Abonnement à la biblothèque: Guest
Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections
Journal of Enhanced Heat Transfer
Facteur d'impact: 0.562 Facteur d'impact sur 5 ans: 0.605 SJR: 0.211 SNIP: 0.361 CiteScore™: 0.33

ISSN Imprimer: 1065-5131
ISSN En ligne: 1563-5074

Volume 26, 2019 Volume 25, 2018 Volume 24, 2017 Volume 23, 2016 Volume 22, 2015 Volume 21, 2014 Volume 20, 2013 Volume 19, 2012 Volume 18, 2011 Volume 17, 2010 Volume 16, 2009 Volume 15, 2008 Volume 14, 2007 Volume 13, 2006 Volume 12, 2005 Volume 11, 2004 Volume 10, 2003 Volume 9, 2002 Volume 8, 2001 Volume 7, 2000 Volume 6, 1999 Volume 5, 1998 Volume 4, 1997 Volume 3, 1996 Volume 2, 1995 Volume 1, 1994

Journal of Enhanced Heat Transfer

DOI: 10.1615/JEnhHeatTransf.v11.i2.20
pages 119-132

Bionic Optimization of Heat Transport Paths for Heat Conduction Problems

Zai-Zhong Xia
Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China
Xin-Guang Cheng
Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China
Zhi-Xin Li
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education School of Aerospace, Tsinghua University
Zeng-Yuan Guo
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Haidian District, Beijing 100084, China
Professor Guo was born on 28 February 1936 in Jiangsu Province, China. He graduated from Tsinghua University in 1959. He has worked in Tsinghua University, Beijing, China ever since, a tenure of over 50 years. Professor Guo’s research has been mainly concerned with thermofluid mechanics, micro/nanoscale heat transfer, thermal system optimization and efficient thermal transport. He developed the concepts of thermal drag, thermal drive, thermal displacement, and thermal instability which were presented in his keynote lectures at the 8th and 9th International Heat Transfer Conferences and in a chapter on "Thermally Induced Effects on Fluid Flow" in the Annual Review of Heat Transfer, vol. 5, 1994. Professor Guo’s research is also related to the Microscale and nanoscale heat transfer. In his keynote lecture at the International Conference on Transport Phenomena at Microscale in Canada in 2000 and at the 12th International Heat Transfer Conferences in France in 2002, Professor Guo first revealed that the microscale heat transfer size effect on the flow and heat transfer correlations is attributed to the variation of the dominant factors, such as the flow compressibility, surface roughness, and axial conduction in the tube wall, as the scale decreases even though the continuum assumption is still applicable. He was awarded the ICMM 2005 Lifetime Contribution Award in the field of Heat and Mass Transfer due to his pioneering contributions through original research related to micro/nanoscale heat transfer. In the last decade, Professor Guo has mainly focused his research of effective utilization of thermal energy. He proposed the field synergy principle for the optimization of convective heat transfer and introduced the physical quantity "entransy" to represent the physical nature of the field synergy principle, by analogy between thermal and electrical transport. The dissipation of entransy can be used to define the efficiencies of heat transfer processes and to establish the extremum principle of entransy dissipation for heat transfer optimization because it represents the irreversibility of heat transfer not related to heat-work conversions. In recent years, Professor Guo has focused his interest on the nature of heat. He proposed the Thermomass theory, using Einstein’s mass-energy relevance and proposed a general heat conduction law that includes various heat conduction models, such as the Fourier model and C-V model as special cases.


A fundamental problem of heat conduction optimization, the design of the most effective heat transport path using a given volume of high conductivity material, was studied in this article. Analogous to natural selection, bionic optimization is developed to construct the optimal constructs of the high conductivity material. In the numerical simulation, the high conductivity material was treated as being alive, growing at the location with maximum temperature gradient. Then, the bionic optimization is effectively used to construct the heat transport paths for a square bar and volume-to-point problem with uniform or nonuniform heat sources.