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Title Computational Analysis and Geometric Optimization of a Convergent-Divergent Nozzle for Maximum Thrust Efficiency: выпускная квалификационная работа магистра: направление 13.04.01 «Теплоэнергетика и теплотехника» ; образовательная программа 13.04.01_03 «Тепловые электрические станции (международная образовательная программа) / Power Plant Engineering (International Educational Program)»
Creators Мушарраф Сайед Фаик
Scientific adviser Басати Панах Мехди
Organization Санкт-Петербургский политехнический университет Петра Великого. Институт энергетики
Imprint Санкт-Петербург, 2026
Collection Выпускные квалификационные работы ; Общая коллекция
Subjects supersonic nozzle ; method of characteristics ; prandtl-meyer function ; rao bell nozzle ; conical nozzle ; thrust coefficient ; compressible flow
Document type Master graduation qualification work
Language Russian
Level of education Master
Speciality code (FGOS) 13.04.01
Speciality group (FGOS) 130000 - Электро- и теплоэнергетика
DOI 10.18720/SPBPU/3/2026/vr/vr26-5577
Rights Доступ по паролю из сети Интернет (чтение)
Additionally New arrival
Record key ru\spstu\vkr\44841
Record create date 9/4/2026

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This study presents a comparative analysis of three supersonic nozzle geometries: the conical nozzle, the Rao Thrust-Optimized Parabolic (TOP) bell nozzle, and a Method of Characteristics (MOC) contour. All three were evaluated under identical sea-level ambient conditions (Pamb = 101,325 Pa), placing each in an over-expanded operating state. The conical nozzle serves as the aerodynamic baseline, with a divergence loss of 1.7% at a 15° half-angle. The MOC contour was generated using a custom MATLAB solver incorporating the Prandtl-Meyer function and Riemann invariants (K+, K⁻), producing theoretically shock-free exit flow that represents the inviscid performance ceiling. The Rao bell nozzle recovers most of this performance advantage at roughly 80% of the equivalent conical length. High-fidelity CFD simulations were conducted using a 2D axisymmetric density-based solver with the k-ω SST turbulence model. The MOC nozzle achieves the highest thrust coefficient, followed by the Rao nozzle. At NPR = 100 and ε = 13.42, the Rao nozzle yields CF = 1.5174 against CF = 1.5048 for the conical baseline. Boundary-layer analysis reveals an approximate 3% Mach deficit at the MOC nozzle exit, highlighting the importance of viscous corrections in accurate performance prediction.

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