Robotic belt finishing with process control for accurate surfaces

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Date
2023Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión publicada / Argitaratu den bertsioa
Project Identifier
Gobierno de Navarra//0011-1408-2021-000021
Impact
|
10.3390/jmmp7040124
Abstract
The aerospace industry still relies on manual processes for finish applications, which can be a tedious task. In recent years, robotic automation has gained interest due to its flexibility and adaptability to provide solutions to this issue. However, these processes are difficult to automate, as the material removal rate can vary due to changes in the process variables. This work proposes an appr ...
[++]
The aerospace industry still relies on manual processes for finish applications, which can be a tedious task. In recent years, robotic automation has gained interest due to its flexibility and adaptability to provide solutions to this issue. However, these processes are difficult to automate, as the material removal rate can vary due to changes in the process variables. This work proposes an approach for automatically modeling the material removal process based on experimental data in a robotic belt grinding application. The methodology concerns the measurement of the removed mass of a test part during a finishing process using an automatic precision measurement system. Then, experimental models are used to develop a control algorithm for continuous material removal that maintains a uniform finishing process by regulating the robot’s feed rate. Next, the results for various experimental material removal models under different process conditions are presented, showing the process parameter’s influence on the removal capacity. Finally, the proposed control algorithm is validated, achieving a constant material removal rate. [--]
Subject
Robot,
Finishing,
Control,
Material removal rate,
Robotic belt grinding
Publisher
MDPI
Published in
Journal of Manufacturing and Materials Processing 2023, 7(4)
Departament
Universidad Pública de Navarra. Departamento de Ingeniería /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Saila
Publisher version
Sponsorship
This research was funded by the EUROSTARS GRINDBOT project (grant number E!115077) and the Government of Navarre Doctorados Industriales program (grant number 0011-1408-2021-000021).