Akademik Veri Yönetim Sistemi
Selcuk 11th International Conference on Applied Sciences, Konya, Türkiye, 13 - 15 Aralık 2024, ss.197-208, (Tam Metin Bildiri)
The optimal design of manifolds in plate-fin microdevices is critical for achieving uniform flow distribution and enhancing device performance in applications such as microreactors and heat exchangers. This study investigates a systematic approach to optimize manifold geometry using computational fluid dynamics (CFD) integrated with Response Surface Methodology (RSM). The analysis focuses on the effects of geometric parameters, such as manifold area, channel length, and inlet/outlet configurations, on flow distribution and pressure drop. CFD simulations are conducted to explore the relationship between design parameters and performance metrics, generating data for the development of RSM-based predictive models. The optimization process aims to minimize pressure drop while ensuring flow uniformity across branched channels. Results show that the optimized manifold geometry achieves improved flow distribution, reducing maldistribution effects and enhancing device fficiency. The proposed methodology demonstrates the potential for automating the design of plate-fin microdevices, reducing the reliance on trial-and-error approaches. The findings provide a robust framework for the optimization of microfluidic devices, enabling their application in advanced chemical and energy processes.