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master's thesis
CFD analiza krutog jedra
2021. urn:nbn:hr:179:143445
Blažević, Karlo
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Mechanical Engineering and Naval Architecture

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Blažević, K. (2021). CFD analiza krutog jedra (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:143445

Blažević, Karlo. "CFD analiza krutog jedra." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:143445

Blažević, Karlo. "CFD analiza krutog jedra." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:143445

Blažević, K. (2021). 'CFD analiza krutog jedra', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:179:143445

Blažević K. CFD analiza krutog jedra [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:179:143445

K. Blažević, "CFD analiza krutog jedra", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:143445

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Metadata
TitleCFD analiza krutog jedra
AuthorKarlo Blažević
MentorIgor Pehnec https://orcid.org/0000-0002-7435-6654 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Mechanical Engineering and Naval Architecture)
Split
Defense date and country2021-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U prvom djelu diplomskog rada prikazana su moderna kruta jedra. Opisana je njihova primjena, podjela, povijest, evolucija i suvremeni trendovi. Analizirana je geometrija, parametri koji utječu na performanse i prikazana osnovna problematika. U drugom numeričkom djelu rada provedena je 2D CFD simulacija za različite kutove otklona pri rotaciji repa jedra. Uspoređivani su načini generiranja mreže elemenata i modeli turbulencije za različite oblike geometrije pri promjenjivim parametrima simulacije. Rezultati su prikazani preko krivulja koeficijenata uzgona na CL/α dijagramima. Radi boljeg predviđanja problema odvajanja graničnog sloja pri velikim napadnim kutovima koristi se Transition SST model turbulencije i modificira se mreža elemenata u zoni gdje se stvaraju vrtlozi. Na kraju rada u jednostavnom optimizacijskom modelu geometrija jedra je optimirana s ciljem postizanja najvećih vrijednosti uzgona i najmanjih otpora. Korištena je višeciljna optimizacija primjenom genetskih algoritama, te su rezultati prikazani preko pareto rješenja.
Abstract (english)
The first part of the thesis presents modern rigid sails. Their application, division, history, evolution and contemporary trends are described. The geometry, parameters that affect on the performance are analyzed and the basic issues are presented. In the second numerical part of the paper, a 2D CFD simulation was performed for different deflection angles during the rotation of the sail tail. Ways of generating a network of elements and models of turbulence for different forms of geometry with variable simulation parameters were compared. The results are presented via curves of lift coefficients on CL / α diagrams. In order to better predict the boundary layer separation problem at large angles of attack, the Transition SST turbulence model is used and the network of elements in the zone where vortices are created is modified. At the end of the work in a simple optimization model, the sail geometry is optimized with the aim of achieving the highest lift values and the lowest drag values. Multiple criteria optimization using genetic algorithms was used, and the results were presented via a Pareto solution
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:143445
Study programmeTitle: Mechanical Engineering; specializations in: Structures and Energy Technology, Computer Aided Design and Engineering, Production Mechanical Engineering
Course: Computer Aided Design and Engineering
Study programme type: university
Study level: graduate
Academic / professional title: Magistar/magistra inženjer/inženjerka strojarstva (Magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Public noteRad izrađen u suradnji s Brodosplit d.d.
Created on2022-10-20 07:53:31