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2015
DOI: 10.1016/j.corsci.2014.10.004
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Synthesis and inhibition of N-alkyl-2-(4-hydroxybut-2-ynyl) pyridinium bromide for mild steel in acid solution: Box–Behnken design optimization and mechanism probe

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Cited by 69 publications
(39 citation statements)
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“…To understand the nature of fitting, a normal probability plot could be applied to the residuals, i.e., the difference between the predicted and experimental values [32]. Figure 4a revealed that the residuals appeared to follow a straight grade, indicating that neither response transformation was required, nor was there any apparent problem with normality [33], thus affirming the analytical hypothesis.…”
Section: Analysis Of Normal Probability Plotmentioning
confidence: 84%
See 1 more Smart Citation
“…To understand the nature of fitting, a normal probability plot could be applied to the residuals, i.e., the difference between the predicted and experimental values [32]. Figure 4a revealed that the residuals appeared to follow a straight grade, indicating that neither response transformation was required, nor was there any apparent problem with normality [33], thus affirming the analytical hypothesis.…”
Section: Analysis Of Normal Probability Plotmentioning
confidence: 84%
“…To understand the nature of fitting, a normal probability plot could be applied to the residuals, i.e., the difference between the predicted and experimental values [32]. Figure 4a revealed that the …”
Section: Analysis Of Normal Probability Plotmentioning
confidence: 99%
“…The second-order quadratic polynomial regression model represented by Eq. (1) was fitted to the data of CBY, BC, and HRT, respectively [34,35]. Where Z, predicted response, A, B and C, independent variables, βo is the intercept term, α 1 ,α 2 , α 3 , are the linear coefficients, α 11 ,α 22 , α 33 , the quadratic coefficients, and α 12 ,α 13 , α 23 , the interaction coefficients.…”
Section: Statistical Design Of Experimentsmentioning
confidence: 99%
“…Compared to CCD, another RMS-based method, Box-Behnken design, has the advantages of a reduction in the number of experiments and no experiments are performed under extreme conditions [15]. It has been successfully applied for the optimization of various processes, such as solvent extraction [16,17], adsorption [18,19], and material synthesis [20,21].…”
Section: Introductionmentioning
confidence: 99%