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Digitalization of a standard robot arm toward 4th industrial revolution

  • Gustavo Franco BarbosaEmail author
  • Sidney Bruce Shiki
  • José Otávio Savazzi
ORIGINAL ARTICLE
  • 36 Downloads

Abstract

Increasing the productivity while maintaining the quality of manufactured products is essential in the present industrial context. In this sense, the use of robotic devices in manufacturing facilities is increasing due to the advantages related to flexibility, repeatability, and low-cost, when compared to machining centers. However, a lack of digital connectivity between machines within the manufacturing system is a fact. Thus, in this paper, a low-cost instrumentation, sensing, and cloud technologies are proposed to monitor robotized manufacturing processes by digitalization of traditional robot arms. As a case study, a drilling process of different aircraft materials is performed to prove the digital integration. So, the results showed an interesting potential of the proposed methodology, especially in the case of material removal processes performed by robotized cells that are still challenging for conventional robots due to the lack of rigidity of their components.

Keywords

Low-cost instrumentation Robotic drilling Process monitoring Industry 4.0 

Notes

Acknowledgements

The first author would like to thank the National Council for Scientific and Technological Development (CNPq) for his technological productivity fellowship (process 314516/2018-2). Also, the authors would like to thank Nova Tecnologia, OSG Sulamerica and Latam MRO companies for providing supports to the current research, and the Metrology Laboratory of Engineering School of Sao Carlos (EESC – USP) for the assistance in the measurements of geometric tolerances.

Funding information

This research project received financial support from CNPq Universal (grant 432002/2018-9).

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Gustavo Franco Barbosa
    • 1
    Email author
  • Sidney Bruce Shiki
    • 1
  • José Otávio Savazzi
    • 2
  1. 1.UFSCar - Federal University of São CarlosSão CarlosBrazil
  2. 2.EESC - USP, São Carlos School of EngineeringUniversity of São PauloSão CarlosBrazil

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