Abstract
Nanofluids have the property of being able to flow heat rapidly, so nanofluids are useful in many applications such as heat distribution, cooling, and various machine tools. The purpose of this research is to determine the heat transfer in the heat exchanger with the cold fluid MnFe2O4–water nanofluid at various input parameters, namely, number of tubes, cold fluid flow rate, and volume fraction of nanoparticles to determine the optimal input response. A sensitive analysis used in this study is the Response Surface Methodology (RSM) to determine the optimum value of the response that affects a factor. Computational Fluid Dynamics (CFD) method is also used in this research to determine heat transfer in fluid flow. The parameters used in this study include the volume fraction percentage of MnFe2O4 nanoparticles (0.025%; 0.05%; 0.075%), nanofluid flow as cold fluid (0.2 l/min; 0.4 l/min; 0.6 l/min), and the number of tubes in the heat exchanger for cold fluids (1 tube; 2 tubes; 3 tubes). The results showed that the input parameters have an influence on LMTD, overall heat transfer coefficient and heat transfer rate with a coefficient of determination (R2) of 87.25%, 99.30%, and 94.18%. The heat characteristics also increased along with the addition of the volume fraction of MnFe2O4 nanoparticles and the nanofluid flow rate in the heat exchanger.
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Permanasari, A.A., Affandi, M.T., Puspitasari, P., Sukarni (2023). Modeling and Sensitivity Analysis of Heat Transfer Enhancement in Double-Pipe Heat Exchanger Using Nanofluid. In: Tolj, I., Reddy, M.V., Syaifudin, A. (eds) Recent Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-0867-5_34
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