Sentence examples for minimal entropy Production from inspiring English sources
As a by-product it turns out that the Principle of Minimal Entropy Production may be derived directly from balances generally and special expressions of entropy production may be derived from balances.
We treat the Hagen Poiseuille and Couette flow by the Principle of Minimal Entropy Production in the case of multiple phase flow and show that the Principle of Minimal Entropy Production is irreplaceable particularly for complicated processes.
We introduce entropy production into balances, apply the Principle of Minimal Entropy Production and obtain in this way considerable simplifications.
Astonishingly, we find that well-known effects turn out to be simple consequences of the Principle of Minimal Entropy Production.
Reversible cycle processes, well known from motor processes, are generalised to irreversibility and optimised by the Principle of Minimal Entropy Production.
Because of this scientific and economic importance of the entropy production we show on the basis of the last two publications of the author Real Processing I and Real Processing II, see the literature citation, a complete and closed mathematical physical derivation of the generalised Principle of Minimal Entropy Production on the basis of the statement of Helmholtz and Rayleigh.
The optimal mass-transfer time, minimum entropy production rate and minimum power input are calculated.
The Liapunov function resembles the thermodynamic entropy production function and the asymptotic stability principle presented is reminiscent of the theorem of minimum entropy production.
We report on the nature of the state of minimum entropy production.
He imposed the postulate that the second law must be obeyed and after eliminating all other sources of entropy production, he argued that a minimum entropy production occurs during measurement.
The latter quantifies the temporal "colouredness" and spatial "non-roundness" of the signal by its minimal relative entropy production rate with respect to Gaussian white noises with scalar covariance matrices.
