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Vizualizacija deformacijskih in napetostnih polj
ID Gregorc, Jaka (Author), ID Slavič, Janko (Mentor) More about this mentor... This link opens in a new window

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Abstract
Diplomska naloga rešuje problem fotorealistične vizualizacije deformacij in napetosti, dobljenih z metodo končnih elementov v Ansysu, v okolju Blender. Izvedena je bila statična analiza I-nosilca, izvoz geometrije in vozliščnih podatkov, rekonstrukcija s pomočjo Python skripte, animacija s pomočjo ključev oblike in barvna mapa ekvivalentnih napetosti. Optimizirane so bile svetlobne in render nastavitve ter izvedena digitalna korelacija slik (DIC) z algoritmom Lucas-Kanade v OpenCV. Rezultat je ponovljiv proces dela, ki omogoča natančno in vizualno bogato predstavitev numeričnih rezultatov.

Language:Slovenian
Keywords:fotorealistična vizualizacija, Ansys, Blender, napetostna polja, digitalna korelacija slik, Lucas-Kanade, Python skripte
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Year:2025
Number of pages:XI, 35 f.
PID:20.500.12556/RUL-171554 This link opens in a new window
ISBN:247403523
UDC:620.172.21:004.92:519.61(043.2)
Publication date in RUL:28.08.2025
Views:426
Downloads:170
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Secondary language

Language:English
Title:Visualization of strain and stress fields
Abstract:
The thesis deals with the problem of photorealistic visualization of strain and stress obtained by the finite element method in Ansys, in the Blender environment. A static analysis of the I-beam was performed, geometry and nodal data were exported, reconstruction was performed using a Python script, shape-keys animation, and a color map of equivalent stresses. Lighting and rendering settings were optimized, and Digital Image Correlation (DIC) was carried out using the Lucas-Kanade algorithm in OpenCV. The result is a repeatable work process that allows for an accurate and visually rich presentation of numerical results.

Keywords:photorealistic visualization, Ansys, Blender, stress fields, digital image correlation, Lucas-Kanade, Python scripts

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