Details
| Original language | English |
|---|---|
| Pages (from-to) | 9-14 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 120 |
| Publication status | Published - 2023 |
| Event | 56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023 - Cape Town, South Africa Duration: 24 Oct 2023 → 26 Oct 2023 |
Abstract
The recontouring process of aircraft engine parts like turbine blades is a manual or in best-case semi-automated process due to high individuality of the workpiece. This leads to in-process scrap because of low process stability and high process times. An automation of process planning reduces both. This paper introduces a method for a fully automated and individual tool path planning using 3D-scan data. Geometric parameters of the degenerated blade were considered to find best-suitable target geometry in a robust way. For turbine blade repair, the process stability is increased while meeting the dimensional tolerances required for the international aviation certifications.
Keywords
- Automation, Computer automated process planning (CAPP), Geometric modelling, Reverse engineering, Simulation, Tool path, Turbine blade
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 120, 2023, p. 9-14.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Fully automated tool path planning for turbine blade repair
AU - Friebe, Sven
AU - Denkena, Berend
AU - Wichmann, Marcel
N1 - Funding Information: The authors are grateful for the support within the Collaborative Research Centre 871 ‘Regeneration of complex durable goods’, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 871/3 – 119193472. The results of this work were mainly created in the sub-project C1 [19] and the transfer project T6. Moreover, the authors thank the DFG for the financial support within the Priority Program 1480 and the Institute of Turbomachinery and Fluid Dynamics (TFD).
PY - 2023
Y1 - 2023
N2 - The recontouring process of aircraft engine parts like turbine blades is a manual or in best-case semi-automated process due to high individuality of the workpiece. This leads to in-process scrap because of low process stability and high process times. An automation of process planning reduces both. This paper introduces a method for a fully automated and individual tool path planning using 3D-scan data. Geometric parameters of the degenerated blade were considered to find best-suitable target geometry in a robust way. For turbine blade repair, the process stability is increased while meeting the dimensional tolerances required for the international aviation certifications.
AB - The recontouring process of aircraft engine parts like turbine blades is a manual or in best-case semi-automated process due to high individuality of the workpiece. This leads to in-process scrap because of low process stability and high process times. An automation of process planning reduces both. This paper introduces a method for a fully automated and individual tool path planning using 3D-scan data. Geometric parameters of the degenerated blade were considered to find best-suitable target geometry in a robust way. For turbine blade repair, the process stability is increased while meeting the dimensional tolerances required for the international aviation certifications.
KW - Automation
KW - Computer automated process planning (CAPP)
KW - Geometric modelling
KW - Reverse engineering
KW - Simulation
KW - Tool path
KW - Turbine blade
UR - http://www.scopus.com/inward/record.url?scp=85184588773&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2023.08.003
DO - 10.1016/j.procir.2023.08.003
M3 - Conference article
AN - SCOPUS:85184588773
VL - 120
SP - 9
EP - 14
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023
Y2 - 24 October 2023 through 26 October 2023
ER -