نتایج جستجو برای: Predicting gas density
تعداد نتایج: 761424 فیلتر نتایج به سال:
in this contribution, two approaches are followed to predict the saturated liquid density of liquefied natural gas (lng) mixtures. in one approach, 12 cubic equations of state (eoss), comprising the popular peng-robinson (pr) and redlich-kwong-soave (rks), are employed to predict the saturated liquid density of 20 lng mixtures. in the other approach, these eos are used in conjunction with a rec...
In this contribution, two approaches are followed to predict the saturated liquid density of liquefied natural gas (LNG) mixtures. In one approach, 12 cubic equations of state (EoSs), comprising the popular Peng-Robinson (PR) and Redlich-Kwong-Soave (RKS), are employed to predict the saturated liquid density of 20 LNG mixtures. In the other approach, these EoS are used in conjunction with a rec...
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
run-out-table (rot) is located between last finishing stand and down coiler in a hot strip mill. as the hot steel strip passes from rot, water jets impact on it from top and bottom and strip temperature decreases approximately from 800-950 °c to 500-750°c. the temperature history that strip experience while passing through rot affects significantly the metallurgical and mechanical properties, s...
We show that the mass fraction of giant molecular cloud (GMC) gas (n 100 cm−3) in dense (n 104 cm−3) star-forming clumps, observable in dense molecular tracers (LHCN/LCO(1–0)), is a sensitive probe of the strength and mechanism(s) of stellar feedback, as well as the star formation efficiencies in the most dense gas. Using high-resolution galaxy-scale simulations with pc-scale resolution and exp...
Machine-learning algorithms aid predictions for complex systems with multiple influencing variables. However, many neural-network related algorithms behave as black boxes in terms of revealing how the prediction of each data record is performed. This drawback limits their ability to provide detailed insights concerning the workings of the underlying system, or to relate predictions to specific ...
Objective- To investigate and quantitate radiological and clinical changes in tissues and structures of the claws affected by Rusterholz ulcer. Design- Cross-sectional and Descriptive study Animal- Seven culled lame cows were affected with “Rusterholz” ulcer Procedures- Forty one culled lame cows of 1135 culled cows having digital disorders which were randomly selected for clinical and r...
Abstract The accurate calculations of adsorption equilibrium for multicomponent gas systems are of great importance in many applications. In this paper, five two-dimensional equations of state 2D-EOS, i.e. Van der Waals, Eyring, Zhou-Ghasem-Robinson, Soave-Redlich-Kwong and Peng-Robinson, were examined to find out their abilities to predict adsorption equilibrium for pure and multi-component ga...
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