A novel allowance evaluation method of blade based on high-precision matching and deviation calculating for 3D points

Wang, Ziling; Lai, Zhonghong; Wang, Wenxi; Li, Mingcong; Huang, Yun

doi:10.1016/j.optlaseng.2023.107752

Cited by 4 publications

(1 citation statement)

References 31 publications

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“…In addition, the limitation of traditional contact sensor measurement is that the measurement points are limited, and it is difficult to obtain full-field deformation information. Therefore, contact measurement method is gradually replaced by non-contact measurement method [3,4]. In order to improve the safety performance of aero-engine blades and prolong the life of blades, it is urgent to study the non-contact accurate measurement method of blade deformation in rotating state.…”

Section: Introductionmentioning

confidence: 99%

A novel deformation measurement method for rotating blade based on PSO-ILS image correlation matching and mismatch correction

Wu,

Sun,

Liu

et al. 2024

Meas. Sci. Technol.

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Aiming at the problem of small measurement range and difficult measurement of traditional contact sensor method in the rotating state of aero-engine blades, this paper proposes a novel deformation measurement method for rotating blade based on image correlation matching and mismatch correction. Firstly, a Particle Swarm Optimization-Iterative Local Search image intelligent matching algorithm is proposed, which effectively balances global search and local optimization, and the image matching displacement accuracy reaches 10−3 pixel. Secondly, a mismatch point detection method based on multi-scale local Root Mean Square is proposed, and the high-precision detection of mismatch points is realized by considering the influence of local structure. Finally, through the hierarchical refinement of the sub-pixel level mismatch point correction method, the mismatch point is corrected in the two iterative stages of global search and local optimization. The corrected mismatch point response value K is reduced by 99% compared with that before correction, which further improves the accuracy of deformation field calculation. In the experiment, the deformation of the rotating blade of 4500 RPM is measured, which proves that the image intelligent matching algorithm and the deformation field calculation method proposed in this paper can provide new methods and technical support for the accurate measurement of the blade surface deformation.

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Section: Introductionmentioning

confidence: 99%