Adaptive location of repaired blade for multi-axis milling

Baohai Wu, Jian Wang, Ying Zhang, Ming Luo

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Free-form blades are widely used in different industries, such as aero-engine and steam turbine. Blades that are damaged during service or have production deficiencies are usually replaced with new ones. This leads to the waste of expensive material and is not sustainable. However, material and costs can be saved by repairing of locally damaged blades or blades with localized production deficiencies. The blade needs to be further machined after welding process to reach the aerodynamic performance requirements. This paper outlines an adaptive location approach of repaired blade for model reconstruction and NC machining. Firstly, a mathematical model is established to describe the localization problem under constraints. Secondly, by solving the mathematical model, localization of repaired blade for NC machining can be obtained. Furthermore, a more flexible method based on the proposed mathematical model and the continuity of the deformation process is developed to realize a better localization. Thirdly, by rebuilding the model of the repaired blade and extracting repair error, optimized tool paths for NC machining is generated adaptively for each individual part. Finally, three examples are given to validate the proposed method.

Original languageEnglish
Pages (from-to)261-267
Number of pages7
JournalJournal of Computational Design and Engineering
Volume2
Issue number4
DOIs
StatePublished - 1 Oct 2015

Keywords

  • Adaptive Localization
  • Model Reconstruction
  • NC Machining
  • Repaired Blade

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