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<p>This study evaluates and optimizes the comprehensive property of desulfurization gypsum-based composites (DGCs). The water-gypsum ratio (A), ratio of dihydrate to hemihydrate desulfurization gypsum (B), and dosage of silica fume (C) were selected as multifactorial factors to design the three-level response surface methodology (RSM) experiments. Additionally, X-ray powder diffraction and scanning electron microscope (SEM) were used. The results indicate that the interactions of factor AC, BC and AB have the most significant effect towards the mechanical performances, thermal insulation as well as water resistance of DGCs, respectively. The water-gypsum ratio has the greatest influence on the overall performance of DGCs. In addition, the relative errors between the RSM test values and the model predictions do not exceed 5%, indicating that the RSM optimization models are highly accurate and well-fitted.</p>

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RSM-based Multi-objective Optimization of Desulfurized Gypsum-based Composites Properties

  • 期刊论文

  • 发表日期：

    2025年10月29日

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  • Gengyin Cui,
  • Lingling Wang,
  • Dewen Kong,
  • Wei Qiu,
  • Chuandong Ren,
  • Jing Shu,
  • Tiejun Tao

摘要

This study evaluates and optimizes the comprehensive property of desulfurization gypsum-based composites (DGCs). The water-gypsum ratio (A), ratio of dihydrate to hemihydrate desulfurization gypsum (B), and dosage of silica fume (C) were selected as multifactorial factors to design the three-level response surface methodology (RSM) experiments. Additionally, X-ray powder diffraction and scanning electron microscope (SEM) were used. The results indicate that the interactions of factor AC, BC and AB have the most significant effect towards the mechanical performances, thermal insulation as well as water resistance of DGCs, respectively. The water-gypsum ratio has the greatest influence on the overall performance of DGCs. In addition, the relative errors between the RSM test values and the model predictions do not exceed 5%, indicating that the RSM optimization models are highly accurate and well-fitted.