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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