中国科学院长春光学精密机械与物理研究所

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	A fast hybrid roundness evaluation algorithm based on computational geometry and particle swarm optimization for profiles with massive points
	X. Bai, W. Wang, W. li, Z. Liu, S. Yu, Y. Bai and G. Chen
	2023
发表期刊	Measurement: Journal of the International Measurement Confederation
ISSN	02632241
卷号	223
摘要	The advancement of measurement has led to rigorous demands for the accuracy and efficiency of roundness evaluation of minimum zone circle (MZC) for profile with massive points. Existing algorithms struggle to balance efficiency and accuracy in such cases. A fast hybrid roundness evaluation (HCGPSO) algorithm for MZC based on the computational geometry (CG) and particle swarm optimization (PSO) algorithm is proposed, which incorporates a CG-based global best (gBest) selection method into the PSO algorithm and refines the termination criterion. A comparison with the published studies demonstrated that the HCGPSO algorithm were accurate and result are displayed to 10-15 mm. The impact of target accuracy, the harmonic and the number of points contained in profile on the performance of proposed algorithm are analyzed. With sub-nanometer target evaluation precision, HCGPSO enhances efficiency by an average of 64 % for profiles containing the highest harmonics from 30 undulations per revolution (upr) to 500 upr with 1500 points. For profiles with 300 to 4000 points at 150 upr, an average efficiency enhancement of 60 % was observed. For profiles with 4000 points at 500 upr from four workpieces, the calculation time is reduced by 55 % on average compared to the PSO algorithm, with increased accuracy and stability. © 2023 Elsevier Ltd
DOI	10.1016/j.measurement.2023.113798
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收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67338
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	X. Bai, W. Wang, W. li, Z. Liu, S. Yu, Y. Bai and G. Chen. A fast hybrid roundness evaluation algorithm based on computational geometry and particle swarm optimization for profiles with massive points[J]. Measurement: Journal of the International Measurement Confederation,2023,223.
APA	X. Bai, W. Wang, W. li, Z. Liu, S. Yu, Y. Bai and G. Chen.(2023).A fast hybrid roundness evaluation algorithm based on computational geometry and particle swarm optimization for profiles with massive points.Measurement: Journal of the International Measurement Confederation,223.
MLA	X. Bai, W. Wang, W. li, Z. Liu, S. Yu, Y. Bai and G. Chen."A fast hybrid roundness evaluation algorithm based on computational geometry and particle swarm optimization for profiles with massive points".Measurement: Journal of the International Measurement Confederation 223(2023).

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