Characterization and optimization of cutting depth in passive-compliant robotic belt grinding

Date

2024-12-30

Authors

Mata Cantón, Sara
Barrenetxea Azpeitia, David
Inziarte Hidalgo, Ibai

Director

Publisher

Springer
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

  • Gobierno de Navarra//0011-1408-2021-000021/
Impacto
OpenAlexGoogle Scholar
cited by count

Abstract

Robotic belt grinding offers numerous advantages, such as operational versatility and the ability to work in complex spaces. Its implementation in the modern industry aims to surpass manual grinding tasks and enhance overall productivity. Among these processes, compliant techniques offer adaptive solutions, where the tool can adapt to complex surfaces, besides providing more efficient grinding solutions for industrial applications. This paper focuses on an easy characterization of the cutting depth in a robotic belt grinding application using a portable passive-compliant tool. To this end, a cutting depth belt grinding model based on process parameters is presented. Experimental tests are conducted to correlate the depth of material removal with the belt wear behavior and analysis on Inconel 718 specimens. Then, the solution presented is validated through additional tests. Furthermore, the model is utilized for a productivity optimization that takes into account the belt wear, searching for optimal process variables that minimize cycle time.

Description

Keywords

Robotic grinding, Compliant grinding tool, Belt grinding, Grinding belt wear, Productivity optimization

Department

Ingeniería / Ingeniaritza / Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

item.page.cita

Torres-Izu, R., Aginaga, J., Mata, S., Barrenetxea, D., Inziarte, I. (2025). Characterization and optimization of cutting depth in passive-compliant robotic belt grinding. The International Journal of Advanced Manufacturing Technology, 136, 1659-1669. https://doi.org/10.1007/s00170-024-14957-y.

item.page.rights

© The Author(s) 2024. This article is licensed under a Creative Commons. Attribution 4.0 International License.

Licencia

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