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Enhancing Extrusion Precision and Reliability in Robotic Multi-Axis Additive Manufacturing through Digital Twin Integration

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00379856" target="_blank" >RIV/68407700:21230/24:00379856 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/24:00379856

  • Result on the web

    <a href="https://doi.org/10.23919/ICCAS63016.2024.10773302" target="_blank" >https://doi.org/10.23919/ICCAS63016.2024.10773302</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/ICCAS63016.2024.10773302" target="_blank" >10.23919/ICCAS63016.2024.10773302</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Enhancing Extrusion Precision and Reliability in Robotic Multi-Axis Additive Manufacturing through Digital Twin Integration

  • Original language description

    In robotic multi-axis additive manufacturing, achieving high precision and consistency is crucial. This paper presents a comprehensive calibration procedure and optimization strategy for process parameters in a filament-based extruder mounted on an industrial robot. A digital twin of the manufacturing setup is utilized to simulate and validate the process, enabling precise adjustments and automation of code generation for robotic operations. Experimental calibration artifacts are produced and measured to verify the effectiveness of the proposed approach, highlighting the impact of variables such as hot-end temperature, layer height, and tool center point velocity on print quality. A laser tracker is employed to ensure precise measurement of calibration artifacts, enhancing the accuracy of the calibration process. The results highlight the potential for advancements in the precision and reliability of multi-axis additive manufacturing processes through systematic calibration and optimization, enabling the stable production of complex 3D-printed structures and reduced production waste.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 24th International Conference on Control, Automation and Systems

  • ISBN

    978-89-93215-38-0

  • ISSN

    1598-7833

  • e-ISSN

    2642-3901

  • Number of pages

    6

  • Pages from-to

    1326-1331

  • Publisher name

    IEEE Industrial Electronic Society

  • Place of publication

    Vienna

  • Event location

    Jeju

  • Event date

    Oct 29, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001432930500218