The nanomaterials play a vital role in improving the efficiency of cooling systems due to enhanced thermal features. In countries like Pakistan, where energy crisesand inefficient thermal management are major challenges, nanofluids provide a solution to reduce energy losses. The main goal of this study is to analyze optimizedheat transfer effects with applications of modern Artificial Neural Networks (ANN) with more effective thermal performances and applications in advancedengineering and energy systems. The results show that implementing ANN is more effective in boosting the thermal behavior of hybrid nanomaterials with moreefficient thermal performances.
Tools: Matlab, Ms excel,Mathtype
Department: Department of Mathematics
Project Poster
