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Design and simulation of a PK testbed for head impact evaluation

Published online by Cambridge University Press:  03 September 2021

José Luis Rueda Arreguín Open the ORCID record for José Luis Rueda Arreguín [Opens in a new window] ,
Marco Ceccarelli  and
Christopher René Torres-SanMiguel Open the ORCID record for Christopher René Torres-SanMiguel [Opens in a new window]
José Luis Rueda Arreguín
Affiliation:
Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, Sección de Estudios de Posgrado e Investigación, Unidad Zacatenco, 07738 Mexico City, Mexico Department of Industrial Engineering, Laboratory of Robot Mechatronics LARM2, University of Rome Tor Vergata, 00133 Rome, Italy
Marco Ceccarelli
Affiliation:
Department of Industrial Engineering, Laboratory of Robot Mechatronics LARM2, University of Rome Tor Vergata, 00133 Rome, Italy
Christopher René Torres-SanMiguel*
Affiliation:
Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, Sección de Estudios de Posgrado e Investigación, Unidad Zacatenco, 07738 Mexico City, Mexico
*
*Corresponding author. E-mail: ctorress@ipn.mx
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Abstract

This paper presents the design and simulation of a Parallel Kinematic (PK) testbed for head impacts. The proposed design is presented as a novel head impact testbed using a parallel platform as main motion simulation mechanism. The testbed is used to give a motion to a head mannequin to impact against a steel plate. In addition, the platform in the testbed allows to modify the orientation of the head mannequin model to evaluate different types of impacts. The testbed has been modeled with software MS ADAMS® to evaluate its performance with a dynamic simulation and to characterize the testbed design during top and lateral impact events. Results show that PK testbed gives a significant force and acceleration to the head mannequin at the moment of the impact.

Keywords

designparallel manipulatorshuman biomechanicsmechatronic systemsservices robots
Type
Research Article
Information
Robotica , Volume 40 , Issue 5 , May 2022 , pp. 1293 - 1308
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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