Optimal Parameter Design of Plate-fin Heat Exchangers employing Kho-Kho Optimization Algorithm

• Published in: 2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC) pp. 236 - 241
• Main Authors: Mohapatra, Subinaya, Das, Dushmanta Kumar, Singh, Amit Kumar
• Format: Conference Proceeding
• Language: English
• Published: IEEE 28-12-2022
• Subjects: Costs; Heating systems; Metaheuristics; Microelectronics; Optimization based algorithm and Lab-View@2015; Plate-fin heat exchanger; Production; Propagation losses; Thermal design; Total annual cost reduction
• DOI: 10.1109/ICMACC54824.2022.10093555

To manufacture a precise mechanical device, design plays a crucial role. In order to build Plate-fin heat exchangers (PFHE) as efficiently as possible, a mechanical model is used to minimise three objective functions, i.e, total area of heat transferred, total pressure loss or drop, and total annual cost, in order to solve design challenges in mechanical devices and improve production. In this case, the heat exchanger pressure loss, annual cost, and efficacy are estimated using the \varepsilon - NTU approach. Seven design variables are considered as decision variables. This paper offers the Kho-Kho Optimizer(KKO), a meta-heuristic, inspired by Khoko's game strategy to resolve the issues for better performance. The findings obtained utilising the KKO approach are compared to those obtained using other optimization procedures with original preliminary design variables in this study. Finally, when it comes to addressing a mechanical problem, the KKO algorithm surpasses several existing meta-heuristic optimization algorithms.