6th International Conference on Fluid Flow, Heat and Mass Transfer (FFHMT'19)
The 6th International Conference on Fluid Flow, Heat and Mass Transfer (FFHMT'19) JUNE 18 - 19, 2019 was held in Ottawa, Canada. FFHMT'19 is intended to become one of the leading conferences on the fields of heat, momentum, and mass transfer. This conference provided excellent opportunities to researchers from all over the world to present their research achievements and to develop new collaborations and partnerships with experts in the field. Edgar Avalos, PhD, from the School of Engineering got the opportunity to participate in this conference helping as a session chair throughout the first day and as a presenter during the second day.
During the second day, Edgar Avalos presented a paper titled “Heat Transfer Coefficient Prediction of a Porous Material by Implementing a Machine Learning Model on a CFD Data Set”. This paper aims to implements Machine Learning techniques as a reliable tool for material properties selection. This field of research is relatively new and it is known as Material Informatics. First, a CFD data set of a porous structure was employed as training set. Then, different supervised models were used and tested. Using a testing data set (experimental data), one model was chosen for effective heat transfer coefficient prediction given certain group of material properties.