Prediction of part distortion in re-contouring processes

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Original languageEnglish
Pages (from-to)25-35
Number of pages11
JournalCIRP Journal of Manufacturing Science and Technology
Volume29
Issue numberPart A
Early online date13 Apr 2020
Publication statusPublished - May 2020

Abstract

An important step in turbine repair is the re-contouring process as it determines part and surface properties. Re-contouring is performed subsequently to the material deposit and has to be adapted to each repair case individually. Especially, part distortion is a crucial aspect in terms of quality and has to be considered in process design. This paper introduces a novel method for evaluation of re-contouring processes regarding part quality and, especially, part distortion. For this purpose, a simulation model for calculating local cutting conditions is introduced and validated experimentally. The validation is carried out for a thin-walled analogue part. The results reveal a clear dependency between the absolute part distortion and the surface generating cut volume (SGCV).

Keywords

    Milling, Part distortion, Quality, Re-contouring, Simulation

ASJC Scopus subject areas

Cite this

Prediction of part distortion in re-contouring processes. / Böß, V.; Rust, F.; Denkena, B. et al.
In: CIRP Journal of Manufacturing Science and Technology, Vol. 29, No. Part A, 05.2020, p. 25-35.

Research output: Contribution to journalArticleResearchpeer review

Böß, V, Rust, F, Denkena, B & Dittrich, MA 2020, 'Prediction of part distortion in re-contouring processes', CIRP Journal of Manufacturing Science and Technology, vol. 29, no. Part A, pp. 25-35. https://doi.org/10.1016/j.cirpj.2020.01.006
Böß, V., Rust, F., Denkena, B., & Dittrich, M. A. (2020). Prediction of part distortion in re-contouring processes. CIRP Journal of Manufacturing Science and Technology, 29(Part A), 25-35. https://doi.org/10.1016/j.cirpj.2020.01.006
Böß V, Rust F, Denkena B, Dittrich MA. Prediction of part distortion in re-contouring processes. CIRP Journal of Manufacturing Science and Technology. 2020 May;29(Part A):25-35. Epub 2020 Apr 13. doi: 10.1016/j.cirpj.2020.01.006
Böß, V. ; Rust, F. ; Denkena, B. et al. / Prediction of part distortion in re-contouring processes. In: CIRP Journal of Manufacturing Science and Technology. 2020 ; Vol. 29, No. Part A. pp. 25-35.
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AU - Rust, F.

AU - Denkena, B.

AU - Dittrich, M. A.

N1 - Funding information: The authors thank the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for the financial support within the Collaborative Research Center 871: Regeneration of complex capital goods - SFB 871/3 - 119193472.

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