A TOPSIS-based thermal performance optimization of DHCTHX using MWCNT nanofluids

Abstract

Double-helically coiled tube heat exchangers are employed in many different heat transfer applications because of their better heat transfer capabilities and compact construction. The double helically coiled tube heat exchanger (DHCTHX) improves turbulence and maximizes heat transfer rate compared to straight tubes. A full factorial, orthogonal array of trials is used in this study (L27) to test various volume concentrations of nanofluids. The pressure drop, de, LMTD0C, re, and F have all been attempted to be optimized using the order preference similarity to the ideal solution technique. In this case, the mass flow rate and volume concentration are the variables for the input process, while the outputs are the heat transfer rate, pressure drop, de, LMTD0C, and F. The experimental results show that a nanofluids volume concentration is 0.6% and its mass flow is 120 with a range of 1460 Dean Numbers, which is the optimal configuration for maximizing the overall heat transmission and minimizing the pressure drop. The multiple-criteria decision-making technique was used in this study to identify the ideal cooling fluids in a DHCTHX with a significant pressure drop. The multi-walled carbon nanotube nanofluids may be used instead of conventional coolants in conjunction with the DHCTHX. According to this strategy, A3B1 is the ideal value, which aligns with the experiments’ findings.