The surrogate assisted design optimization of a twisted oval tube heat exchanger

Pitak Promthaisong

Heat Pipe and Thermal Equipment Design Research Unit, Department of Mechanical Engineering, Faculty of Engineering, Mahasarakham University, 44150

Bopit Bubphachot

Heat Pipe and Thermal Equipment Design Research Unit, Department of Mechanical Engineering, Faculty of Engineering, Mahasarakham University, 44150

Teerapat Chompookham

Heat Pipe and Thermal Equipment Design Research Unit, Department of Mechanical Engineering, Faculty of Engineering, Mahasarakham University, 44150

Narin Siriwan

Heat Pipe and Thermal Equipment Design Research Unit, Department of Mechanical Engineering, Faculty of Engineering, Mahasarakham University, 44150

kittinan Wansasueb

Heat Pipe and Thermal Equipment Design Research Unit, Department of Mechanical Engineering, Faculty of Engineering, Mahasarakham University, 44150

DOI: https://doi.org/10.14456/apst.2025.37

Keywords: Twisted oval tube Heat transfer Surrogate model Kriging Surrogate-assisted design optimization

Abstract

A design for a twisted oval tube (TOT) heat exchanger using a surrogate-assisted metaheuristic (MH) optimization technique is proposed in this work. The heat transfer characteristic in the TOTs is presented using the computational fluid dynamic (CFD) method, considering parameters such as pitch ratios (PR), cross-sectional ratios (DR), and Reynolds number (Re) ranging from 0.6 to 1.4, 0.02 to 0.1, and 100 to 2,000, respectively. The fitness functions were considered as multi-objective, including the Nusselt number (Nu) and the Poiseuille number (fRe) [1]. To reduce the time consumed in the design procedure, surrogate-assisted optimization was applied in the optimum design search phase. Well-known surrogate models (SuMo), including the Kriging (KRG), radial basis function interpolation (RBF), and k-nearest neighborhood method (KNN), were investigated and compared when applied with metaheuristic algorithms. The results show that the most acceptable prediction model is the RBF-Inverse Multiquadric kernel with the multi-objective meta‑heuristic with iterative parameter distribution estimation (MMIPDE), with average errors of 20.9731 and 15.6011 for Nu and fRe, respectively.

How to Cite

Promthaisong, P., Bubphachot, B. ., Chompookham, T. ., Siriwan, N. ., & Wansasueb, kittinan. (2025). The surrogate assisted design optimization of a twisted oval tube heat exchanger. Asia-Pacific Journal of Science and Technology, 30(03), APST–30. https://doi.org/10.14456/apst.2025.37

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