Introduction

Thermal hazards are of great importance to the safer operation of chemical processes and now still remain the most serious concern in the chemical industry in spite of continued efforts that have devoted to this area in the last decades [13]. The United State Chemical Safety and Hazard Investigation Board (US CSB) reported 167 reactive chemical incidents between 1980 and 2001 [4]. In this report, energetic materials (or nitro compounds) were considered as typical reactive chemicals. Energetic materials, which contain multiple NO2 functional groups, are always used as fuels, high explosives, and propellants [5, 6]. Those nitro compounds are capable of rapid chemical decomposition with large energy release, triggering deflagrations and/or detonations and causing sever damages to people, property, and environment. Therefore, to prevent unexpected deflagrations and/or detonations, it is essential to investigate thermal hazards of nitro compounds, especially their initial decomposition temperature (i.e., onset temperature) and shock sensitivity [7].

The thermal hazard of a compound is an inherent property of the compound while the characterization of the thermal hazard is considered as a dynamic problem [8]. Usually both thermodynamic and kinetic data are necessary to be collected to evaluate the thermal hazards. Ando et al. [9] reported that onset temperature and heat of reaction are two significant parameters of thermal hazards, which correspond to their kinetic and thermodynamic properties, respectively. It is well known that onset temperatures are very difficult to be obtained or predicted. The onset temperature may be estimated by some of the experiments (i.e., differential scanning calorimetry (DSC) measurements) with a good calibration, but not with a great accuracy as would be desirable [10]. In addition, estimations of onset temperatures based on calorimetric experiments can be resource consuming. Therefore, it is necessary to find a way to calculate onset temperatures, especially for those highly reactive compounds that experiments are difficult to carry out [11].

For nitro compounds, in general, the initial steps in the thermal reactions are considered very important in the explosion, which can be caused by a thermal heat, shock, or mechanical impact [12]. Once the initial steps are triggered, the compound undergoes a rapid chemical reaction. The initial reactions have been studied for several typical energetic materials, such as RDX (hexahydro-1,3,5-trinitro-1,3,5-triazine) [13], FOX-7 (1,1-diamino-2,2-dinitroethylene) [14], and TNAZ (1,3,3-trinitroazetidine) [15]. The rupture of the weakest C–NO2 bond as depicted in Eq. (1) is often suggested as an initial step in the thermal explosion of nitro compounds [16, 17]. Saraf et al. [18] have suggested that the onset temperatures of nitro compounds are closely related to their initial decomposition steps, especially the C–NO2 bond dissociation energy (BDE)

$$ {\text{R}}{-}{\text{NO}}_{2} \to {\text{R}}^{ \bullet } + {\text{ NO}}_{2}^{ \bullet } $$
(1)

Our previous research has shown that the rupture of C–NO2 bond in nitroethane is a two-step process: (1) singlet to triplet excitation; (2) further excitation to a transition state [19]. Manaa et al. [20] also reported similar results in nitromethane by the density functional theory (DFT) calculations. For this two-step process, the first step is critical which usually requires more energy to excite electrons from a singlet state to triplet state (i.e., excitation energy). To better understand the relationship between excitation energy and onset temperature for nitro compounds, molecular simulation studies have been conducted on a certain group of nitro aromatic compounds in this work. The purpose of this work is to introduce simple correlations for the prediction of onset temperature of nitro aromatics. The predicted results are compared with experimental values as well as the previously developed correlation. It is shown here how this simple method can quickly predict reliable results on thermal onset temperature and screen notional energetic materials.

Data collection

The accuracy of a correlation is directly affected by the quality of the experimental data. It is well known that onset temperatures are experimentally determined data and the values reported by different authors as well as different organizations may differ a lot. For this reason, in order to have homogenous experimental data, all the onset temperature data of nitro compounds were collected from two previously published papers respectively. The first data set of 12 nitro compounds as shown in Table 1 was taken from the paper published by Duh et al. [21]. Duh’s data were obtained from the dynamic temperature scanning (4 °C min−1) on a Mettler TA4000 system coupled with a DSC25 measuring cell. The second data set of 18 nitro compounds as shown in Table 2 was taken from the paper by Ando et al. [9]. Ando’s experiments were performed with about 1–2 mg samples in an aluminum cell and a scanning rate of 10 °C min−1, for 820 reactive chemicals of which 18 nitro compounds were chosen in this work. These two data sets were treated separately to identify two correlations since it is very important to use values from the most similar conditions using as much as possible the same equipment. Onset temperature values of these nitro compounds were in the range from 223 to 379 °C.

Table 1 Experimental and predicted onset temperature for 12 nitro compounds
Table 2 Experimental and predicted onset temperature for 18 nitro compounds

Theoretical methods

Molecular simulation methods have been well established and extensively applied to study thermal hazards and thermal chemical/physical properties in our previous research [2224]. In this work, all molecular structures were entered into and optimized using the Gaussian 03 suite of programs [25]. A density functional method, B3LYP (Becke 3 Lee, Yang, and Parr) [26, 27], was used for gas-phase geometry optimizations and frequency calculations at 298 K and 1 atm. The basis set 6-31+G(d) with Pople-style basis sets, including polarization functions for angular flexibility to represent regions of high electron density among bonded atoms was used [28]. Relative energies were reported in kcal mol−1 at the B3LYP/6-31+G(d) level of theory. Excitation energies can be easily calculated by simply taking the difference of the single point energy values for a singlet state and a triplet state. Correlations were then calculated based on singlet to triplet excitation energies and their experimental onset temperature values.

Results and discussion

As pointed out above, the rupture of C–NO2 bond in nitro compounds is a two-step process, while the first step is critical which needs more energy to excite electrons from a singlet state to a triplet state [19]. It is therefore possible that there is a simple relationship between excitation energy and onset temperature for nitro compounds.

A correlation in Eq. (2) was developed based on the training set of 12 nitro compounds (see Table 1). Equation (2) shows the correlation between the onset temperature and the excitation energy with an R 2 value of 0.83. Figure 1 displays the onset temperature against the excitation energy.

$$ T_{\text{o}} = 21.8 E_{x} - 922 $$
(2)

Here T o is the onset temperature in °C and E x is the excitation energy in kcal mol−1. The second correlation was based on the experimental onset temperature data of 18 nitro compounds from another experiment setup, as shown below as Eq. (3).

$$ T_{\text{o}} = 20.8 E_{x} - 815 $$
(3)

Here T o is the onset temperature in °C and E x is the excitation energy in kcal mol−1. This correlation also has a good R 2 value of 0.79. The detailed information of the onset temperature against the excitation energy is displayed in Fig. 2. Figures 1 and 2 indicate that onset temperature and excitation energy are closely related to each other. The onset temperature can be approximately described as proportional to the excitation energy. The deviations are fairly small as shown in Tables 1 and 2. Those two correlations are theoretically justified and can provide significant insight into the relationship between the onset temperature of nitro compounds and their molecular structures.

Fig. 1
figure 1

A correlation between onset temperature and excitation energy based on data from the paper by Duh et al.

Fig. 2
figure 2

A correlation between onset temperature and excitation energy based on data from the paper by Ando et al.

Both Eqs. (2) and (3) are one-parameter correlations. Even though the maximum deviation could reach 16 °C for Eq. (2) and −40 °C for Eq. (3), the correlations provide pretty good estimations of the onset temperature. Previous work by Saraf et al. [18] assumed the activation energy was approximated as a fraction of the BDE, calculated for the C–NO2 bond. They then used those BDE values to predict onset temperatures for the similar series of nitro compounds. However, the deviation of the predicted onset temperatures could be as high as −96 °C [18]. Compared to the prediction results by Saraf et al., the predictions in this work are improved significantly with much smaller deviations.

It should be noted that a correlation model with two or more than two parameters may improve the accuracy of the prediction. A multiple linear regression (MLR) method should be used to describe the relationship among onset temperature and other parameters (number of parameters ≥2), such as C–N bond length and BDE.

It should also be noted that correlations reported in this work are limited to nitro aromatic compounds with only one NO2 functional group. Some nitro aromatic compounds with two NO2 functional groups (i.e., dinitrobenzene and dinitrotoluene) have been tested. The excitation energies were calculated using exactly same method and same basis set. However, there was no obvious relationship between the onset temperatures of those dinitro compounds and their excitation energies. There could be two reasons: (1) The overall excitation energies may shift due to the interaction of two NO2 functional groups on the same benzene ring; (2) As it is reported that the rupture of C–NO2 bond in nitro compounds is a two-step process, if the second step requires more energy and becomes the critical step, then the excitation energy may not be used to determine the decomposition rate and hence may not be related to the onset temperature.

Conclusions

The new correlations can be applied for calculating the onset temperatures of nitro aromatic compounds quickly. The predicted results of Eqs. (2) and (3) are reliable and can give better predictions as compared to outputs from the previous work which was correlated with BDE values. These correlations could be used as a computational screen tool to expedite the thermal hazard evaluation process of new developed nitro compounds.