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MURI Program: Numerical Experiments on Laminar and Turbulent Behavior

DUE is home to IEL and the CRL which is administering the Multidisciplinary Undergraduate Research Institute (MURI) both in the academic year and the summer, which creates and supports multidisciplinary research teams consisting of undergraduate and graduate students, postdoctoral fellows, senior staff and faculty. The primary purpose of these teams is to provide undergraduates a unique opportunity to gain research skills by working with mentors on real world problems.

Overview of department:

The Department of Mechanical and Energy Engineering offers high quality education and research opportunities to help prepare students for the professional world. The mission of the department is to provide with the best educational and research curriculum possible, giving the tools and knowledge needed to succeed in the field of Mechanical and Energy Engineering. One of the fundamental – and most diverse – engineering disciplines, mechanical and energy engineering equips men and women to make a difference on the smallest micro-scale level, as well as in large, complex systems. Each day, mechanical engineering principles are used in the conception, design, development, and manufacture of almost every product or process known to man.

Project summary:

Perform numerical experiments to explore laminar and turbulent flow behavior using an in-house MATLAB code. Examples of the numerical experiment will be provided.

Specific tasks that the MURI student will complete: 

  1. Explore the factors (nonlinear terms, bifurcation parameters, etc.) that affects the laminar and turbulent patterns through time series and power spectrum.
  2. Explore phase diagram to establish the correlations between flow pattern and bifurcation parameters.

Specific qualifications (knowledge, skills, class standing, etc) we desire the MURI candidate to have:

MATLAB programing, statistical analysis, time series,

Learning objectives as connected to the IUPUI Profiles of Undergraduate Learning:
By the end of this position assignment, the student will meet the following learning objectives

  1. Problem Solver: First-hand experience on numerical experiments of a discrete dynamic system.
  2. Communicator: Coauthors if results are published as journal/ conference papers