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2017 Ph.D. Defenses

Jun

28

2017

PhD Candidate Neerajha Nagarjan - "Biomechanical Investigation of Engineered Muscle Tissue Constructs for Disease Modeling and Biorobotics"

WHERE: B029 Hessert Laboratory
FROM: 9:30AM TO 11:30AM

Contractility of heart muscle cells, or cardiomyocytes (CM), is the major parameter for determining their maturity and functionality. Consequently, investigating the effect of mechanical microenvironment on CM function is vital for understanding the underlying mechanism of their behavior in healthy as well as in diseased state. In this work, we investigated contractile biomechanical properties of cardiomyocytes using two different approaches, for biomedical applications ranging from biorobotics to heart disease studies

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Jun

20

2017

PhD Candidate Mohammed S. Kamel - "Aero-Optical Predictions of High-Reynolnds Number Flows Using Wall-Modeled Large-Eddy Simulation"

WHERE: 103 Multidisciplinary Research Building
FROM: 2:00PM TO 4:30PM

Reliable prediction of optical wavefront distortions induced by compressible turbulent flow surrounding an aperture is crucial to the development of airborne laser systems. Large-eddy simulation (LES) with a wall model provides a promising high-fidelity simulation method for high-Reynolds-number aero-optical flows by avoiding the severe near-wall resolution requirement. In this study, wall-modeled LES is employed to predict and analyze aero-optical distortions of subsonic and supersonic turbulent boundary layers, and subsonic and transonic flows over cylindrical turrets at high Reynolds numbers.

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May

17

2017

PhD Candidate Brian F. Hilbert - "The Design, Validation, and Application of an Inverse Heat Transfer Measurement Technique"

WHERE: 103 Multidisciplinary Research Building
FROM: 2:00PM TO 4:30PM

A heat transfer measurement technique based on the solution of an inverse conduction problem has been developed, validated, and applied in transonic turbine casings with variable surface roughness. A major advantage of the method is that it can be implemented for irregular surface geometries, as opposed to contact sensors which are generally not applicable in these types of situations.

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May

10

2017

PhD Candidate Ming Ma - "Using Direct Numerical Simulation and Statistical Learning to Model Bubbly Flows in Vertical Channels"

WHERE: 365C Fitzpatrick Hall
FROM: 1:00PM TO 3:00PM

Direct Numerical Simulations (DNS) of multiphase flows have progressed rapidly over the last decade and it is now possible to simulate motions of hundreds of deformable bubbles in turbulent flows. The availability of different statistics calculated from such DNS data could help advance the development of new reduced order models of the average or large-scale flows.

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May

8

2017

PhD Candidate Junye Wang - "Computation of Rotor Noise Generation in Turbulent Flow Using Large-Eddy Simulation"

WHERE: 103 Multidisciplinary Research Building
FROM: 10:00AM TO 12:00PM

A computational study is carried out to investigate the noise generated by a ten-bladed rotor ingesting low-Mach-number turbulent flow. Two types of turbu- lent inflows are considered: homogeneous and isotropic turbulence mimicking grid- generated turbulence in a previous experiment and a turbulent cylinder wake.

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