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ESTIMATION OF IGNITION TEMPERATURE FOR TWO KINDS OF ENERGETIC MATERIALS BY THERMAL ANALYSIS AND KINETIC EVALUATIONS
Резюме. Some kind of energetic materials are substantially unstable and decompose slowly during their storage at room temperatures. Decomposition releases heat and gases which cause decomposition processes was accelerated. This process reduces performance and storage lifetime. Also because of released heat, this process could results to an unsafe situation like unexpected thermal explosion. Thermal analysis is an important tool for evaluation thermal hazard of energetic materials. Kinetic calculations are done by thermal analysis and kinetic parameters are obtained by thermal analysis. Determination of thermal explosion temperature is very important. Our study is based on two kinds of methods, first Invariant Kinetic Parameters (IKP) method such as Iso-kinetic Point and second method is based on Kissinger method. In this article for two kinds of propellants ignition temperatures (\(T_{\text {ign }}\) ) were calculated from TGA experiments in some various heating rates. At final part, this temperature was validated by Differential Scanning Calorimetry (DSC) experiments at isothermal mode. Experimental results are shown that IKP method predicted more accurate results than Kissinger method.
Ключови думи: ignition, thermal analysis, energetic materials, isokinetic, invariant kinetic parameters
Introduction
Some kinds of energetic materials are thermodynamically unstable. Storing them always raises the question about which is the highest permitted temperature to meet (Herder et al., 2003; Janković & Mentus, 2008; Popescu et al., 2003). The propellants are one category of energetic materials which decompose slowly at ambient temperatures. The rate of decomposition increases exponentially with temperature and the products of decomposition are usually dissipated to the surroundings. Above certain temperatures, the dissipation process cannot take over all the produced energy and the explosive begins to self-heating. The lowest temperature at which selfheating was occurs, explosion initiation of the propellant is done. Thermal analysis is useful tool for investigation of decomposition kinetic and interpretation of kinetic parameters. Evaluation of kinetic parameters from thermal analysis is based on two kinds of methods - model free and model fitting methods. Model free evaluation is independent of reaction model and is done by iso-conversional methods (Khawam & Flanagan, 2006; Lesnikovich et al., 1992). Model fitting methods are based on different kinds of reaction models (Khawam & Flanagan, 2006; Lesnikovich et al., 1992; Wang et al., 2015; Yan et al., 2013). A model is a theoretical-mathematical description of what occurs experimentally (Khawam & Flanagan, 2006). One of the model free methods is Kissinger. Harris (Lesnikovich et al., 1992; Wang et al., 2015; Yan et al., 2013; Vyazovkin et al., 2011) suggested using Kissinger method (Wang et al., 2015; Yan et al., 2013) for calculation of activation energy (\(E\) ) and pre-exponential factor \((A)\). Kissinger's method is described by:
(1) \[ \ln \tfrac{\beta}{T_{p}^{2}}=-\tfrac{E_{a}}{R T_{p}}+\ln \tfrac{A R}{E_{a}} \]
where \(\beta=\mathrm{dT} / \mathrm{dt}\) is heating rate (\(\mathrm{K} / \min\) ), \(\mathrm{T}_{\mathrm{p}}\) is peak temperature (\(K\) ), \(E_{\mathrm{a}}\) is the activation energy (\(\mathrm{J} / \mathrm{mol}\) ) of thermal process, \(R\) is the gas constant (\(8.314 \mathrm{~J} / \mathrm{mol} . \mathrm{K}\) ) and \(A\) is the pre-exponential factor (\(\mathrm{s}^{-1}\) ). By plotting \(\ln \tfrac{\beta}{T_{P}^{2}} \ln \tfrac{\beta}{T_{P}^{2}}\) vs. \(\tfrac{11}{T_{P} T_{P}}\), the slop was giving \(E_{\mathrm{a}}\) a and the intercept was giving \(A\). A At zero heating rate, ratio \(E \beta / R T^{2}\) approximately equal to 0.1 so the peak value for zero heating rate are obtained by (Lesnikovich et al., 1992):
(2) \[ T=-\tfrac{E / R}{\ln A-\ln 0.1} \]
This temperature is stated to be the ignition temperature (\(T_{\text {ign }}\) ) (Lesnikovich et al., 1992).
Another method is based on isokinetic method. Like in all the kinetic studies the empirical relationship of the reaction rate for over-all process after substituting time with temperature (Vyazovkin et al., 2011):
(3) \[ \tfrac{d \alpha}{d T}=\tfrac{A}{\beta} f(\alpha) \exp \left(\tfrac{-E_{a}}{R T^{2}}\right) \]
where \(\alpha\) is the conversion degree or reaction progress, and \(f(\alpha)\) is the kinetic function. The reaction progress in each time \(\left(t_{\mathrm{i}}\right)\) or each t temperature \(\left(T_{\mathrm{i}}\right)\) for TGA experiment is calculated by Eq (4) (Surender et al., 2013; Koga et al., 2013; Rodnit et al., 2015):
(4) \[ \alpha=\tfrac{\left(m_{i}-m_{0}\right)}{\left(m_{f}-m_{0}\right)} \]
The total experimental data were obtained from a non-isothermal experiment can be then summed up as:
(5) \[ \left.\ln \left\lvert\,\left[\tfrac{\tfrac{d \alpha}{d T}}{f(\alpha)}\right] \beta_{j}\right.\right\rfloor=\ln A-\tfrac{E_{a} / R}{\left(T_{i}\right)_{j}} \]
By plotting \(\ln \left[\left[\tfrac{\tfrac{d \alpha}{d T}}{f(\alpha)}\right] \beta_{j}\right] \ln \left[\left[\tfrac{\tfrac{d \alpha}{d T}}{f(\alpha)}\right] \beta_{j}\right]\) versus \(\tfrac{11}{T_{i} T_{i}}\) for different kind of models, the slop and intercept give E and A at this model respectively. Reaction models which were used, listed in Table 1.
Table 1. Reaction models used for calculations
By using the experimental data (\(\mathrm{d} \alpha / \mathrm{d} T\) ), and various kinetic functions \(\mathrm{f}(\alpha)\) f for each heating rate \(\beta_{\mathrm{j}}\), one may plot a straight line. The group of all these straight lines forms, (Wang et al., 2015; Yan et al., 2013; Vyazovkin et al., 2011), a pencil of lines in the plane (X,Y) (Wang et al., 2015; Yan et al., 2013; Vyazovkin et al., 2011). The crossing point (or better saying crossing region) has coordinates that are invariant for all the straight lines which was plotted in that plane. These are called the invariant values of the kinetic parameters E and A, as they are not depending on the choice of the kinetic function any longer. By extrapolating to zero heating rate \(T_{\text {ign }}\) is determined (Renet et al., 2015; Vyazovkin et al., 2001).
Experimental
Two kinds of energetic material (Sample A and Sample B) were used for this study. In table 2, chemical composition of sample A and B are shown.
Table 2. Chemical composition of energetic materials
Nitrocellulose (NC) and Nitroglycerine (NG) are main components in gun propellants. Stabilizers such as 2-Nitro diphenylamine (2NDPA) are also added to improve stability of propellant and avoid autocatalytic decomposition of propellants. Di-butyl phthalate (DBP) is also added as plasticizer.
Thermal Gravimetry Analysis (TGA) is done by METTLER TOLLEDO TGA/SDTA 851 e1600 LF/MT5. Temperature range was (\(25^{0} \mathrm{C}-300^{0} \mathrm{C}\) ). For Sample A, heating rates are 10, 15, 20, 25 and \(30 \mathrm{~K} / \mathrm{min}\). For Sample B heating rates are 5, 10, \(15 \mathrm{~K} / \mathrm{min}\). Differential Scanning Calorimetery (DSC) analysis was done by Mettler TOLLEDO DSC 1 instrument. Both DSC and TGA experiments were done under \(50 \mathrm{ml} / \mathrm{min}\) flow rate of nitrogen as purge gas to remove evolved gasses from samples during experiment period.
Results
In Figs. 1 and 2 TGA curves for samples A and B are shown respectively. As shown in Fig. 1, thermal decomposition started from temperature \(\mathrm{T}=180^{0} \mathrm{C}\) and rapid mass loss is occurred between (\(185-210^{\circ} \mathrm{C}\) ). For sample B mass loss was occurred in two stages. First stage was up to \(150^{0} \mathrm{C}\) and for NG evaporation. Second stage is started from \(150^{0} \mathrm{C}\) and for thermal decomposition of NC and NG cf. Fig.2.
Fig. 1. TGA curves for sample A
Fig. 2. TGA curves for sample B
In Figs. 3 and 4 the reaction progress curves which were resulted from TGA experiments for samples A and B with different heating rates are shown respectively. The vertical axis is reaction progress and the horizontal axis is time (min).
Fig. 3. Reaction progress curves for the Sample A
Fig.4. Reaction progress curves for the Sample B
In Figs. 5 and 6 the reaction rate curves for sample A and B are shown. By increasing \(\beta\), peak temperature shifted to higher temperature.
Fig. 5. Reaction rate curves for sample A
Fig. 6. Reaction rate curves for sample B
As shown in Figs. 3 and 4, and described above, for sample A, reaction progress is rapidly increased between (\(185-210^{\circ} \mathrm{C}\) ). In this temperature range thermal decomposition occurred spontaneously. Shape of reaction progress curves, are shown that reaction pass through autocatalytic model. An autocatalytic reaction is a chemical reaction where a product also acts as catalyst (Herder et al., 2003). In such a reaction the observed rate of the reaction is often found to increase with conversion.
In the case of an autocatalytic decomposition an acceleration of the reaction with increasing conversion is observed (Fig. 5).
The corresponding reaction rate passes through a maximum and then decreases again. Furthermore, the acceleration period is often preceded by an induction period where no thermal signal and therefore no noticeable thermal conversion can be observed.
In Table 3, peak temperatures for DTG curves of sample A and B are shown.
Table 3. Peak temperatures for DTG curves of sample A and B
The peak temperatures for sample B is lower than sample A and these phenomena are related to different composition between these two samples.
In Figs. 7 and 8 plot of \(\ln \tfrac{\beta}{\mathrm{T}_{\mathrm{P}}^{2}}\) versus \(\tfrac{1}{\mathrm{~T}_{\mathrm{P}}}\) for sample A and B respectively are shown. In each curve a linear trendline is fitted.
The regression coefficient (\(\mathrm{R}^{2}\) ) for linear fitted trendline is about 0.8695 and 0.9759 for plots of sample A and B respectively. Kinetic parameters (E&A) and \(T_{\text {ign }}\) can calculate by using Eqs. (1) – (2).
Calculated activation energy (\(E\) a) and pre exponential factor (A) and \(T_{\text {ign }}\) for both samples A and B by Kissinger method is shown in Table 4.
Fig. 7. Plot of Ln (β/TP2) versus 1/TP for sample A
Fig. 8. Plot of Ln (β/TP2) versus 1/TP for sample B
Table 4. Calculated Kinetic parameters and \(T_{\text {ign }}\) for both samples A and B by Kissinger method
For sample A and B calculated isokinetic temperatures at various heating rates are shown in Table 5.
Table 5. Calculated Kinetic parameters and \(T_{\text {ign }}\left({ }^{0} \mathrm{C}\right)\) for both samples A and B by isokinetic method
According to Table 3 results, calculated \(\mathrm{T}_{\text {ign }}\) for sample A is about \(7.5\left({ }^{\circ} \mathrm{C}\right)\) higher than sample B.
Now \(\mathrm{T}_{\text {ign }}\) for samples A and B is calculated by Isokinetic Method.
In Figs. 9 and 10 plot of Isokinetic Temperature (\(T_{\text {iso }}\) ) versus heating rate for sample A and B respectively are shown. In each curve a linear trendline is fitted.
By extrapolating linear fitted trendline for Zero heating rate, \(T_{\text {ign }}\) is calculat ed and shown in table 4.For sample A and B extrapolated values of Tignare \(174.93^{\circ} \mathrm{C}\) and \(162.43^{\circ} \mathrm{C}\) respectively.
Fig. 9. Plot of Isokinetic Temperature (Tiso) versus heating rate for sample A
Fig. 10. Plot of Isokinetic Temperature (Tiso) versus heating rate for sample B
Data validation
For sample A and B sets of Differential Scanning Calorimetry DSC analysis is done. For Sample A, isothermal DSC measurements are done in three temperatures \(165^{0} \mathrm{C}, 170^{0} \mathrm{C}\) and \(175^{0} \mathrm{C}\). In Figs. 11 to 13 DSC curves for sample A are shown.
11. DSC curve for Sample A in isothermal mode at 165 0C
Fig. 12. DSC curve for Sample A in isothermal mode at 170 0C
Fig. 13. DSC curve for Sample A in isothermal mode at 175 0C
For sample B isothermal DSC measurements are done in two temperatures \(157^{\circ} \mathrm{C}\) and \(162{ }^{\circ} \mathrm{C}\). In Figs. 14 to 15 DSC curves for sample B are shown.
Fig. 14. DSC curve for Sample B in isothermal mode at 1570C
Fig. 15. DSC curve for Sample B in isothermal mode at 1620C
The time which is spent and the reaction after that is started is called reaction induction period. As shown in Figs. 11 to 13, reaction induction period is decreased from 6 minute to zero minute by increasing isothermal temperature from \(165^{\circ} \mathrm{C}\) to \(175^{\circ} \mathrm{C}\). So \(T_{\text {ign }}\) is between \(165^{\circ} \mathrm{C}\) to \(175^{\circ} \mathrm{C}\).
As shown in Figs. 14 and 15 at \(162^{0} \mathrm{C}\), after about one minutes the decomposition reaction is started. Reaction induction period at \(162^{\circ} \mathrm{C}\) is about 1 minute and at \(157^{\circ} \mathrm{C}\) is about 2.5 minute. So it can to conclude that calculated autoignition temperature from isokinetic model method does not have significant difference. In Table 6 experimental \(T_{\text {ign }}\) temperatures are shown.
Table 6. Experimental values for Tign
In Table 7 experimental and calculated \(\mathrm{T}_{\text {ign }}\) temperatures are shown.
Table 7. Experimental and calculated Tign
Conclusion
\(T_{\text {ign }}\) is an important parameter for evaluation of thermal hazard of energetic materials. It depends on decomposition kinetic of energetic material. TGA experiments were done in various heating rate for two kinds of propellants. \(T_{\text {ign }}\) was calculated by two different kinetic methods. First method is based on Kissinger method. By this method \(T_{\text {ign }}\) temperature is calculated. Second method is based on Invariant Kinetic Parameters (IKP) method such as isokinetic point. In this method, 12 reaction models are used for calculation of isokinetic point. By using this point in various heating rate, \(T_{\text {ign }}\) are calculated by this method. At last DSC experiments were done for these two kinds of propellants. Results are shown that experimental \(T_{\text {ign }}\) are very close to results which were calculated by IKP method. for sample A, percent of difference was about \(0.04 \%\) and for sample \(B\) is about \(0.26 \%\)
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