Microstructural and Corrosion Characteristics of Al-Zn-In Sacrificial Anode Fabricated by Cooling Slope Casting Through Response Surface Methodology: A Modeling Study

Experimental investigation and optimization of morphological characteristics in mechanically agitated aluminium 6061‐fly ash cenosphere composite

“…The normal probability plot of the residuals for particle size and degree of sphericity shows that the residuals are falling near the straight line, reflecting that the errors are distributed normally, Figure 8a and Figure 9a. The residual plot for the particle size and degree of sphericity reveals that there is no absurd pattern since all the run residues lie on or between the levels of −4 and 4 as reported in the standard literature, Figures 8b, 9b [3, 31–33].…”

“…All coefficients were assessed with a 99.5 % confidence level. The final mathematical regression models were built to predict the particle size and degree of sphericity, utilizing only the significant coefficients identified after they were verified as significant [30–31]. The following equations represent the two responses with the coded variables A, B, and C: $$$\vcenter{\openup.5em\halign{$\displaystyle{#}$\cr {\rm P}{\rm a}{\rm r}{\rm t}{\rm i}{\rm c}{\rm l}{\rm e}{\rm \ }{\rm s}{\rm i}{\rm z}{\rm e}=97.50+1.30\times {\rm A}-0.7350\times {\rm B}-1.34{\rm ^{\ast}}\hfill\cr {\rm C}+0.362\times {\rm A}\times {\rm B}+0.5387\times {\rm A}\times {\rm C}{\rm \ }\hfill\cr}}$$$ $$$\vcenter{\openup.5em\halign{$\displaystyle{#}$\cr {\rm D}{\rm e}{\rm g}{\rm r}{\rm e}{\rm e}{\rm \ }{\rm o}{\rm f}{\rm \ }{\rm s}{\rm p}{\rm h}{\rm e}{\rm r}{\rm i}{\rm c}{\rm i}{\rm t}{\rm y}=0.5753-0.0717{\rm ^{\ast}}\hfill\cr {\rm A}+0.0433\times {\rm B}+0.0749\times {\rm C}\hfill\cr}}$$$ …”

“…All coefficients were assessed with a 99.5 % confidence level. The final mathematical regression models were built to predict the particle size and degree of sphericity, utilizing only the significant coefficients identified after they were verified as significant [30][31]. The following equations represent the two responses with the coded variables A, B, and C:…”

Effect of Bi on the Performance of Al-Ga-In Sacrificial Anodes

“…Research has demonstrated that adding Pb, Bi, In, Ga, and other alloy elements into aluminum alloys causes a negative potential shift, improving the efficiency of the sacrificial anodes [6][7][8]. Particularly, the Pb and Bi alloy elements significantly impact the aluminum anodes.…”