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Modeling and Optimization of Cement Raw Materials Blending Process

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  • Xianhong Li
  • Haibin Yu
  • Mingzhe Yuan

Abstract

This paper focuses on modelling and solving the ingredient ratio optimization problem in cement raw material blending process. A general nonlinear time-varying (G-NLTV) model is established for cement raw material blending process via considering chemical composition, feed flow fluctuation, and various craft and production constraints. Different objective functions are presented to acquire optimal ingredient ratios under various production requirements. The ingredient ratio optimization problem is transformed into discrete-time single objective or multiple objectives rolling nonlinear constraint optimization problem. A framework of grid interior point method is presented to solve the rolling nonlinear constraint optimization problem. Based on MATLAB-GUI platform, the corresponding ingredient ratio software is devised to obtain optimal ingredient ratio. Finally, several numerical examples are presented to study and solve ingredient ratio optimization problems.

Suggested Citation

  • Xianhong Li & Haibin Yu & Mingzhe Yuan, 2012. "Modeling and Optimization of Cement Raw Materials Blending Process," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-30, December.
    • Handle: RePEc:hin:jnlmpe:392197
    DOI: 10.1155/2012/392197
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    Cited by:

    1. Cao, Zhi & Shen, Lei & Zhao, Jianan & Liu, Litao & Zhong, Shuai & Yang, Yan, 2016. "Modeling the dynamic mechanism between cement CO2 emissions and clinker quality to realize low-carbon cement," Resources, Conservation & Recycling, Elsevier, vol. 113(C), pages 116-126.
    2. Doh Dinga, Christian & Wen, Zongguo, 2022. "Many-objective optimization of energy conservation and emission reduction under uncertainty: A case study in China's cement industry," Energy, Elsevier, vol. 253(C).

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