Plate-fin heat exchanger optimal design for industry using both single and multi-objective granularity based surrogate assisted Kho-Kho optimization

Abstract

All engineering devices stand on the basis of design. The mechanical design of Plate-fin heat exchanger (PFHE) always needs a better design to reduce cost while increasing productivity. For an optimal design of PFHE, three distinct issues: total heat transfer area, total volume, and total annual cost, are tackled using a novel meta-heuristic approach. This method is termed as the Granularity-based Surrogate-assisted Kho-Kho (GBSA-KKO) approach. The population is granulated into two subsets, i.e., fine grained and coarse grained and then different approximation methods are implemented with new infill criteria. Eight different benchmark functions are carried out to estimate the efficiency of the proposed GBSA-KKO approach. In conclusion, the proposed optimization approaches successfully minimize the objectives of total heat transfer area, total volume, and total annual cost, yielding values of 79.35 m${}^2$, 0.00247 m${}^3$, and 838.218$, respectively.