations and the resulting big-data to be managed with the web-platform. The architecture employed will provide a model for other HPC codes requiring improvements in usability.


Grant
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 298.93K | Year: 2014

Project title: Mid Infrared Gas Sensing and Imaging System (MIG-SIS) MIG-SIS project will develop and demonstrate 2um pump laser sources optimised for the optical parametric amplification (OPA) of chirped Quantum Cascade (QC) Lasers for sensing and imaging applications. QC Laser stand-off trace gas detection is currently limited by the watt level peak power they emit. As a consequence (and dependant upon the particular detection scheme) range is restricted to ~1’s – 10’s metres. The primary technical motivator of this project is therefore to extend the range of QC Laser based active stand-off gas detection system through a significant increase in its illumination and range capabilities via the use of an OPA. This project will focus on combining 2 different photon generation mechanisms: non-linear optics (Q-switched solid state-laser pumped OPAs) and direct generation (QC Lasers).

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