Catriona White

When a drop is exposed to an air stream moving at an initial relative velocity, aerodynamic forces can cause it to deform and, in some cases, fragment. This process is commonly referred to as secondary atomization. In order to study this process, digital-inline holography (DIH) was used to measure size-velocity probability distribution functions, pdf(d,V), for drop fragments formed by bag mode breakup. DIH uses two laser beams to create three- dimensional images (holograms) of the secondary atomization, allowing new results to be garnered on the outcome of drop breakup and fragmentation. HoloSAND 1.1 was used to analyze the DIH data in order to determine fragment diameters and positions during breakup, from which fragment velocities and accelerations were extracted. Results, which demonstrate bi-modal fragment size distributions, are reported in terms of dimensionless Weber (We) and Ohnesorge (Oh) numbers for the ranges 11

Apoorv Maheshwari

With increasing complexity and multi-disciplinary nature of the products, it is becoming increasingly difficult to keep track of all the information generated during the design process. Moreover, in the aerospace industry, typical life-cycle for a product is about five decades from the design proposal to its disposal. During this long life-cycle, a number of changes occur in the requirements and the available technology. To keep pace with these changes, the product (and its components) are redesigned and upgraded multiple times during the life-cycle. During upgrades, it is very important to be able to trace the effect of changing requirements on the overall product design. To tackle this challenge, Model-Based Systems Engineering (MBSE) has been proposed in the Systems Engineering (SE) community where emphasis is placed on applying visual modeling methods to perform traditional SE activities. In our research, we propose a novel data-driven, reverse engineering process that discovers the vital legacy product requirements using machine learning and other statistical analysis tools. This approach enables the implementation of MBSE to the legacy products that were designed using the traditional SE approach. We demonstrate the reverse engineering approach for a hypothetical beam company consisting of three teams: R&D, Manufacturing & Supply Chain.

What is the Research Symposium Series?

The Research Symposium Series is a department-sponsored forum for graduate students and advanced-level undergraduates to present their research to a general audience.

The Research Symposium Series is designed to: 

• Facilitate the exchange of ideas and knowledge among faculty and graduate students.
• Provide opportunities for students to develop their technical presentation skills.
• Promote the research activities of the department to undergraduates and other interested individuals.

2017 Prizes

• $500, $300, $200 for best three presentations
• $150 for best undergraduate presentation
• $150 for best abstract

Questions about the Research Symposium Series may be directed to:
aaerss@ecn.purdue.edu
https://engineering.purdue.edu/AAE/Academics/StudentOrgs/aaerss
*Winners in the presentation category cannot compete in that category the following year. The same applies for winners in the abstract category.