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Using mathematical methods for designing optimal mixtures for building bricks prepared by solid industrial waste

机译:使用数学方法设计固体工业废料制备建筑砖的最佳混合物

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This study evaluates the use of solid industrial waste generated by a water treatment plant (WTP) at a pulp mill in Brazil for manufacturing building bricks. The sludge from the WTP was mixed with three different wastes generated by the same factory (dregs, grits, and lime mud) and other wastes generated from crushing and grinding granite rock (granite fines). Mathematical and statistical methods are proposed for designing mixtures that satisfy the material properties for ceramic processing and the mechanical properties for the end product. A method for solving a linear system of equations using fewer equations than variables was required, as the number of materials exceeded the number of reference grain size distributions. This type of system is generally compatible and indeterminate. To obtain feasible solutions, a combination-of-variables method is proposed to optimize the mixture design. The formulation of the mixtures was based on the grain size distribution of the residues and the proportions of calcium, sodium, and potassium oxides in the mixtures. The nonparametric Kruskal-Wallis test and the median test were applied for all mixtures, followed by a multiple comparison test of classes. The mechanical properties of the specimens were evaluated after drying (linear shrinkage and flexural strength) and firing (ignition loss, linear shrinkage, and flexural strength) according to the Brazilian Association of Technical Standards and Brazilian Standards for red ceramics.
机译:这项研究评估了巴西制浆厂的水处理厂(WTP)产生的固体工业废物在生产建筑用砖中的使用。 WTP产生的污泥与同一工厂产生的三种不同废物(残渣,粗砂和石灰泥)混合在一起,而碎石和磨碎花岗岩则产生了其他废物(花岗岩细粉)。提出了用于设计混合物的数学和统计方法,这些混合物满足陶瓷加工的材料性能和最终产品的机械性能。由于材料的数量超过了参考粒度分布的数量,因此需要一种使用少于变量的方程组来求解线性方程组的方法。这种类型的系统通常是兼容且不确定的。为了获得可行的解决方案,提出了一种变量组合方法来优化混合物设计。混合物的配方基于残渣的粒度​​分布以及混合物中钙,钠和钾的氧化物的比例。将非参数Kruskal-Wallis检验和中位数检验应用于所有混合物,然后进行类别的多重比较检验。根据巴西技术标准协会和巴西红色陶瓷标准,在干燥(线性收缩和弯曲强度)和烧制(点火损失,线性收缩和弯曲强度)后评估样品的机械性能。

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