Dr Eddie Ly

Position	Lecturer
School / Work Unit	Math & Geospatial Sciences
Contact Details	+(61 3) 9925 2526 eddie.ly@rmit.edu.au
Location	Building: 8 Level: 9 Room: 23 City Campus
College/Portfolio	Science, Engineering & Health

Key activities

• Mathematics and Statistics Single-Course Coordinator (RMIT Training Pty. Ltd.)
• Mathematics and Statistics First-Year Coordinator

Qualifications

Degrees held

• Ph.D. (Mathematics), RMIT University, Australia, 2000
• Bachelor of Engineering (Aerospace Engineering, First Class Honours), RMIT University, Australia, 1996
• Bachelor of Applied Sciences (Mathematics, Distinction), RMIT University, Australia, 1995

List of credentials granted

Certificate of Completion of Engineering Training at Gas Turbine Division of Kawasaki Heavy Industries (KHI) Ltd., Akashi City, Japan, 1994

Professional Experiences

• Jan 2012 – Present:
  First-Year Coordinator (Mathematics & Statistics), School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia.
• Apr 2003 – Dec 2011:
  Lecturer, School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia
• Mar 2001 - Mar 2003:
  STA/JSPS Research Fellow, Structures and Materials Research Centre, National Aerospace Laboratory of Japan (NAL), Tokyo, Japan
• Feb 2000 - Feb 2001:
  Research Scientist (CFD Modeller), Weapons Systems Division, Systems Sciences Laboratory, Defence Science and Technology Organisation (DSTO), Salisbury, Australia
• Mar 1998 - Dec 1999:
  Lecturer, Department of Mathematics, RMIT University, Melbourne, Australia
• Mar 1996 - Dec 1997:
  Tutor, Department of Mathematics, RMIT University, Melbourne, Australia
• Dec 1993 - Feb 1994:
  Research Student, Gas Turbine Division, Gas Turbine and Machinery Company, Kawasaki Heavy Industries (KHI) Ltd., Akashi City, Hyogo Prefecture, Japan

Teaching Responsibilities

The subjects I have taught were first-year engineering mathematics subjects and Matlab programming to the engineering students (aerospace, chemical, electrical, environmental, mechanical and manufacturing engineering).Besides that, I have also taught programming in Maple to the first-year mathematics degree students, numerical methods and Fourier integral transforms to second-year engineering students, and integral transformations and special functions to the final-year mathematics degree students.

Teaching Grants

RMIT College of Science, Engineering and Health Academic Development Group Action Research in Teaching & Learning (ARTL) Scheme 2009

Project Title: Using Project-based Teaching and Assessment with Task Evaluation and Reflection Instrument for Student Self-Assessment (TERRISA) to Improve Engineering Students Learning Experience in Mathematical Programming

Duration: July 2009 to December 2009

Value: $4,230

Research Interests

• Numerical analysis, modellings and methods;
• Finite difference method, finite element method and finite volume method;
• Computational fluid dynamics (CFD);
• Computational aerodynamics and aeroelasticity of aircraft wing in subsonic and transonic speed regimes;
• Develop finite difference scheme based computer codes that solve the Transonic Small Disturbance (TSD) Equation subject to non-reflective far-field boundary conditions. The code has the capabilities to generate steady-state, full unsteady, time-linearised time-domain and time-linearised frequency-domain solutions in short turn-around times on modern personal computing platforms;
• Aeroengines;
• Multi-cores programming;
• Computational financial derivatives and modelling of financial markets.

Research Grants

• RMIT Emerging Researcher Grant Scheme 2006
  Title: Exact Dynamic Grid Systems for Numerical Aerodynamics
  Simulations of Flaperon-Configured Wings
  Duration: Oct 2006 ~ Dec 2007
  Value: AU $10,000

Awards

• Australian Postgraduate Award (APA) Scholarship, Jan. 1996 to Jun. 1999 (Australian Government, Australia)
• Science and Technology Agency (STA) Fellowship Award, Mar. 2001 to Mar. 2003 (Commissioned by the Japan Science and Technology Corporation (JSTC), Japan Society for the Promotion of Science (JSPS) and Australian Academy of Sciences, Australia)

Research Students Supervision

• Mr Daniel Norrison (PhD student), graduated in 2010.
  Research Title: Numerical Simulation of Complex Turbulent Flows
  Research Description: Aircraft are not rigid, but aeroelastic structures. This means that they are susceptible to an in-flight phenomenon known as flutter. Flutter is an aerodynamically induced vibration of the wing, tail or other part of the aircraft, which can result in complete structural failure. Of particular interest are the Australian designed and built General Aircraft Factory (GAF) Nomad N22 and N24 aircraft. The Nomad is a twin-turboprop utility aircraft, originally designed primarily as a short-take-off and landing (STOL) utility aircraft for short/medium-range transportation. The flaperon configuration, unique to the Nomad aircraft, has been identified as the cause of the low-speed flutter problem. The aim of this PhD research project is to attain a better understanding of the development of low-speed flutter for wings of flaperon configuration. This will involve creating grid generation codes and solvers for the Euler and Navier-Stokes equations, coupled with an appropriate turbulent model.
  
  
• Mr Robert Barrett (Honours Student), graduated 2010.
  Research Title: Simulation of Transonic Flows using Quad-Core OpenMP Euler, Flux-Modified Transonic Small Disturbance and FLUENT Codes
  
  
• Mr Andrew James Becker (PhD student, DSTO), commenced July 2011.
  Research Title: A Methodology for Determining Limits Applied to Inductive Wear Debris Sensors
  Supervisors: Prof. Sylvester Abanteriba (RMIT SAMME, primary supervisor), Dr Eddie Ly (RMIT SMGS, second supervisor), Dr David Forrester (DSTO Melbourne, research consultant, Mr Andreas Pelz (Rolls Royce, Deutschland, research consultant)
  Research Description: The presence of wear debris in lubricating oil systems can be a valuable indicator of incipient failure of important dynamic components such as gears, bearings and shafts. Traditionally, wear debris has been detected by the laboratory analysis of routine oil samples, inspection of magnetic chip detectors or the analysis of filter elements, all of which have significant limitations. Recently, in-line inductive wear debris sensors have been developed commercially that can be installed in the scavenge oil lines of a lubricating oil system to detect wear debris in near-real time. These sensors have found some application in the wind power, aviation and general industrial sectors. One important aspect that has been missing in relation to these sensors is a validated and logical methodology for setting appropriate limits. As with all condition monitoring techniques, if no meaningful limits are applied then the program is likely to degenerate into a data collecting exercise potentially resulting in incipient failures being undetected. The proposed research would develop and investigate several novel methodologies associated with establishing and applying wear debris limits specifically for application to in-line inductive wear debris sensors. Additionally, validation of the methods will be attempted using experimental data derived from full scale gearbox test rigs. Finally, a method for modifying the derived limits based on the consequences of failure will be developed.

Professional Activities

• Referee
• Editorial Team Member of the Mathematics in Engineering, Science and Aerospace (MESA), The Transdisciplinary International Journal

Research Publications

Lectures and Workshops

Nakamichi, J., and Ly, E., "Efficient Unsteady Aerodynamic Computations by TSD Including the Effects of Entropy, Vorticity and Shock Wave Motion," presented by Dr Jiro Nakamchi at Lectures and Workshop Internation: Recent Advances in Multidisciplinary Technology and Modeling, May 23-25, 2007, Japan Aerospace Exploration Agency (JAXA), Tokyo, Japan.