The assessment of straightness and flatness errors using particle swarm optimization

Changcai Cui, T. Li, L. A. Blunt, X. Jiang, H. Huang, Ruifang Ye, W. Fan

Research output: Contribution to journalArticle

11 Citations (Scopus)


The straightness and flatness errors are generally assessed by using the Least Squares Method (LSM). However, the results obtained from LSM often overestimate the tolerances, and are not consistent with the ISO standards' definitions. To this end, this paper presents a method to evaluate those errors by using particle swarm optimization (PSO). The realization technique is detailed. The experimental data is utilized to verify this algorithm, together with a comparison with some typical optimization algorithms.

Original languageEnglish
Pages (from-to)271-275
Number of pages5
JournalProcedia CIRP
Publication statusPublished - 2013


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