Data Preparing for Reverse Engineering
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F23%3A43968882" target="_blank" >RIV/49777513:23210/23:43968882 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scientific.net/AST.132.320" target="_blank" >https://www.scientific.net/AST.132.320</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4028/p-82P5tV" target="_blank" >10.4028/p-82P5tV</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Data Preparing for Reverse Engineering
Popis výsledku v původním jazyce
Reverse engineering, or the creation of models from physic al objects, is increasingly being used in many industries including manufacturing, automotive design, and computer animation. The presented work focuses on the issue of data preparation for reverse engineering. The aim of the thesis is to map the issues of working with the Zeiss LineScan optical sensor on a 3D coordinate measuring machine in the metrology laboratory of the Regional Institute of Technology at the University of West Bohemia. The aim of the work was to map the software setting options supplied by the sensor manufacturer. The sensor can obtain clouds of three types of points: RSL (Raw Scan Lines - measured points, directly recorded by the scanner, without further adjustments), GSL (Gridded Scan Lines - points reduced and grouped into a grid of a given step), and QSP (Qualified Surface points - compressed and grouped points into a given grid).The evaluation of the experiment revealed the ideal setting for the specified measurement conditions. Reference objects with nominal lengths of 100 mm and 500 mm were chosen. The data required for evaluating each sensor setting were obtained through a series of measurements of these objects. The output of the experiment is a comparison of each option for setting up the scanning method. GSL points with a step setting of 0.1 mm were evaluated as the most suitable setting for measuring objects with similar shapes. They showed stable deviations within the selected tolerance of ± 0.03 mm for all measurement variations. RSL and QSP points, on the other hand, showed less stability of deviations across the measurements.
Název v anglickém jazyce
Data Preparing for Reverse Engineering
Popis výsledku anglicky
Reverse engineering, or the creation of models from physic al objects, is increasingly being used in many industries including manufacturing, automotive design, and computer animation. The presented work focuses on the issue of data preparation for reverse engineering. The aim of the thesis is to map the issues of working with the Zeiss LineScan optical sensor on a 3D coordinate measuring machine in the metrology laboratory of the Regional Institute of Technology at the University of West Bohemia. The aim of the work was to map the software setting options supplied by the sensor manufacturer. The sensor can obtain clouds of three types of points: RSL (Raw Scan Lines - measured points, directly recorded by the scanner, without further adjustments), GSL (Gridded Scan Lines - points reduced and grouped into a grid of a given step), and QSP (Qualified Surface points - compressed and grouped points into a given grid).The evaluation of the experiment revealed the ideal setting for the specified measurement conditions. Reference objects with nominal lengths of 100 mm and 500 mm were chosen. The data required for evaluating each sensor setting were obtained through a series of measurements of these objects. The output of the experiment is a comparison of each option for setting up the scanning method. GSL points with a step setting of 0.1 mm were evaluated as the most suitable setting for measuring objects with similar shapes. They showed stable deviations within the selected tolerance of ± 0.03 mm for all measurement variations. RSL and QSP points, on the other hand, showed less stability of deviations across the measurements.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Advances in Science and Technology
ISBN
978-3-0364-0424-0
ISSN
1662-8969
e-ISSN
—
Počet stran výsledku
10
Strana od-do
320-329
Název nakladatele
Trans Tech Publications Ltd
Místo vydání
Baech
Místo konání akce
Sevilla
Datum konání akce
28. 6. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—