Fully turbulent discrete adjoint solver for non-ideal compressible flow applications. (22nd November 2017)

• Record Type: Journal Article
• Authors: Vitale, Salvatore; Albring, Tim A.; Pini, Matteo; Gauger, Nicolas R.; Colonna, Piero
• Other Names: Ong Jonathan reviewer.; Liu Feng reviewer.; He L reviewer.
• Is Part Of: Journal of the Global Power and Propulsion Society. Volume 1(2017)
• Page Start: 252
• Page End: 270
• Publication Date: 2017-11-22
• Subjects: NICFD -- adjoint -- turbomachinery -- turbulent -- shape optimization -- algorithmic differentiation; Propulsion systems -- Periodicals; Turbomachines -- Periodicals; Engines -- Periodicals; 621.4
• DOI: 10.22261/JGPPS.Z1FVOI
• Languages: English
• ISSNs: 2515-3080

Abstract

Abstract: Non-Ideal Compressible Fluid-Dynamics (NICFD) has recently been established as a sector of fluid mechanics dealing with the flows of dense vapors, supercritical fluids, and two-phase fluids, whose properties significantly depart from those of the ideal gas. The flow through an Organic Rankine Cycle (ORC) turbine is an exemplary application, as stators often operate in the supersonic and transonic regime, and are affected by NICFD effects. Other applications are turbomachinery using supercritical CO2 as working fluid or other fluids typical of the oil and gas industry, and components of air conditioning and refrigeration systems. Due to the comparably lower level of experience in the design of this fluid machinery, and the lack of experimental information on NICFD flows, the design of the main components of these processes ( i.e., turbomachinery and nozzles) may benefit from adjoint-based automated fluid-dynamic shape optimization. Hence, this work is related to the development and testing of a fully-turbulent adjoint method capable of treating NICFD flows. The method was implemented within the SU2 open-source software infrastructure. The adjoint solver was obtained by linearizing the discretized flow equations and the fluid thermodynamic models by means of advanced Automatic Differentiation (AD) techniques. The new adjoint solver was tested on exemplary turbomachinery cases. Results demonstrate the method effectiveness in improving simulated fluid-dynamic performance, and underline the importance of accurately modeling non-ideal thermodynamic and viscous effects when optimizing internal flows influenced by NICFD phenomena.