Optimization design of a gating system for sand casting aluminium A356 using a Taguchi method and multi-objective culture-based QPSO algorithm

Wen-Jong Chen, Cai Xuan Lin, Yan Ting Chen, Jia Ru Lin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This article combined Taguchi method and analysis of variance with the culture-based quantum-behaved particle swarm optimization to determine the optimal models of gating system for aluminium (Al) A356 sand casting part. First, the Taguchi method and analysis of variance were, respectively, applied to establish an L27(38) orthogonal array and determine significant process parameters, including riser diameter, pouring temperature, pouring speed, riser position and gating diameter. Subsequently, a response surface methodology was used to construct a second-order regression model, including filling time, solidification time and oxide ratio. Finally, the culture-based quantum-behaved particle swarm optimization was used to determine the multi-objective Pareto optimal solutions and identify corresponding process conditions. The results showed that the proposed method, compared with initial casting model, enabled reducing the filling time, solidification time and oxide ratio by 68.14%, 50.56% and 20.20%, respectively. A confirmation experiment was verified to be able to effectively reduce the defect of casting and improve the casting quality.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalAdvances in Mechanical Engineering
Volume8
Issue number4
DOIs
Publication statusPublished - 2016 Apr 1

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Aluminum castings
Taguchi methods
Casting
Sand
Analysis of variance (ANOVA)
Particle swarm optimization (PSO)
Solidification
Oxides
Aluminum
Defects
Design optimization
Experiments
Temperature

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this

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title = "Optimization design of a gating system for sand casting aluminium A356 using a Taguchi method and multi-objective culture-based QPSO algorithm",
abstract = "This article combined Taguchi method and analysis of variance with the culture-based quantum-behaved particle swarm optimization to determine the optimal models of gating system for aluminium (Al) A356 sand casting part. First, the Taguchi method and analysis of variance were, respectively, applied to establish an L27(38) orthogonal array and determine significant process parameters, including riser diameter, pouring temperature, pouring speed, riser position and gating diameter. Subsequently, a response surface methodology was used to construct a second-order regression model, including filling time, solidification time and oxide ratio. Finally, the culture-based quantum-behaved particle swarm optimization was used to determine the multi-objective Pareto optimal solutions and identify corresponding process conditions. The results showed that the proposed method, compared with initial casting model, enabled reducing the filling time, solidification time and oxide ratio by 68.14{\%}, 50.56{\%} and 20.20{\%}, respectively. A confirmation experiment was verified to be able to effectively reduce the defect of casting and improve the casting quality.",
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Optimization design of a gating system for sand casting aluminium A356 using a Taguchi method and multi-objective culture-based QPSO algorithm. / Chen, Wen-Jong; Lin, Cai Xuan; Chen, Yan Ting; Lin, Jia Ru.

In: Advances in Mechanical Engineering, Vol. 8, No. 4, 01.04.2016, p. 1-14.

Research output: Contribution to journalArticle

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