Multidisciplinary Design Optimization and Analysis of an Open Rotor Stage: Part 1

Kristopher Pierson; Matthew Ha; John Gillespie; Justine Holder

NASA NTRS · 20260007955

Multidisciplinary Design Optimization and Analysis of an Open Rotor Stage: Part 1

Kristopher Pierson·Matthew Ha·John Gillespie·Justine Holder

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Abstract

Successful design of open rotor propulsors requires effective analysis across multiple disciplines, including aerodynamics, acoustics, and structures. A viable design must not only be efficient but must also produce an acceptable level of noise and meet all static and dynamic structural requirements. For design and optimization, this is especially challenging because running high fidelity analyses is resource-intensive, and optimizing a design may require many thousands of cases to be analyzed. For this reason, the NASA team has applied design methodology that utilizes low-cost aerodynamic methods, machine learning models, and high-fidelity analyses when necessary. This includes standard two-dimensional methods such as throughflow analysis and quasi-3D blade-to-blade CFD, as well as some newly developed methods. Optimization using 3D CFD is necessary to maximize performance, and this is considered as well. All optimizations are carried out subject to structural constraints evaluated using finite element analysis. Doing this accurately requires a robust trunnion design, capable of pitching the blade between cruise and takeoff conditions while maintaining acceptable factor of safety. Hot to cold analysis must also be applied in order to correctly determine the as-manufactured shape. For acoustics, the unsteady pressures on the blade surfaces must be predicted, and this can be done either through full-annulus unsteady CFD or through a nonlinear harmonic method (NLH). NLH can run much faster, allowing some acoustic considerations to be made earlier in the design process. The design process is ongoing, and this presentation will review the current status and planned next steps. This part of the talk will focus on aerodynamic performance and be followed by a talk on structures and acoustics.

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Design Surrogate Modeling Bayesian Optimization Turbomachinery Rotating Machinery FEA Finite Element Analysis Optimization

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BibTeX RIS

Kristopher Pierson, Matthew Ha, John Gillespie, Justine Holder. Multidisciplinary Design Optimization and Analysis of an Open Rotor Stage: Part 1. https://ntrs.nasa.gov/citations/20260007955

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Bayesian Optimization subject DESIGN subject Optimization subject Rotating Machinery subject Surrogate Modeling subject Turbomachinery subject

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