Research on Optimization of "Deoxidation Alloying" of Molten Steel Based on Linear Programming

Anna Li, Dongqing Xu

Abstract


Aiming at the optimization of the supporting solution for molten steel "deoxidation alloying", the cost of "deoxidation alloying" is minimized from an economic perspective. Using Excel, Eviews and spss software programming, through factor analysis, clustering dimension reduction, principal component analysis Multiple linear regression analysis and linear programming optimization analysis, the author found out the main factors that affected the yield of alloy elements. This paper establishes a multiple linear regression mathematical model that affects the main factors of alloy elements and yield. According to the reference alloy price, the linear programming model is adopted to find the optimal solution of alloy ingredients.


Keywords


Alloy Element Yield; Optimization Scheme; Principal Factor Analysis; Multiple Linear Regression Analysis; Linear Programming Model

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References


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DOI: http://dx.doi.org/10.18282/ims.v3i1.310

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