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Authors:
Mbimda Ali Mbishida, Kelechukwu Njoko, Yakubu Isheni, Mahmoud Lawan Umar
DOI:https://doi.org/10.5281/zenodo.6520215
Published Date: 05-May-2022
Abstract:
This study is aimed at optimizing the properties of Alkaleri clay mixed with Rice Husk for metal casting using Analysis of Variance. It was discovered that the model adopted is significant for prediction of refractoriness because the R-square value of 0.9268 is close to 1.00 and also the model predicted R-square value of 0.9268 is a reasonable agreement with adjusted R-square of 0.9822. Also the model F-valve of 133.41 shows the model is significant value of P-value less than 0.05 indicated model term is significant. However, the model is quadratic model with standard deviation of 0.27 R-square of 0.9958 and predicted and adjusted R-square of 0.9699 respectively. The adjusted R-square is in close agreement with the predicted R-square value while the R-square value of 0.9927 is close to 1.00 this show that the model has 99.27% chance of efficiency prediction of thermal shock resistance and 2.28% chance of not predicting thermal shock resistance efficiently. The model with F-value of 328.81 implies the model is significant; the value of P-value must be less than 0.05 for the model terms to be
significant. The cold crushing strength also a quadratic model with standard deviation of 0.017, mean crushing strength of 2.16KN/cm2. The predicted R-square of 0.8205 is reasonable agreement with the adjusted R-square of 0.9567 is close to 1.00, this shows 97.4%. The results when compared with ASTM standards of refractory materials, they have proven to be suitable for ferrous metal casting. These standards are apparent porosity 20%-30%, bulk density 1.7g/cm3-2.3g/cm3, CCS 1.5kN/cm2-5.9kN/cm2, linear shrinkage 3%-10%, refractoriness 1200oC -1900oC.
Keywords: Optimization, Thermal Shock, Cold Crushing, Refractoriness, Rice Husk, Alkaleri clay.
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