Project Goals: The aims of this project are: (i) Developing a novel variable-fidelity optimization, where enables to find the optimum design of computationally expensive simulations with high reliability and efficient usage of resources (our results show ~80% computational time savings); and (ii) Integrating the variable-fidelity optimization into a set of open-source tools to build a fully automated CFD software to design ribleted airfoils (airfoils covered by tiny riblets, which inspired by unique skin features of marine animals) to increase aerodynamic efficiency.
My Roles: My two main roles include: (i) developing the novel variable-fidelity optimization based on particle-based and batch Bayesian optimization; and (ii) designed the experiments and integrating our fully automated CFD framework to find optimum riblet design for maximizing aerodynamic efficiency (the primary results show ~17% drag reduction, which is substantial).
Recognition: For this project, I won third place in the MDO paper competition at the AIAA Aviation Forum 2019. The winners were judged based on their paper as well as a 20-minute oral presentation given at the conference. Judges also assessed the originality of the work and its importance to the field. The selected works judged by Laura Mainini (Massachusetts Institute of Technology), Douglas Allaire (Texas A&M University), Justin Gary (NASA Glenn Research Center), Manav Bhatia (Mississippi State University), and Jason Hicken (Rensselaer Polytechnic Institute).
Publications:
My Roles: My two main roles include: (i) developing the novel variable-fidelity optimization based on particle-based and batch Bayesian optimization; and (ii) designed the experiments and integrating our fully automated CFD framework to find optimum riblet design for maximizing aerodynamic efficiency (the primary results show ~17% drag reduction, which is substantial).
Recognition: For this project, I won third place in the MDO paper competition at the AIAA Aviation Forum 2019. The winners were judged based on their paper as well as a 20-minute oral presentation given at the conference. Judges also assessed the originality of the work and its importance to the field. The selected works judged by Laura Mainini (Massachusetts Institute of Technology), Douglas Allaire (Texas A&M University), Justin Gary (NASA Glenn Research Center), Manav Bhatia (Mississippi State University), and Jason Hicken (Rensselaer Polytechnic Institute).
Publications: