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<p>The shell and tube heat exchanger, a critical component of the dyeing machine, plays a pivotal role in achieving energy efficiency and reducing consumption. This study proposes an improved baffle structure and introduces a novel staggered curved fan-gap baffle heat exchanger (SCFBHE) specifically designed for dyeing machines. Simulation results reveal that the SCFBHE exhibits a 21 % higher comprehensive heat transfer performance compared to the common single-bow shaped baffle heat exchanger. The impact of the number of baffles, curvature radius, and the proportion of gap area on the overall heat exchanger performance was analyzed. To further optimize its parameters, a genetic algorithm with BP neural network model was established, resulting in an approximate 12 % enhancement in heat exchange performance after optimization. Additionally, experimental validation demonstrates significant improvements in production efficiency when integrating the proposed combination of heat exchangers into practical manufacturing processes.</p>

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Design of staggered curved fan-gap baffle structure for heat exchanger in dyeing machines and parameter optimization using bp neural network

  • 期刊论文

  • 发表日期：

    2025年5月31日

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  • Miao Qian,
  • Xiaopeng Pei,
  • Zhong Xiang,
  • Hang Zhao,
  • Weitao Wu,
  • Zhifeng Hu

摘要

The shell and tube heat exchanger, a critical component of the dyeing machine, plays a pivotal role in achieving energy efficiency and reducing consumption. This study proposes an improved baffle structure and introduces a novel staggered curved fan-gap baffle heat exchanger (SCFBHE) specifically designed for dyeing machines. Simulation results reveal that the SCFBHE exhibits a 21 % higher comprehensive heat transfer performance compared to the common single-bow shaped baffle heat exchanger. The impact of the number of baffles, curvature radius, and the proportion of gap area on the overall heat exchanger performance was analyzed. To further optimize its parameters, a genetic algorithm with BP neural network model was established, resulting in an approximate 12 % enhancement in heat exchange performance after optimization. Additionally, experimental validation demonstrates significant improvements in production efficiency when integrating the proposed combination of heat exchangers into practical manufacturing processes.