Fully automated tool path planning for turbine blade repair

Sven Friebe; Berend Denkena; Marcel Wichmann

doi:10.1016/j.procir.2023.08.003

Fully automated tool path planning for turbine blade repair

Sven Friebe^*
, Berend Denkena
, Marcel Wichmann

^*Korrespondierende*r Autor*in für diese Arbeit

Institut für Fertigungstechnik und Werkzeugmaschinen

Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review

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.

Originalsprache	Englisch
Seiten (von - bis)	9-14
Seitenumfang	6
Fachzeitschrift	Procedia CIRP
Jahrgang	120
DOIs	https://doi.org/10.1016/j.procir.2023.08.003
Publikationsstatus	Veröffentlicht - 2023
Veranstaltung	56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023 - Cape Town, Südafrika Dauer: 24 Okt. 2023 → 26 Okt. 2023

ASJC Scopus Sachgebiete

Steuerungs- und Systemtechnik
Wirtschaftsingenieurwesen und Fertigungstechnik

Zugriff auf Dokument

10.1016/j.procir.2023.08.003Lizenz: CC BY-NC-ND 4.0

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Sonderforschungsbereich 871/3, Transferprojekt T04: Automatisierte Rekonturierung von Fan Blades
Denkena, B. (Projektleiter*in (Principal Investigator))
1 Jan. 2019 → 30 Juni 2022
Projekt: Transfer

Dieses zitieren

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title = "Fully automated tool path planning for turbine blade repair",

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",

author = "Sven Friebe and Berend Denkena and Marcel Wichmann",

note = "Funding Information: The authors are grateful for the support within the Collaborative Research Centre 871 {\textquoteleft}Regeneration of complex durable goods{\textquoteright}, 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). ; 56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023 ; Conference date: 24-10-2023 Through 26-10-2023",

year = "2023",

doi = "10.1016/j.procir.2023.08.003",

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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 - https://www.scopus.com/pages/publications/85184588773

U2 - 10.1016/j.procir.2023.08.003

DO - 10.1016/j.procir.2023.08.003

M3 - Conference article

AN - SCOPUS:85184588773

SN - 2212-8271

VL - 120

SP - 9

EP - 14

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023

Y2 - 24 October 2023 through 26 October 2023

ER -

Fully automated tool path planning for turbine blade repair

Abstract

ASJC Scopus Sachgebiete

Zugriff auf Dokument

Andere Dateien und Links

Projekte

Sonderforschungsbereich 871/3, Transferprojekt T04: Automatisierte Rekonturierung von Fan Blades

Dieses zitieren