Next Article in Journal
Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions
Next Article in Special Issue
Second Law Analysis for Variable Viscosity Hydromagnetic Boundary Layer Flow with Thermal Radiation and Newtonian Heating
Previous Article in Journal
Effective Conformal Descriptions of Black Hole Entropy
Previous Article in Special Issue
Application of the EGM Method to a LED-Based Spotlight: A Constrained Pseudo-Optimization Design Process Based on the Analysis of the Local Entropy Generation Maps
Entropy 2011, 13(7), 1380-1402; doi:10.3390/e13071380

Diffuser and Nozzle Design Optimization by Entropy Generation Minimization

*  and
Institute of Thermo-Fluid Dynamics, Hamburg University of Technology, Denickestr. 17, 21073 Hamburg, Germany
* Author to whom correspondence should be addressed.
Received: 10 June 2011 / Revised: 1 July 2011 / Accepted: 15 July 2011 / Published: 20 July 2011
(This article belongs to the Special Issue Entropy Generation Minimization)


Diffusers and nozzles within a flow system are optimized with respect to their wall shapes for a given change in cross sections. The optimization target is a low value of the head loss coefficient K, which can be linked to the overall entropy generation due to the conduit component. First, a polynomial shape of the wall with two degrees of freedom is assumed. As a second approach six equally spaced diameters in a diffuser are determined by a genetic algorithm such that the entropy generation and thus the head loss is minimized. It turns out that a visualization of cross section averaged entropy generation rates along the flow path should be used to identify sources of high entropy generation before and during the optimization. Thus it will be possible to decide whether a given parametric representation of a component’s shape only leads to a redistribution of losses or (in the most-favored case) to minimal values for K.
Keywords: second law analysis; entropy generation; optimization; diffuser second law analysis; entropy generation; optimization; diffuser
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Schmandt, B.; Herwig, H. Diffuser and Nozzle Design Optimization by Entropy Generation Minimization. Entropy 2011, 13, 1380-1402.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert