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Transformable parallel-serial manipulator for robotic machining

journal contribution
posted on 2024-11-02, 06:53 authored by Chow Yin Lai, David Ernesto Villacis Chavez, Songlin DingSonglin Ding
Robotic manipulators have been conventionally used for position-controlled tasks such as pick-and-place, spray painting and arc welding, where the tools do not experience contact forces from external objects. In recent years, however, there is an increasing interest in using robotic manipulators to perform machining work, for e.g. drilling, polishing, deburring and milling. This is due to the greater dexterity of robots as compared to that of CNC machines (6 axes vs. 3 or 5 axes), as well as the lower cost of industrial manipulators. Nevertheless, in such machining applications, the object exerts external forces onto the tools and thus onto the robots, and robots would generally deflect because of their low joint and link stiffness. This deflection prevents the tools from cutting, drilling or milling the objects into the correct depth, and therefore the dimension of the machined object would not be accurate. In this paper, a novel design of robotic manipulator is proposed, which combines the advantages of both parallel and serial robots, and is suitable for machining applications. The manipulator acts as a stiff parallel manipulator when carrying out machining tasks, but transforms into a serial articulated manipulator when maneuvering through a large area. Experimental results show that the proposed manipulator has a higher stiffness than a serial manipulator of the same size, and that it outperforms conventional serial robots in carrying out machining work.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1007/s00170-018-2170-z
  2. 2.
    ISSN - Is published in 14333015

Journal

The International Journal of Advanced Manufacturing Technology

Volume

97

Issue

5-8

Start page

2987

End page

2996

Total pages

10

Publisher

Springer

Place published

United Kingdom

Language

English

Copyright

© Springer-Verlag London Ltd., part of Springer Nature 2018

Former Identifier

2006083674

Esploro creation date

2020-06-22

Fedora creation date

2019-02-21

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