Comparative study of different meta-heuristics on optimal design of a heat exchanger Article Swipe

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Solver Particle swarm optimization Heat exchanger Benchmark (surveying) MATLAB Metaheuristic Mathematical optimization Software Computer science Mechanical engineering Engineering Structural engineering Mathematics Operating system Programming language Geography Geodesy

Humam Kareem Jalghaf , Ali Habeeb Askar , Hazim Albedran , Endre Kovács , Kâroly Jármai ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1556/606.2022.00543 · OA: W4317042750

The paper compares different metaheuristics for using heat exchangers as a benchmark to estimate the best design parameter values using optimization efficient algorithms. Many MATLAB algorithms are used in this study. Also, an engineering equation solver, which is commercial software, is used to solve the issue. The design calculates three variables, which are the length, and inner and outer pipe diameter of the heat exchanger. The results showed that the best algorithms are particle swarm optimization, and when using this algorithm, the optimal design of the double pipe heat exchanger is as follows: the pipe length is 5.6734·10 −1 m, the pipe inner diameter is 8.0203·10 −3 m, and the pipe outer diameter is 2.2439·10 −2 m.