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In contrast with previous works of the authors, in the present paper we study the possibility of using b-spline neural networks (BSNN) as reliable noninvasive estimator of temperature propagation in phantoms [2,3].
Results show that the explosion temperature, propagation average velocity, and peak overpressure deceased more obviously with charged water mist than ordinary water mist.
Numerical modeling of the In-situ Conversion Process (ICP) is a challenging endeavor involving non-isothermal multiphase flow, compositional PVT behavior, and chemical reactions that convert solid kerogen into light hydrocarbons and are tightly coupled to the temperature propagation.
We solve the governing equations by the control volume finite difference method, in which the MacCormack scheme is employed for the time derivative, and investigate the temperature propagation modes on short, intermediate and long time scales.
The occurrence of the composition heterogeneity is thought to result in local variations of the thermophysical/chemical reactant parameters, such as density, heat capacity, and thermal conductivity; thus change combustion temperature, propagation velocity, and propagation pattern of combustion front.
This article introduces a novel non-invasive modelling approach of ultrasound-induced temperature propagation in tissues, to be used as a cost effective alternative to MRI monitoring of ultrasound therapeutic techniques, achieving a maximum temperature resolution of 0.26 °C/cm3, clearly inferior to the MRI gold standard resolution of 0.5 °C/cm3.
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We study temperature propagations and convective instabilities induced in critical fluids experimentally, theoretically and numerically.
It is found that for the present test conditions, the microgravity opposed flow smolder reaction temperatures, propagation velocities, toxic compound production and reaction extent lie between those of normal-gravity upward and downward tests.
Compared to this film, Ti/Si/Ti/Al films exhibit higher reaction temperature and propagation velocity.
Two important factors for rapid start-up are identified: speed of temperature front propagation and acceptable CO concentration.
This paper introduces a simulation method for the mass concrete temperature cracking propagation process using the Finite Element Method (FEM).
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CEO of Professional Science Editing for Scientists @ prosciediting.com