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Productivity yielding in shell and tube heat exchanger by MCDM-NBO approach

机译:MCDM-NBO方法壳管和管热交换器生产率

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The productivity of shell and tube heat exchangers are governed by various geometrical parameters like tube diameter, tube thickness, tube length, tube pitch, tube layout, installation area and baffle spacing of the heat exchanger. The operational efficiency of heat exchangers is highly influenced by the characteristics of heat exchanger parameters. The exchanger efficiency gets trapped due to many incongruities' effects like over-pressure, bio-fouling, chemical fouling and corrosion. The selection of optimum design configuration is essential to achieve higher operational efficiency for a heat exchanger. But the performance and reliability of the optimization process play a key role in selecting and deselecting significant and insignificant parameters, respectively. So, cognitive selection of parameters and henceforth a reliable optimization process is required to identify optimal design for a heat exchanger. Moreover, economic factors also contribute to attain a consolidated yield result for a heat exchanger. This research proposes an optimal configuration with the help of ensemble output obtained by multi-criteria decision making and nature-based optimization algorithm. It has been found that exchange efficiency in optimal configuration is boosted by 22% from prototype heat exchanger.
机译:壳和管热交换器的生产率由管径,管厚度,管长,管间距,管布置,安装区域和热交换器的挡板间隔等各种几何参数控制。热交换器的操作效率受到热交换器参数特性的高度影响。由于过压,生物污垢,化学污垢和腐蚀等许多不协调的效果,交换机效率被捕获。选择最佳设计配置对于实现热交换器的更高运行效率至关重要。但优化过程的性能和可靠性在选择和取消选择显着和微不足道的参数方面发挥着关键作用。因此,需要认知的参数和自由的选择可靠的优化过程来识别热交换器的最佳设计。此外,经济因素也有助于获得换热器的综合产量结果。该研究提出了利用多标准决策和基于自然的优化算法获得的集合输出的最佳配置。已经发现,最佳配置中的交换效率从原型换热器升高了22%。

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