Analysis of adaptive-network-based fuzzy inference system (ANFIS) to estimate buoyancy-induced flow field in partially heated triangular enclosures

Abstract

Adaptive-network-based Fuzzy Inference System (ANFIS) was used to predict temperature and flow field due to buoyancy-induced heat transfer in a partially heated right-angle triangular enclosure. Results are obtained for two-dimensional, steady and laminar flow. Data were generated from earlier studies which were obtained from a CFD-based computer code writing in Fortran. Equations were analyzed using finite difference method. Effective parameters on flow and temperature fields are Rayleigh number, location of partial heater and height-to-base ratio of triangular enclosures. Both instability and accuracy related results will be discarded by using ANFIS. Thanks to using of ANFIS, computation time, memory space and effort were reduced.