Special Issue "Entropy in Computational Fluid Dynamics"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (31 May 2017).
Priv.-Doz. Dr. Yan Jin
Losses in a flow and heat transfer process, from a thermodynamics point of view, are due to irreversible processes. In order to better understand the physics of these loss-producing mechanisms, fluid mechanic and heat transfer considerations might be complemented by some thermodynamic concepts with respect to the irreversible processes involved. Basically, these are concepts that assess energy by its value in terms of its convertibility from one form to another.
The second law analysis (SLA) is often used in thermodynamics in order to assess an irreversible process. According to the SLA, the quality of a flow and heat transfer process, and how reversible it is can only be assessed by the entropy generation rate. However, this concept is still not widely used to assess flow and heat transfer problems although they are often irreversible. The SLA may help to indicate where the losses occur and determine their strength, which is important for understanding a flow and heat transfer process. With the knowledge about the mechanisms of irreversibility, one may know how to reduce entropy generation, overall or locally, and thus improve the efficiency of a fluid machine.
Analysis of the irreversibility in flow or heat transfer processes, in particular for turbulent flows, is welcome. Papers about modelling the entropy generation due to turbulence are encouraged. Optimization of flow and heat transfer processes, e.g., reducing skin friction and enhancing heat transfer, with the SLA is of special interest.
Dr. Yan Jin
Manuscript Submission Information
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- Entropy generation in a flow
- Entropy generation in a heat/mass transfer process
- Assessing the irreversibility with high accuracy methods, e.g., DNS
- Modeling the entropy generation due to turbulence
- Optimization with the second law of thermodynamics (SLA)
- Skin friction reduction and heat transfer enhancement