高性能微型裸管换热器的优化设计与评价

Proceeding of Compact Heat Exchangers and Enhancement Technology for the Process Industries - 2003 Pub Date : 1900-01-01 DOI:10.1615/978-1-56700-195-2.320

N. Kasagi, Yuji Suzuki, N. Shikazono, T. Oku

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引用次数: 15

摘要

提出了一种微型裸管换热器的优化设计方法。采用模拟退火的方法，用训练好的神经网络表示指定管组的传热和压降特性。商业CFD代码FLUENT5用于获取直列管束的传热和压降数据集，然后将这些数据用于训练神经网络。设计了三种微型裸管换热器，并与传统的商用换热器进行了比较。优化后的微型裸管换热器性能优于传统的气液换热器。

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OPTIMAL DESIGN AND ASSESSMENT OF HIGH PERFORMANCE MICRO BARE-TUBE HEAT EXCHANGERS

An optimal design methodology is proposed for micro bare-tube heat exchangers. A simulated annealing method is employed with a trained neural network representing the heat transfer and pressure drop characteristics of a specified tube bank. A commercial CFD code, FLUENT5, is used to obtain the heat transfer and pressure drop data sets for in-line tube bundles, which are then used to train the neural network. Three types of micro bare-tube heat exchangers are designed and compared to conventional commercial heat exchangers. The optimized micro bare-tube heat exchangers show better performance than conventional gas-liquid heat exchangers.

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Proceeding of Compact Heat Exchangers and Enhancement Technology for the Process Industries - 2003

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