UNIVERSITY OF NORTH DAKOTA/GRAND FORKS SCHOOL OF ENGINEERING AND MINES
DISTANCE ENGINEERING DEGREE PROGRAM
EXAMINATION INSTRUCTIONS
Student
Name
Course #
ME 306
CiEn 306
Exam to be taken by (date)
Exam #
Instructor
7-16-2011 (Sat)
YES
Open book
Take-home
Electrostaticcontrol of particle deposition
and
HIROAKI
MASUDA
YAMAGUCHI
KEN-ICHIRO MAKOTO
TANOUE,
Yoshida-Honmachi,
University,
Sakyo-ku,
Department Engineering,
of Chemical Kyoto
606-8501,
Kyoto Japan
1998
Received 1998; 17
17
September
July accepted
in
Part 1. Stoichiometry
Write an EES Code that solves for the moles of reactants and products for complete combustion. The
EES code should be given a fuel (example C2H5OH), the number of moles of Carbon, Hydrogen, and
Oxygen in the fuel (C=2, H=6, O=1 in th
Part 1. Stoichiometry
Write an EES Code that solves for the moles of reactants and products for complete combustion. The
EES code should be given a fuel (example C2H5OH), the number of moles of Carbon, Hydrogen, and
Oxygen in the fuel (C=2, H=6, O=1 in th
H.L. Walmsley / Journal of Electrostatics 68 (2010) 520
2)
3)
4)
5)
6)
7)
hydrocarbon/air mixtures [1], the charge-transfer chargecollection efciency associated with a typical test setup (disc
with same area as a 150 mm square sheet) is 0.81, 0.75 or 0.69
www.mathematics.me.uk
Matrix Eigenvalues and Eigenvectors
Eigenvalues and eigenvectors are the most fundamental characteristics of a square
matrix1. For a square matrix A, the eigenvectors is the set of non -trivial (ie non-zero)
vectors that are simply s
18.03, R05
LINEAR SYSTEMS
1
Eigenvalues and eigenvectors of matrices
a11
a21
.
.
.
.
.
a1n
a2n
.
.
.
an1
A=
a12
a22
.
.
.
an2
.
ann
1. The trace of A is the sum of the elements on the diagonal, Tr A = a11 + a22 + . . . + ann .
2. The determinant of A is c
Solving Scalar Linear Systems
Iterative approach
Lecture 15
MA/CS 471
Fall 2003
Some matlab scripts to construct various types of random circuit loop matrices
are available at the class website:
The Sparsity Pattern of a Loop Circuit Matrix for
a Random C
Lecture 15
Linear Transformation &
Eigenvalues and Eigenvectors
Last Time
- Introduction to Linear Transformations
- The Kernel and Range of a Linear Transformation
Elementary Linear Algebra
R. Larsen et al. (5 Edition)
TKUEE e
-NTUEE SCC_01_2008
Lecture
HW9
Username:
Total:
Posted:
Due:
hairer-established
85 possible marks
2011-07-21 15:05
2011-07-29 23:59
1. (10 marks) Determine whether the following series is convergent or divergent.
1
n n7 + 1
4
n=1
a) Convergent
b) Divergent
an xn converges for 0 x 1
Finding
Eigenvectors
Some Examples
General Information
Eigenvalues are used to find eigenvectors.
The sum of the eigenvalues is called the trace.
The product of the eigenvalues is the
determinant of the matrix.
An EIGENVECTOR of an n x n matrix A is a
vec
Faraday cup - Wikipedia, the free encyclopedia
1 of 2
http:/en.wikipedia.org/wiki/Faraday_cup
From Wikipedia, the free encyclopedia
Faraday cup
A Faraday cup is a metal (conductive) cup designed to
catch charged particles in vacuum. The resulting current
Copyright 2009 by National Stock Exchange of India Ltd. (NSE)
Exchange Plaza, Bandra Kurla Complex,
Bandra (East), Mumbai 400 051 INDIA
All content included in this book, such as text, graphics, logos, images, data compilation
etc. are the property of NSE
Show You Know #3 - Time to Blow your Geographic Minds MAT241
The boundaries of Wyoming are given by the
lines 41o North latitude, 45o North latitude,
104 o West longitude, and 111 o West
longitude.
The boundaries of Colorado are given by the
lines 37 o No
Module
8
Jigs and Fixtures for
Machine shops
Version 2 ME, IIT Kharagpur
Lesson
33
Purposes of jigs and
fixtures and their
Design principles
Version 2 ME, IIT Kharagpur
Instructional objectives
This lesson will enable the students
(i) Define Fixture and J
Module
7
Screw threads and gear
manufacturing
methods
Version 2 ME, IIT Kharagpur
Lesson
32
Manufacturing of
Gears.
Version 2 ME, IIT Kharagpur
Instructional objectives
At the end of this lesson, the students will be able to
(i) State the basic purposes o
Module
4
General Purpose
Machine Tools
Version 2 ME, IIT Kharagpur
Lesson
21
Methods of mounting of
jobs and cutting tools in
machine tools.
Version 2 ME, IIT Kharagpur
Instructional objectives
At the end of this lesson, the students will be able to;
(i)
Module
6
Superfinishing processes
Version 2 ME, IIT Kharagpur
Lesson
30
Superfinishing
processes, Honing,
Lapping and
Superfinishing
Version 2 ME, IIT Kharagpur
Instructional Objectives
At the end of this lesson the students would be able to
(i)
(ii)
(iii
Module
7
Screw threads and
Gear Manufacturing
Methods
Version 2 ME, IIT Kharagpur
Lesson
31
Production of screw
threads by Machining,
Rolling and
Grinding
Version 2 ME, IIT Kharagpur
Instructional objectives
At the end of this lesson, the students will be
Module
4
General purpose
machine tools
Version 2 ME, IIT Kharagpur
Lesson
19
Kinematic system and
operations of milling
machines.
Version 2 ME, IIT Kharagpur
Instructional Objectives
(i)
(ii)
(iii)
State the basic functions and purposes of using milling m
Module
4
General purpose
machine tools
Version 2 ME, IIT Kharagpur
Lesson
20
Construction, working
principle and
applications of
shaping,
planing and slotting
machines
.
Version 2 ME, IIT Kharagpur
Instructional objectives
At the end of this lesson, the s
Module
4
General Purpose
Machine Tools
Version 2 ME, IIT Kharagpur
Lesson
22
Use of various
Attachments in
Machine Tools.
Version 2 ME, IIT Kharagpur
Instructional objectives
At the end of this lesson, the students will be able to;
(i) Comprehend and stat
Module
4
General Purpose
Machine Tools
Version 2 ME, IIT Kharagpur
Lesson
23
Construction,
Operation and Tool
layout in
Semiautomatic and
Automatic
lathes.
Version 2 ME, IIT Kharagpur
Instructional objectives
This lesson will enable the students ;
(i) Ill
Module
2
Mechanics of
Machining
Version 2 ME IIT, Kharagpur
Lesson
9
Analytical and
Experimental
determination of
cutting forces
Version 2 ME IIT, Kharagpur
Instructional Objectives
At the end of this lesson, the student would be able to
(i)
(ii)
(iii)
(i
Efficiency for a centrifugal compressor for any polytropic process is given by:
Polytropic efficiency, pol=wpolwact=PiPevdPhe-hi
where, wpol is the polytropic work of compression
And,
wact is the actual work of compression.
For any polytropic compression
Efficiency for a centrifugal compressor for any polytropic process is given by:
Polytropic efficiency pol=wpolwact=PiPevdPhe-hi
where, wpol is the polytropic work of compression
And,
wact is the actual work of compression.
For any polytropic compression p
Electrostatics (Electric Potential)
Electric Potential at a point in an electric field is
defined as the work done per unit charge in
bringing a unit positive charge from infinity to that
point without any acceleration and against the
electric force.
Elec
Eigenvalues & Eigenvectors
Example
Suppose
multiplying a vector in
. Then
. So, geometrically,
by the matrix A results in a vector which is a reflection of the given
vector about the y-axis.
We observe that
and
.
Thus, vectors on the coordinate axes get m