Heat exchangers (HE) are widely used in many different industries. The multi objective optimization of HE provides an avenue for improved efficiency and a reduction of cost. In the present work, a multi objective optimization tool for shell-and-tube heat exchanger design has been developed. The thermal calculation is described based on the log-mean-temperature-difference (LMTD) method and the effectiveness-NTU method. A multi objective optimization procedure based on two evolutionary optimization algorithms, non-dominated sorting genetic algorithm (NSGA-II) and teaching-learning based optimization (TLBO), is also implemented. Maximization of effectiveness and minimization of cost are identified as key objective functions applicable to most engineering problems and used as the objective functions for multi objective optimizations. This tool provides a user-friendly input panel of all parameters as well as a graphical output of the results. The results are validated against the examples in the literature.
|Title of host publication||15th UK Heat Transfer Conference 2017|
|Number of pages||2|
|Publication status||Published - 01 Sep 2017|
|Event||15th UK Heat Transfer Conference 2017 - Brunel University London, London, United Kingdom|
Duration: 04 Sep 2017 → 05 Sep 2017
|Conference||15th UK Heat Transfer Conference 2017|
|Period||04/09/2017 → 05/09/2017|