Abstract:Development of aviation and aerospace fuels requires deep insight into the pyrolysis and combustion mechanisms. However, rapid and complex reactions during fuel combustion make it difficult to accurately describe the...
“…ReaxFF MD can be performed several orders of magnitude faster in calculating energies and forces compared to quantum mechanical methods (QM) with close accuracy to the widely used DFT method. 8,9 Particularly, the significant speed-up of ReaxFF MD simulations allowed by the GPU-enabled code of GMD-Reax 10 or other GPU-based code 11 makes it practical to directly perform simulations of the pyrolysis reactions of fuel mixture models with dozens of high carbon number components consisting of n -paraffins, iso-paraffins, cycloparaffins, alkenes, and aromatics. 12–14 The reactions containing full information of reaction sites analyzed with the aid of VARxMD 15 from simulation trajectories demonstrate the advantage of ReaxFF MD in obtaining the dynamic evolution of the complex radical-driven reactions in real fuel pyrolysis, of which applications 2,16 can be found in pyrolysis simulations of many large systems like coal, biomass, polymers, energetics materials, hydrocarbon fuel, etc.…”
The reactive molecular dynamics using ReaxFF provides an effective means to generate global reactions for pyrolysis of realistic fuel mixtures. The reactions from large-scale pyrolysis simulations of fuel mixture may...
“…ReaxFF MD can be performed several orders of magnitude faster in calculating energies and forces compared to quantum mechanical methods (QM) with close accuracy to the widely used DFT method. 8,9 Particularly, the significant speed-up of ReaxFF MD simulations allowed by the GPU-enabled code of GMD-Reax 10 or other GPU-based code 11 makes it practical to directly perform simulations of the pyrolysis reactions of fuel mixture models with dozens of high carbon number components consisting of n -paraffins, iso-paraffins, cycloparaffins, alkenes, and aromatics. 12–14 The reactions containing full information of reaction sites analyzed with the aid of VARxMD 15 from simulation trajectories demonstrate the advantage of ReaxFF MD in obtaining the dynamic evolution of the complex radical-driven reactions in real fuel pyrolysis, of which applications 2,16 can be found in pyrolysis simulations of many large systems like coal, biomass, polymers, energetics materials, hydrocarbon fuel, etc.…”
The reactive molecular dynamics using ReaxFF provides an effective means to generate global reactions for pyrolysis of realistic fuel mixtures. The reactions from large-scale pyrolysis simulations of fuel mixture may...
“…The reactive molecular dynamics using the first-principles-based ReaxFF force field , (ReaxFF MD) is a promising method to obtain global reactions in fuel pyrolysis. Particularly, large-scale ReaxFF MD simulations are the effective approach in obtaining a more complete reaction scenario from source fuel molecules or starting reactant molecules to important intermediates and final product yields for the pyrolysis of the realistic fuel system. ,− …”
Pyrolysis chemistry is important in both engine combustion and industrial utilization of various fuels. Understanding pyrolysis chemistry is challenging due to the large number of reactions involved and the explosion of intermediate species structures in the radical-driven process. Since the bond changes reflect the very core information on a reaction, automatic reaction classification based on reaction centers can be useful to peak at a simplified reaction view of a complex pyrolysis process. This work proposes and implements a scheme to build a reaction data set labeled with the reaction class for reactions from reactive molecular dynamics simulations using ReaxFF (ReaxFF MD) in generating global reactions in pyrolysis of realistic fuel mixtures. The major steps include the automated conversion of reactions into elementary-like reactions with a pseudosingle reaction center, automatic extraction of extended reaction centers, reaction class defining, and manual labeling. There are 46 reaction classes defined in total based on both pyrolysis reaction knowledge and reaction observations from ReaxFF MD simulations of realistic hydrocarbon fuel pyrolysis. With the effort to have as adequate number of reactions as possible labeled for each reaction class defined, 7862 reactions were manually labeled with reaction classes for the data set of 26,881 elementary-like reactions that cover major pyrolysis reaction classes of typical hydrocarbon fuel components of nparaffins, iso-paraffins, olefins, cycloparaffins, and aromatics. The reaction data set has been used in the scheme of SRG-Reax to build a semisupervised machine learning model of tri-training to predict the reaction classes of pyrolysis reactions. Through automated reaction classification, 30 major reaction classes involved in a total of 3479 pyrolysis reactions of real RP-3 fuel containing 45 components unravel the overall pyrolysis reaction characteristics of the fuel system. With additional reaction classes defined and reaction data labeled, the approach can be used for various fuels.
“…According to the present understanding, soot formation occurs by a series of complex physicochemical events such as the formation of gas-phase soot precursors (including, but not limited to, polycyclic aromatic hydrocarbons or PAHs), nucleation of incipient soot particles, growth and maturation of incipient soot particles due to surface reactions, aggregation by coagulation or coalescence, and decay of the particles by fragmentation and oxidation. − The inception of soot particles is arguably the least understood phenomenon among these processes, and the exact chemical reaction pathways of soot inception are not completely known yet. Researchers agree that soot formation starts with production of small gas-phase precursor molecules such as acetylene, which leads to PAHs like benzene, pyrene, and coronene. − These freshly formed PAHs then combine to form the solid or liquid-like incipient soot particles. − These particles then start to grow by surface reactions and coalescence to form larger soot particles. ,− …”
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