A localization model for snubber machining of precision forging blade

Jian Hua Yang, Ding Hua Zhang, Bao Hai Wu, Ying Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The compressor blades of aero-engines are usually produced with precision forging technology to get net-shape free-form surface of the blades. Due to the complex shape of blade snubber, it's very difficult to get net-shape for it. While, there are still lots of raw material around it, further multi-axis machining is needed. However, without raw material left on blade surfaces, it is very difficult and skill-dependent to design special fixture to localize the blade with its net-shape free-form surface for multi-axis milling. In order to mill blade snubber with high accuracy, a mathematical model for localization precision forging blade with snubber is proposed in this paper. According to the processing characteristic of precision forging blades, a point set selection method based on the CAD model is proposed. In this method, localization transform parameter is obtained by using SVD (Singular Value Decomlocalizing), and solving process is completed by employing iterative nearest point (ICP) algorithm. Finally, a machining simulation experiment is carried out to validate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationMaterial Research and Applications
PublisherTrans Tech Publications
Pages1127-1132
Number of pages6
ISBN (Print)9783037859933
DOIs
StatePublished - 2014
Event2012 International Conference on Advanced Material and Manufacturing Science, ICAMMS 2012 - Beijing, China
Duration: 20 Dec 201221 Dec 2012

Publication series

NameAdvanced Materials Research
Volume875-877
ISSN (Print)1022-6680

Conference

Conference2012 International Conference on Advanced Material and Manufacturing Science, ICAMMS 2012
Country/TerritoryChina
CityBeijing
Period20/12/1221/12/12

Keywords

  • Iterative nearest point (ICP)
  • Localization model
  • Point set selection method
  • Snubber machining

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