Design optimization of perforated plate matrix heat exchangers for cryogenic applications using Teaching Learning Based Optimization (TLBO) method

27th International Cryogenics Engineering Conference and International Cryogenic Materials Conference 2018

Ratna Raju, L.^1 ; Nandi, T.K.^1

Cryogenic Engineering Centre, IIT Kharagpur, WB

721302, India^1

关键词: Cryogenic applications;    Cryogenic refrigeration;    Design optimization;    Design variables;    High surface area;    Liquefaction systems;    Objective functions;    Teaching-learning-based optimizations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/502/1/012053/pdf
DOI  :  10.1088/1757-899X/502/1/012053

来源: IOP

【 摘 要 】

A perforated plate matrix heat exchanger (PPHE) is a bonded stack of alternately arranged plates and spacers. Because of their high surface area density and high effectiveness, PPHEs are highly suitable for cryogenic applications such as cryogenic refrigeration and liquefaction systems. The aim of this study is to arrive at the optimized shape and design variables of a PPHE that satisfy the specified constraints, namely effectiveness and pressure drop, while the volume of the heat exchanger (as objective function) is minimized. A Teaching-Learning-Based Optimization (TLBO) method is used for optimum sizing of the PPHE.Published under licence by IOP Publishing Ltd.