Aerospace Seminar: Reduced-Order Modeling for Dynamic Stall Load Prediction
With its long-standing influence on the rotorcraft, wind energy, and turbomachinery communities, the problem of dynamic stall continues to cultivate new investigations concerning the mechanisms underlying the physical process. These are motivated by attempts to better understand, model, and control its aerodynamic influence on airfoils. Because of the difficulties found in accurately and consistently predicting the stall process, engineering efforts for the design of advanced airfoil sections rely heavily on experimentally driven, semi-empirical models. These models have proven to be computationally faster and less expensive than full computational-fluid dynamics simulations. However, they require the experimental data that are being predicted, or at the very least, minimal unsteady testing for all airfoils considered. In this sense, the models are “postdictive” in nature.
This presentation will explore a modal decomposition methodology of airfoil surface pressure fields that results in a robust low-order representation of the dynamic stall phenomenon in terms of the pressure response on the airfoil surface, providing the foundation for an efficient reduced-order model. The model basis is developed using parametric modal decomposition (PMD), which not only allows the unsteady surface pressure field of an airfoil to be accurately reconstructed but also provides a framework for additional in-depth analysis of the dynamic stall phenomenon using sparse data-based machine learning techniques to extract parsimonious, nonlinear dynamical system representations.
About the Speaker:
Dusty Coleman is a Research Engineer at Cornerstone Research Group (CRG) in Dayton, OH. In this role, he is primarily responsible for developing complex system design, analysis, and control toolsets in support of various defense related programs. More specifically, Dr. Coleman has applied his background in nonlinear systems and reduced order modeling to: build a thermal electrochemical Li-ion battery model supporting CRG’s hybrid power supply efforts, develop a droplet transport and evaporation model to determine mass flow rates in a combustion sizing effort, construct CRG’s aircraft MDAO framework for sizing and predicting flight performance of both manned and unmanned platforms exhibiting unique power and propulsion networks, and develop a low acoustic signature propulsion system design optimization tool. Currently, Dr. Coleman is working to create a multi-physics material processing design and analysis framework to support CRG’s high temperature composites division.
Dr. Coleman received his B.S. in Mechanical Engineering from Clemson University, with a minor in Mathematical Science, and his Ph.D. in Aerospace and Mechanical Engineering from the University of Notre Dame. During his tenure at the University of Notre Dame, Dr. Coleman developed multiple wind tunnel testing programs for unsteady airfoil characterization, dynamic stall investigation, and active flow control using dielectric barrier discharge (DBD) plasma actuators. Dr. Coleman’s unsteady aerodynamics research included the implementation of subspace methods for reduced-order modeling of unsteady surface pressure fields during dynamic stall events.
Hosted by: Dr. Matt McCrink