Iraqi Journal of Chemical and Petroleum Engineering Vol.17 No.1 (March 2016) 61- 70 ISSN: 1997-4884 Synergistic Effect of Potassium Iodide on Inhibitive Performance of Propyl Alcohol during Corrosion of Mild Steel in 1.0M HCl Aprael. S.Yaro, Basma A. Abdul Majeed, and Elaf Q. Atiyah Chemical Engineering Department-College of Engineering-University of Baghdad-Iraq Abstract The inhibition of mild steel corrosion in 1.0M HCl by 1-propanol and the synergistic effect of potassium iodide (KI) was investigated using weight loss and polarization techniques in he e e e ge 3 5 matrix of Doelhert to three factors was used as the experimental design, adopting weight loss results as it permits the use of the response surface methodology which exploited in determination of the synergistic effect as inhibition on the mild steel. The results were confirmed using electrochemical polarization measurements. Experimental results showed that the inhibition efficiency (IE%) increases with increase in concentration of inhibitor and with increasing of temperature. The addition iodide ions to alcohol (inhibitor) enhanced the inhibition efficiency due to synergistic effect. Potentiodynamic polarization studies showed that the studied compound is mixed-type inhibitor causing blocking of active sites on the mild steel surface .The adsorption of the inhibitor and its combination with iodide ions on mild steel surface followed Langmuir adsorption isotherm via physisorption mechanism, which was proposed based on values of adsorption Gibbs free energy difference ΔGads. Statistically, the multi-variable regression equation describes the behavior of the corrosion inhibition process with high accuracy (correlation coefficient R 2 between 0.974 and 1). Key Words: Acid Corrosion, Synergistic Effect, Mild Steel, Potentiodynamic Polarization, Weight loss Method, Doelhert Design Introduction Despite mild steel has a relatively high cost; it is widely used in collective amounts in chemical processing, petroleum production and efi i g, co s c io d etal processing equipment, and marine applications. These applications usually stimulate corrosion attack on metallic equipment, pipelines and tubes made of iron and its alloys, especially in acidic environments [1]. The study of corrosion inhibition of mild steel in acid solutions have practical importance because that acid solutions are widely used in many industrial processes such as acid pickling of metals , acid cleaning of boilers, scale removal in metallurgy and oil well acidizing. To minimize the metal loss during this process different corrosion inhibitors are used in corrosive solutions. Some organic compounds are found to be effective corrosion inhibitors for many metals Iraqi Journal of Chemical and Petroleum Engineering University of Baghdad College of Engineering Synergistic Effect of Potassium Iodide on Inhibitive Performance of Propyl Alcohol during Corrosion of Mild Steel in 1.0M HCl 62 IJCPE Vol.17 No.1 (March 2016) -Available online at: www.iasj.net and alloys in acidic media. These act as corrosion inhibitors according to their functional groups (effective groups), which are adsorbed on the metal surface. The adsorption of these organic molecules depends mainly on some physic-chemical properties of the inhibitor such as the functional group, steric factor, aromaticity, electron density at the donor atoms and p- orbital character of donating electrons [2 4], and the electronic structure of the molecules [5]. The adsorption ability of organic cations is increased by the addition of halide ions to the corrosive media. Interconnecting bridges between the negatively charged metal surface and the cations of inhibitor are formed. Synergism is an effective approach to enhance the inhibition efficiency of the inhibitors to decrease the dosage of organic compounds and to diversify the application of the inhibitors in acidic media [6]. The order of synergism of halide ions is I - ˃ Br - ˃Cl - [7] because it has larger size and easy polarizability, I - ions are chemisorbed on the metal surface and provide better synergistic effect [8]. Experimental Method A mild steel sheet was used as working electrode of 2cm (width), 3cm (length), and 0.1cm (thickness) in weight loss method. Area bout (4.97cm²) was used for polarization method. The following composition (Wt %) Si – 0.01, Al – 0.004, Cu – 0.055, Mn – 0.346, Mo – 0.002, Cr – 0.035, Ni – 0.056, Co – 0.007, P – 2, S 21, 67, d he balance Fe. The aggressive medium (1.0M HCl) was prepared by dilution of analytical grade 37% HCl, and appropriate concentrations of inhibitor were obtained using distilled water. Weight Loss Method The specimens were smoothened by emery papers and then cleaned with tap water, distilled water, benzene and acetone. After that they were dried and weighed on a digital scale. Each of the specimens is designated and its initial weight is noted. After each test, the specimen was washed with running tap water, scrubbed with a brush to remove corrosion products, then washed with tap water followed by distilled water and dried on clean tissue, immersed in benzene, dried, immersed in acetone, dried and left in a desiccators over silica gel until use. The time of immersion in HCl solutions was four hours. Polarization Technique The electrochemical cell was composed of graphite counter electrode, prepared mild steel specimen as working electrode and saturated calomel electrode (SCE) as a reference electrode. The corrosion potential (Ecorr) was measured against SCE. The corrosion cell parts were joined to each other, and then connected to potentiostat (TACUSSEL type PRT 10-05, France), ammeter and voltmeter. Starting with cathodic polarization until it reaches the corrosion potentials, then continuing with anodic polarization. The potential was changed (20-25mV) for each step after one minute period the current was recorded. Results and Discussion 1- Weight Loss Method Corrosion inhibition (IE%) efficiency calculations from weight loss data were performed according to equation: IE (%) = *100 … 1 Aprael. S.Yaro, Basma A. Abdul Majeed, and Elaf Q. Atiyah -Available online at: www.iasj.net IJCPE Vol.17 No.1 (March 2016) 63 where Wo and W are the weight loss of mild steel in the absence and presence of inhibitor, respectively. Table (3) display the applied Doehlert matrix design [9]. The i i hi i io efficie c fo 1- o o s o i ed i h ese ce 367M of coho , d 4M KI, 5 I is 94 s sho i e (2). It is clear that the addition of KI enhanced the inhibition efficiency and this indicates a synergistic effect between 1-propanol with KI. The formula used for calculation of the number (N) of experiments required is (N=n 2 +n+ no), where (n) is the number of variables and (no) is the number of center points[10]. A quadratic polynomial model is established to evaluate the effect of the three factors on the response: Y = b0 + b1X1 + b2X2 + b3X3 + b4X1X2 + b5X1X3+ b6X2X3 + b7X1 2 + b8X2 2 + b9X3 2 … 2 Where: Y: inhibition efficiency; X1, X2 and X3: independent variables representing the concentration of KI, the concentration of alcohol and temperature of the solution, respectively; b0: constant; b1, b2 and b3: coefficients reflecting the effect of factors X1, X2, and X3; b4, b5, and b6:coefficients reflecting the interaction between two factors X1X2, X1X3and X2X3 ; b7, b8 and b9: coefficients reflecting the influence of quadratic X1,X2, and X3[11]. Table(1) represents the low and high levels factor, the matrix of the Doelhert design and results are shown in table (2) . Table 1, Factors and levels used in Doelhert experimental design. Variable Low level High level KI Conc.(M) X1 0.03 (-1) 0.07(+1) Propanol Conc.(M) X2 0.1 (-1) 0.5(+1) Temp.( 0 C) X3 30 (-1) 50(+1) The centers and the variation steps for the three studied factors are shown in table (3) according to Doelhert experimental design. Table (2) Center and variation step of parameters. Factor Unit Center Variatio n step X1 Temp. ◦ C 40 10 X2 Alcohol conc. M 0.3 0.2 X3 KI Con. M 0.05 0.02 The results were analysed using the analysis of variance as appropriate to experimental design used. The regression equations obtained for 1- propanol after analysis of variance gives the levels of corrosion inhibition of mild steel as function of the three variables: Temperature (X1), Alcohol concentration (X2), and KI concentration (X3). All terms were included in the following equations: Y1= 0.034 + 4.28X1 + 0.239X2 + 248X3 1 25X1X2 – 0.117X1X3 – 0.0137X2X3 +9.1X1 2 +0.551X2 2 0.000075X3 2 … (3) Where: Y1 is the response, that is corrosion inhibition of mild steel, and X1, X2, and X3 are the real values of the test variables, Temperature (X1), Alcohol concentration (X2), and KI concentration (X3), respectively. Synergistic Effect of Potassium Iodide on Inhibitive Performance of Propyl Alcohol during Corrosion of Mild Steel in 1.0M HCl 64 IJCPE Vol.17 No.1 (March 2016) -Available online at: www.iasj.net 2- Polarization Technique Tafel extrapolation method can be applied in order to obtain representative values of the corrosion rate in 1.0MHCl solution. The polarization profiles of mild steel in 1.0M HCl solution at 30, 40, and 50°C for various alcohol concentrations in the absence and presence of KI are shown in figures (1) through (3). The presence of increasing amounts of of 1-propanol led to a decrease in both the cathodic and anodic current densities. The addition of alcohol reduced anodic dissolution and also retarded the hydrogen evolution reaction, indicating that alcohol is a mixed-type inhibitor and controls both the anodic and cathodic reactions. The decrease in (icorr) value was due to the adsorption of the inhibitor molecules [12].The values of electrochemical parameters such as corrosion potential (Ecorr), corrosion current density (icorr), anodic and cathodic slopes ( and corresponding efficiencies were calculated from Tafel plots (table(4)).From the polarization curves it was noted that the curves were shifted toward lower current density region without significant change in corrosion potential. The maximum shift obtained (28mV) was another reason proved that the investigated compound behaved as mixed-type of inhibitor. βc values increased with the increase in concentration of inhibitor compound and the presence of KI[13- 16]. Table 3, Experimental design based on Doehlert matrix in the study of the corrosion inhibition of carbon steel using 1-propanol alcohol and KI synergistic effect, in 1M HCl. Exp. No. Coded Variable Real Variable Inhibition Efficiency (IE%) XI KI conc. X2 Alcohol conc. X3 Temp. XI KI conc. X2 Alcohol conc. X3 Temp. 1 +1 0.0 0.0 0.07 0.3 40 85.08 2 -1 0.0 0.0 0.03 0.3 40 84.03 3 +0.5 +0.866 0.0 0.06 0.5 40 84.69 4 -0.5 -0.866 0.0 0.04 0.1 40 89.20 5 +0.5 -0.866 0.0 0.06 0.1 40 89.70 6 -0.5 +0.866 0.0 0.04 0.5 40 85.67 7 +0.5 +0.289 +0.816 0.06 0.367 50 92.49 8 -0.5 -0.289 -0.816 0.04 0.233 30 72.26 9 +0.5 -0.289 -0.816 0.06 0.233 30 73.66 10 0.0 +0.577 -0.816 0.05 0.433 30 80.65 11 -0.5 +0.289 +0.816 0.04 0.367 50 94.10 12 0.0 -0.577 +0.816 0.05 0.167 50 93.05 13 0.0 0.0 0.0 0.05 0.3 40 85.18 14 0.0 0.0 0.0 0.05 0.3 40 84.15 15 0.0 0.0 0.0 0.05 0.3 40 89.48 Aprael. S.Yaro, Basma A. Abdul Majeed, and Elaf Q. Atiyah -Available online at: www.iasj.net IJCPE Vol.17 No.1 (March 2016) 65 Table 4, Corrosion parameters for mild steel in 1M HCl at different temperatures, different concentrations of 1-Propanol, with and without 0.05M KI Inhibitor Conc.(M) Temp. Ecorr (mV) icorr (mA/cm 2 ) βc (mV/dec) βa (mV/dec) IE% 1M HCl 30 -502 0.239 -75.12 64.83 0.1 -508 0.146 -84.17 58.33 38.91 0.1+0.05M KI -506 0.0706 -108.6 46.52 70.46 0.3 -515 0.099 -94.75 42.33 58.58 0.3+0.05M KI -497 0.055 -113.9 42.02 76.98 0.5 -500 0.079 -89.46 31.46 66.94 0.5+0.05M KI -474 0.0444 -183.4 93.61 81.42 1M HCl 40 -492 0.373 -83.43 48.78 0.1 -503 0.244 -85.64 49.68 34.58 0.1+0.05M KI -491 0.051 -85.16 50.53 86.33 0.3 -502 0.159 -109.8 54.67 57.37 0.3+0.05M KI -500 0.0659 -94.93 60.24 82.33 0.5 -498 0.126 -90.6 42.49 66.21 0.5+0.05M KI -489 0.0676 -75.87 40.19 81.87 1M HCl 50 -494 0.716 -72.98 48.67 0.1 -500 0.484 -80.38 34.79 32.40 0.1+0.05M KI -490 0.0396 -85.2 46.38 94.47 0.3 -486 0.367 -83.76 35.43 48.47 0.3+0.05M KI -503 0.0467 -97.33 55.42 93.47 0.5 -495 0.255 -79.7 29.06 64.39 0.5+0.05M KI -489 0.0426 -75.87 40.19 94.05 Fig. 1, Tafel polarization curves for corrosion of mild steel in 1M HCl at 30°C in the presence of different concentrations of 1-propanol (P) with and without 0.05M KI. Fig. 2, Tafel polarization curves for corrosion of mild steel in 1M HCl at 40°C in the presence of different concentrations of 1-propanol (P) with and without 0.05M KI. Synergistic Effect of Potassium Iodide on Inhibitive Performance of Propyl Alcohol during Corrosion of Mild Steel in 1.0M HCl 66 IJCPE Vol.17 No.1 (March 2016) -Available online at: www.iasj.net Fig. 3, Tafel polarization curves for corrosion of mild steel in 1M HCl at 50°C in the presence of different concentrations of 1-propanol (P) with and without 0.05M KI. 3- Corrosion Kinetic Parameters The temperature effect o he co osio e e s of i d s ee i 1 M H s s died 3 , 4 , d 5 The i hi i io ech is c e concluded by comparing the activation energy values in the presence and absence of the inhibitor. The plots of Arrhenius or transition state were used to calculate the activation energy (Ea), activation enthalpy (ΔHa), and activation entropy (ΔSa) for the corrosion of mild steel in 1.0 M HCl with and without inhibitor. The activation energy can be obtained by Arrhenius equation and Arrhenius plot [17]: icorr v= … (4) Where: icorr is the corrosion current density (taken from polarization measurements) in mA/cm 2 , A is the electrochemical constant(Arrhenius constant), Ea is the activation energy in J/ mol, R is the gas constant (8.314 J/ mol. K) and T is temperature in K. Using the logarithm: lnicorr = ( )( )+lnA … (5) The graph of lnicorr against 1000/T gives a straight line with a slope of (‒Ea/R). Figure (4) shows the Arrhenius plots for mild steel in 1.0 M HCl with different concentration of 1- propanol with and without 0.05M KI.(Ea) values were calculated and tabulated in tables (5). The transition state equation was used to calculate the ΔHa and ΔSa: icorr = exp( exp( … 6 Whe e: N is vog d o’s e (6.02×10 23 mol -1 d h is P ck’s constant (6.63 × 10 -34 m 2 kg s -1 )[17]. The activation energy is a temperature dependent quantity as follows: Ea = ΔHa ‒ TΔSa … 7 Equation (5) was rearranged to become: ln( )=( +[ln( + ]... (8) A plot of ln (icorr/T) against 1000/T gave a straight line with a slope of (- ΔHa/R) and intercept of [ln (R/Nh)+(ΔSa/R)] as shown in Figures (4) and (5). ΔHa and ΔSa values were calculated and tabulated in table (5). From Table (5) the activation energy (Ea) increased in the presence of the inhibitor. (Ea) increasing with the presence of1-propanol indicated a physical (electrostatic) adsorption occurred in the first stage. Both the inhibitors are organic compounds that are easily protonated to give a cationic form in acid medium. The values of (Ea) were greater than 20 kJ mol 1 in the presence of alcohol, which Aprael. S.Yaro, Basma A. Abdul Majeed, and Elaf Q. Atiyah -Available online at: www.iasj.net IJCPE Vol.17 No.1 (March 2016) 67 indicates that the entire process is controlled by the surface reaction [18]. The values of ΔHa and Ea were nearly the same and higher in the presence of alcohol. This indicates that the energy barrier of the corrosion reaction increased in the presence of the inhibitor without changing the mechanism of dissolution. The positive values of ΔHa for both corrosion processes with and without the inhibitor show the endothermic nature of the mild steel dissolution process and indicate that the dissolution of mild steel is difficult [19,20]. The increase in ΔSa values in the presence of inhibitor with and without KI indicated that the process of adsorption was spontaneous [16]. Fig.4, Arrhenius plots for mild steel in 1.0 M HCl with different concentrations of 1-propanol at different temperatures. Fig. 5, Transition state plots for mild steel in 1.0 M HCl with different concentration of 1-propanol at different temperatures. Table 5, Corrosion kinetic parameters for mild steel in 1.0 M HCl and different concentration of 1-propanol in the presence and absence of 0.05M KI Inhibitor Conc.(M) Ea (kJ/mol) ΔHa (kJ/mol) ΔSa (kJ/mol.K) 1M HCl 44.54 41.93 -118.87 0.1 48.66 46.07 -109.33 0.3 53.13 50.52 -98.11 0.5 47.55 44.95 -118.15 0.1+0.05M KI 23.55 -26.14 -353.43 0.3+0.05M KI 6.418 -9.02 -215.08 0.5+0.05M KI 19.29 -21.9 -338.96 4- Adsorption Isotherm Adsorption isotherm calculations of 1-propanol on the mild steel surface were performed to investigate the mechanism of corrosion inhibition in the presence and absence of 0.05M KI. F c io cove ge v es θ e e obtained from polarization measurements to yield the isotherm. Totally, isotherms adsorption provides data about the interaction among the adsorbed molecules themselves and their interactions with the electrode surface [21]. The fraction coverage θ is calculated using the following equation: … 9 Where: and are the corrosion current densities in the absence and presence of the additive compounds. In order to study the different types of adsorption isotherm models, the Temkin, Frumkin and Langmuir models have been plotted. Synergistic Effect of Potassium Iodide on Inhibitive Performance of Propyl Alcohol during Corrosion of Mild Steel in 1.0M HCl 68 IJCPE Vol.17 No.1 (March 2016) -Available online at: www.iasj.net According to the R 2 values obtained from the linear graph, it was confirmed that the adsorption of the two compounds on a mild steel surface best fitted the Langmuir adsorption isotherm (which assumes that the metal surface contains a fixed number of adsorption sites and each one holds one adsorbed species) model which is represented by equation (9): … 9 where: Cinh is the concentration of inhibitor and Kads is the adsorption constant which is related to the standard free energy adsorption, ΔG°ads, as follows [22]: ΔG°ads = -RT ln(55.5Kads) … (10) The value of 55.5 is the molar concentration of water in the solution. The plot of Cinh/θ g i s i h i figures (6) through (8) yields a straight line and this supported the assumption that the adsorption of the each applied inhibitor in the presence and absence of KI on a mild steel surface in 1.0 MHCl solution obeys the Langmuir adsorption isotherm. The i c e si g v e of ΔG°ads and Kads in the presence of KI reflects the increasing adsorption capability and the negative value of ΔG°ads indicates spontaneous adsorption of inhibitor molecule on the metal surface[21]. It is well known that large values of Kads mean better inhibition efficiency of the inhibitor, i.e., strong electrostatic interaction between the negatively charged metal surface and the positively charged entities of the adsorbing inhibitor molecules. ΔG°ads and Kads values are tabulated in table (6): Fig. 6, Adsorption isotherms for mild steel in1.0 M HCl in different co ce io s of 1- o o coho 3 i the presence and absence of 0.05M KI Fig. 7, Adsorption isotherms for mild steel in 1.0 M HCl in different co ce io s of 1- o o coho 4 i he resence and absence of 0.05M KI Fig. 8, Adsorption isotherms for mild steel in 1.0 M HCl in different concentrations of 1-propanol alcohol at 5 i he resence and absence of 0.05M KI Aprael. S.Yaro, Basma A. Abdul Majeed, and Elaf Q. Atiyah -Available online at: www.iasj.net IJCPE Vol.17 No.1 (March 2016) 69 Table 6, Corrosion parameters for mild steel in 1.0 M HCl and 1-propanol alcohol in the presence and absence of 0.05M KI. Inhibitor Temp.°C Kads ΔG° ds (KJ/mol) 1-propanol 30 7.194 -15.09 40 5.618 -14.94 50 4.61 -14.89 1-propanol +KI 30 37.04 -19.22 40 166.67 -23.77 50 14285.7 -36.48 Conclusions 1- A 1-propanol acts as moderate inhibitor for mild steel in 1.0 MHCl. 2- Potentiodynamic polarization and weight loss studies showed that the 1-propanol is mixed-type inhibitors. 3- The inhibition efficiency increases with increase in concentration of both inhibitor and with increasing of temperature. 4- The addition of iodide ions to 1- propanol (inhibitor) enhanced the inhibition efficiency due to synergistic effect. 5- The adsorption of inhibitor (1- propanol) alone and in combination with iodide ions obeys Langmiur adsorption isotherm. 6- The thermodynamic parameters calculated from the adsorption isotherm showed that physisorption is involved in the inhibition process, which was proposed based on values of ΔG°ads. 7- Statistically, the multi-variable regression equations describes the behavior of the corrosion inhibition process with high accuracy (correlation coefficient R 2 between 0.984 and 1). 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