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Thermodynamic Equilibrium of the Saturated Fluid with a Free Surface Area and the Internal Energy as a Function of the Phase-Specific Volumes and Vapor Pressure 被引量:2
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作者 Albrecht Elsner 《Engineering(科研)》 2015年第9期577-596,共20页
This study is concerned with describing the thermodynamic equilibrium of the saturated fluid with and without a free surface area A. Discussion of the role of A as system variable of the interface phase and an estimat... This study is concerned with describing the thermodynamic equilibrium of the saturated fluid with and without a free surface area A. Discussion of the role of A as system variable of the interface phase and an estimate of the ratio of the respective free energies of systems with and without A show that the system variables given by Gibbs suffice to describe the volumetric properties of the fluid. The well-known Gibbsian expressions for the internal energies of the two-phase fluid, namely for the vapor and for the condensate (liquid or solid), only differ with respect to the phase-specific volumes and . The saturation temperature T, vapor presssure p, and chemical potential are intensive parameters, each of which has the same value everywhere within the fluid, and hence are phase-independent quantities. If one succeeds in representing as a function of and , then the internal energies can also be described by expressions that only differ from one another with respect to their dependence on and . Here it is shown that can be uniquely expressed by the volume function . Therefore, the internal energies can be represented explicitly as functions of the vapor pressure and volumes of the saturated vapor and condensate and are absolutely determined. The hitherto existing problem of applied thermodynamics, calculating the internal energy from the measurable quantities T, p, , and , is thus solved. The same method applies to the calculation of the entropy, chemical potential, and heat capacity. 展开更多
关键词 FLUID with Free surface Area solution of gibbs’s INTERNAL Energy EQUATIONs Chemical Potential Expression CALCULATION of ENTROPY and HEAT Capacity
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Interpolation of Generalized Functions Using Artificial Neural Networks
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作者 Raghu T Mylavarapu Bharadwaja Krishnadev Mylavarapu Uday Shankar Sekhar 《Journal of Computer and Communications》 2018年第7期34-40,共7页
In this paper we employ artificial neural networks for predictive approximation of generalized functions having crucial applications in different areas of science including mechanical and chemical engineering, signal ... In this paper we employ artificial neural networks for predictive approximation of generalized functions having crucial applications in different areas of science including mechanical and chemical engineering, signal processing, information transfer, telecommunications, finance, etc. Results of numerical analysis are discussed. It is shown that the known Gibb’s phenomenon does not occur. 展开更多
关键词 FUNCTION INTERPOLATION Hidden Layer WEIGHT BIAs Machine Learning DIsTRIBUTIONs Dirac’s FUNCTION Heaviside’s FUNCTION gibb’s Phenomenon
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