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Konstantinos G. Kyprianidis Module Development Table 3.7: Overview of implemented noise prediction methods. Fan and compressors Coaxial exhaust jet Turbine Airframe Noise propagation Installation effects on jet noise Contra-rotating rotors interaction tone noise Heidmann [171], and Kontos et al. [15] Stone and Krejsa [172], SAE ARP 876D [173] Krejsa and Valerino [174] Fink [175] SAE ARP 866A [176], Chien and Soroka [177], SAE AIR 1751 [178] Blackner and Bhat [179] Hanson [180], Whitfield et al. [181], Heidman [171], Kontos et al. [15] for the optimization investigation, and assumed to be sufficient to capture the noise trends correctly. The noise resulting from the semi-empirical models are projected down to the microphone position where the sound pressure levels are converted to effective perceived noise levels. The cumulative sum from the three ICAO certification points - sideline, flyover, and approach - is then estimated, which allows a subse- quent comparison of noise generated by a particular engine/aircraft combination with the noise regulations stipulated in Vol. 1 of the ICAO Annex 16 [66]. The existence of a code like the SOPRANO code within a tool like the TERA2020 tool makes it possible to study how new engine designs will behave under differ- ent noise regulations and taxation polices. TERA2020 may for instance single out designs that can satisfy stringent noise regulations (by delivering a low noise footprint) without a major block fuel penalty. 3.7 Conclusion The research effort presented in this chapter focused on various aspects of the development of new models and modules for NEWAC TERA2020, and the im- provement of existing ones. As a result of these efforts, TERA2020 has been significantly improved. In more detail the following improvements have taken 77PDF Image | Multi-disciplinary conceptual design of future jet engine systems
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