In the present paper a mathematical model for a mini-channel heat exchanger is proposed. Multiobjective optimization using genetic algorithm is performed in the next step in order to obtain a set of geometrical design parameters, leading to minimum pressure drops and maximum overall heat transfer coefficient. Multiobjective optimization procedure provides a set of optimal solutions, called Pareto front, each of which is a trade-off between the objective functions and can be freely selected by the user according to the specifications of the project. A sensitivity analysis is also carried out to study the effects of different geometrical parameters on the considered functions. The whole system has been modeled based on advanced experimental correlations in matlab environment using a modular approach.
Mathematical Modeling and Multi-Objective Optimization of a Mini-Channel Heat Exchanger Via Genetic Algorithm
Manuscript received December 11, 2012; final manuscript received February 19, 2013; published online July 18, 2013. Assoc. Editor: Zahid Ayub.
- Views Icon Views
- Share Icon Share
- Cite Icon Cite
- Search Site
Selleri, T., Najafi, B., Rinaldi, F., and Colombo, G. (July 18, 2013). "Mathematical Modeling and Multi-Objective Optimization of a Mini-Channel Heat Exchanger Via Genetic Algorithm." ASME. J. Thermal Sci. Eng. Appl. September 2013; 5(3): 031013. https://doi.org/10.1115/1.4023893
Download citation file:
- Ris (Zotero)
- Reference Manager