The Aerospace Research and Education in the University of Utah’s Department of Mechanical Engineering conducts fundamental and system level research toward next generation aerospace and aeronautical systems. Specific strengths include computational design methods, aerodynamics, compressible flow, combustion, and aeroelasticity.

Faculty and Labs

Tianlie Feng
Lab – Feng MEX Lab

Our research is to push the frontiers of thermal energy transport, conversion, and storage in complex systems to extremes. Specifically, we target materials properties for ultra-high temperatures (1000-3000 °C), ultra-low temperatures (-270 °C), ultra-high thermal conductivity (2000 W/mK), ultra-low thermal conductivity (<0.01 W/mK), ultra-high power density, and ultra-fast energy transfer rate, from the atomic level to human scale. Our research methods include both advanced simulations and experiments, aiming for both fundamental sciences and cutting-edge technologies.

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Jacob Hochhalter
Lab – Materials Prognosis from Integrated Modeling & Experiment (M’)

Researches emergent structural and material prognosis issues that involve the multiscale and stochastic nature of plasticity and fatigue cracking in structural materials. The research objective of the group is to leverage the ever-increasing capabilities in experimental observation and data analysis tools to provide new capabilities for prognosing reliability of advanced engineered structures and materials.

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Robert G. Parker
Lab – Dynamics & Vibrations

Pursues research that merges academic investigations suitable for publication in leading journals with practical applications. While our primary goal is to pursue research valuable for the broad vibration research community, we select projects that are drawn from engineering applications. We pursue these goals while giving PhD and MS students in the lab academically exciting projects for them to develop their independent research skills and prepare for their future careers.

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Ashwin Renganathan
Lab – Computational complex engineered Systems Design Laboratory (CSDL)

Developing scalable computational methods for the design of next-generation complex engineered systems, such as aircraft. Specifically, we develop simulation-based design methods, where the goal is to make system-level design decisions in the presence of uncertainty and high-dimensional design spaces, with computationally expensive models of the system. Our research strives to make the design of complex engineered systems faster, cheaper, and more reliable. In this regard, we use and develop methods in approximation theory, optimization, and uncertainty quantification.

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