2019
DOI: 10.1177/0954405419840461
|View full text |Cite
|
Sign up to set email alerts
|

A methodology for measuring and evaluating geometric errors of aero-engine blades based on genetic algorithm

Abstract: Measuring and evaluating geometric errors of an aero-engine blade are a complex research topic. At present, there is not a uniform evaluation criterion and completed strategy in the blade manufacturing industry. This article proposes an effective strategy for measuring and evaluating geometric errors of an aero-engine blade: first, measuring six feature curves and calculating the coordinate transformation value with singular value decomposition to improve the accuracy of blade localization; then, an improved m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 13 publications
(7 citation statements)
references
References 19 publications
0
7
0
Order By: Relevance
“…In addition, GA has the function of automatically searching the space and direction without additional constraints. 37 These properties of GA make it widely used in fixture layout optimization. 38,39 The detailed process of GA is as follows:…”
Section: Genetic Algorithmmentioning
confidence: 99%
“…In addition, GA has the function of automatically searching the space and direction without additional constraints. 37 These properties of GA make it widely used in fixture layout optimization. 38,39 The detailed process of GA is as follows:…”
Section: Genetic Algorithmmentioning
confidence: 99%
“…In surface oriented methods, a mesh can be reconstructed from point cloud directly, three points of the point cloud are firstly selected to create a facet, and a new point is continuously selected and inserted into the facet by using Delaunay Triangulation algorithm until the reconstruction is completed (Dong et al, 1996). To compensate probe radius errors for the measurement of aero-engine blades, an error separation-based compensation approach was proposed by using genic algorithm (Zhengqing et al, 2020). The existing construction algorithms can be used to reconstruct arbitrary geometries from the measurement data but most of them are low in reliability and robust.…”
Section: Introductionmentioning
confidence: 99%
“…Geometric deviations of blades caused by manufacturing or assembly errors are typically minor compared to blade sizes. However, they have identifiable performance impacts, as shown by many authors [21][22][23][24][25][26][27]. Salehi et al [28] pointed out that it is generally difficult to characterise geometrical uncertainties in terms of probabilistic distribution functions, and in many engineering calculations, the geometrical uncertainty inputs are usually modelled using a normal distribution.…”
Section: Introductionmentioning
confidence: 99%