Holistic process planning chain for robot machining

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Berend Denkena
  • Jan Brüning
  • Lars Windels
  • Dirk Euhus
  • Stefan Kirsch
  • Daniel Overbeck
  • Thomas Lepper

Externe Organisationen

  • SWMS Systemtechnik Ingenieurgesellschaft mbH
  • Artis GmbH
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)715-722
Seitenumfang8
FachzeitschriftProduction Engineering
Jahrgang11
Ausgabenummer6
PublikationsstatusVeröffentlicht - 3 Nov. 2017

Abstract

Today, machining of large, integral constructed structural parts requires expensive machining centers. In contrast, modern industrial robots are suitable for a wide field of applications and are characterized large working spaces and low capital investment. Therefore, they provide high economical potential for machining applications in aerospace industry, especially for the machining of near to shape pre-products like extruded profiles. However, their constructive characteristics like low stiffness and high sensitivity to vibrations lead to disadvantages compared with conventional machining centers and have to be considered during process planning. Therefore, several methods for offline and online optimization of robot machining processes were developed and integrated in a new process chain for manufacturing of structural fuselage parts. Thereby, the conventional CAD–CAM process planning chain was extended with simulation based analysis and optimization methods and a load-depending trajectory planning. These methods for offline process optimization within this novel process chain are presented in this paper.

ASJC Scopus Sachgebiete

Zitieren

Holistic process planning chain for robot machining. / Denkena, Berend; Brüning, Jan; Windels, Lars et al.
in: Production Engineering, Jahrgang 11, Nr. 6, 03.11.2017, S. 715-722.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Denkena, B, Brüning, J, Windels, L, Euhus, D, Kirsch, S, Overbeck, D & Lepper, T 2017, 'Holistic process planning chain for robot machining', Production Engineering, Jg. 11, Nr. 6, S. 715-722. https://doi.org/10.1007/s11740-017-0771-2
Denkena, B., Brüning, J., Windels, L., Euhus, D., Kirsch, S., Overbeck, D., & Lepper, T. (2017). Holistic process planning chain for robot machining. Production Engineering, 11(6), 715-722. https://doi.org/10.1007/s11740-017-0771-2
Denkena B, Brüning J, Windels L, Euhus D, Kirsch S, Overbeck D et al. Holistic process planning chain for robot machining. Production Engineering. 2017 Nov 3;11(6):715-722. doi: 10.1007/s11740-017-0771-2
Denkena, Berend ; Brüning, Jan ; Windels, Lars et al. / Holistic process planning chain for robot machining. in: Production Engineering. 2017 ; Jahrgang 11, Nr. 6. S. 715-722.
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title = "Holistic process planning chain for robot machining",
abstract = "Today, machining of large, integral constructed structural parts requires expensive machining centers. In contrast, modern industrial robots are suitable for a wide field of applications and are characterized large working spaces and low capital investment. Therefore, they provide high economical potential for machining applications in aerospace industry, especially for the machining of near to shape pre-products like extruded profiles. However, their constructive characteristics like low stiffness and high sensitivity to vibrations lead to disadvantages compared with conventional machining centers and have to be considered during process planning. Therefore, several methods for offline and online optimization of robot machining processes were developed and integrated in a new process chain for manufacturing of structural fuselage parts. Thereby, the conventional CAD–CAM process planning chain was extended with simulation based analysis and optimization methods and a load-depending trajectory planning. These methods for offline process optimization within this novel process chain are presented in this paper.",
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AU - Denkena, Berend

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AU - Windels, Lars

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AU - Kirsch, Stefan

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AU - Lepper, Thomas

N1 - Funding information: This work has been funded by the Ministry of Economics, Labour and Transport of Lower Saxony within the project Inno ex (ZW3-80134969, ZW3-80134960 and ZW3-80134966). The authors would like to thank the federal state of Lower Saxony for their financial support of this project.

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N2 - Today, machining of large, integral constructed structural parts requires expensive machining centers. In contrast, modern industrial robots are suitable for a wide field of applications and are characterized large working spaces and low capital investment. Therefore, they provide high economical potential for machining applications in aerospace industry, especially for the machining of near to shape pre-products like extruded profiles. However, their constructive characteristics like low stiffness and high sensitivity to vibrations lead to disadvantages compared with conventional machining centers and have to be considered during process planning. Therefore, several methods for offline and online optimization of robot machining processes were developed and integrated in a new process chain for manufacturing of structural fuselage parts. Thereby, the conventional CAD–CAM process planning chain was extended with simulation based analysis and optimization methods and a load-depending trajectory planning. These methods for offline process optimization within this novel process chain are presented in this paper.

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KW - Process monitoring

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