Shape optimization of a long-tapered R134a ejector mixing chamber

José Sierra-Pallares, Javier García del Valle, Jorge Muñoz Paniagua, Javier García, César Méndez-Bueno and Francisco Castro

Energy, 2018, vol. 165, issue PA, 422-438

Abstract: The purpose of this investigation is to develop a computational methodology for the shape optimization of long-tapered mixing chambers of refrigerant ejectors based on the internal entropy generation. The workflow of the aforementioned methodology includes a one dimensional model to generate a baseline geometry. Then a design of experiments is performed around a parametrization of the baseline geometry and the resulting combinations are introduced in the CFD model. Based on the CFD entropy generation results, a surrogate model is trained and further used to determine the optimum geometry for the mixing chamber. The application of the surrogate model is not straightforward, but rather a loop style routine has been programmed in order to assure a global minimum rather than a local one.

Keywords: CFD; Ejector; Mixing chamber; Refrigeration; Shape optimization (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:165:y:2018:i:pa:p:422-438

DOI: 10.1016/j.energy.2018.09.057

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