Abstract
ABSTRACTAn intelligent integrated approach of Jaya optimization algorithm and neuro-fuzzy network is introduced to model the natural convection in an open round cavity against the decision parameters. The decision parameters are the Rayleigh number (Ra) in range of 105 to 2 × 105 and ratio of the nonconductor barrier distance from the bottom of the cavity to the cavity diameter (H/D) in range of 0 to ∞. After that, the obtained hybrid model is applied to forecast the average Nusselt number in the cavity. In the next step, the experimentally obtained data by using a Mach–Zehnder interferometer is utilized to train the hybrid model. The accuracy of the hybrid model is evaluated through the calculation of average testing and checking errors. According to the obtained results, there is an optimum ratio (H/D = 0.5), in which the heat transfer is maximum. Moreover, it was found that the best hybrid model forecasts the natural convection in the cavity with the mean absolute percentage error of less than 0.75% and 1.40% for the testing and checking data, respectively.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
