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

doi:10.1016/j.procir.2013.08.041

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 journal › Conference article › peer-review

18 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 language	English
Pages (from-to)	271-275
Number of pages	5
Journal	Procedia CIRP
Volume	10
Early online date	19 Sep 2013
DOIs	https://doi.org/10.1016/j.procir.2013.08.041
Publication status	Published - 19 Sep 2013
Event	12th CIRP Conference on Computer Aided Tolerancing - Huddersfield, United Kingdom Duration: 18 Apr 2012 → 19 Apr 2012 https://www.tib.eu/en/search/id/TIBKAT%3A784140057/12th-CIRP-Conference-on-Computer-Aided-Tolerancing/ (Link to Conference Details )

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10.1016/j.procir.2013.08.041Licence: CC BY-NC-ND

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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",

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language = "English",

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note = "12th CIRP Conference on Computer Aided Tolerancing, CIRP CAT 2012 ; Conference date: 18-04-2012 Through 19-04-2012",

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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 - 2013/9/19

Y1 - 2013/9/19

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

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U2 - 10.1016/j.procir.2013.08.041

DO - 10.1016/j.procir.2013.08.041

M3 - Conference article

AN - SCOPUS:84884867295

VL - 10

SP - 271

EP - 275

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

T2 - 12th CIRP Conference on Computer Aided Tolerancing

Y2 - 18 April 2012 through 19 April 2012

ER -

The assessment of straightness and flatness errors using particle swarm optimization

Abstract

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