TY - JOUR
T1 - Geometric Error Analysis of Compressor Blade Based on Reconstructing Leading and Trailing Edges Smoothly
AU - Hou, Yaohua
AU - Zhang, Ying
AU - Zhang, Dinghua
N1 - Publisher Copyright:
© 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
PY - 2016
Y1 - 2016
N2 - In the process of blade design, the shape of blade, which causes great influence on aerodynamic performance, is the most difficult part for designer. The shape of blade changes because of the cutting force, residual stress and deformation. To analyze the precise error of this, this paper presents a new algorithm for reconstructing cross section curve of blade from measuring points. The Gauss-Newton method and dichotomy are used to fit the circle of leading and trailing edge, which is the most important part of blade. Then the deformation error, contour error and parameter error are calculated with relative algorithm based on the new cross section curve. Also, a series of points and a blade model are utilized to demonstrate the effectiveness of this novel algorithm on reconstructing cross section curve and analyzing machining error.
AB - In the process of blade design, the shape of blade, which causes great influence on aerodynamic performance, is the most difficult part for designer. The shape of blade changes because of the cutting force, residual stress and deformation. To analyze the precise error of this, this paper presents a new algorithm for reconstructing cross section curve of blade from measuring points. The Gauss-Newton method and dichotomy are used to fit the circle of leading and trailing edge, which is the most important part of blade. Then the deformation error, contour error and parameter error are calculated with relative algorithm based on the new cross section curve. Also, a series of points and a blade model are utilized to demonstrate the effectiveness of this novel algorithm on reconstructing cross section curve and analyzing machining error.
KW - blade error analyzing
KW - cross section curve reconstructing
KW - leading edge fitting
UR - http://www.scopus.com/inward/record.url?scp=85006981002&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2016.10.082
DO - 10.1016/j.procir.2016.10.082
M3 - 会议文章
AN - SCOPUS:85006981002
SN - 2212-8271
VL - 56
SP - 272
EP - 278
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 9th International Conference on Digital Enterprise Technology - Intelligent Manufacturing in the Knowledge Economy Era, DET 2016
Y2 - 29 March 2016 through 31 March 2016
ER -