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Master's Thesis
Author of thesis: Bc. Darek Goliáš
Acad. year: 2025/2026
Supervisor: Mgr. Monika Dosoudilová, Ph.D.
Reviewer: Ing. et Ing. Stanislav Lang, Ph.D.
This thesis deals with the design and optimization of the internal geometry of an air-driven oscillating nozzle intended for contactless positioning and rotation of industrial components. The oscillating nozzle exploits the Coanda effect and a feedback mechanism to generate a spatially oscillating air jet without any moving mechanical parts, using compressed air at 8 bar as the working medium. The problem is formulated as a shape optimization over a six-dimensional design space defined by key geometric parameters of the oscillation chamber and feedback channels. Due to the high computational cost of transient CFD simulations performed using the URANS approach with the k--$\omega$ SST turbulence model, the optimization is carried out in two stages. In the first stage, the design space is sampled using Advanced Latin Hypercube Sampling and a surrogate model is constructed via the Metamodel of Optimal Prognosis algorithm. In the second stage, an evolutionary algorithm is applied to this computationally inexpensive model, enabling the evaluation of hundreds of thousands of geometric variants within a feasible time frame. The objective functions are defined as the root mean square of the transverse velocity component and dynamic pressure, respectively, monitored in the target region downstream of the nozzle exit. Optimization results are verified by full transient CFD simulations. The optimized geometry is manufactured using FDM additive manufacturing from ASA thermoplastic and its functionality is experimentally assessed on a dedicated test bench.
oscillating nozzle, fluidic oscillator, Coanda effect, airborne part positioning, CFD simulation, URANS, k–𝜔 SST, shape optimization, evolutionary algorithm, surrogate model, Latin Hypercube Sampling, additive manufacturing
Date of defence
09.06.2026
Result of the defence
Defended (thesis was successfully defended)
Grading
A
Process of defence
Student obeznámil komisi s výsledky své DP. Po přečtení posudků následovaly dotazy oponenta (viz posudek) a komise: 3D tiskárna, dotaz na konstantní teplotu. Účelová funkce, která by vznikla kombinací 2 navržených. Genetický algoritmus byl vlastní resp. Ansys. Náhradní model vzešel z kolika testů. Kolik testů bylo v evolučním algoritmu. Tlakové omezení. Rychlost a přesnost náhradního řešení. Dotaz na finále optimalizace. Student reagoval na všechny dotazy velmi uspokojivě. Práce komisi velmi zaujala a doporučuje práci na CPP.
Language of thesis
Czech
Faculty
Fakulta strojního inženýrství
Department
Institute of Automation and Computer Science
Study programme
Applied Computer Science and Control (N-AIŘ-P)
Composition of Committee
doc. Ing. Oldřich Trenz, Ph.D. (předseda) doc. Ing. Jakub Kůdela, Ph.D. (místopředseda) prof. Ing. Zdeněk Hadaš, Ph.D. (člen) doc. Ing. Pavel Škrabánek, Ph.D. (člen) doc. Ing. David Fojtík, Ph.D. (člen) prof. Ing. Jiří Jaroš, Ph.D. (člen) doc. Ing. Miloš Hammer, CSc. (člen)
Supervisor’s reportMgr. Monika Dosoudilová, Ph.D.
Grade proposed by supervisor: A
Reviewer’s reportIng. et Ing. Stanislav Lang, Ph.D.
Grade proposed by reviewer: A
Responsibility: Mgr. et Mgr. Hana Odstrčilová