Numerical investigation on the multi-objective optimization of a shell-and-tube heat exchanger with helical baffles

Abstract An improved method combining numerical simulation with multi-objective genetic algorithm (MOGA) was applied to study the flow and heat transfer characteristics of shell-and-tube heat exchanger with helical baffles (STHXsHB). It overcomes the dependence on empirical correlations. The helix angle and overlapped degree of helical baffles were chosen as optimization parameters, while the overall heat transfer coefficient K and pressure drop ΔP of STHXsHB were optimized by MOGA. The results showed that both overall heat transfer coefficient K and pressure drop ΔP varied adversely with the helix angles. The pressure drop ΔP was favorably affected by the overlapped degrees. The overall heat transfer coefficient K did not vary significantly with the overlapped degree. Three optimum configurations were obtained by the MOGA to maximize the overall heat transfer coefficient K and minimize the shell-side pressure drop ΔP. Compared with the original heat exchanger, the overall heat transfer coefficient K increased averagely by 28.3%, while the average pressure drop reduced averagely by 19.37%.

[1]  Santosh K. Gupta,et al.  Jumping gene adaptations of NSGA-II and their use in the multi-objective optimal design of shell and tube heat exchangers , 2008 .

[2]  Petr Stehlík,et al.  Comparison of correction factors for shell-and-tube heat exchangers with segmental or helical baffles , 1994 .

[3]  Hassan Hajabdollahi,et al.  Multi-objective optimization of shell and tube heat exchangers , 2010 .

[4]  Ya-Ling He,et al.  Effects of baffle inclination angle on flow and heat transfer of a heat exchanger with helical baffles , 2008 .

[5]  Antonio Casimiro Caputo,et al.  Heat exchanger design based on economic optimisation , 2008 .

[6]  Jian Wen,et al.  Experimental investigation on heat transfer enhancement of a heat exchanger with helical baffles through blockage of triangle leakage zones , 2014 .

[7]  Gongnan Xie,et al.  An experimental study of shell-and-tube heat exchangers with continuous helical baffles , 2007 .

[8]  Wang Qiu-wang.  Geometrical Optimization Design of Plate-fin Heat Exchanger Using Genetic Algorithm , 2006 .

[9]  Zhenyu Liu,et al.  Multi-objective optimization design analysis of primary surface recuperator for microturbines , 2008 .

[10]  Yanzhong Li,et al.  An experimental investigation of heat transfer enhancement for a shell-and-tube heat exchanger , 2009 .

[11]  Xiang Ling,et al.  Optimal design approach for the plate-fin heat exchangers using neural networks cooperated with genetic algorithms , 2008 .

[12]  Yanzhong Li,et al.  Optimization investigation on configuration parameters of serrated fin in plate-fin heat exchanger using genetic algorithm , 2016 .

[13]  A. V. Azad,et al.  Economic Optimization of Shell and Tube Heat Exchanger Based on Constructal Theory , 2011 .

[14]  Jian Wen,et al.  Optimization investigation on configuration parameters of spiral-wound heat exchanger using Genetic Aggregation response surface and Multi-Objective Genetic Algorithm , 2017 .

[15]  Mohsen Amini,et al.  Two objective optimization in shell-and-tube heat exchangers using genetic algorithm , 2014 .

[16]  Petr Stehlík,et al.  Helical Baffles in Shell-and-Tube Heat Exchangers, Part I: Experimental Verification , 1996 .

[17]  Qiuwang Wang,et al.  Optimization of Compact Heat Exchangers by a Genetic Algorithm , 2008 .

[18]  E. Damangir,et al.  Minimizing capital and operating costs of shell and tube condensers using optimum baffle spacing , 2004 .

[19]  Qiuwang Wang,et al.  Heat transfer analysis for shell-and-tube heat exchangers with experimental data by artificial neural networks approach , 2007 .

[20]  D. P. Sekulic,et al.  Fundamentals of Heat Exchanger Design , 2003 .

[21]  Wen-Quan Tao,et al.  3D numerical simulation on shell-and-tube heat exchangers with middle-overlapped helical baffles and continuous baffles – Part II: Simulation results of periodic model and comparison between continuous and noncontinuous helical baffles , 2009 .

[22]  Ke Li,et al.  Configuration parameters design and optimization for plate-fin heat exchangers with serrated fin by multi-objective genetic algorithm , 2016 .

[23]  Si-ying Sun,et al.  Optimization in calculation of shell-tube heat exchanger , 1993 .

[24]  J. Lutcha,et al.  Performance improvement of tubular heat exchangers by helical baffles , 1990 .

[25]  Kwang-Yong Kim,et al.  Multi-objective optimization of arc-shaped ribs in the channels of a printed circuit heat exchanger , 2015 .

[26]  Petr Stehlík,et al.  Different Strategies to Improve Industrial Heat Exchange , 2002 .

[27]  Jian Wen,et al.  Experimental investigation on performance comparison for shell-and-tube heat exchangers with different baffles , 2015 .

[28]  Reşat Selbaş,et al.  A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view , 2006 .

[29]  Wen Jian,et al.  Numerical investigation on baffle configuration improvement of the heat exchanger with helical baffles , 2015 .

[30]  Ke Li,et al.  Energy and cost optimization of shell and tube heat exchanger with helical baffles using Kriging metamodel based on MOGA , 2016 .

[31]  V. Kottke,et al.  Visualization and determination of local heat transfer coefficients in shell-and-tube heat exchangers for staggered tube arrangement by mass transfer measurements , 1998 .

[32]  Felix Hueber,et al.  Principles Of Enhanced Heat Transfer , 2016 .

[33]  S. Orszag,et al.  Renormalization group analysis of turbulence. I. Basic theory , 1986 .

[34]  Tao Wenquan.  Shell-side heat transfer and pressure drop of shell-and-tube heat exchangers with overlap helical baffles , 2005 .