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A full scale hydrodynamic simulation that requires an accurate reproduction of shock-induced detonation was conducted for design of an energetic component system.
The UV background produced in atmosphere is a key measurement for any experiment aiming at the observation of Extreme Energy Cosmic Rays (EECR) from space, the most energetic component of the cosmic radiation.
The energetic component system is composed of four main components, namely a donor unit (HNS+HMX), a bulkhead (STS), an acceptor explosive (RDX), and a propellant (BKNO3) for gas generation.
First, the low energetic part of the ion energy distribution function (IEDF) was similar in dcMS and HiPIMS and second the high energetic component was more prominent in the HiPIMS discharge.
In this paper, a step-by-step numerical description of detonation of high explosive components, deflagration of propellant component, and deformation of metal component is given in order to facilitate the proper implementation of the outlined formulation into a shock physics code for a full scale hydrodynamic simulation of the energetic component system.
We show that the most important energetic component contributing to binding for this particular protein-ligand system is the conformational (i.e., QM internal) energy.
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High reliability and maintainability are required as a basic condition for the geothermal turbines and energetic components in order to provide a stable power supply.
Both deviatoric and hydrostatic energetic components are taken into consideration by means of a non-linear function of the two contributions.
The thermodynamic conjugate microstresses are decomposed into dissipative and energetic components, correspondingly, the dissipative and energetic length scales are incorporated in the proposed model and an additional length scale related to the geometrically necessary dislocations-induced strengthening is also included.
We can clearly see that FWL and FWH are the most energetic components.
After inserting a list of input parameters associated with the characteristics of the chamber in a spreadsheet (see Table 2), the methodology uses suitable mathematic formulae to predict each one of the energetic components and, finally, the global energy consumption.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com