PLoS ONE • Vol 19 • No 6
Performance optimization for an optimal operating condition for a shell and heat exchanger using a multi-objective genetic algorithm approach
June 2024 • B. Venkatesh, Ajmeera Kiran, Mudassir Khan, Mohammad Khalid Imam Rahmani, Laxmi Upadhyay, J. Chinna Babu, T. Lakshmi Narayana
In this study, shell and heat exchangers are optimized using an integrated optimization framework. In this research, A structured Design of Experiments (DOE) comprising 16 trials was first conducted to systematically determine the essential parameters, including mass flow rates (mh, mc), temperatures (T1, t1, T2, t2), and heat transfer coefficients (€, TR, U). By identifying the first four principal components, PCA was able to determine 87.7% of the variance, thereby reducing the dimensionality of the problem. Per…