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Št. zadetkov: 2
ǂA ǂdeep learning framework for full-field thermal field distribution prediction from digital image correlation strain measurements
Alen Grebo, Nejc Novak, Branislav Panić, Nikola Petrović, Lovre Krstulović-Opara
Izvirni znanstveni članek
Oznake: digitalna korelacija slik;infrardeča termografija;globoko učenje;termomehanska sklopka;napoved temperature celotnega polja;preslikava deformacije in temperature;regresija slike do slike;Digital Image Correlation (DIC);infrared thermography;U-net;deep learning;thermomechanical coupling;full-field temperature prediction;strain–temperature mapping;image to image regression;
Digital Image Correlation (DIC) and infrared thermography (IRT) are widely used for full-field experimental analysis of materials and structures; however, direct thermal measurements are often constrained by limited access, thermally opaque safety enclosures, or the availability of infrared equipmen ...
Leto: 2026 Vir: Fakulteta za strojništvo (UM FS)
Deformation behaviour of optimised three-dimensional axisymmetric chiral auxetic structures
Nejc Novak, Alen Grebo, Matej Borovinšek, Lovre Krstulović-Opara, Zoran Ren, Matej Vesenjak
Izvirni znanstveni članek
Oznake: avksetične strukture;osno simetrične kiralne strukture;3D tiskanje;mehansko testiranje;obnašanje materiala pri deformacijah;optimizacija;auxetic;axisymmetric chiral structures;3D printing;mechanical testing;deformation behaviour;optimisation;
Background/Objectives: Developing functional tissue constructs via 3D bioprinting relies heavily on scaffold architecture, demanding precise mechanical tunability and highresolution feature fidelity. Methods: This paper presents a novel approach utilising photocurable resins and resin 3D printing to ...
Leto: 2025 Vir: Fakulteta za strojništvo (UM FS)
Št. zadetkov: 2
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