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Optimization of a radiator for a MPFL system in a GEO satellite

  • Afshari, Behzad Mohasel (Satellite Research Institute (SRI), Iranian Space Research Center (ISRC)) ;
  • Abedi, Mohsen (Satellite Research Institute (SRI), Iranian Space Research Center (ISRC)) ;
  • Shahryari, Mehran (Satellite Research Institute (SRI), Iranian Space Research Center (ISRC))
  • 투고 : 2017.07.01
  • 심사 : 2017.08.29
  • 발행 : 2017.11.25

초록

One of the components that used in the satellite thermal control subsystem is the Mechanically Pumped Fluid Loop (MPFL) system; this system mostly used in geosynchronous orbit (GEO) satellites, and can transfer heat from a hot point to a cold point using the fluid which circulated in a closed loop. Heat radiates to the deep space at the cold plate to cool down the fluid temperature. In this research, the radiative heatexchanger (RHX) for a MPFL system is optimized. The genetic algorithm has been used for minimizing the total mass and pressure drop by considering a constant transferred heat rate at the heat exchanger. The optimization has been done in two cases. In case I, two parameters are considered as a goal function, so optimization is performed using NSGA-II method. Results of optimization are shown in the pareto diagram. In case II, the diameter of pipe is considered constant, so the optimized value for distances of the parallel pipes is obtained by using the genetic algorithm, in which the system has the least total mass. Results show that in the RHX, by increasing the pipe diameter, pressure drop decreases and total mass increases. Also by considering a constant value for pipe diameter, an optimum distance between pipes and pipe length are obtained in which the system has a minimum mass.

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참고문헌

  1. Ahmad, S. and Linnhoff, B. (1990), "Cost optimum heat exchanger networks target and design for detailed capital cost model", J. Comput. Chem. Eng., 14(7), 751-767. https://doi.org/10.1016/0098-1354(90)87084-3
  2. Cihat, A. (2006), "Optimum design of space radiators with temperature-dependent thermal conductivity", Appl. Therm. Eng., 26(11), 1149-1157. https://doi.org/10.1016/j.applthermaleng.2005.10.038
  3. Frank, D.P.D. and Incropera, P. (2011), Fundamentals of Heat and Mass Transfer, John Wiley & Sons.
  4. Hamidreza, N., Behzad, N. and Pooya, H. (2011), "Energy and cost optimization of a plate and fin heat exchanger using genetic algorithm", J. Appl. Therm. Eng., 31(10), 1839-1847. https://doi.org/10.1016/j.applthermaleng.2011.02.031
  5. Linnhoff, B. and Ahmad, S. (1990), "Cost optimum heat exchanger networks minimum energy and capital using simple models for capital cost", J. Comput. Chem. Eng., 14(7), 729-750. https://doi.org/10.1016/0098-1354(90)87083-2
  6. Naumann, R.J. (2004), "Optimizing the design of space radiators", J. Thermophys., 25(6), 1929-1941. https://doi.org/10.1007/s10765-004-7747-0
  7. Patel, V.K. and Rao, R.V. (2010), "Design optimization of shell and tube heat exchanger using particle swarm optimization technique", J. Appl. Therm. Eng., 30(11), 1417-1425. https://doi.org/10.1016/j.applthermaleng.2010.03.001
  8. Prashant, K.R. (2015), "Space radiator optimization for single-phase mechanical pumped fluid loop", J. Therm. Sci. Eng. Appl., 7(4), 041021. https://doi.org/10.1115/1.4031539
  9. Rao, R.V. and Patel, V.K. (2010), "Thermodynamic optimization of cross flow plate-fin heat exchanger using a particle swarm optimization algorithm", J. Therm. Sci., 49(9), 1712-1721. https://doi.org/10.1016/j.ijthermalsci.2010.04.001
  10. Sepehr, S. and Hassan, H. (2010), "Thermal economic multi objective optimization of plate fin heat exchanger using genetic algorithm", J. Appl. Energy, 87(6), 1893-1902. https://doi.org/10.1016/j.apenergy.2009.11.016
  11. Xie, G.N., Sunden, B. and Wang, Q.W. (2008), "Optimization of compact heat exchangers by a genetic algorithm", J. Appl. Therm. Eng., 28(8), 895-906. https://doi.org/10.1016/j.applthermaleng.2007.07.008
  12. Zhao, J., Cheng, C., Song, Y., Liu, W., Liu, Y., Xue, K., Zhu, Z., Yang, Z., Wang, D. and Yang, M. (2012), "Heat transfer analysis of methane hydrate sediment dissociation in a closed reactor by a thermal method", Energies, 5(5), 1292-1308. https://doi.org/10.3390/en5051292
  13. Zhao, J., Fan, Z., Dong, H., Yang, Z. and Song, Y. (2016), "Influence of reservoir permeability on methane hydrate dissociation by depressurization", J. Heat Mass Transf., 103, 265-276. https://doi.org/10.1016/j.ijheatmasstransfer.2016.05.111

피인용 문헌

  1. Performance Analysis of Single-Phase Space Thermal Radiators and Optimization Through Taguchi-Neuro-Genetic Approach vol.14, pp.6, 2017, https://doi.org/10.1115/1.4052897