Optimization of Operating Conditions Affecting Microbiologically Influenced Corrosion of Mild Steel Exposed to Crude Oil Environments Using Response Surface Methodology

Salam, K. K.; Agarry, S. E.; Arinkoola, A. O.; Shoremekun, I O

doi:10.9734/bbj/2015/16810

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…The Predicted R-Squared of 0.940884 was in reasonable agreement with the Adjusted R-Squared of 0.935095 which indicated that the experimental data fitted better Xin and Saka [10]. Adequate Precision of 19.38 is above the desirable minimum value of 4 was reported by Salam et al [11].…”

Section: Calibration Of the Modelsupporting

confidence: 78%

Yield of Soya Paste (Okara) Influenced by Some Mechanical Parameters of an Automated Grain Drinks Production Machine

2019

GJNFS

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Section: Calibration Of the Modelsupporting

confidence: 78%

Yield of Soya Paste (Okara) Influenced by Some Mechanical Parameters of an Automated Grain Drinks Production Machine

2019

GJNFS

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“…This strategy can be used to optimize experimental results achieved by weight loss measurements and is, therefore, essential to any research in this area. RSM offers the possibility to significantly reduce the number of experiments required to fully evaluate the performance of inhibitors, thus minimizing the cost and duration of the experiment [23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the inhibition corrosion of carbon steel in an acidic medium by a novel eco-friendly inhibitor Asphodelus ramosus using response surface methodology

Saigaa

Bouguessa

Boukhedena

et al. 2023

J. Electrochem. Sci. Eng.

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Ethyl acetate extract of Asphodelus ramosus (ARAE) was examined as an anti-corrosion agent for carbon steel (CS) in 1 M HCl acid medium using different techniques, namely weight loss method, potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS) at various temperatures and inhibitor concentrations. An inhibition efficiency of 89.81 % was obtained by the weight loss method at the inhibitor concentration of 700 ppm at 293 K. Increasing the temperature decreases the corrosion inhibition rate. Potentiodynamic polarization results showed that the extract is adsorbed on CS surface according to the Freundlich isotherm, while negative values of the standard free energy of adsorption (DG0ads) suggested the physical spontaneity of the adsorption reaction. Scanning electron microscopy (SEM) and energy dispersive spectrometry (EDS) analyses were performed to examine the surface morphology of inhibited and uninhibited CS samples. Central composite design (CCD) based optimization was engaged to analyze factors and maximize inhibition efficiency by applying response surface methodology (RSM) using Design-Expert software.

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“…Coefficients in the model characterized by positive values denote a synergistic effect, whereas negative values indicate an antagonistic effect (26). Among the model factors, Con 2 and Temp 2 positively contribute to the formulation, whereas Tim 2 , Con×Temp, Con×Tim, and Temp×Tim exert a negative influence on the developed model.…”

Section: Resultsmentioning

confidence: 99%

Iodine–β-Cyclodextrin: An Effective Corrosion Inhibitor for Carbon Steel in Sulfuric Acid Solution - Experimental Design and Investigating Thermodynamic Parameters

ATTAR,

BENCHADLI,

CHOUKCHOU BRAHAM

et al. 2024

Journal of the Turkish Chemical Society Section A: Chemistry

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Widely used across industries, carbon steel is vulnerable to corrosion in aggressive environments, especially acidic ones. Thus, effective methods to mitigate metal corrosion from acids are crucial. Inhibitors are extensively used to prevent corrosion in industries, with the potential for improved protective performance. The design of experiments was employed to determine the optimal conditions for enhancing the inhibitor efficiency of Iodine–β-Cyclodextrin (Iodine/β-CD) in a sulfuric acid solution at temperatures ranging from 20°C to 50°C. The relationship between the factors and responses was established using response surface methodology (RSM), employing regression statistical analysis and probabilistic analysis. A single response was recorded: inhibitor efficiency was determined by measuring weight loss before and after immersion in the inhibitor solution. Thermodynamic parameters were also computed to determine adsorption and activation processes. The statistical analysis revealed that the quadratic models for inhibition efficiencies (IE) were highly significant with a coefficient of multiple regressions R2= 0.997. Further validation of the model indicated a good fit (R2 Adj= 0.994), and the experimentally observed values aligned well with predicted ones, demonstrating a highly significant model with Q2= 0.978. The theoretical efficiency predicted by the RSM model was 88.41%, whereas the efficiency observed during the experimental test procedure with the best-evaluated variables was 82.45%. In conclusion, this paper aims to identify the optimal conditions for employing Iodine–β-Cyclodextrin as a new corrosion inhibitor for carbon steel, utilizing experimental design methods. The results indicate that iodine/β-CD exhibits remarkable corrosion inhibitory properties for carbon steel under specific conditions.

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Optimization of Operating Conditions Affecting Microbiologically Influenced Corrosion of Mild Steel Exposed to Crude Oil Environments Using Response Surface Methodology

Cited by 11 publications

References 13 publications

Yield of Soya Paste (Okara) Influenced by Some Mechanical Parameters of an Automated Grain Drinks Production Machine

Yield of Soya Paste (Okara) Influenced by Some Mechanical Parameters of an Automated Grain Drinks Production Machine

Optimization of the inhibition corrosion of carbon steel in an acidic medium by a novel eco-friendly inhibitor Asphodelus ramosus using response surface methodology

Iodine–β-Cyclodextrin: An Effective Corrosion Inhibitor for Carbon Steel in Sulfuric Acid Solution - Experimental Design and Investigating Thermodynamic Parameters

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