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Geometric analysis of investment casting turbine blades based on digital measurement data
作者姓名:Cheng Yunyong  Wang Liya  Zhu Zhenzhen  Zhang Dinghua
基金项目:This work was financially supported by the Major National S&T Project (No.2012ZX04007021) and Doctoral fund of China(No,2013YD050008).
摘    要:A turbine blade is one of the key components of the aero-engine.Its geometric shape should be inspected carefully in the production stage to ensure that it meets the tolerance specification.In the present paper,an approach for investment turbine blade geometric shape analysis based on multi-source digital measurement is presented.Its key technologies,such as measurement data collection,blade model reliable alignment,geometric shape deviation fast calculation and visualization,were investigated.Actual measurement data from a structure light measurement device and a Coordinate Measuring Machine (CMM) for turbine blades were used to validate the presented method.The experimental results show that the proposed method is accurate,quick and effective to implement.

关 键 词:turbine  blade  shape  inspection  model  reliable  alignment  deviation  visualizationCLC  number:TP391.9  Document  code:AArticle  ID:1672-6421(2014)01-020-08

Geometric analysis of investment casting turbine blades based on digital measurement data
Cheng Yunyong,Wang Liya,Zhu Zhenzhen,Zhang Dinghua.Geometric analysis of investment casting turbine blades based on digital measurement data[J].China Foundry,2014(1):20-27.
Authors:ChengYunyong WangLiya  ZhuZhenzhen ZhangDinghua
Affiliation:KeyLaboratoryofContemporaryDesignandIntegratedManufacturingTechnology;MinistryofEducation,NorthwesternPolytechnicalUniversity,Xi'an710072,Shaanxi,China
Abstract:A turbine blade is one of the key components of the aero-engine. Its geometric shape should be inspected carefully in the production stage to ensure that it meets the tolerance specification. In the present paper, an approach for investment turbine blade geometric shape analysis based on multi-source digital measurement is presented. Its key technologies, such as measurement data collection, blade model reliable alignment, geometric shape deviation fast calculation and visualization, were investigated. Actual measurement data from a structure light measurement device and a Coordinate Measuring Machine(CMM) for turbine blades were used to validate the presented method. The experimental results show that the proposed method is accurate, quick and effective to implement.
Keywords:turbine blade  shape inspection  model reliable alignment  deviation visualization
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