Master Degree / Yüksek Lisans Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/11147/3008

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Author: search.filters.author.Çetkin, ErdalInstitution Author: search.filters.institutionAuthor.Konan, Hasel Çiçek

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  • Master Thesis
    Snowflake Shaped High Conductivity Inserts for Heat Transfer Enhancement
    (Izmir Institute of Technology, 2018) Konan, Hasel Çiçek; Çetkin, Erdal; Çetkin, Erdal; 03.10. Department of Mechanical Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    In this study we show numerically how thermal resistance in a two-dimensional domain with a point heat source can be reduced with embedded high-conductivity snowflake shaped pathways. The external shape of the domain is square, and its boundaries are adiabatic. Rectangular fins were used as high-conductivity pathways in order to minimize maximum excess temperature (Tmax). The geometry of the inserted pathways was optimized with consideration of Constructal Theory for minimum Tmax. In the first assembly, optimum number of mother (big) fins was uncovered as the area fraction increases. The results of the first assembly indicate that the increase in the number of mother fins does not increase heat transfer after a limit number for the fins, i.e., optimum number of mother fins exits. After uncovering the mother pathway geometry corresponding to the minimum Tmax, the daughter (small) fins inserted at the tip of them, i.e. second assembly. In the second assembly, the fin ratios, small fin location and angle between daughter fins were discovered when the area fraction is fixed. In addition, in the third assembly, larger daughter fins were attached to mother fins. The results of the second and third assemblies document what should be the geometric length scales and the number of daughter fins in order to minimize Tmax. The optimized design uncovers that the fins should be designed similar to snowflake shape. Therefore, the results also uncover snowflakes correspond to the designs with minimum thermal conductivity, i.e., not mimicking the nature but understanding it with physics.