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Workpiece position optimisation in robotic multi-axis machining

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F25%3A00378740" target="_blank" >RIV/68407700:21220/25:00378740 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.rineng.2025.106421" target="_blank" >https://doi.org/10.1016/j.rineng.2025.106421</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.rineng.2025.106421" target="_blank" >10.1016/j.rineng.2025.106421</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Workpiece position optimisation in robotic multi-axis machining

  • Original language description

    The use of robots for machining is becoming more and more common in industrial robotics applications. The advantages include lower acquisition costs compared to CNC machines and a larger working space with respect to the machine footprint. The disadvantages are low static stiffness and the risk that the robot structure will emit low-frequency vibrations during the machining operation. Both of these phenomena negatively affect the accuracy and quality of the machined part. In this paper, a mathematical model of the static stiffness of an industrial robot is developed from experimentally measured data, and further implemented in the off-line preparation of a robot control programme. By determining the directional stiffness during machining operations and calculating an integral stiffness criterion for a given robot configuration and workpiece position in the workspace, a genetic algorithm is used to find the optimal part position and robot end-effectors' redundant angle of rotation. The model’s validity and accuracy are verified by a five-axis machining experiment. The results of measuring the quality of the surfaces machined in the default and optimised workpiece positions clearly show the effectiveness of the proposed method.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

    <a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Results in Engineering

  • ISSN

    2590-1230

  • e-ISSN

    2590-1230

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    September

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    18

  • Pages from-to

    1-18

  • UT code for WoS article

    001542127700014

  • EID of the result in the Scopus database

    2-s2.0-105011599072