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Phase Transitions, Nucleation and Mixing Modeling through Trans-Critical Conditions

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-15-C-0037
Agency Tracking Number: F14A-T23-0140
Amount: $149,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF14-AT23
Solicitation Number: 2014.1
Solicitation Year: 2014
Award Year: 2015
Award Start Date (Proposal Award Date): 2014-12-01
Award End Date (Contract End Date): 2015-09-01
Small Business Information
2445 Faber Place #100
Palo Alto, CA 94303
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Lee Shunn
 (650) 521-0243
Business Contact
 Hung Le
Phone: (650) 521-0243
Research Institution
 Stanford University
 Gary Podesta
3160 Porter Drive, Suite 100
Palo Alto, CA 94304
United States

 (650) 725-2525
 Nonprofit College or University

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

* Information listed above is at the time of submission. *

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