DOE Applied to Optimization of Steel Casting

Xue Dan Gong; Dun Ming Liao; Jian Xin Zhou; Xu Shen

doi:10.4028/www.scientific.net/AMM.251.360

Paper Titles

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Theoretical Study on the GeH₄•••Y (Y=He, Ne, Ar and Kr) Systems
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Study of the Difference in Microstructures and Properties of Cold Rolled Dual Phase Steel with Different Composition
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An Analysis of the Sound Insulation for Compound Steel Panel
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DOE Applied to Optimization of Steel Casting
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The Research on Electronic Transport Based on Quasi-One-Dimensional Nanostructures
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Electron Density Topological Analysis the Intermolecular Weak Interaction between GeH₄ and X(X=He, Ne, Ar and Kr)
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Adsorption Studies on the Removal of an Herbicide (Atrazine) Using Activated Carbons Prepared from Agricultural Waste Sugarcane Bagasse
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Preparation and Characterization of the Tubular Ceramic Membrane of Tin Dioxide
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 251DOE Applied to Optimization of Steel Casting

DOE Applied to Optimization of Steel Casting

Abstract:

In this paper, DOE method is applied to scheme test plans for designing the casting processes with shrinkage volume information provided by InteCAST. The effect on casting defect by the setting of riser style, riser section, riser height, chill section, chill thickness were studied by the range analysis, and the influences degree of above five factors were compared by the variance analysis. The trend graphs of factor level are drawn to intuitively present the degree of importance of the factor. Optimal process parameters are obtained by using comprehensive analysis and comprehensive score method. A practical exemplification is shown to prove that the proposed method could help designer effeciently obtain a optimal feeding layout.

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Periodical:

Applied Mechanics and Materials (Volume 251)

Pages:

360-365

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.251.360

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Online since:

December 2012

Authors:

Xue Dan Gong, Dun Ming Liao, Jian Xin Zhou, Xu Shen

Keywords:

Design of Experiment (DOE), Numerical Simulation, Process Parameters Optimization, Steel Casting

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References

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