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Introduction to manufacturing system modeling and analysis. Fundamental principles of production systems. Analytical and simulation approach to production system performance analysis, continuous improvement, and design. Topics include mathematical modeling of production systems, production lines with various statistic distribution models of machine reliability, improvement analysis and real-time decision making. Includes both the relevant fundamental concepts and the extensive practical knowledge base on which manufacturing research, development, and design depend. The students are expected to complete a project, in which they will interpret real-life manufacturing plant operation in the light of course principles and suggest improvement solutions.
Differential and integral formulation. Exact and approximate solutions. Topics include parallel and boundary layer flows, similarity solutions, external and internal flows, laminar and turbulent convection, and forced and free convection.
Heat conduction and conservation laws; formulation of conduction equations in differential and integral forms; analytical solution techniques including Laplace transforms and separation of variables; scaling analysis; black body radiation, Kirchoff's law, analysis of heat conduction problems; analysis of radiative exchange between surfaces and radiative transport through absorbing, emitting, and scattering media.
Topics include basic heating, ventilating, and air-conditioning (HVAC) system design and selection for commercial buildings (includes both low-rise and high-rise buildings); selection of central plant components and equipment; calculation of space heating and cooling load; computer techniques for estimating annual energy consumption; design tools for reducing energy consumption; ASHRAE codes; building controls; BACnet.
An introduction to the use of mathematical analysis techniques for the solution of engineering analysis problems and the simulation of engineering systems. Both continuous and discrete methods are covered. Initial and boundary value problems for ordinary and partial differential equations are treated.
A continuation of the material covered in MEC 507. Introduction to and application of numerical analysis techniques used in engineering such as finite elements and fast Fourier transforms. Determination of response characteristics of dynamic systems. Combinatoric methods and techniques for optimization of engineering design and systems/process analysis problems.
Introduction to differential and integral formulation of mass, momentum, and energy transport in fluids and solids. Topics include viscosity, laminar flow, turbulent flows, conduction, convection, heat transfer coefficients, radiation, boundary layers, diffusion, and applications to energy technology.
Practical introduction to C++ and object-oriented programming for a first programming course for scientists and engineers. Covers basics of application software development such as problem decomposition, structure charts, object modeling, class diagrams, incremental code building, and testing at a beginner's level. Features the concepts of abstract data types (ADT), encapsulation, inheritance, composition, polymorphism, operator and function overloading besides studying UML (Unified Modeling Language) as a graphical representational design technique. The course follows the evolution of programming ideas from the use of a single function to the use of structural charts and functions to modularize and finally to the use of object-oriented programming.
Lagrangian and Eulerian frames. Dynamical equations of momentum and energy transfer. Two-dimensional dynamics of incompressible and barotropic perfect fluids and of the compressible perfect gas. Conformal mapping applied to two-dimensional fluid dynamics. Jets and cavities. Surface waves, internal waves. Perfect shear flows.
The role of viscosity in the dynamics of fluid flow. The Navier-Stokes equations, low Reynolds number behavior including lubrication theory, percolation through porous media, and flow due to moving bodies. High Reynolds number behavior including steady, unsteady, and detached boundary layers, jets, free shear layers, and wakes. Phenomenological theories of turbulent shear flows are introduced.
Experiments in the areas of infrared imaging, heat pumps, batteries/power electronics, solar thermal, thermal conductivity, and insulation. The focus is on system efficiencies, system integration, and design for residential markets. The fundamentals of the relevant technologies will be presented and utilized in the laboratory sessions. Student groups are assigned laboratory projects focused on applying various energy technologies to solve engineering problems.
Experiments in the areas of thermoelectric power, fuel cells, photovoltaics, wind turbines, hydrogen storage, hydrogen generation, and power electronics in addition to related project work. The focus is on system efficiencies, system integration, and design for residential markets. Student groups are assigned laboratory projects to build experience applying various energy technologies to solve problems.
MEC 518 Energy Harvesting is designed to systematically disseminate recent advances in various energy harvesting technologies in the last decade. The topic will include mechanical vibrations, piezoelectric materials, electromagnetic transducers, thermoelectric materials, electromechanical system design, power electronics, and control, as well as the applications of energy harvesting to vehicles, transportations, civil structures, and ocean waves.
An introduction to the properties, characterization, manufacturing, andapplications of various smart materials and structures. This course will cover sensors, actuators, and energy devices based on smart materials, including piezoelectric materials, electroactive polymers, magnetostrictive materials, magnetorheological fluids, and shape memory polymers. The goal is to expose students to fundamentals of smart materials and structures needed for thedesign and applications in engineering applications.
This course begins with a review of the fundamental concepts and laws of classical thermodynamics. Then the thermostatic theory of equilibrium states and phase transitions is treated, followed by the thermodynamic theory of processes of simple systems and composite systems, including heat engines. Special topics may include istatisical thermodynamics, irreversible thermodynamics, radiation and photovoltaic energy conversion,, biological thermodynamic processes, and other topics of current interest.
Building is treated as a time-dependent energy system, with its interactive components coupled through energy and mass flows under an environment defined in terms of sunlight, ambient air and wind and with its equipment which assist in meeting building-dwellers comfort requirements. Major components discussed are thermal mass (both interior mass and envelope mass) and their thermal capacities, building envelopes and their heat transfer resistances, room air including its circulation and heat exchange with thermal mass, and the transparent part of the envelope the glazing or windows and the solar system passing through it during the day and the heat loss during the night time. Major equipment include lighting, air circulation system, cooling and heating equipment, solar thermal panels and solar PV panels, and other equipment including integrated electric and control units. Of the comfort requirements only temperature-and-humidity and illumination are studied with the objective of creating, through a system-understanding of the building, buildings that in the short run meet these requirements involving minimal use of energy and in the long run are benchmarked against the environmentally regenerative capabilities of wilderness.
Combustion fundamentals. Carnot cycle; reversible internal combustion engine cycle; introduction to practical internal combustion. engine cycles. Internal combustion piston engines; engine combustion and emission processes; engine operating characteristics. Gas turbine engines. Composite engines: turbocharging piston engines; gas generator engines; turbocompounding engines. Method of exhaust heat recovery for improvement of thermal efficiency. Method of intercooling-supercharging for thermal efficiency improvement.
Introduction of finite difference, finite volume, and finite element methods for incompressible flows and heat transfer. Topics include explicit and implicit schemes, accuracy, stability and convergence, derived and primitive-variables formulation, orthogonal and non-orthogonal coordinate systems. Selected computer assignments from heat conduction, incompressible flows, forced and free convection.
This graduate course will concentrate on the design concept development of the product development cycle, from the creative phase of solution development to preliminary concept evaluation and selection. The course will then cover methods for mathematical modeling, computer simulation and optimization. The concept development component of the course will also cover intellectual property and patent issues. The course will not concentrate on the development of any particular class of products, but the focus will be mainly on mechanical and electromechanical devices and systems. As part of the course, each participant will select an appropriate project to practice the application of the material covered in the course and prepare a final report.
First and second law design and analysis of modern power cycles including Rankin Steam Cycles, Bryton Gas Turbine cycles, Combined Cycles, Cogeneration, Central Heat and Power Generation (CHP), Tri-generation and current advances in thermal power systems design and analysis. Cycle efficiency and factors effecting performance and plant efficiency. Thermodynamic analysis of proposed as well as existing thermal energy systems.
Designing high performance buildings requires the application of building energy modeling (BEM) that uses computer-based software to simulate thermal processes in buildings. In applying building energy modeling, this course emphasizes the importance of formulating the problem in terms of assumptions: The two alternative assumptions are the static building load assumption and the dynamic building process assumption. The resistor-capacitor (RC model is introduced. With a 3D building model developed in Autodesk Revit, energy analysis is carried out with a series of software. Popular whole-building energy simulation programs, such as EnergyPlus and TRNSYS, are then explained briefly.
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