Towards Sustainable Aviation: LES of an Open Fan Blade at Flight Reynolds Number using Exascale Supercomputing

ORAL

Abstract

As the aviation industry aims for net zero CO2 by 2050, a new aircraft engine architecture using an open fan, rather than a ducted fan typically used today, promises a significant reduction in the energy required for flight and hence an associated reduction in fuel consumption and emissions. We present wall-resolved LES of a full 3D open fan blade using the high-order, unstructured solver GENESIS. In contrast to prior work at moderate Re representative of wind tunnel conditions, the present LES is at full-scale flight Re and was performed at the Oak Ridge Leadership Computing Facility’s (OLCF) exascale supercomputer Frontier. The LES provides unique insights into the detailed flow physics, turbulence model shortcomings, as well as the aerodynamic and acoustic performance of the open fan blade at flight Re, years in advance of when full-scale flight testing typically occurs in an engine development program.

Presenters

  • Stephan Priebe

    GE Aerospace Research

Authors

  • Stephan Priebe

    GE Aerospace Research

  • Ravish Karve

    GE Aerospace Research

  • Suryapratim Chakrabarti

    GE Aerospace Research

  • Luke D’Aquila

    GE Aerospace Research

  • Eduardo Jourdan

    GE Aerospace Research

  • Arash Mousavi

    GE Aerospace

  • Mohammad Alhawwary

    GE Aerospace Research

  • Varun Bharadwaj Ananthan

    GE Aerospace

  • Kishore Ramakrishnan

    GE Aerospace Research

  • Trevor Wood

    GE Aerospace Research