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On the use of factorial experiments for optimizing inhibition effect of acid extract of Gnetum Africana on copper corrosion

机译:关于阶乘实验的利用优化酸提取物酸提取物对铜腐蚀的抑制作用

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摘要

The inhibition of copper corrosion by acid extract of Gnetum Africana using weight loss method under various independent variables of time, inhibitor concentration and temperature was studied. The data used was retrieved from a three-level factorial experiment by Nkuzinna et al. (2014) and reanalyzed. The re-analysis was necessary to provide an alternative model for weight loss due to corrosion of copper in the acid extract of Gnetum Africana. The original three-level factorial design was employed to fit a model describing the weight loss due to corrosion. Equally, a two-level factorial design and Box-Behnken design were alternatively considered for the design constructions, analysis, and modeling the process of the original data. The optimum factor settings for corrosion inhibition were determined to be 24 h, 0.003 g/L and 303 K for time, inhibitor concentration and temperature respectively. It was concluded that the Box-Behnken design was the most efficient, followed by the two-level factorial design, while the three-level factorial design was the least efficient in predicting the weight loss. Indeed, this is a great improvement over the three-level factorial experiment earlier used by Nkuzinna et al. (2014) in relation to resources, time and above all the statistical efficiency, precision and reliability of the model.
机译:研究了在各种独立变量下使用体重减轻方法抑制了Gnetum Africana的酸提取物,研究了抑制剂浓度和温度。使用的数据从NKUZINNA等人的三级阶乘实验中检索。 (2014)和重新分析。由于在Afferana的酸提取物中提供了由于铜的腐蚀而提供替代模型的重新分析。采用原版三级因子设计来适合描述由于腐蚀而损失的模型。同样,两级阶乘设计和Box-Behnken设计被考虑用于设计结构,分析和建模原始数据的过程。腐蚀抑制的最佳因子设置分别测定为时间,抑制剂浓度和温度为24小时,0.003g / L和303k。结论是,Box-Behnken设计是最有效的,其次是两级阶乘设计,而三级因子设计在预测体重减轻方面是最不高的效率。实际上,这是NKUZINNA等人使用的三级因子实验的巨大改进。 (2014)与资源,时间及以上所有统计效率,精度和可靠性相关。

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