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    Applications of the Modular Modelling Methodology to the Dynamic Analysis of Parallel Manipulators with Common Subsystems

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    Trabalho apresentado em evento
    Date
    2022
    Author
    Orsino, Renato Maia Matarazzo
    Hess-Coelho, Tarcisio Antonio
    Malvezzi, Fernando
    xmlui.dri2xhtml.METS-1.0.item-sponsorship
    FAPESP
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    Abstract
    Parallel manipulators offer advantages of high speed, precision and rigidity in comparison to serial robots, and these prospective benefits have attracted the attention of many researchers. One of the challenges related to the development of this class of manipulators is the derivation of the dynamic model. In fact, dynamic formulation used in parallel mechanisms is usually complex because of several independent kinematic chains which connect the end-effector to the base. The Modular Modelling Methodology (MMM) offers some advantages for modelling complex mechanical systems in comparison to the traditional ones. Basically MMM takes available models of subsystems as a starting point. Such models could have been derived from different types of formulations, being the result of prior investigations, testing and even validations. The purpose of this work is to highlight the benefits of MMM from the perspective of the user/analyst by applying the methodology to parallel mechanisms with similar topologies. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
    1. Dynamic modelling
    2. Modular modelling methodology
    3. Multibody systems
    4. Parallel mechanism
    5. Dynamics
    6. Industrial manipulators
    7. Kinematics
    8. Machine design
    9. Mechanisms
    10. Complex mechanical system
    11. Dynamic formulation
    12. High Speed
    13. Kinematic chain
    14. Modular modelling
    15. Parallel manipulators
    16. Parallel mechanisms
    17. Serial robots
    18. Manipulators
    URI
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113241545&doi=10.1007%2f978-3-030-83594-1_13&partnerID=40&md5=3961fa1998c5a6eda4a63e49599426ae
    https://repositorio.maua.br/handle/MAUA/687
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