Cogeneration System(I)
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Outline:
Basic Concept: Overall Picture of the Applied Fields for Cogeneration Systems Why Cogeneration Cogeneration and the Structure of the Fuel/Electricity Price Impact of Cogeneration on the Traditional Utility Company Tour to the Cogeneration Plant Incentive of the Cogeneration System Mid Oral Report by Students Concept of Combined and Multiple Cycles Tour to the 2nd Cogeneration Plant. (combined cycle) Cogeneration Systems with Boiler, Engine and Gas-turbine as Prime Mover Economic Analysis Tour to the Green-house Plant with Cogeneration Concept Application – Organic Rankine Cycle for Waste Heat Recovery I Application – Organic Rankine Cycle for Waste Heat Recovery II Application of Absorption Chiller to Cogeneration System I Application of Absorption Chiller to Cogeneration System II Final Oral Report for the Term Project by Students
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Advanced Mathematics
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Outline:
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Mechanical Vibration
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Outlines:
Fundamentals of Vibration Free Vibration of SDOF Harmonically Excited Vibration Transient Vibration Systems with MDOF Lagrange’s Equations Vibration of Continuous Systems Approximate methods
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Micro-Machinery Heat Transfer
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The third part of this course aims to address developed semi-analytical models as well as numerical methods for simulating micro heat transfer in gas micro flows. Also, it will give an overview on micro-sensors for heat transfer applications. Students can acquire the knowledge of the concept of MEMS and the application of thermal flow sensors.
Outlines: Basic Concepts and Technologies Examples for MEMS Modeling of Temperature-Induced Flows Numerical Techniques Paper Reviews Anemometer Type Flow Sensors Two-wire Anemometers Calorimetric Type Flow Sensors Sound Intensity Sensors Project Review and Discussion Final Term Paper and Presentation
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Practice of Computer-Aided Engineering
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Principles of System Engineering
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This course aims to educate students on how to solve the problems of mechanical systems via the techniques of system engineering. Students can acquire the techniques of handling complex problems arising from the field of mechanical engineering or their daily lives. Outline: Introduction System Definition Requirement Analysis System Structure System Modeling Modeling and Simulation Concept, Preliminary and Detail Design SDR,PDR,CDR (system reviews Test Evaluation and Logistics Life Cycle, Reliability and Project Management Configuration Management and ISO Quality Control Submarine SE Missile SE MEMS SE Final Report and Presentation
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Micro-Heat Exchangers
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Outlines: Introduction of Heat Exchangers Classification of Heat Exchangers Heat Exchanger Thermal-Hydraulic Fundamentals Heat Exchanger Thermal Design Basic Design of Heat Exchanger Forced Convection Correlation for Single Phase HX Compact Heat Exchangers Fouling Introduction to Heat Pipe Driving Forces and Interfacial Heat and Mass Transfer Heat Pipe Heat Exchangers
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Optimal Control
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Outlines: Review of Modern Control Theory Basic Theory of the Optimal Regulator Properties of Optimal Regulator Systems Sate Estimator Design Tracking Systems Optimal Linear Regulator with Controller Constraints Computational Aspects
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Viscous Flow
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This three-credit-hour course is intended for students in their first year of graduate study to learn basic principles of viscous fluid flow with a broad range of engineering applications. The contents include review of mass, momentum, energy equations, stress tensor, constitutive relations, exact solutions to laminar flows, Stokes and Oseen flows, concept of self-similarity, boundary layer theory: thin-layer approximation, Falkner-Skan, Blasius solutions, integral methods, jet, wake, cavity flows, introduction to turbulence: instability, Reynolds averaging, mixing length. The students are assumed to have a strong background in differential equations. The major focus of this course is still on boundary layers, and boundary layer theory subject to various flow assumptions, such as compressibility, turbulence, dimensionality, and heat transfer. Theoretical, numerical solution techniques and exercises are included. Outlines: Introduction Kinematics of Flow Field Equations Governing the Motion of a Fluid Solutions of the Newtonian Viscous-Flow Equations Boundary Layer Flows The Stability of Laminar Flows Incompressible Turbulent Mean Flow
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Mechanism Design
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Non-Destructive Evaluation
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Outlines: Introduction to Nondestructive Testing Discontinuities- Origins and Classification Visual Testing Penetrant Testing Magnetic Particle Testing Radiographic Testing Ultrasonic Testing Eddy current Testing Thermal Infrared Testing
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Digital Image Process and Computer Vision
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This course introduces digital image processing and machine vision algorithms, methods and concepts which will enable the student to implement machine vision systems with an emphasis on applications and problem solving. Topics include image enhancement; image restoration; color image processing; stereopsis; clustering and image segmentation; tracking; model-based vision; and template matching. This course will enable the student to implement machine vision systems with an emphasis on applications and problem solving. Outlines: Introduction Digital Image Fundamentals Image Enhancement in the Spatial Domain Image Restoration Color Image Processing The Geometry of Multiple Views Stereopsis Segmentation as Clustering Segmentation by Fitting a Mode Tracking with Linear Dynamic Models Model-Based Vision Template Matching Using Classifiers Industrial Applications
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Energy Engineering
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The knowledge of energy related topics, their basic theory, and their application will be introduced in the present lecture. English is the formal language in the class. Thermodynamics and fluid dynamics are the background courses for this class. Oral presentation and hand-in report in English are required in order to give fundamental training for them to step into English speaking environment. Outlines: Review of Fluid Flow and Thermodynamic Properties Introduction to the Application of Energy Systems Conventional Energy Systems: Fossil Fired Power Plants, Hydraulic Powered Plant Nuclear Powered Systems: Fission Typed Plants (BWR and PWR), Fast Breeder Reactors, Fusion Reactors Cogeneration and Waste Heat Recovery Fuel Cell and Its Potential Renewable Energy Green Building Concept CO2 Topic and Environment Concerns Novel Topics in Energy Application
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Advanced Fluid Mechanics
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This is a continuous course of the fundamental fluid mechanics course. The primary purpose of this course is to assist the student in developing an in-depth understanding of the basic principles of fluid mechanics and mastering sound problem-solving techniques. The course is designed to be practical and focus on numerous applications in the fields of fluid transport systems, aeronautical engineering, fluid power, power generation, and channel flow. On the other hand, fundamental concepts of flow fields will be emphasized to build up student’s abilities in analyzing complex flow systems. A design problem in fluid mechanics will be given as a term project. Students who successfully completed this course are supposed to gain a clear understanding and be able to solve problems in fluid mechanics. Students are encouraged to refresh fundamental courses in fluid mechanics and this course will serve as a preparation course if they have the intention in pursuing graduate study. Outlines: Conservation Laws of Fluid Mechanics Review of Fundamental Fluid Mechanics Stream Function and Velocity Potential Superposition of Plane Potential Flows Viscous Flow Similitude and Dimensional Analysis Viscous Flow in Pipes Term Project-Design Problem (I) Flow Over Immersed Bodies Drag Force and Lift Force Boundary Layer Theory Prandtl/Blasius Boundary Layer Solution Compressible Flow Term Project-Design Problem (II)
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Thermal System Engineering
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Outlines: Brief Introduction to Nuclear Reaction and its Related Thermal Engineering Concerns Introduction to Various Nuclear Power Plants - BWR, PWR, ABWR, FBR, etc Fundamental Theory of Nuclear Engineering Related Introduction of CFD Simulation Package: Pre-Processor of CFD2000 and Fluent Review of Fluid Flow and Thermodynamic Properties Review of Heat Transfer – Conduction, Convection and Radiation Brief Introduction of Phase Change Discussion of Term Project Problems for Energy Systems Introduction to the General Governing Equations of Continuity, Momentum and Energy Simplification to the General Governing Equations, such as Bernoulli Equation, potential flow, 1-D, 2-D, etc. Introduction to the Application of Post Processor and the Practice -- StormView & Tecplot Introduction to the Application of Post Processor and the Practice – Animation Application of Electronic Cooling
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Finite Element Methods
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Introduction to Nano-Material
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Outlines: Part 1 Introduction: definition and application. Part 2 Synthesis 2-1 Formation of clusters and nanoparticles from a supersaturated vapor and selected properties Particles Synthesis by Chemical Routes Synthesis of Semiconductor Nanoclusters Formation of Nanostructures by Mechanical Attrition Processing of Nanomaterials Processing of Nanostructured Sol-gel Materials Consolidation of Nanocrystalline Materials by Compaction and Sintering Properties of Nanostructured Materials Chemical Properties. Mechanical Properties Optical, Electronic, and Magnetic Properties Special Nanomaterials Carbon Nanotube Porous Si Nanostructures. Biological Nanomaterials Nanofabrication and Nanoelectronics Assessment of Technological Impact Impact on Mechanical and Related Technology Commercialization Opportunities for Nanometer
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Advanced Mechanical Properties of Material
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Introduction to the mechanical behavior of solids, emphasizing relationships between microstructure and mechanical properties. Outlines: Introduction to Mechanical Behavior Mechanical Fundamentals Elasticity Anelasticity and Damping The Tensile Test Dislocations Yielding in Crystalline Solids Strengthening Mechanisms
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Machinery System Design
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Outlines: Basic Concepts Design Process Contents of Design Drawing Auxiliary Tools Knowledge of Designing Mechanism System Structure System Control System Actuators and Sensors Methods and Elements of Joining Technology Documents and Handbook Product Catalogue Patents and Searching on Network Discussion of Practical Examples Design Examples
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Micro-Fluid Machinery Design
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This course aims to address theoretical issues and develop semi-analytical models as well as numerical methods for simulating micro flows. Also, it will give an overview on micro-sensors for fluid. Outlines: Basic Concepts and Technologies Modeling of Micro Flows Governing Equations and Slip Models Shear-Driven and Separated Micro Flows Pressure-Driven and Micro Flows: Slip Flow Regime Pressure-Driven and Micro Flows: Transition and Free-Molecular Regimes Numerical Methods for Continuum Simulation-fundamental Numerical Methods for Continuum Simulation-algorithm Numerical Methods for Continuum Simulation-solver Prototype Application of Gas Micro Flows Prototype Application of Gas Micro Flows-sensors Prototype Application of Gas Micro Flows-microchip
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Cleanroom Technologies
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Outlines: Introduction The History of Cleanroom Cleanroom Classification Standards Information Sources The Design of Turbulently ventilated and Ancillary Cleanroom The Design of Unidirectional Cleanroom Construction Materials and Surface Finishes High Efficiency Air Filtration High Efficiency Air Filtration Cleanroom Testing and Monitoring Measurement of Air Quantities and Pressure Differences Filter Installation Leak Testing Operating a Cleanroom Cleanroom Disciplines Cleaning a Cleanroom
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Digital Signal Process
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The objective of this course aims to introduce digital signal processing at advanced undergraduate and first-year graduate level. This course gives a coherent treatment of discrete-time linear systems, sampling, filtering and filter design, reconstruction, the discrete-time Fourier and z-transforms, Fourier analysis of signals, the fast Fourier transform, and spectral estimation. This course develops the basic theory independently for each of the transform domains and provides illustrative examples throughout to aid the students. Discussions of applications in the areas of speech processing, consumer electronics, acoustics, radar, geophysical signal processing, and remote sensing help place the theory in context. Outlines: Introduction Discrete-time Signals Time Domain Processing Discrete-time Fourier Transform & DFT The Z-transform Systems and Frequency Responses Simple Filters, Linear Phase More Filter Types Filter Structures Analog Filters IIR Filter Design FIR Filter Design The Fast Fourier Transform Interfacing to Continuous Time
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Probabilistic System Analysis
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This course discusses probability, statistics, and estimation and the application of these fields to modern engineering problems. The first half of the course develops the basic machinery of probability and statistics from first principles while the second half develops applications of the basic theory. This course discusses probability, statistics, and estimation and the application of these fields to modern engineering problems. The first half of the course develops the basic machinery of probability and statistics from first principles while the second half develops applications of the basic theory. Outlines: Probability Distributions and Densities Random Variables and Vectors Expectations, Covariance, Correlations, Functions of Random Variables and Vectors, and Conditional Distributions and Densities Mean Square Estimation Likelihood Tests Maximum Entropy Methods Monte Carlo Techniques Spectral Representations and Estimation Sampling Theory Bispectra and System Identification Cyclostationary Processes Deterministic Signals in Noise Wiener and Kalman Filters
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Practice of Computational Fluid Dynamics
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Micro Sensors
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Introduction to what sensor is in mini and micro scale, what different types and its principle and applications. Also the MEMS fabrication method will be introduced. Outlines: Introduction to Sensor System and Measurement Uncertainty Analysis MEMS and Microfabrication Temperature Measurement, Thermocouple Temperature Measurement, Other types Motion Measurements, Accelerometer Motion Measurements, Microgyro Stress and Strain Measurements MEMS Pressure Sensors SAW Devices FBAR Devices Microfluidic Devices Microbalanced Fluid Sensors Flow Measurement Systems Ultrasound Measurement Systems Laser Measurement Systems
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Advanced Dynamics
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This course is to present general theory and illustrative examples as well as homework problems in such a manner that the students may attain a real comprehension of the subject at the advanced level. The presentation of the material favors a problem-oriented course which emphasizes the ability to combine theories from the various chapters and to use differential equations in the solution of problems. The students could gain knowledge in solving dynamics problems in two major steps, the first being the formulation of equations of motion, and the second the extraction of information from these equations. Outlines: Kinematics of a Particle Dynamics of a Particle Dynamics of a system of Particles:Work and Kinetic Energy Dynamics of a system of Particles:Impulse and Momentum Generalized Coordinates, Constraints Virtual Work, Generalized Forces Lagrange's Equations Lagrange Multipliers Kinematics of Rigid Body Motion Euler's Angles Dynamics of a Rigid Body Gyrodynamics Spacecraft Motion
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Optimal estimation
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This course provides an introductory, yet comprehensive, treatment of both Wiener and Kalman filtering along with a development of least-squares estimation, maximum likelihood estimation, and maximum a posteriori estimation based on discrete-time measurements. Although this is a fairly broad range of estimation techniques, it is possible to cover all of them in some depth in a single course. Emphasis is also placed on showing how these different approaches to estimation fit together to form a systematic development of optimal estimation. MATLAB is used in the development of a number of the course examples and is required for many of the homework problems. This course provides an introductory, yet comprehensive, treatment of both Wiener and Kalman filtering along with a development of least-squares estimation, maximum likelihood estimation, and maximum a posteriori estimation based on discrete-time measurements. Outlines:
Introduction (signal estimation, state estimation, least-squares estimation) Random Signals and Systems with Random Inputs Optimal Estimation The Wiener Filter Recursive Estimation and the Kalman Filter Further Development of the Kalman Filter Kalman Filter Applications Nonlinear Estimation
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Electronic Cooling Technologies
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Outlines: Thermal Solution Trend and Development (I) Thermal Solution Trend and Development (II) Review of Basic Fluid Mechanics Brief_Lecture of Heat Transfer – Introduction and Thermal Conduction Brief_Lecture of Heat Transfer – Thermal Convection Brief_Lecture of Heat Transfer – Thermal Radiation and Phase Change Applied Heat Transfer for Electronics Cooling CFD-purpose Lecture – Applied Case Discussion CFD-purpose Lecture – Software Practice Axial Fans Marketing Scale of Thermal Products Heat Pipe Loop-type Heat Pipe
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Applied Quantum Mechanics
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This course is meant to serve a fundamental background in modern physics for students who pursue advanced study in the areas of Nano-technologies, material science, and electronic engineering, etc. The major goal of this course is to instill in the student an appreciation of the concepts and the methods of twentieth-century physics; and to set a cornerstone in the advent of the world of nanometers. Necessary prerequisites for understanding the course include any standard calculus-based course covering mechanics, electromagnetism, thermal physics, and some optics. Calculus is used extensively, but no previous knowledge of differential equations or PDE is assumed (although some familiarity with these topics is helpful). Emphasis will be given on the application of quantum mechanics, such as Laser, scanning tunneling microscopy (STM), and surface technologies, etc. Outlines: Review of Classical Physics The Special Theory of Relativity The Particle-like Properties of EM radiation The Wave-like Properties of Particles The Schrodinger Equation The Rutherford-Bohr Model of the Atom The Hydrogen Atom in Wave Mechanics Many-Electron Atoms Molecular Structure Solid-State Physics
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Convective Heat Transfer
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Outlines: Introduction Conservation Equations for Mass Boundary-Layer Equations Uncouple Laminar Boundary Layers Uncouple Laminar Duct Flows Uncouple Turbulent Boundary Layers Uncouple Turbulent Duct Flows Free Shear Flows Buoyant Flows
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Semiconductor Manufacture Process
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Fuel Cells
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The primary purpose of this course is to assist the student in developing an introductory understanding of the basic principles of fuel cells and mastering sound problem-solving techniques. The course is designed to be practical and focus on numerous applications in the fields of power production. On the other hand, fundamental concepts of engineering will be emphasized to build up student’s abilities in analyzing complex energy systems. Students who successfully completed this course are supposed to gain a clear understanding in fuel cell. Students are encouraged to refresh fundamental course in thermodynamics, fluid mechanics and heat transfer. Outlines: Introduction, Hydrogen Fuel Cell Introduction, Hydrogen Fuel Cell Current Limits Fuel Cell Types Energy and EMF of Hydrogen Fuel Cell Open Circuit Voltage (OCV) of Fuel Cells Efficiency of Fuel Cell Voltage Fuel Cell Irreversibilities Term Project Alkaline Electrolyte Fuel Cell (AEFC) Proton Exchange Membrane Fuel Cell (PEMFC) Phosphoric Acid Fuel Cell (PAFC) Molten Carbonate Fuel Cell (MCFC) Solid Oxide Fuel Cell (SOFC) Solid Oxide Fuel Cell (SOFC) System Integration Term Project
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