基于改进ICP算法的叶片型线轮廓度误差评定

doi:10.3969/j.issn.1000-1158.2022.08.07

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Abstract To address the problem of poor registration precision of traditional iterative closest point (ICP) algorithm, an improved ICP algorithm was proposed.First, a new type line data registration method based on vector alignment was used, considering that the measured data of CMM show orderly array and one-to-one correspondence.Secondly, based on the traditional ICP algorithm, non-uniform rational B-spline (NURBS) curve fitting was carried out for the registration data, and then the adaptive particle swarm optimization (PSO) algorithm was used to further accurately register the measurement data.Finally, the evaluation method of blade profile error based on the minimum region was used to evaluate the accuracy.Experimental results show that, compared with the traditional ICP algorithm, the improved method can further converge on the original convergence value, and the contour error is reduced by 28.57%.This method can effectively improve the accuracy of the evaluation of blade profile error and provide a reliable basis for the evaluation of blade machining quality.

Key words： metrology line profile evaluation of geometric error improved ICP algorithm NURBS

Received: 10 March 2021 Published: 20 August 2022

PACS:	计量学
	线轮廓度
	几何误差评定
	改进ICP算法
	非均匀有理化B样条

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	Articles by authors
	LU Heng
	XU Xu-song
	WANG Shu-gang
	WANG hao

Cite this article:

LU Heng,XU Xu-song,WANG Shu-gang, et al. Blade Profile Profile Error Evaluation Based on Improved ICP Algorithm[J]. Acta Metrologica Sinica, 2022, 43(8): 1015-1020.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2022.08.07 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2022/V43/I8/1015

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