Experimental correlation using ANOVA and DOE studies on corrosion behavior of Fe and Ni-based alloy under different media

Abstract

The present study was undertaken to evaluate the effect of temperature, immersion time, and different corrosive media such as HCl, H 2 SO 4 and KOH at different time intervals at 30°C, 40°C and 60°C on the corrosion behavior of Fe and Ni-based alloy. The use of the design of experiment (DOE) and the analysis of variance (ANOVA) can be a useful methodology to reach this research. The analysis of the effects of each variable and their interaction on the corrosion of Fe and Ni-based alloys important role in selective best materials choice. The corrosion rate differs with different time intervals and different acid-base environments and increased with an increase in temperature from 30 to 60°C. The study further reveals that the corrosion rate in different environment follows the order: HCl>H 2 SO 4 >KOH.

Human factors engineering simulated analysis in administrative, operational and maintenance loops of nuclear reactor control unit using artificial intelligence and machine learning techniques

“…14 show that the points that are closest to the mean are found in the cases of PRMR, PMRC, RARM, and WTE. This is in accordance with what was expected by the interaction plot about the mean [ [41] , [42] , [43] ].

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“…4 . By illuminating the narrow mean existence that is connected with LER, VP, NRV, and C/PP, this result also lends support to the outcomes of the artificial intelligence [ [41] , [42] , [43] ].

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“…9 displays the main effect plots of the means for the different parameters included in the ANOVA treatment test run. This graph provides more evidence for the findings of artificial intelligence [ [41] , [42] , [43] ] by showing the interacting nature of OLC, OEE and NTP.

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