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  • 标题:Detection of Defected Zone Using 3D Scanning Data to Repair Worn Turbine Blades
  • 本地全文:下载
  • 作者:Edson Kenji Ueda ; Ahmad Barari ; Andre K. Sato
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:10531-10535
  • DOI:10.1016/j.ifacol.2020.12.2800
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis work presents a method to determine the curve that approximates the worn perimeter in a turbine blade. A CAD model is used as reference and it is searched for points of a measured point cloud that shows a worn in a blade. A threshold is used to filter measured and fabrication errors, resulting in a point cloud that just indicates the worn region. The alpha complex algorithm is used to triangulate the determined points. The resulting triangulation eliminates long edges making possible to a triangulation with concave regions. The boundary points of this triangulation is determined by the search for edges that belongs to just one triangle. A simulated annealing is used to optimize a cost function to determine the piecewise cubic Bézier curve that approximates these boundary points.
  • 关键词:KeywordsPoint CloudBézier curvePiecewise CurveCurve FittingSimulated AnnealingCADDigital Twin
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