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Titolo:
Thermodynamic optimization of heat-transfer equipment configuration in an environmental control system
Autore:
Alebrahim, A; Bejan, A;
Indirizzi:
Duke Univ, Dept Mech Engn & Mat Sci, Durham, NC 27708 USA Duke Univ Durham NC USA 27708 t Mech Engn & Mat Sci, Durham, NC 27708 USA
Titolo Testata:
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
fascicolo: 13, volume: 25, anno: 2001,
pagine: 1127 - 1150
SICI:
0363-907X(20011025)25:13<1127:TOOHEC>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Keywords:
thermodynamic optimization; heat exchangers; topology; constructal theory; entropy generation minimization; optimal distribution of imperfection;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Bejan, A Duke Univ, Dept Mech Engn & Mat Sci, Box 90300, Durham, NC 27708 USA Duke Univ Box 90300 Durham NC USA 27708 300, Durham, NC 27708 USA
Citazione:
A. Alebrahim e A. Bejan, "Thermodynamic optimization of heat-transfer equipment configuration in an environmental control system", INT J ENERG, 25(13), 2001, pp. 1127-1150

Abstract

In this paper, we show that many features of a heat transfer installation can be deduced from the maximization of the global performance of the greater system that employs the installation. The heat transfer installation is a series of two cross-flow heat exchangers. The greater system is the environmental control system (ECS) of an aircraft. The global performance objective is the minimization of the total thermodynamic irreversibility of the ECS. Several architectural features are deduced from principle: the relativeposition of the two heat exchangers, their relative sizes, and all the geometric aspect ratios of the two heat exchanger cores. We find that the optimized architecture is insensitive (robust) to changes in some of the external parameters. Robustness is a useful feature because it simplifies the design work. Furthermore, one design that is built can be expected to functionat near-optimal levels when the external parameters change. The application of this method of topology optimization to more complex systems is discussed, Copyright (C) 2001 John Wiley & Sons, Ltd.

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Documento generato il 07/07/20 alle ore 11:00:40