Optimizing thermo/hydro-Diodic performance (T/H-DP) of Tesla valve designs by artificial neural network (ANN) and genetic algorithm (GA); a numerical simulation
Abstract
Advanced cooling and fluid control techniques empower engineers to tailor fluid dynamics to meet precise needs, thereby boosting system reliability, safety, and performance. Cutting-edge developments in flow management, such as innovative valve designs, are pivotal in achieving these aims by enhancing flow regulation. The present study addresses the improvement of the overall efficiency of Tesla valves through three different sections. First, the flow properties and thermal behavior of a conventional two-stage Tesla valve were analyzed at varying inlet velocities. A novel rectangular Tesla valve design was then introduced to improve the diodic performance. Finally, an evolved rectangular Tesla valve was developed to further boost heat transfer capabilities alongside the diodic performance. The study used Thermal Diode Performance (TDP) and Hydraulic Diode Performance (HDP) as key performance metrics. Second, the impact of the number of stages on the thermo-diodic performance of the Tesla valve was examined at various velocities. The results showed that using a five-stage evolved rectangular Tesla valve at an inlet velocity of 1 m/s, instead of a two-stage one, enhanced the system\'s thermal performance by approximately 80.6 % and diodic performance by 789.4 % in reverse flow compared to forward flow. Third, the impact of configurational parameters of the valve\'s channel on the thermo-diodic performance of the evolved rectangular Tesla valve was examined by artificial neural network-based anticipation models. Two optimal configurations of OT1 and OT2 were introduced with the aim of maximizing the overall efficiency of the Tesla valve in forward and reverse directions, respectively. In the OT1, the overall efficiency in the forward and reverse directions has improved by 71.1 % and 20.4 %, respectively compared to the basic sample. Whereas in the OT2, the overall efficiency in the forward direction increased by 39.7 % and in the reverse direction by 47 % compared to the basic sample.
Author
Nashwan Adnan OTHMAN
ISSN
Publish Date: 27-Sep-2025