A Reactive Flow Model with Coupled Reaction Kinetics for Detonation and Combustion in Non-Ideal Explosives

1995 ◽  
Vol 418 ◽  
Author(s):  
Philip J. Miller
Keyword(s):  
Reaction Kinetics ◽  
Flow Model ◽  
Reaction Model ◽  
Reactive Flow ◽  
Model Parameters ◽  
Combustion Chemistry ◽  
Metal Combustion ◽  
Dimensional Finite Element ◽  
Hydrodynamic Code ◽  
Coupled Reaction

AbstractA new reactive flow model for highly non-ideal explosives and propellants is presented. These compostions, which contain large amounts of metal, upon explosion have reaction kinetics that are characteristic of both fast detonation and slow metal combustion chemistry. A reaction model for these systems was incorporated into the two-dimensional, finite element, Lagrangian hydrodynamic code, DYNA2D. A description of how to determine the model parameters is given.

A Systematic Method to Determine and Test the Ignition and Growth Reactive Flow Model Parameters of a Newly Designed Polymer-Bonded Explosive

2018 ◽  
Vol 43 (9) ◽  
pp. 948-954 ◽  
Author(s):  
Xiao Li ◽  
Yi Sun ◽  
Hongda Zhao ◽  
Youcai Xiao ◽  
Xuanming Cai ◽  
...  
Keyword(s):  
Flow Model ◽  
Reactive Flow ◽  
Model Parameters ◽  
Systematic Method

A reactive flow model of the geothermal reservoir Waiwera, New Zealand

2004 ◽  
Vol 13 (4) ◽  
pp. 606-626 ◽  
Author(s):  
Michael Kühn ◽  
Heinke Stöfen
Keyword(s):  
New Zealand ◽  
Flow Model ◽  
Geothermal Reservoir ◽  
Reactive Flow

scholarly journals Mass-Transfer Model for Steel, Slag, and Inclusions during Ladle-Furnace Refining

2018 ◽  
Vol 37 (7) ◽  
pp. 665-674
Author(s):  
Liguang Zhu ◽  
Yanan Jia ◽  
Zengxun Liu ◽  
Caijun Zhang ◽  
Xingjuan Wang ◽  
...  
Keyword(s):  
Mass Transfer ◽  
Molten Steel ◽  
Film Theory ◽  
Steel Slag ◽  
Reaction Model ◽  
Transfer Model ◽  
Ladle Furnace ◽  
Precise Control ◽  
Transfer Behavior ◽  
Coupled Reaction

AbstractPrecise control of inclusion and molten steel compositions during ladle-furnace refining is important to obtain high-quality steel. Mass-transfer behavior affects these compositions. A model was developed to investigate the mass transfer occurring between molten steel, slag, inclusions, and the refractory during ladle-furnace refining, using two-film theory to describe the reactions. A coupled-reaction model based on the CaO–Al2O3–MgO–SiO2–FeO–P2O5 slag and Mn–Si–Al–Ca–Mg–P–S–O steel systems was applied to describe the reactions between molten steel and slag; the reactions between the refractory lining and slag or steel were described using average industrial erosion rate data. The model was used to calculate changes in the compositions of molten steel and slag, oxygen activity at the slag–molten steel interface, and composition of the inclusions. The calculated results agreed with operational results for a 100 t ladle furnace at the Tangsteel plant in China.

scholarly journals Automated calibration of a two-dimensional overland flow model by estimating Manning's roughness coefficient using genetic algorithm

2017 ◽  
Vol 20 (2) ◽  
pp. 440-456
Author(s):  
J. Drisya ◽  
D. Sathish Kumar
Keyword(s):  
Genetic Algorithm ◽  
Flow Model ◽  
Overland Flow ◽  
Fitness Function ◽  
Roughness Coefficient ◽  
Model Parameters ◽  
Automatic Data ◽  
Automated Calibration ◽  
Manning’S Roughness Coefficient ◽  
Overland Flow Model

Abstract Calibration is an important phase in the hydrological modelling process. In this study, an automated calibration framework is developed for estimating Manning's roughness coefficient. The calibration process is formulated as an optimization problem and solved using a genetic algorithm (GA). A heuristic search procedure using GA is developed by including runoff simulation process and evaluating the fitness function by comparing the experimental results. The model is calibrated and validated using datasets of Watershed Experimentation System. A loosely coupled architecture is followed with an interface program to enable automatic data transfer between overland flow model and GA. Single objective GA optimization with minimizing percentage bias, root mean square error and maximizing Nash–Sutcliffe efficiency is integrated with the model scheme. Trade-offs are observed between the different objectives and no single set of the parameter is able to optimize all objectives simultaneously. Hence, multi-objective GA using pooled and balanced aggregated function statistic are used along with the model. The results indicate that the solutions on the Pareto-front are equally good with respect to one objective, but may not be suitable regarding other objectives. The present technique can be applied to calibrate the hydrological model parameters.

scholarly journals Uncertainty evaluation of nuclear reaction model parameters using integral and microscopic measurements. Covariances evaluation with CONRAD code

2010 ◽  
Vol 8 ◽  
pp. 04002 ◽  
Author(s):  
C. De Saint Jean ◽  
B. Habert ◽  
P. Archier ◽  
G. Noguere ◽  
D. Bernard ◽  
...  
Keyword(s):  
Nuclear Reaction ◽  
Reaction Model ◽  
Uncertainty Evaluation ◽  
Model Parameters
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