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Mechanical Engineering
Department of Mechanical Engineering, College of Engineering

KEY TO COURSE
DESCRIPTIONS
Mechanical Engineering > 400-level+

UNDERGRADUATE DEGREE COURSES
ME 413.3
Machine Design I
1(3L)
Prerequisite(s): ME 316, 323 and 324.

Deals with various machine design fundamentals and the use of integrated design software. Design for fatigue and consideration of fracture mechanics is emphasized. Topics include: the selection of fasteners, rolling element bearings, V-belts and roller chains and the design of coil and leaf springs, spur gears, clutches and brakes.

ME 417.3
Thermodynamics II
1(3L)
Prerequisite(s): ME 227; ME 335 (taken).

A second course in equilibrium thermodynamics. It focuses on the second law and the concept of entropy, which are used to study the conditions of thermal, mechanical and chemical equilibrium, with applications to power cycles, refrigeration cycles and reacting mixtures. The second law is next used to develop the concept of availability or energy. Finally, both the first and second laws are used to study one-dimensional compressible duct flow.

ME 418.3
Mechanical Engineering Laboratory III
1(6P)
Prerequisite(s): ME 328.
Corequisite(s): ME 417 and 431.

The laboratory exercises give the student responsibility for planning and setting up laboratory experiments and for the preparation of written reports. The use of standard measuring procedures in Mechanical Engineering is also emphasized. These laboratory exercises include control systems, fatigue and tribology, CNC manufacturing, engines and compressors, and vibrations.

ME 431.3
Control Systems
1(3L)
Prerequisite(s): ME 352.

Transfer functions, transient and frequency responses, performance specifications, stability analyses, introduction to design (compensation).

ME 450.3
Finite Element Analysis
1(3L-3P Alt weeks)
Prerequisite(s): ME 321 (taken) and 323.

The finite element concept is introduced using simple structural elements. The method is then generalized using weighted residual methods. Numerous engineering problems drawn mainly from solid mechanics are solved using finite element methods. It is shown how the finite element method might be used for fluid flow and heat transfer analysis.

ME 460.3
Automation and Robotics in Manufacturing
2(3L-3P Alt weeks)
Prerequisite(s): ME 229 and 316.

An introduction to production automation and robotic modelling. Topics include: flow line production, automated assembly systems and line balancing, industrial robotics, kinematics, dynamics and trajectory control of robots.

ME 463.3
Advanced Structural Analysis
2(3L-3P Alt weeks)
Prerequisite(s): ME 450.

Governing equations for plates, membranes, shells and thin-walled beams. Applications to typical engineering problems. Elements of structural stability and dynamics. Some geometrically and materially nonlinear problems. Methods of numerical solutions, including the use of advanced FEM.

ME 469.3
Computers in Mechanical Engineering
2(3L-3P Alt weeks)
Prerequisite(s): ME 321.

Introduces students to several aspects of the practice of incorporating or embedding computers in mechanical designs (Mechatronics). Included are the use of microcontrolers for data collection, sensing and control. The class emphasizes a hands on approach and communication within disparate design groups.

ME 471.3
Introduction to Aerodynamics
2(3L-3P Alt weeks)
Prerequisite(s): ME 215.
Corequisite(s): ME 335.

This course is an introduction to aerodynamics which explores the lift and drag performance of airfoils. Potential flow is used to develop the theory of flow over airfoils and wings, using both classical and numerical - e.g. vortex panel - methods. Boundary layer theory is used to explain the role of viscosity and the potential for flow separation. Numerical models are used to predict skin friction values. Finally, the development of shock waves for supersonic conditions is considered.

ME 472.3
Advanced Control Systems
2(3L-3P Alt weeks)
Prerequisite(s): ME 431.

Topics include: frequency response, design and compensation using root-locus and frequency response methods, state-space approach, nonlinear systems, Liapunov stability methods, digital control systems, as well as case studies.


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