A minimum of 20 working days of training in an industrial summer practice program after the completion of third year. The training is based on the contents of the "Summer Practice Guide Booklet" prepared by each engineering department. Students receive practical knowledge and hands-on experience in an industrial setting.
Characteristics of fluids, fluid statics, Bernoulli equation, fluid kinematics, boundary layers, viscous flows and turbulence.
Steady state and transient conduction. Convection. Internal and external flows. Radiation. Analysis and design of heat exchange equipment.
Basic concepts to analyze and design different machine components. Design of assemblies to meet certain requirements.
Modeling and dynamic analysis of mechanical systems. Feedback control.
Materials: structure of metals, testing for mechanical properties, physical properties, heat treatments, iron and steel, non-ferrous metals, polymers and composite materials. Processes: casting, rolling, forging, extrusion, sheet-metal forming, powder-metallurgy, polymer and composite processing, rapid-prototyping and machining (turning and milling). Engineering metrology and instrumentation. Introduction to CNC coding and simulations.
Introduction to programming in MATLAB, foundations in computing, root finding, solving systems of linear equations with direct and iterative methods, solving nonlinear equations of multi-variables, curve-fitting, numerical differentiation and integration, solving ODEs and PDEs using Eulerian time-marching scheme and finite difference method (FDM), solving many engineering problems related with initial- and boundary-value problems, Laplace and heat equations.
Introduction to finite element method (FEM) as a computational tool for stress analysis. Basic theory with emphasis on linear elasticity and application of the FEM to various engineering problems: stress analysis, natural modes and frequencies of vibration, heat transfer, mechanics of micro and nano structures. Development of finite element code and use of commercial codes for practical applications.
A minimum of 20 working days of training in an industrial summer practice program after the completion of third year. The training is based on the contents of the "Summer Practice Guide Booklet" prepared by each engineering department. Students receive practical knowledge and hands-on experience in an industrial setting.
Basic instrumentation and measurement techniques for mechanical engineering systems. Experimentation with thermal systems and machines to demonstrate thermodynamics, fluid, heat transfer, dynamics and control concepts. Data acquisition, analysis, and presentation techniques.
Indicial notation, tensor algebra, coordinate transformation, linear elasticity, stress, strain, constitutive law for linear elastic solids, the principle of virtual displacements, plane stress and plane strain, yield criteria (von Mises, Tresca, yield surfaces), work hardening models (isotropic hardening, kinematic hardening), elasticity, plasticity, uni-axial deformation, multi-axial deformation.
Applications of mechanics to biological systems; basic principles of mechanics (force-moment, stress-strain, work, energy, rigid body dynamics), analysis of human movement, musculoskeletal mechanics, tissue mechanics, motor control system, sports biomechanics, and rehabilitation engineering.
Material and manufacturing process selection in automotive engineering, product design and development, quality control and testing methods, general introduction to other fields of automotive engineering.
Teaches deterministic vibratory motion of mechanical systems. Includes free, forced-harmonic, forced-periodic, and forced-transient vibration of single-degree-of-freedom, multiple-degree-of-freedom, and continuous systems. It also gives an introduction to the Finite Element Method.
Particle kinematics. Kinematics of rigid bodies. Newtonian kinetics of a rigid body. Impulse-momentum and work-energy principles. Analytical mechanics. Holonomic and nonholonomic constrains. Virtual displacement. Generalized forces. Hamilton`s principle. Lagrange equations. Constrained generalized coordinates. Computational methods in the state space. Hamiltonian Mechanics. Gibbs-Appell equations. Gyroscopic effects.
Foundations of fluid mechanics introduced at an advanced level. Aspects of kinetic theory as it applies to formulation of continuum fluid dynamics. Introduction to tensor analysis and derivation of Navier Stokes equations and energy equation for compressible fluids. Boundary conditions and surface phenomena. Viscous flows, boundary layer theory, potential flows and vorticity dynamics. Introduction to turbulence and turbulent flows.
Numerical methods for elliptic, parabolic, hyperbolic and mixed type partial differential equations arising in fluid flow and heat transfer problems. Finite-difference, finite-volume and some finite-element methods. Accuracy, convergence, and stability; treatment of boundary conditions and grid generation. Review of current methods. Assignments require programming a digital computer.
Polymers, their synthesis and properties. Relationshios between molecular structure and properties. Rheology in polymer processing. Fabrication methods and applications.
Overview of MEMS materials and fabrication techniques; mechanical concepts and components; transduction techniques; MEMS sensors.
Investigations of aerodynamic interactions in wind turbine and wind farm technology. Computational modeling, design and their support systems. Introduction to aeroelasticity, vortex dynamics and noise generation. Atmospheric turbulence models and atmospheric boundary layer analysis. Panel-vortex-wake and reduced-order methods, turbomachinary design, principles of low speed aerodynamics applied to wind turbine, propeller and wind farm design/ operation. Drag reduction, three-dimensional effects, efficiency and flow control. Aerodynamic testing and wind tunnel experiments. Wind transportation, sailboats and other emerging topics on aerodynamics of clean energy alternatives.
The principles of rocket propulsion system design and analysis. The fundamental aspects of physics and chemistry of rocket propulsion will be discussed. The concentration will be on the design and analysis of chemical propulsion systems including liquids, solids and hybrids. Non-chemical propulsion concepts such as electric and nuclear rockets will also be covered. Finally launch vehicle design and optimization issues including trajectory calculations will be discussed.
Geometric, physics-based, and probabilistic modeling methodology and associated computational tools for interactive simulation: computer programming, numerical methods, graphical modeling and programming, physics-based and probabilistic modeling techniques.
Introduction to composites; composite manufacturing processes; transport equations for composite processing; process modeling; review of numerical methods and programming in MATLAB; advanced thermoplastic- and thermoset-matrix fiber-reinforced composites; liquid composite molding processes; designing, modeling, simulation and hands-on manufacturing of composite parts using resin transfer molding (RTM) and vacuum infusion (VI) processes; on-line control and data acquisition.
Modeling, simulation and identification of physical systems. Instrumentation. Sensors and transduscers. Hardware components. Pneumatic, hydraulic, mechanical and electrical actuators. Programmable logic controllers (PLC). Signals, systems, and controls. Real time interfaceing and programing. Microprocessor-based electro-mechanical control applications and projects for factory automation, manufacturing and machine systems.