I.J. Engineering and Manufacturing, 2019, 6, 53-64 Published Online November 2019 in MECS (http://www.mecs-press.net) DOI: 10.5815/ijem.2019.06.05 Available online at http://www.mecs-press.net/ijem Thermodyamic and Kietic Study on the Corrosion of Aluminium in Hydrochloric Acid using Benzaldehyde as Corrosion Inhibitor *Musa Husaini, Muhammad Bashir Ibrahim a Department of Pure and Industrial Chemistry ,Faculty of Physical Sciences, Bayero University, P.M.B. 3011 BUK, Kano. Nigeria Received: 07 September 2019; Accepted: 15 October 2019; Published: 08 November 2019 Abstract The inhibition of the corrosion of aluminium by benzaldehyde in 1.4 M HCl was investigated using weight loss method and characterized by FT-IR analysis. The results showed that the corrosion rate of aluminium in 1.4 M HCl decreases with increase in concentration of the inhibitor. The inhibition efficiency increases progressively as the concentration of the inhibitor increases. Effects of temperature on the inhibition efficiency of the inhibitor showed that inhibition efficiency decreases with increase in temperature. The value of activation energy (Ea) was found to be 20.55 Kjmol-1 for aluminium corrosion in 1.4 M HCl which was increased to 34.49 Kjmol-1 in the presence of 0.1 M inhibitor concentration. The calculated values for enthalpy of activation (ΔHa) were all positive indicating the endothermic nature of the aluminium dissolution process. The obtained values of Gibbs free energy (ΔGads) was in the range of -17.94 to -18.27 kJ mol-1. Kinetics of the reaction in the presence of the inhibitor revealed that it follows a first order reaction. The value of rate constant (k) was reduced from uninhibited acid to the inhibited acid solution, while the half-life values in the presence of the inhibitor were higher compared to the value in uninhibited acid solution suggesting that inhibition efficiency increases with increase in the concentration of the inhibitor. Index Terms: Aluminum, benzaldehyde, FT-IR analysis, kinetic parameters, thermodynamic parameters and weight loss. © 2019 Published by MECS Publisher. Selection and/or peer review under responsibility of the Research Association of Mode rn Education and Computer Science * Corresponding author. E-mail address: musahusaini36@gmail.com