Marcel Ilie is an Assistant Professor in the Department of the Mechanical Engineering at Georgia Southern University.
Areas of Expertise (4)
Carleton University: Ph.D.
Groves, Curtis; Ilie, Marcel; Schallhorn, Paul
There have been few discussions on using Computational Fluid Dynamics (CFD) without experimental validation. Pairing experimental data, uncertainty analysis, and analytical predictions provides a comprehensive approach to verification and is the current state of the art. With pressed budgets, collecting experimental data is rare or non-existent. This paper investigates and proposes a method to perform CFD uncertainty analysis only from computational data. The method uses current CFD uncertainty techniques coupled with the Student-T distribution to predict the heat transfer coefficient over a flat plate. The inputs to the CFD model are varied from a specified tolerance or bias error and the difference in the results are used to estimate the uncertainty. The variation in each input is ranked from least to greatest to determine the order of importance. The results are compared to heat transfer correlations and conclusions drawn about the feasibility of using CFD without experimental data. The results provide a tactic to analytically estimate the uncertainty in a CFD model when experimental data is unavailable.
A novel approach, large-eddy simulation, is proposed for the numerical investigation of helicopter blade–vortex mechanism of interaction. The novel approach overcomes all the issues, posed by the other CFD approaches, associated with the vortex dissipation due to the turbulence modeling (RANS, URANS) and computational limitations of DNS. The influence of vertical miss distance and vortex core size on the helicopter blade–vortex mechanism of interaction is subject of investigation. It was observed that the magnitude of the aerodynamic coefficients decreases with the increase of vertical miss distance and the decrease of vortex core size.