Synthesis of a new corrosion inhibitor, 3,5-dimethyl (Hydroxybenzylenediene)4(4-m-1-pyrozol-H-1 Aminophenylmethanone to prevent corrosion of low-carbon iron in 1 M hydrochloric acid

Abstract

Inhibition of corrosion of low-carbon steel in 1 M hydrochloric acid solution by manufacturing A new organic inhibitor 3,5-dimethyl (Hydroxybenzylenediene)4(4-m-1-pyrozol-H-1 DPHM was diagnosed as aminophenylmethanone 1HNMRFTIR active groups and ingredients by The pyrazole ring is considered non-toxic, CNMR13. It is used in the pharmaceutical industry. The inhibitor molecules also contain nitrogen and oxygen as active centers with electron density that enhances the attraction of the inhibitor molecules to the metal surface through adsorption. The study was conducted at different temperatures (30-60°C) and different inhibitor concentrations using weight loss methods and electrochemical techniques such as voltage. (PDP) and (OCP) open circuit polarization Efficiency, (EIS) and electrochemical impedance technology Inhibition increases with increasing inhibitor concentration and also with increasing temperature, with the maximum inhibition being approximately 89.5%. The results obtained showed It acts as a steel inhibitor (DPHM); therefore, the inhibitor... Low carbon content in hydrochloric acid reduces the corrosion rate. The mechanism of chemisorption is suggested by the direction of inhibition efficiency with temperature change, as well as by the negative free energy values ​​of adsorption, which are greater than [-20 kJ / mol], and the calculated thermodynamic coefficient of adsorption. It reveals that (ΔGads) includes the free energy of adsorption The adsorption process is spontaneous, and adsorption follows an isotherm. FTIR and SEM adsorption of the extract confirms the Linkmayer adsorption. On the steel surface. Quantum chemical theory simulations were used to investigate the inhibition mechanism, revealing The electron donor in the DPHM results was When the steel surface was electron-accepting, mathematical and statistical modeling was used as a powerful tool to explain the data. The exponential model, with a correlation coefficient of 0.992, was the most accurate.