Function chain neural network prediction on heat transfer performance of oscillating heat pipe based on grey relational analysis

Author:

E Jia-qiang,Li Yu-qiang,Gong Jin-ke

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,General Engineering

Reference15 articles.

1. GROLL M, KHANDEKAR S. Pulsating heat pipes: A challenge and still unsolved problem in heat pipe science [J]. Archives of Thermodynamics, 2002, 23(4): 17–28.

2. KHANDERKAR S, DOLLINGER N, GROLL M. Understanding operational regimes of pulsating heat pipes: An experimental study [J]. Applied Thermal Engineering, 2003, 23(6): 707–719.

3. RITTIDECH S, TERDTOON P, MURAKAMI M, KAMONPET P, JOMPAKDEE W. Correlation to predict heat transfer characteristics of a closed-end oscillating heat pipe at normal operating condition [J]. Applied Thermal Engineering, 2003, 23(4): 497–510.

4. TONG B Y, WONG T N, OOI K T. Closed-loop pulsating heat pipe [J]. Applied Thermal Engineering, 2001, 21(18): 1845–1862.

5. CUI Xiao-yu, WENG Jian-hua, GROLL M. Experimental investigation of heat transfer performance for the cooper/water pulsating heat pipe [J]. Journal of Engineering Thermo physics, 2003, 24(5): 864–86.

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