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2017 Ph.D. Defenses

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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Apr

27

2017

PhD Candidate Satyaki Bhattacharjee - "Reduced Order Multiscale Modeling of Nonlinear Processes In Heterogeneous Materials"

WHERE: 257G Fitzpatrick Hall
FROM: 3:00PM TO 5:00PM

Predicting effective material properties of nonlinear heterogeneous materials from the knowledge of its micro-structure through numerical modeling and computational homogenization (CH) has many applications in engineering design. Direct numerical modeling (DNM) using finite element method (FEM) is capable of predicting material behavior accurately. Unfortunately, DNM and/or CH are computationally expensive methods.

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Apr

5

2017

PhD Candidate Samuel J. Jones - "Embedded Large Eddy Simulation for High Pressure Turbine Tip Clearance Analysis"

WHERE: B029 Hessert Laboratory
FROM: 10:00AM TO 12:00PM

This research proposes to study the effect of tip gap leakage flow in a High Pressure Turbine by means of a high resolution Embedded Large Eddy Simulation. URANS simulations of turbomachinery flows fail to accurately represent the vortical structures seen in experimental studies.

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