Optimization of Flatness of Strip during Coiling Process based on Evolutionary Algorithms

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In this paper, an optimization study was conducted for improving flatness of the strips during coiling process. The evolutionary optimizer coded by MATLAB is used for reducing axial inhomogeneity of the stress distribution and the maximum compressive stress calculated by Love's elastic solution within a thin strip during the coiling process which might cause irregular surface profile of the strip. An improved differential evolution (DE# method employing opposition-based concept is newly proposed in the present work and is used along with several well-established evolutionary algorithms #EAs) to obtain the optimal processing parameters such as spool geometry and coiling tension of the strip coiling process. It was found that the newly proposed differential evolutionary algorithm outperformed other EAs according to the present study. This kind of optimization studies will be helpful in reducing the edge wave defects during the strip coiling process to improve product quality
Publisher
KOREAN SOC PRECISION ENG
Issue Date
2015-06
Language
English
Article Type
Article
Keywords

MULTIOBJECTIVE OPTIMIZATION; DIFFERENTIAL EVOLUTION; GENETIC ALGORITHMS; ROLLING PROCESS; DESIGN; HYBRIDIZATION; CROWN; SHAPE

Citation

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.16, no.7, pp.1493 - 1499

ISSN
2234-7593
DOI
10.1007/s12541-015-0198-7
URI
http://hdl.handle.net/10203/200170
Appears in Collection
ME-Journal Papers(저널논문)
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