Modeling solid thermal explosion containment on reactor HNIW and HMX

Lin, Chun-Ping; Chang, Chang-Ping; Chou, Yu-Chuan; Chu, Yung-Chuan; Shu, Chi‐Min

doi:10.1016/j.jhazmat.2009.11.064

Cited by 49 publications

(30 citation statements)

References 20 publications

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“…[10][11][12][13][14] Two parallel reactions for full autocatalysis are as follows da dt ¼ r 1 ðaÞ þ r 2 ðaÞ; r 1 ðaÞ ¼ k 1 ðTÞð1 À aÞ n 1 r 2 ðaÞ ¼ k 2 ðTÞa n2 ð1 À aÞ n 3 E 1 and E 2 are the activation energies of the stages.…”

Section: Application Of Green Thermal Analysis Technology Kinetic Modmentioning

confidence: 99%

“…For liquid thermal hazard simulations, the following statements were used 13,14 qC P @ T @ t ¼ divðkDTÞ þ W Thermal conductivity equation [Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com.] For liquid thermal hazard simulations, the following statements were used 13,14 qC P @ T @ t ¼ divðkDTÞ þ W Thermal conductivity equation [Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com.]…”

Section: Thermal Hazard Simulationsmentioning

confidence: 99%

“…The boundary conditions of the first, second, and third kind were specified as follows 13,14 First kind :…”

Section: Thermal Hazard Simulationsmentioning

confidence: 99%

“…Kinetic simulation was used to construct a precise and effective procedure to evaluate the thermokinetic parameters for the thermal decomposition of TMCH. [11][12][13][14] The chosen approach was to obtain the beneficial kinetics and reliable parameters of the thermal decomposition that included the kinetic parameters and inherently safe properties, such as the mechanism of thermal decomposition, heat of decomposition (DH d ), reaction order (n), activation energy (E a ), isothermal time to maximum rate (TMR iso ), and time to conversion limit (TCL).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Prediction of TMCH thermal hazard with various calorimetric tests by green thermal analysis technology

Tseng¹,

Lin²,

Lee³

et al. 2012

AIChE Journal

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1,1,‐Di‐(tert‐butylperoxy)‐3,3,5‐trimethylcyclohexane (TMCH), a liquid organic peroxide, has been widely used in the chemical industry as a polymerization initiator. The thermokinetic parameters of TMCH are investigated by three types of calorimetric tests (isothermal, nonisothermal, and adiabatic) to determine thermal decomposition properties of TMCH using differential scanning calorimetry (DSC) isothermal tests, DSC nonisothermal tests, and vent sizing package 2 adiabatic tests, respectively. Comparisons of three kinds of thermal analysis models were done for kinetics simulation, which can result in a beneficial kinetic model and parameters of thermal decomposition of TMCH. The use of green technology to replace the complex methods and energy consumption of the traditional self‐accelerating decomposition temperature tests are discussed. There are significant disadvantages with traditional thermal analysis methods in terms of a novel, swift, and green technology, which is the achieved object here for preventing pollution and reducing energy consumption. © 2012 American Institute of Chemical Engineers AIChE J,, 2012

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Section: Application Of Green Thermal Analysis Technology Kinetic Modmentioning

confidence: 99%

Section: Thermal Hazard Simulationsmentioning

confidence: 99%

“…The boundary conditions of the first, second, and third kind were specified as follows 13,14 First kind :…”

Section: Thermal Hazard Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prediction of TMCH thermal hazard with various calorimetric tests by green thermal analysis technology

Tseng¹,

Lin²,

Lee³

et al. 2012

AIChE Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…It has multiple applications including material properties characterization, research about the kinetics of reactions, and the assessment of reactive chemicals hazards (Barrall, 1973;Iliyas, Hawboldt, & Khan, 2010;Lin, Chang, Chou, Chu, & Shu, 2010;Seyler, 1980;Yuan, Shu, & Kossoy, 2005). There are different calorimetric techniques, including differential scanning calorimetry (DSC), reaction calorimetry, and adiabatic calorimetry.…”

Section: Introductionmentioning

confidence: 99%

Chip-scale calorimeters: Potential uses in chemical engineering

Carreto-Vazquez

Liu

Bukur

et al. 2011

Journal of Loss Prevention in the Process Industries

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Comparative theoretical studies of high energetic cyclic nitramines

Zhao

2013

J of Physical Organic Chem

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Density functional theory studies on cyclic nitramines were performed at B3LYP/6-311G(d,p) level. The crystal structures were obtained by molecular packing calculations. Heats of formation (HOFs) were predicted through designed isodesmic reactions. Results indicate that the value of HOF relates to the number of =N-NO 2 group and aza nitrogen atom and increases with the augment of the number of =N-NO 2 group and aza nitrogen atom for cyclic nitramines. Detonation performance was evaluated by using the Kamlet-Jacobs equations based on the calculated densities and HOFs. All the cyclic nitramines exhibit better detonation performance than 1,3,5-trinitro-1,3,5triazacyclohexane and 1,3,5,7-tetranitro-1,3,5,7-tetraazacyclooctane. The stability of cyclic nitramines was investigated by the bond dissociation energies. The result shows that the increase of =NÀNO 2 group or aza nitrogen atom reduces the stability of the title compounds. These results provide basic information for molecular design of novel high energetic density materials.

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Modeling solid thermal explosion containment on reactor HNIW and HMX

Cited by 49 publications

References 20 publications

Prediction of TMCH thermal hazard with various calorimetric tests by green thermal analysis technology

Prediction of TMCH thermal hazard with various calorimetric tests by green thermal analysis technology

Chip-scale calorimeters: Potential uses in chemical engineering

Comparative theoretical studies of high energetic cyclic nitramines

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