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

9 Citations (Scopus)

Abstract

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
Volume10
DOIs
Publication statusPublished - 2013

Fingerprint

Particle swarm optimization (PSO)

Cite this

@article{65e92fa088264bdaab30bd1f68ac086b,
title = "The assessment of straightness and flatness errors using particle swarm optimization",
abstract = "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.",
keywords = "Assessment, Flatness, Form error, Optimization, Particle Swarm Optimization(PSO), Straightness",
author = "Changcai Cui and T. Li and Blunt, {L. A.} and X. Jiang and H. Huang and Ruifang Ye and W. Fan",
year = "2013",
doi = "10.1016/j.procir.2013.08.041",
language = "English",
volume = "10",
pages = "271--275",
journal = "Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier",

}

The assessment of straightness and flatness errors using particle swarm optimization. / Cui, Changcai; Li, T.; Blunt, L. A.; Jiang, X.; Huang, H.; Ye, Ruifang; Fan, W.

In: Procedia CIRP, Vol. 10, 2013, p. 271-275.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The assessment of straightness and flatness errors using particle swarm optimization

AU - Cui, Changcai

AU - Li, T.

AU - Blunt, L. A.

AU - Jiang, X.

AU - Huang, H.

AU - Ye, Ruifang

AU - Fan, W.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Assessment

KW - Flatness

KW - Form error

KW - Optimization

KW - Particle Swarm Optimization(PSO)

KW - Straightness

UR - http://www.scopus.com/inward/record.url?scp=84884867295&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2013.08.041

DO - 10.1016/j.procir.2013.08.041

M3 - Article

VL - 10

SP - 271

EP - 275

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

ER -