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1. Introduction
Polymerization system modeling is difficult because of its high complexity. Nevertheless, the mathematical model is a powerful tool for studying and understanding the phenomena involved in the polymerization process and improving the physical properties and features of polymers and their manufacturing processes.
Reactive systems of acrylonitrile (AN) and vinyl acetate (VA) have been used to prepare low-cost acrylic fibers and carbon fiber precursor fibers. AN is widely used as a raw material for the production of various products used in everyday life, such as stamens, auto parts, plastics, and synthetic gum. Polyacrylonitrile (PAN) is also a very common polymer; for example, it is used as a cathode in batteries [1], precursor of textile fibers [2, 3], and high-efficiency fibers (i.e., carbon fibers) because of its exceptional mechanical properties, attributed to its aligned molecular structure [4]. Furthermore, VA can be employed with AN to obtain a copolymer whose solubility facilitates extrusion and alters the shape and characteristics of the acrylic fiber [5]. VA can modify the properties of polymers owing to its unsaturated structure.
In this direction, it is convenient to indicate that several techniques can be used to perform copolymerization reactions. Suspension and solution polymerizations are the most widely used methods because of their high purity, easy temperature control, and narrow polydispersity. The solution polymerization technique involves the action of a solvent along with other reactive species, such as free monomers, oligomers, and charge-transfer complexes.
The charge-transfer complex (CTC) is a chemical compound derived from or composed of reagents that can be present in different reaction systems and exhibits interesting behavior over the polymer chain structure and the reactivity of all reactive species involved in polymerization.
In the characterization of polymers, it is possible to use spectrophotometric analysis techniques. Several reactive species detected by these techniques, which had not been usually considered in the study of polymerization reactions because their existence has not been recognized, began to be included to describe their presence in the reaction of polymers and to explain several phenomena observed during the reaction. Such is the case of CTCs, and when verifying that their formation was given by several monomers, studies began to be carried out and mathematical models were developed that made it possible to explain that certain characteristics of polymers (e.g., the alternate structure of the polymer chain) were due to the presence of complexes. Rivero and Etchechury [6] have discussed the role of CTCs in the polymerization process, considering the propagation step in which the CTC takes part due to high reactivity. They proposed a terpolymerization model that included CTCs in the terpolymerization process using vinyl chloride, vinyl acetate, and maleic anhydride. Rao et al. [7] studied the methyl methacrylate complex and proposed that the participation of CTCs in the initiation step significantly affects the conversion and average molecular weight. Garra et al. [8] and Wang et al. [9] considered CTCs in the initiation step as initiators of photopolymerization reactions.
In this study, an analytical solution was obtained for the model of free radical solution copolymerization in a continuous stirred tank reactor (CSTR). For the case of AN-VA systems, CTC formation was considered and included in the copolymerization process. With the incorporation of CTCs, a new reaction mechanism has been proposed, which details how polymerization occurs. This represents an excellent alternative for improving the prediction of the properties and characteristics of polymers from mathematical models, which allow the design of new and better acrylic materials and carbon fiber precursors, as in this case. The formation of CTCs between AN and VA was corroborated and included in the propagation steps. Kinetic constants (i.e., propagation rate constants) were determined. Finally, a parametric analysis of this model was carried out, and it was validated by experimental copolymerization results.
2. Experimental Section
2.1. Materials
Acrylonitrile (>99%, Aldrich), vinyl acetate (>99%, Aldrich), ammonium persulfate (99.3%, J. T. Baker), and N, N-dimethylformamide (99.97% J. T. Barker) were used as received.
2.2. Charge-Transfer Complex Formation and Its Verification
A Genesys Thermo Scientific spectrophotometer (series 840-208100), with a wavelength range of 190–1100 nm and an accuracy of ±1.0 nm, was used to determine the formation of CTCs.
As indicated, CTCs are chemical species that are formed between two monomers, one electropositive and the other electronegative, which are compounds joined by van der Waals forces, and charge transfer occurs towards an orbital of the electronegative compound. In this case, the electropositive monomer was acrylonitrile (AN), whereas the electronegative compound was vinyl acetate (VA). The mechanism of complex formation is shown in Figure 1.
[figure(s) omitted; refer to PDF]
CTC formation was verified using the technique proposed by Olson and Butler [10]. This method consists of obtaining the UV-VIS absorbance spectra of solutions of two monomers that will form the CTC individually at a defined concentration and their mix. The absorbance spectra of the mixture were compared with those of the individual monomers, and if there was an increase in the absorbance of the mixture with respect to monomers, it was attributed to the formation of a CTC due to interactions between the electron acceptor and donor, creating a new structure where the energy gap is lower than that of the donor and acceptor [9].
2.3. Experimental Determination of CTC Formation Equilibrium Constants
The formation equilibrium constants of the complexes were obtained using the UV-VIS method, called the molar ratio reported by Skoog et al. [11]. This method consists of mixing the monomer electron acceptor with the donor that will form the CTC, varying the “monomer donor concentration” (
2.4. Estimation of CTC Propagation Rate Constants
Polymerization reactions of AN with VA were performed to determine the CTC propagation constant rate. In the reaction system, AN-VA feed monomer ratios of 4.0 pp%–15.0 pp% were used to determine the overall polymerization rate for 15, 30, 45, and 60 min at 50°C. The obtained copolymers were washed several times with deionized water and dried to a constant mass. Copolymer conversion was determined by the ratio of the monomers in the feed to the total mass of the copolymer. The copolymer composition was obtained using the infrared method by Mas-Gilbert et al. [12], where an FTIR Thermo Scientific Nicolet iS10 FTIR spectrometer was applied. The average molecular weight was obtained by viscosity using an Ubbelohde viscometer and the Mark–Houwink equation with the parameters of N, N-dimethylformamide and AN at 25°C.
2.5. Continuous Stirred Tank Reactor Experiment
The polymerization reactions were carried out in a 100 mL experimental reactor heated in a thermal bath at a constant temperature of 50°C. The monomers (AN and VA), initiator (ammonium persulfate), and solvent (N, N-dimethylformamide) were fed to the reactor using a peristaltic pump, and the reactor exit was fed by the overflow principle. The fluxes were established until a steady state was reached with residence times of 20, 30, 45, and 60 min. The obtained copolymers were characterized in terms of their conversion, molecular weight, and composition. The copolymer properties were determined in the same manner as the conversion, molecular weight, and composition, as described in Section 2.4.
3. Results and Discussion
3.1. Formation of CTC Complexes
In this case of study, the donor was AN and VA was the acceptor because the oxygen atoms in the structure of VA are more electronegative than carbon (C) and hydrogen (H) atoms, allowing the attraction of electrons to VA. According to the theory of molecular orbitals, the acceptor has the lowest unoccupied molecular orbital (LUMO) and the donor has the highest occupied molecular orbital (HOMO). When the acceptor and donor are mixed, they create a structure with an energy gap between the LUMO and HOMO that is smaller than that between the donor and acceptor monomers [8]. Therefore, the increase in the absorbance spectra of the mixtures was due to CTC formation.
Various solutions were prepared for AN and VA, with different concentrations of VA (4.0%–15.0% mass feeding) and the rest of AN. Figure 2 shows the absorbance spectra of the copolymers in the 294–400 nm wavelength range [10]. It can be observed that the absorbance at 294 nm increased with the AN concentration.
[figure(s) omitted; refer to PDF]
3.2. Estimation of CTC Propagation Rate Constants
The rate constant of CTCs was obtained with the model for the simultaneous participation of free monomers and the complexes, which was proposed by Braun and Hu [13]. This approach to obtain the CTC propagation rate constants is an approximate method in which the experimental data are fitted to linear models to calculate the numerical values of the rate constants.
The sum of contributions of free monomers (
The results of the experiments are shown in Figures 3 and 4, where each graph contains a straight-line equation for obtaining A(X) and F(X) values. Those values were used for calculating the
[figure(s) omitted; refer to PDF]
Table 1
Determination of kinetic constants of AN/VA (
1.96 | 0.0009 | 0.67 | 25.97 |
3.12 | 0.0011 | 0.82 | 31.87 |
5.37 | 0.0002 | 1.50 | 58.43 |
11.84 | 0.0003 | 2.33 | 90.89 |
[figure(s) omitted; refer to PDF]
According to equation (5) and Figure 4, the following relative reactivities were calculated:
3.3. Description of the Reaction Mechanism
The modeling of polymerization reactions generally focuses on describing the reaction evolution in terms of monomer conversion and molecular weights. In this case, the free radical solution polymerization (SP) mechanism is used to consider each step of the reaction mechanism and chain transfer terms to the solvent in the termination step, which is an important characteristic of SP.
Equations (6)–(22) are common expressions of the copolymerization free radical mechanism considering the participation of free monomers and the charge-transfer complex [6].
3.3.1. Initiation
3.3.2. Propagation
3.3.3. Equilibrium of Complexes
3.3.4. Termination
3.3.5. Chain Transfer
Equations (11), (12), (15), and (16) are the terms of CTCs in the reaction mechanism that can only act on the propagation stage in this case.
3.4. Modeling of the Continuous Stirred Tank Reactor
All rate equations obtained from the reaction mechanism, equations (6)–(22), must be considered when designing the reactor. The equations obtained from the mechanism were reduced using the hypothesis of the large chain (LCH) and quasi-stationary state (QSSA). LCH states that growing chains are considerably longer; consequently, the initiator term is negligible, and the composition of the entire polymer mass is essentially the same. QSSA assumes that the termination rate is greater than the initiation rate, which minimizes the formation of new growing chains and increases the relevance of propagation velocity in the polymerization rate equations. Therefore, the terms of
Equations (24)–(26) are the rate equations for the initiator and monomers 1 and 2, respectively. All these equations were obtained from equations (6)–(22), including the terms of CTCs, which consume monomers in equations (25) and (26) and consume and generate new radicals in equations (27) and (28). The terms of equation (29) correspond to the termination steps. Consequently, equations (30) and (31) were used to calculate the concentration of the polymers with termination of M1 and M2:
3.5. Reactor Design Equations
Perfect mixing was considered for the development of the CSTR model, which takes the following form:
The rate constants in their regular form are given by
A summary of the meaning of the variables can be found in Abbreviations.
Table 2 lists the parameters used in the simulations carried out in this study [14–16]. The gel effect was not significant because of the conditions tested in the experiments. To simplify the model resolution, equations (30), (31), and (32)–(37) are dimensionless term by term, and equations (43)–(48) are the results of this mathematical reformulation. The resolution of these equation systems is totally analytical considering steady-state and gives the results in terms of various operative variables such as monomer conversion, average molecular weight, and the mole fraction of the comonomer.
Table 2
Kinetic parameters used for reactor modeling.
Monomer 1 (AN) [14] | ||
Monomer 2 (VA) [15] | ||
Copolymerization [16] | ||
Ep22: propagation energy of monomer 2, Et22: termination energy of monomer 2, Ep12: propagation energy of growing radical P with monomer 2, Ep21: propagation energy of growing radical Q with monomer 1, kp11: propagation monomer 1 rate constant, kp12: propagation growing radical P with monomer 2 rate constant, r1: copolymerization reactivity ratio 1.
3.6. Analytical Solution of the Reactor Model
This section first describes the parameters and variables used to convert equations (24)–(31) into dimensionless terms. Equations (43)–(46) correspond to the dimensionless versions of equations (32)–(37), whose resolution process is described in detail later. The resolution for the steady state of the CSTR reactor model considers that the terms of the derivatives in equations (43)–(46) must be equal to zero. Therefore, when solving the system of equations simultaneously, this fact is considered beforehand.
To use a dimensionless formulation, the set of variables is defined [15]:
The result of applying the dimensionless variables allowed us to obtain the following equations:
The equations of the analytical solution were obtained in terms of monomer conversion and various operating variables. This implicit solution must be resolved as follows:
A value of
3.7. Average Molecular Weight with the Moment Technique
Equations (50) and (51) represent the
The method of the moments can be applied to the kinetic reaction of radicals
The number average molecular weight is calculated using equation (52), which requires the zeroth and first moments of the dead polymer chains, while the weight average molecular weight needs the first and second moments of the dead polymer chains, as shown in equation (53):
A summary of the meaning of the variables can be found in Abbreviations.
3.8. Parametric Analysis on the Influence of the Main Process Variables
The model proposed in this paper calculates some operating variables of the polymerization reactor, such as the conversion, average molecular weight, and mole fraction of the comonomer in the polymer. According to the magnitudes of these variables, the final polymer obtained had some physical and chemical properties. Parametric analysis began by defining the feed concentrations of the reactants, solvent, initiator, and reaction temperature. As discussed above, the model requires a monomer 2 conversion value to calculate the values of the other process variables. Figures 6 and 7 show the results obtained from the analysis of the changes that occurred in various operating parameters. The continuous line is the model result for free monomer prediction, and the discontinuous line is the model prediction for CTCs.
[figure(s) omitted; refer to PDF]
Figure 6 shows a set of similar conversion values for Da numbers below 20. Note that the conversion of monomers changed abruptly for Da values above 20. However, in the model that considers the participation of free monomers, the change in monomer conversion is more significant than that in the model with CTCs. This indicates that the CTC model considers that monomer reactivity remains active throughout the reaction.
Figure 7 presents the variation in the conversion of monomer 1 versus that of monomer 2, where both models show similar behaviors. It should be noted that the CTC model predicts low conversions of x1 for x2 = 0.6 compared to the free monomer model. This suggests that monomer 1 at low x2 conversions is not sufficiently reactive.
Figure 8 shows the mole fraction of the comonomer within the polymer versus the conversion increase. A similar trend is observed for both models, suggesting that the amount of comonomer in the polymer was between 0.02 and 0.05. There is an intersection point between the predictions of both models, which indicates that there are certain reactive conditions where both models achieve equal predictions.
[figure(s) omitted; refer to PDF]
3.9. Comparison between Model Predictions and Experimental Data
The predictions of the mathematical model were compared with the experimental test results. To validate the mathematical model, the conversion of monomers was analyzed against the minutes of the residence time, average molecular weight versus monomer conversion of 2, monomer 1 conversion versus monomer 2 conversion, and the mole fraction of monomer 2 versus monomer conversion.
The CSTR experiments achieved a steady state after three times the residence time, and each experiment was reproduced 2 times. Figure 9 shows that the total monomer conversion increases with an increase in the residence time, similar to a straight line, while the simulation presents a small curvature. The experimental conversion in residence times at 20 and 30 min is below the model prediction, indicating that the model predicts more reactivity at this residence time. Figures 9 and 10 compare the model solution without considering the formation of the complexes in reaction kinetics, where the model was solved in the same way as the model involving the complexes.
[figure(s) omitted; refer to PDF]
As a result, the average molecular weight of the system decreased as
Figure 11 shows the changes
[figure(s) omitted; refer to PDF]
Figure 12 shows the mole fraction of monomer 2 in polymers (
[figure(s) omitted; refer to PDF]
Figures 9–12 indicate the difference between the predictions of the CTC model versus the predictions of the free monomer model, where the CTC model has better prediction than the model that does not consider CTCs.
4. Conclusions
CTC formation was observed under the experimental conditions used in this study. The charge-donor monomer would be AN, while VA would be a charge-receiving monomer owing to the electronegative tendencies of oxygen.
The rate constants of CTCs were calculated using experiments and equations (4) and (5), obtaining
The improvements that can be focused on the model are related to more phenomena that occur in the reactive system, such as micromixing effects in the reactor and the gel effect. In addition, it is important to compare other types of models, such as the terminal model and the antepenultimate model, and to check the effects of the use of different solution systems. Also, the performance of the proposed model can be improved by the application of dynamic data of tested reactive systems.
Acknowledgments
This study was supported by the National Technological of Mexico/Technological Institute of Aguascalientes under the CONACYT scholarship program.
Glossary
Abbreviations
A. Description of the Analytical Resolution Process of the Dimensionless Mathematical Model
The steady-state equations were solved as follows:
(i) First, the
where
(ii) Substituting the new expressions for A and B in equations (43) and (44) to simplify the system of equations, the following expressions are obtained:
where
(iii)
where
(iv) Substituting
where
(v) Assuming a value of
(vi) The values of
where
(vii) Finally, the mole fraction of monomers AN and AV in the polymer formed (
where monomer 1 composition is
Equation (A.17) is known as the Mayo–Lewis equation and is derived from the ratio of the consumption rate of each monomer to the total monomer consumption rate. This equation is defined as the instantaneous composition and is the composition of the polymer chain during a specific time [21].
B. Equations of Moments
The expressions of first- and second-order moments of chain length for the live radical chains are given by
The equations for the zeroth
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Abstract
In this study, a mathematical model of the copolymerization of AN-VA in a continuous stirred tank reactor (CSTR) was developed considering charge-transfer complexes (CTCs). CTC formation between acrylonitrile (AN) and vinyl acetate (VA) was demonstrated using UV-VIS spectrophotometry and molecular orbital theory. The rate constants and equilibrium constants of the complexes were calculated from a model of the simultaneous participation of complexes and free monomers and the molar ratio method. Furthermore, the participation of CTCs in propagation was included because of their high reactivity. All the simultaneous equations defined to analyze the reactor parameters were analytically solved, and the results of the model were in terms of operative variables such as monomer conversion, average molecular weight, and the mole fraction of monomer 2 (i.e., VA) in the polymer formed. The results of the predictions of the developed model were compared with the experimental data for validation. This prediction was also compared with the reactor model solution without considering the CTC, which showed deviations that were more significant than those of the CTC model. These results represent a quantitative way to analyze the order of magnitude of the impact of the formation of the complexes in the analyzed polymerization system.
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1 Tecnológico Nacional de México, Instituto Tecnológico de Aguascalientes, Aguascalientes 20256, Mexico
2 Cinvestav-Querétaro, Querétaro 76230, Mexico
3 Yucatan Scientific Research Center, Mérida, Yucatán 97200, Mexico