Cogeneration System(I)

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

Advanced Mathematics

Outline:

Mechanical Vibration

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

Micro-Machinery Heat Transfer

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

Practice of Computer-Aided Engineering

 

Principles of System Engineering

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

Micro-Heat Exchangers

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

Optimal Control

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

Viscous Flow

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

Mechanism Design

 

Non-Destructive Evaluation

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

Digital Image Process and Computer Vision

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

Energy Engineering

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 Enegy Application

Advanced Fluid Mechanics

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)

Thermal System Engineering

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

Finite Element Methods

 

Introduction to Nano-Material

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

Advanced Mechanical Properties of Material

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

Machinery System Design

Outlines:
Basic Concepts
Design Process
Contents of Design Drawing
Auxiliary Tools
Knowledge for 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 for Practical Examples
Design Examples

Micr-Fluid Machinery Design

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

Cleanroom Technologies

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 Ceanroom
Cleanroom Disciplines
Cleaning a Cleanroom

Digital Signal Process

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

Probabilistic System Analysis

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

Practice of Computational Fluid Dynamics

 

Micro Sensors

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

Advanced Dynamics

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

Optimal estimation

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

Electronic Cooling Technologies

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

Applied Quantum Mechanics

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

Convective Heat Transfer

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

Semiconductor Manufacture Process

 

Fuel Cells

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