A Wall-Modeled Large-Eddy-Simulation Tool for Fan Broadband Noise Prediction

This SBIR project proposes to develop a wall-modeled large-eddy-simulation (WMLES) tool for fan broadband noise prediction. Since fan broadband noise results from the interaction of turbulence with solid surfaces, it is important to resolve turbulent eddies up to a certain scale in order to achieve an accurate fan broadband noise prediction. Unfortunately the computational cost of the wall-resolved LES approach is found to scale with the Reynolds number as Re2.72, similar to Re2.91 of the direct numerical simulation (DNS) approach. To obtain a faster tool for fan broadband noise prediction, this SBIR effort will pursue the WMLES approach, in which the inner portion of the boundary layer will be modeled rather than resolved. The approach can reduce the computational cost to Re1.14. As a feasibility study, the Phase I outcome will demonstrate the feasibility of the proposed WMLES approach for accurate simulation of NASA 22-in fan noise source diagnostic test (SDT) case. Therefore, it is meaningful to further refine the methodology and develop a computational software tool for commercialization in Phase II.

The Advanced Air Transport Technology (AATT) and Commercial Supersonic Technology (CST) Projects would benefit from the developed computational tool that could be used to predict the performance and noise impacts of the novel engine installations for noise reduction. The Transformational Tools and Technologies (TTT) Project would benefit from the developed computational tool to enhance the ability to consider acoustics earlier in the aircraft propulsion system design process.

DoD's High Performance Computing Modernization Program would benefit from this computational tool that could provide them a useful tool for fan broadband noise prediction. Design engineers in engine manufacturers can use the developed computational tool to explore various noise reduction concepts and validate fast, low-fidelity analytical methods for trade-off studies and performance prediction.

This is early/mid-stage (TRL 4) — the most realistic path in is NASA SBIR/STTR, which funds small businesses and research institutions to develop technology aligned with NASA's needs (equity-free, phased funding). Check whether a current SBIR/STTR solicitation topic overlaps with this project's technology area, or contact the project directly (above) to ask.

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