Preliminary Design of Aero-Engine Intake Acoustic Liners by Means of the Multi-Objective Approach

Copiello, Diego; Ferrante, Piergiorgio; Iemma, Umberto; Maci, Adriano

doi:10.2514/6.2010-3828

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Despite this, aircraft system noise prediction is an analytically tractable problem. Indeed, liners have been designed using local noy-weighting [9] or certification noise metrics as a minimization objective (e.g., [10][11][12]). But these methods do not appear to have been developed using configurable, open-source, freely-available, optimization software to attenuate arbitrary hardwall noise sources, nor have they been implemented using analytic derivatives.…”

Section: Introductionmentioning

confidence: 99%

A Requirements-Driven Optimization Method for Acoustic Liners using Analytic Derivatives

Berton

Lopes

2017

23rd AIAA/CEAS Aeroacoustics Conference

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More than ever, there is flexibility and freedom in acoustic liner design. Subject to practical considerations, liner design variables may be manipulated to achieve a target attenuation spectrum. But characteristics of the ideal attenuation spectrum can be difficult to know. Many multidisciplinary system effects govern how engine noise sources contribute to community noise. Given a hardwall fan noise source to be suppressed, and using an analytical certification noise model to compute a community noise measure of merit, the optimal attenuation spectrum can be derived using multidisciplinary systems analysis methods. In a previous paper on this subject, a method deriving the ideal target attenuation spectrum that minimizes noise perceived by observers on the ground was described. A simple code-wrapping approach was used to evaluate a community noise objective function for an external optimizer. Gradients were evaluated using a finite difference formula. The subject of this paper is an application of analytic derivatives that supply precise gradients to an optimization process. Analytic derivatives improve the efficiency and accuracy of gradient-based optimization methods and allow consideration of more design variables. In addition, the benefit of variable impedance liners is explored using a multi-objective optimization.

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Section: Introductionmentioning

confidence: 99%

A Requirements-Driven Optimization Method for Acoustic Liners using Analytic Derivatives

Berton

Lopes

2017

23rd AIAA/CEAS Aeroacoustics Conference

View full text Add to dashboard Cite

show abstract

“…Despite this, aircraft system noise prediction is an analytically tractable problem. Indeed, liners have been designed to minimize noy levels (i.e., noise levels adjusted for perceived noisiness) [8] or certification noise metrics as a minimization objective (e.g., [9][10][11]). But, these methods do not appear to have been developed using configurable open-source freely available, optimization software to attenuate arbitrary hardwall noise sources.…”

mentioning

confidence: 99%