Reconstruction of 3D Models of Fishing Boat Propellers Using Photogrammetry and Reverse Engineering Techniques
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13420%2F24%3A43898860" target="_blank" >RIV/44555601:13420/24:43898860 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001390136800010" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001390136800010</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21062/mft.2024.091" target="_blank" >10.21062/mft.2024.091</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Reconstruction of 3D Models of Fishing Boat Propellers Using Photogrammetry and Reverse Engineering Techniques
Popis výsledku v původním jazyce
The conventional method for measuring propeller geometric parameters involves utilizing specialized equipment or 3D measuring devices. Currently, specific propeller geometry parameters can be assessedby employing virtual measurements performed on a virtual propeller model generated using reverse engineering methods. This paper introduces a novel approach to constructing 3D models of small fishingboat propellers using photogrammetry and reverse engineering techniques. In this method, the propeller is captured through photographs taken with a smartphone camera employing special techniques. Subsequently, these images are processed using Agisoft Metashape to generate a mesh model, from which a precise photogrammetric model of the propeller is developed using CATIA. By comparing the photogrammetric model with the scanned model in GOM Inspect, and evaluating the measurement outcomes of blade radius and pitch on virtual and physical models, it is possible to ascertain that the photogrammetric model exhibits exceptional accuracy. Consequently, the photogrammetric model can be effectively utilized for the measurement of propeller geometric parameters
Název v anglickém jazyce
Reconstruction of 3D Models of Fishing Boat Propellers Using Photogrammetry and Reverse Engineering Techniques
Popis výsledku anglicky
The conventional method for measuring propeller geometric parameters involves utilizing specialized equipment or 3D measuring devices. Currently, specific propeller geometry parameters can be assessedby employing virtual measurements performed on a virtual propeller model generated using reverse engineering methods. This paper introduces a novel approach to constructing 3D models of small fishingboat propellers using photogrammetry and reverse engineering techniques. In this method, the propeller is captured through photographs taken with a smartphone camera employing special techniques. Subsequently, these images are processed using Agisoft Metashape to generate a mesh model, from which a precise photogrammetric model of the propeller is developed using CATIA. By comparing the photogrammetric model with the scanned model in GOM Inspect, and evaluating the measurement outcomes of blade radius and pitch on virtual and physical models, it is possible to ascertain that the photogrammetric model exhibits exceptional accuracy. Consequently, the photogrammetric model can be effectively utilized for the measurement of propeller geometric parameters
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Manufacturing Technology
ISSN
1213-2489
e-ISSN
2787-9402
Svazek periodika
24
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
8
Strana od-do
952-959
Kód UT WoS článku
001390136800010
EID výsledku v databázi Scopus
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