Jing Li

Jing earned her Ph.D. in Mechanical Engineering from the Department of Mechanical Engineering and Materials Science at Duke University in December 2016. While at Duke, she worked with Dr. Robert Kielb and focused on understanding the complex multirow interactions and mistuned forced response in axial compressors. Her research was funded by the GUIde 5 Consortium. She was awarded the IGTI Student Scholarship in 2016.

Jing joined GE Global Research Center in Niskayuna, NY in January 2017 as a mechanical engineer specialized in aerodynamics and aeroacoustics.

Background

She was born and raised in Xi’an, one of the oldest cities in China. She graduated with honor from Xi’an Jiaotong University in 2011. She found herself particularly interested in fluid dynamics and heat transfer, and had her first research internship in the Two Phase Flow Lab, POSTECH in South Korea, performing comprehensive experimental analysis on the critical heat flux enhancement of boiling heat transfer using graphene nanofluids in saturated conditions.

Later she was funded by the European Commission to pursue her Master’s in the THRUST program. She developed her interests in turbomachinery aerodynamics there. She also had a wonderful experience working as a research intern (or “stagiaire”) in the Von Karman Institute for Fluid Dynamics in Belgium with Dr. Tom Verstraete in summer 2012. Together they optimized the geometry of a U-bend in gas turbine blade cooling channels resulting in 12-30% decrease in total pressure loss and 8-17% increase in heat transfer ability.

Jing enjoys reading, jogging, travelling and taking photos. She also annotates and translates scripts of American TV series for herself and many other Chinese English-learners like her.

Graduate Research Topics

  • Blade Row Interactions: A better understanding of blade row interactions in multistage turbomachines can help designers to improve aerodynamic and aeromechanical performances of gas turbine engines with less development time. This study aims to obtain a deeper understanding of the flow physics and also a more accurate CFD prediction of resonant responses caused by these multi-row interactions.