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Optimal design of the heat pipe using TLBO (teaching–learning-based optimization) algorithm

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  • Rao, R.V.
  • More, K.C.

Abstract

Heat pipe is a highly efficient and reliable heat transfer component. It is a closed container designed to transfer a large amount of heat in system. Since the heat pipe operates on a closed two-phase cycle, the heat transfer capacity is greater than for solid conductors. Also, the thermal response time is less than with solid conductors. The three major elemental parts of the rotating heat pipe are: a cylindrical evaporator, a truncated cone condenser, and a fixed amount of working fluid. In this paper, a recently proposed new stochastic advanced optimization algorithm called TLBO (Teaching–Learning-Based Optimization) algorithm is used for single objective as well as multi-objective design optimization of heat pipe. It is easy to implement, does not make use of derivatives and it can be applied to unconstrained or constrained problems. Two examples of heat pipe are presented in this paper. The results of application of TLBO algorithm for the design optimization of heat pipe are compared with the NPGA (Niched Pareto Genetic Algorithm), GEM (Grenade Explosion Method) and GEO (Generalized External optimization). It is found that the TLBO algorithm has produced better results as compared to those obtained by using NPGA, GEM and GEO algorithms.

Suggested Citation

  • Rao, R.V. & More, K.C., 2015. "Optimal design of the heat pipe using TLBO (teaching–learning-based optimization) algorithm," Energy, Elsevier, vol. 80(C), pages 535-544.
    • Handle: RePEc:eee:energy:v:80:y:2015:i:c:p:535-544
    DOI: 10.1016/j.energy.2014.12.008
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    Cited by:

    1. Alhuyi Nazari, Mohammad & Ahmadi, Mohammad H. & Ghasempour, Roghayeh & Shafii, Mohammad Behshad & Mahian, Omid & Kalogirou, Soteris & Wongwises, Somchai, 2018. "A review on pulsating heat pipes: From solar to cryogenic applications," Applied Energy, Elsevier, vol. 222(C), pages 475-484.
    2. Ozen Gunal & Mustafa Akpinar & Kevser Ovaz Akpinar, 2022. "Optimization of Laminar Boundary Layers in Flow over a Flat Plate Using Recent Metaheuristic Algorithms," Energies, MDPI, vol. 15(14), pages 1-20, July.

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