H. G. Wells' Tonic

Smith, James Steel

doi:10.2307/354532

Cited by 3 publications

(2 citation statements)

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“…All networks were generated within the high pressure limit; however, rates for small molecule reactions involving OH, H, H 2 O, CO, etc. which are highly influential and strongly pressure dependent were taken from the EFRC v0.3 mechanism [21] and seeded into the RMG-generated models. RMG also had access to a set of calculated rate coefficients (mainly CBS-QB3 [22] and BMK/6-311G(2d,d,p) [23], see Supporting Material).…”

Section: Model Generationmentioning

confidence: 99%

JP-10 combustion studied with shock tube experiments and modeled with automatic reaction mechanism generation

Gao

Vandeputte

Yee

et al. 2015

Combustion and Flame

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a b s t r a c tThis work presents shock tube experiments and kinetic modeling efforts on the pyrolysis and combustion of JP-10. The experiments were performed at 6-8 atm using 2000 ppm of JP-10 over a temperature range of 1000-1600 K for pyrolysis and oxidation equivalence ratios from 0.14 to 1.0. This work distinguishes itself from previous studies as GC/MS was used to identify and quantify the products within the shocked samples, enabling the tracking of product yield dependence on equivalence ratio as well as identifying several new intermediates that form during JP-10's decomposition. A detailed, comprehensive model of JP-10's combustion and pyrolysis kinetics was constructed with the help of RMG, an open-source reaction mechanism generation software package. The resulting model, which includes 691 species reacting in 15,518 reactions, was extensively validated against the shock tube experimental dataset as well as newly published flow tube pyrolysis data from Ghent. Most of the important rate coefficients were computed using quantum chemistry. The model succeeds in identifying all major pyrolysis and combustion products and captures key trends in the product distribution. Simulated ignition delays agree within a factor of 4 with most experimental ignition delay data gathered from literature. The presented experimental work and modeling efforts yield new insights on JP-10's complex decomposition and oxidation chemistry and identify key pathways towards aromatics formation.

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Section: Model Generationmentioning

confidence: 99%

JP-10 combustion studied with shock tube experiments and modeled with automatic reaction mechanism generation

Gao

Vandeputte

Yee

et al. 2015

Combustion and Flame

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“…Finally, it is worth pointing out that the bainitic rails can be joined using conventional thermit or flash-butt welding techniques. In the latter context, the electrical resistance of the bainitic rails is found to be around 15% greater than pearlitic rails [28], presumably because they contain austenite (Fig. 6) and a larger density of dislocations than pearlitic rails.…”

Section: Rails; Temper Embrittlementmentioning

confidence: 93%

High Performance Bainitic Steels

Bhadeshia

2005

MSF

109

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The choreography of atoms during the course of the bainite transformation has major consequences on the development of structure. In particular, the scale and extent of the structure is dependent directly on the fact that the atoms move in a disciplined fashion. This information can be exploited to develop unconventional alloys - for example, rail steels which do not rely on carbides for their properties, and the hardest ever bainite which can be manufactured in bulk form, without the need for rapid heat treatment or mechanical processing.

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Coastal silicon cycling amplified by oyster aquaculture

Ray

Al‐Haj

Maguire

et al. 2021

Mar. Ecol. Prog. Ser.

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Filter-feeders play an important role in regulating nutrient availability in coastal systems, with important implications for phytoplankton community composition, primary production, and food web structure. The role of filter-feeding bivalves in the nitrogen and phosphorus cycles is relatively well established, but their impact on coastal silicon (Si) cycling remains poorly understood. To help reduce this uncertainty, we quantified rates of Si recycling and the size of various Si pools at an oyster (Crassostrea virginica) farm. We found that oysters drive rapid recycling of dissolved Si (DSi) to the water column, primarily by altering rates of sediment Si flux. Sediments beneath oyster aquaculture recycled DSi to the water column at more than twice the rate (2476.06 µmol DSi m-2 h-1) of nearby bare sediments (998.75 µmol DSi m-2 h-1). Oysters consume DSi at a low rate (-0.06 µmol DSi ind.-1 h-1), and, while we were unable to determine the fate of that Si, we hypothesize that at least some of it may be stored in the shell and tissue, which are both small Si pools (0.55 and 0.13% Si by mass respectively). Si held in oysters is removed from the system when oysters are harvested, but this removal is small compared to oyster-mediated enhancements in sediment Si recycling. In a broader context, coastal systems with larger oyster populations are likely to have a more rapid Si cycle, with more Si available to primary producers in the water column than those with no oysters.

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H. G. Wells' Tonic

Cited by 3 publications

References 0 publications

JP-10 combustion studied with shock tube experiments and modeled with automatic reaction mechanism generation

JP-10 combustion studied with shock tube experiments and modeled with automatic reaction mechanism generation

High Performance Bainitic Steels

Coastal silicon cycling amplified by oyster aquaculture

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