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<p>The rapid development of the global sludge market has led to sludge treatment problems. In order to solve this problem, the effects of different working conditions on the properties of composite ceramics were systematically studied by using sludge shale as aggregate. It is found that when sintering temperature = 1250℃, sludge: shale = 3:7, K<sub>2</sub>CO<sub>3</sub>, biomass, Fe<sub>2</sub>O<sub>3</sub> content is 10%, the maximum porosity and compressive strength are 67.24% and 76.22Mpa, respectively. Compared with commercial ceramics, they increased by 158.62% and 90.56%, respectively. The presence of pores was verified by SEM (Scanning ​Electron ​Microscopy) and XPS (X​-ray ​Photoelectron ​Spectroscopy). Random Forest performed best in predicting density and porosity, with average errors of 1.71% and 3.76%, respectively. The characteristic importance shows that Fe<sub>2</sub>O<sub>3</sub> and biomass have the greatest influence on porosity. SiO<sub>2</sub> has the greatest influence on compressive strength and apparent density. The above research results provide ideas and theoretical support for the development and utilization of composite ceramics.</p>

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Optimization and mechanism of clean production of sludge-shale ceramics based on machine learning

  • 期刊论文

  • 发表日期：

    2026年1月13日

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  • Lin Chen,
  • Xiangyu Song,
  • Siyi Luo

摘要

The rapid development of the global sludge market has led to sludge treatment problems. In order to solve this problem, the effects of different working conditions on the properties of composite ceramics were systematically studied by using sludge shale as aggregate. It is found that when sintering temperature = 1250℃, sludge: shale = 3:7, K2CO3, biomass, Fe2O3 content is 10%, the maximum porosity and compressive strength are 67.24% and 76.22Mpa, respectively. Compared with commercial ceramics, they increased by 158.62% and 90.56%, respectively. The presence of pores was verified by SEM (Scanning ​Electron ​Microscopy) and XPS (X​-ray ​Photoelectron ​Spectroscopy). Random Forest performed best in predicting density and porosity, with average errors of 1.71% and 3.76%, respectively. The characteristic importance shows that Fe2O3 and biomass have the greatest influence on porosity. SiO2 has the greatest influence on compressive strength and apparent density. The above research results provide ideas and theoretical support for the development and utilization of composite ceramics.