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首页> 外文期刊>CERAMICS INTERNATIONAL >Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review)
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Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review)

机译:使用数学建模的常用二次原料对粘土砖质量影响的综合方法(系统评价)

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The main idea of this research was to evaluate rice and sunflower hulls, sawdust and their ashes, as additives in clay brick production using mathematical analysis. All available papers, containing the parameters of interest, were used in the study, which consisted of total 316 cases, obtained from the literature. The major oxide content of clays and mixtures, then weight percent addition and particle size ranges of secondary raw materials, and process parameters (firing temperature, soaking time and average heating rate) were selected as inputs to mathematical models. Shaping moist was the only parameter characterizing transition state of the products analyzed as an output parameter. The other parameters described the fired product quality: linear shrinkage, bulk density, water absorption, compressive and bending strength. The main goal was to find the relationships and the main influences between raw material properties, process parameters, and the quality of the obtained products and mixtures, by using mathematical tools. Statistical and mathematical analyses were applied for prediction of final product quality. Developed artificial neural network empirical models (ANNs) give a reasonable fit to experimental data and successfully predict the most of the observed output variables, showing the good prediction capabilities (coefficient of determination varied between 0.714 and 0.998). Sensitivity analysis showed that, among all the studied parameters concerning raw materials and process parameters, the dominant influence belonged to loss on ignition.
机译:该研究的主要思想是评估使用数学分析的粘土砖生产中的添加剂,评估水稻和向日葵壳,锯末及其灰烬。含有兴趣参数的所有可用纸张在该研究中使用,该研究包括从文献中获得的总计316例。粘土和混合物的主要氧化物含量,然后重量百分比加成和粒度的次级原料,以及工艺参数(烧制温度,浸泡时间和平均加热速率)作为数学模型的输入。塑造湿润是分析为输出参数的产品的过渡状态的唯一参数。另一个参数描述了烧制的产品质量:线性收缩,散装密度,吸水,压缩和弯曲强度。主要目标是通过使用数学工具找到原材料性能,工艺参数和所获得的产品和混合物的质量之间的关系和主要影响。统计和数学分析应用于预测最终产品质量。开发的人工神经网络经验模型(ANNS)为实验数据提供合理的拟合,并成功预测了大多数观察到的输出变量,示出了良好的预测能力(确定系数在0.714和0.998之间变化。敏感性分析表明,在所有研究的参数中,在原材料和工艺参数的所有参数中,所主体的影响属于点火损失。

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