Production and optimization of the refractory properties of blended Nigerian clay for high-temperature application; a non-stochastic optimization approach

IF 3.1 Q2 MATERIALS SCIENCE, COMPOSITES Functional Composites and Structures Pub Date : 2023-04-03 DOI:10.1088/2631-6331/acc9fb
Hassan Abubakar Adamu, B. Samuel, Abutu Joseph, Samuel Samuel Okon, Iliyasu Idris Kirim
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Abstract

High-performance materials, systems, and processes have necessitated the exploration of very high-temperature environments. Materials, particularly ceramics, which can withstand these high temperatures, have been extensively studied, even though enough emphasis has not been given to clays sourced locally in Nigeria, where there is an abundance. Also, stochastic optimization techniques has been employed to improve on system or carry out experimentation with minimal spend of resources and very high accuracy. This work extensively explored the refractory properties of blends developed from locally sourced clays (Mayo Ndaga and kachalla Sembe and Kona). The Taguchi optimization technique was employed to determine the effect of various quantities of the clays on the loss on ignition (LOI), refractoriness (RF), and firing shrinkage (FS) of the blends. It was discovered that the optimum (lowest) LOI, highest RF, and lowest FS were 11%, 1333 °C, and 0.48%, respectively. Analysis of variance also proved the significance of Mayo Ndaga on the RF and FS of the blends, with P-values of 0.038 and 0.000 at a 95% confidence level.
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尼日利亚混合高温粘土的生产及耐火性能优化一种非随机优化方法
高性能材料、系统和工艺要求对非常高温的环境进行探索。能够承受这些高温的材料,特别是陶瓷,已经得到了广泛的研究,尽管尼日利亚当地的粘土资源丰富,但还没有得到足够的重视。此外,随机优化技术已被用于以最小的资源消耗和非常高的精度改进系统或进行实验。这项工作广泛探索了由当地来源的粘土(Mayo Ndaga和kachalla Sembe和Kona)开发的混合物的耐火性能。采用田口优化技术测定了不同数量的粘土对共混物的烧失量(LOI)、耐火度(RF)和烧成收缩率(FS)的影响。研究发现,最佳(最低)LOI、最高RF和最低FS分别为11%、1333°C和0.48%。方差分析还证明了Mayo-Ndaga对混合物的RF和FS的显著性,在95%置信水平下,P值分别为0.038和0.000。
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来源期刊
Functional Composites and Structures
Functional Composites and Structures Materials Science-Materials Science (miscellaneous)
CiteScore
4.80
自引率
10.70%
发文量
33
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